fix: extract ?project= in all remaining tools that accept memory:// URIs

Address PR review feedback: search_notes, edit_note, delete_note, and move_note all accept memory:// identifiers but were not extracting the ?project= query parameter before calling get_project_client(). This caused the project hint to be silently dropped, routing to the default project instead. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Drew Cain <groksrc@gmail.com>
feat: support ?project= query parameter on memory:// URIs
2026-06-21 13:47:35 +00:00 · 2026-02-13 23:33:54 -06:00 · 2026-02-13 22:16:12 -06:00
335 changed files with 8167 additions and 40860 deletions
@@ -1,3 +1,5 @@
 {
-  "enabledPlugins": {}
+  "enabledPlugins": {
+    "basic-memory@basicmachines": true
+  }
 }
@@ -1,30 +1,37 @@
 name: Tests

-concurrency:
-  group: bm-ci-${{ github.workflow }}-${{ github.repository }}-${{ github.head_ref || github.ref }}
-  cancel-in-progress: true
-
 on:
  push:
+    branches: [ "main" ]
  pull_request:
    branches: [ "main" ]
+  # pull_request_target runs on the BASE of the PR, not the merge result.
+  # It has write permissions and access to secrets.
+  # It's useful for PRs from forks or automated PRs but requires careful use for security reasons.
+  # See: https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows#pull_request_target
+  pull_request_target:
+    branches: [ "main" ]

 jobs:
-  static-checks:
-    name: Static Checks (Python 3.12)
-    timeout-minutes: 20
-    runs-on: ubuntu-latest
+  test-sqlite:
+    name: Test SQLite (${{ matrix.os }}, Python ${{ matrix.python-version }})
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, windows-latest]
+        python-version: [ "3.12", "3.13", "3.14" ]
+    runs-on: ${{ matrix.os }}

    steps:
      - uses: actions/checkout@v4
        with:
          submodules: true

-      - name: Set up Python 3.12
+      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v4
        with:
-          python-version: "3.12"
-          cache: "pip"
+          python-version: ${{ matrix.python-version }}
+          cache: 'pip'

      - name: Install uv
        run: |
@@ -38,7 +45,7 @@ jobs:

      - name: Install dependencies
        run: |
-          uv pip install -e ".[dev]"
+          uv pip install -e ".[dev,semantic]"

      - name: Run type checks
        run: |
@@ -48,125 +55,20 @@ jobs:
        run: |
          just lint

-  test-sqlite-unit:
-    name: Test SQLite Unit (${{ matrix.os }}, Python ${{ matrix.python-version }})
-    timeout-minutes: 30
+      - name: Run tests (SQLite)
+        run: |
+          uv pip install pytest pytest-cov
+          just test-sqlite
+
+  test-postgres:
+    name: Test Postgres (Python ${{ matrix.python-version }})
    strategy:
      fail-fast: false
      matrix:
-        include:
-          - os: ubuntu-latest
-            python-version: "3.12"
-          - os: ubuntu-latest
-            python-version: "3.13"
-          - os: ubuntu-latest
-            python-version: "3.14"
-          - os: windows-latest
-            python-version: "3.12"
-    runs-on: ${{ matrix.os }}
-
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          submodules: true
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python-version }}
-          cache: 'pip'
-
-      - name: Install uv
-        run: |
-          pip install uv
-
-      - uses: extractions/setup-just@v3
-
-      - name: Create virtual env
-        run: |
-          uv venv
-
-      - name: Install dependencies
-        run: |
-          uv pip install -e ".[dev]"
-
-      - name: Run tests
-        run: |
-          just test-unit-sqlite
-
-  test-sqlite-integration:
-    name: Test SQLite Integration (${{ matrix.os }}, Python ${{ matrix.python-version }})
-    timeout-minutes: 45
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - os: ubuntu-latest
-            python-version: "3.12"
-          - os: ubuntu-latest
-            python-version: "3.13"
-          - os: ubuntu-latest
-            python-version: "3.14"
-          - os: windows-latest
-            python-version: "3.12"
-    runs-on: ${{ matrix.os }}
-
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          submodules: true
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python-version }}
-          cache: 'pip'
-
-      - name: Install uv
-        run: |
-          pip install uv
-
-      - uses: extractions/setup-just@v3
-
-      - name: Create virtual env
-        run: |
-          uv venv
-
-      - name: Install dependencies
-        run: |
-          uv pip install -e ".[dev]"
-
-      - name: Run tests
-        run: |
-          just test-int-sqlite
-
-  test-postgres-unit:
-    name: Test Postgres Unit (Python ${{ matrix.python-version }})
-    timeout-minutes: 30
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - python-version: "3.12"
-          - python-version: "3.13"
-          - python-version: "3.14"
+        python-version: [ "3.12", "3.13", "3.14" ]
    runs-on: ubuntu-latest
-    services:
-      postgres:
-        image: pgvector/pgvector:pg16
-        env:
-          POSTGRES_USER: basic_memory_user
-          POSTGRES_PASSWORD: dev_password
-          POSTGRES_DB: basic_memory_test
-        ports:
-          - 5432:5432
-        options: >-
-          --health-cmd "pg_isready -U basic_memory_user -d basic_memory_test"
-          --health-interval 10s
-          --health-timeout 5s
-          --health-retries 5
-    env:
-      BASIC_MEMORY_TEST_POSTGRES_URL: postgresql://basic_memory_user:dev_password@127.0.0.1:5432/basic_memory_test
+
+    # Note: No services section needed - testcontainers handles Postgres in Docker

    steps:
      - uses: actions/checkout@v4
@@ -191,72 +93,15 @@ jobs:

      - name: Install dependencies
        run: |
-          uv pip install -e ".[dev]"
+          uv pip install -e ".[dev,semantic]"

-      - name: Run tests
+      - name: Run tests (Postgres via testcontainers)
        run: |
-          just test-unit-postgres
+          uv pip install pytest pytest-cov
+          just test-postgres

-  test-postgres-integration:
-    name: Test Postgres Integration (Python ${{ matrix.python-version }})
-    timeout-minutes: 45
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - python-version: "3.12"
-          - python-version: "3.13"
-          - python-version: "3.14"
-    runs-on: ubuntu-latest
-    services:
-      postgres:
-        image: pgvector/pgvector:pg16
-        env:
-          POSTGRES_USER: basic_memory_user
-          POSTGRES_PASSWORD: dev_password
-          POSTGRES_DB: basic_memory_test
-        ports:
-          - 5432:5432
-        options: >-
-          --health-cmd "pg_isready -U basic_memory_user -d basic_memory_test"
-          --health-interval 10s
-          --health-timeout 5s
-          --health-retries 5
-    env:
-      BASIC_MEMORY_TEST_POSTGRES_URL: postgresql://basic_memory_user:dev_password@127.0.0.1:5432/basic_memory_test
-
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          submodules: true
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python-version }}
-          cache: 'pip'
-
-      - name: Install uv
-        run: |
-          pip install uv
-
-      - uses: extractions/setup-just@v3
-
-      - name: Create virtual env
-        run: |
-          uv venv
-
-      - name: Install dependencies
-        run: |
-          uv pip install -e ".[dev]"
-
-      - name: Run tests
-        run: |
-          just test-int-postgres
-
-  test-semantic:
-    name: Test Semantic (Python 3.12)
-    timeout-minutes: 45
+  coverage:
+    name: Coverage Summary (combined, Python 3.12)
    runs-on: ubuntu-latest

    steps:
@@ -282,8 +127,27 @@ jobs:

      - name: Install dependencies
        run: |
-          uv pip install -e ".[dev]"
+          uv pip install -e ".[dev,semantic]"

-      - name: Run tests
+      - name: Run combined coverage (SQLite + Postgres)
        run: |
-          just test-semantic
+          uv pip install pytest pytest-cov
+          just coverage
+
+      - name: Add coverage report to job summary
+        if: always()
+        run: |
+          {
+            echo "## Coverage"
+            echo ""
+            echo '```'
+            uv run coverage report -m
+            echo '```'
+          } >> "$GITHUB_STEP_SUMMARY"
+
+      - name: Upload HTML coverage report
+        if: always()
+        uses: actions/upload-artifact@v4
+        with:
+          name: htmlcov
+          path: htmlcov/
@@ -31,7 +31,6 @@ See the [README.md](README.md) file for a project overview.
 - Run benchmarks: `pytest test-int/test_sync_performance_benchmark.py -v -m "benchmark and not slow"`
 - Lint: `just lint` or `ruff check . --fix`
 - Type check: `just typecheck` or `uv run pyright`
- Type check (supplemental): `just typecheck-ty` or `uv run ty check src/`
 - Format: `just format` or `uv run ruff format .`
 - Run all code checks: `just check` (runs lint, format, typecheck, test)
 - Create db migration: `just migration "Your migration message"`
@@ -442,9 +441,5 @@ With GitHub integration, the development workflow includes:
 3. **Branch management** - Claude can create feature branches for implementations
 4. **Documentation maintenance** - Claude can keep documentation updated as the code evolves
 5. **Code Commits**: ALWAYS sign off commits with `git commit -s`
-6. **Pull Request Titles**: PR titles must follow the semantic format enforced by `.github/workflows/pr-title.yml`: `type(scope): summary`
-   - Allowed types: `feat`, `fix`, `chore`, `docs`, `style`, `refactor`, `perf`, `test`, `build`, `ci`
-   - Allowed scopes: `core`, `cli`, `api`, `mcp`, `sync`, `ui`, `deps`, `installer`
-   - Example: `fix(cli): propagate cloud workspace routing`

 This level of integration represents a new paradigm in AI-human collaboration, where the AI assistant becomes a full-fledged team member rather than just a tool for generating code snippets.
@@ -1,226 +1,11 @@
 # CHANGELOG

-## Unreleased
-
-## v0.20.3 (2026-03-26)
-
-### Bug Fixes
-
- **#698**: CLI cloud commands now use API key when configured
-  - `get_authenticated_headers()` only checked OAuth tokens, ignoring `config.cloud_api_key`
-  - All CLI cloud commands (`upload`, `status`, `snapshot`, `restore`, etc.) failed for API-key-only users while MCP tools worked fine
-  - Now mirrors the same credential priority as MCP: API key first, OAuth fallback
-  - Fixes `bm cloud upload --project` returning "project does not exist" when authenticated with `bmc_*` API key
-
-## v0.20.2 (2026-03-10)
-
-### Bug Fixes
-
- Fix auto-update Homebrew detection: `brew outdated` exits 1 when a formula is outdated, not on error
-  - Previously treated exit code 1 as a failure, causing "Automatic update check failed" instead of detecting the available update
-
-## v0.20.1 (2026-03-10)
-
-### Bug Fixes
-
- **#661**: Fix `bm project list` MCP column to show transport type (stdio/https) instead of DB presence
-  - Renamed "MCP (stdio)" column to "MCP"
-  - Shows actual routing mode: `stdio` for local, `https` for cloud projects
-  - Clears local path display for cloud-mode projects
- **#662**: Invalidate config cache when file is modified by another process
-  - Adds mtime-based cache validation to `ConfigManager.load_config()`
-  - Long-lived processes (MCP stdio server) now detect external config changes
-  - Fixes `bm project set-cloud` having no effect on running MCP server
-
-## v0.20.0 (2026-03-10)
-
-### Features
-
- **#643**: Default-on auto-update system and `bm update` command
-  - Automatic background update checks for CLI installs (uv tool, Homebrew)
-  - Install-source detection (homebrew, uv_tool, uvx, unknown) with uvx skip behavior
-  - Periodic check gating via `auto_update_last_checked_at` + `update_check_interval` config
-  - Manager-specific update flows: Homebrew (`brew upgrade`) and uv tool (`uv tool upgrade`)
-  - Silent, non-blocking MCP behavior via daemon thread before server run
-  - Manual commands: `bm update` (force check + apply) and `bm update --check` (check only)
-  - New config fields: `auto_update`, `update_check_interval`, `auto_update_last_checked_at`
-
-## v0.19.2 (2026-03-09)
-
-### Bug Fixes
-
- **#657**: Coerce string params to list/dict in MCP tools
-  - MCP clients that serialize `list`/`dict` arguments as JSON strings no longer fail Pydantic validation
-  - Adds `BeforeValidator` coercion to `search_notes` (`entity_types`, `note_types`, `tags`, `metadata_filters`), `write_note` (`metadata`), and `canvas` (`nodes`, `edges`)
- **#655**: Handle SQLite and Windows semantic search regressions
-  - Fix embedding status query for non-semantic SQLite databases
-  - Windows-safe log file rotation with per-process log filenames
-  - Robust `setup_logging` that handles all environments cleanly
-
-## v0.19.1 (2026-03-08)
-
-### Bug Fixes
-
- **#649**: Enforce strict entity resolution in destructive MCP tools (`edit_note`, `move_note`, `delete_note`)
-  - Prevents fuzzy-match fallback from silently editing/moving/deleting the wrong note
-  - DST-related timeframe validation fix (round instead of truncate days)
-
-### Features
-
- **#648**: Add `insert_before_section` and `insert_after_section` edit operations
- Add `GET /knowledge/graph` endpoint for full graph visualization
-
-### Dependencies
-
- Bump authlib from 1.6.6 to 1.6.7
-
-## v0.19.0 (2026-03-07)
-
-### Highlights
-
- **Semantic vector search** for SQLite and Postgres with FastEmbed embeddings
- **Schema system** for validating and inferring knowledge base structure
- **Per-project cloud routing** with API key authentication
- **Upgraded to FastMCP 3.0** with tool annotations
- **CLI overhaul** with JSON output, workspace awareness, and project dashboard
-
-### Features
-
- **#550**: Add semantic vector search for SQLite and Postgres
-  - FastEmbed-based embeddings with automatic backfill
-  - Hybrid search combining full-text and vector similarity
-  - Score-based fusion replacing RRF for better ranking
-  - `min_similarity` override for tuning search precision
-  - Semantic dependencies are now default, with optional extras fallback
-
- **#549**: Schema system for Basic Memory
-  - `schema_infer` — infer schema from existing notes
-  - `schema_validate` — validate notes against a schema definition
-  - `schema_diff` — compare schemas across projects
-  - Frontmatter validation support (#597)
-  - Read schema definitions from file instead of stale DB metadata (#635)
-
- **#555**: Per-project local/cloud routing with API key auth
-  - Individual projects route through cloud while others stay local
-  - `basic-memory cloud set-key` and `basic-memory project set-cloud/set-local`
-  - Stdio MCP honors per-project cloud routing (#590)
-
- **#598**: Upgrade FastMCP 2.12.3 to 3.0.1 with tool annotations
-
- **#585**: Add JSON output mode for MCP tools (default text)
-  - `--json` output for CLI commands for scripting and CI
-
- **#576**: Add workspace selection flow for MCP and CLI
-  - Workspace-aware cloud project listing
-  - CLI refactoring for workspace support
-
- **#544**: Project-prefixed permalinks and memory URL routing
-
- **#632**: Add overwrite guard to `write_note` tool
-
- **#614**: `edit_note` append/prepend auto-creates note if not found
-
- **#609**: Richer content context in search results
-  - Return matched chunk text in search results (#601)
-  - Improved content hit rate
-
- **#602**: Add `created_by` and `last_updated_by` user tracking to Entity
-
- **#600**: Rename `entity_type` to `note_type` across codebase
-
- **#574**: Add `display_name` and `is_private` to ProjectItem
-
- **#569**: Expose `external_id` in EntityResponse and link resolver
-
- **#567**: Isolate default SQLite DB by config dir
-
- **#560**: Enable `default_project_mode` by default
-
- **#559**: Add `basic-memory watch` CLI command
-
- **#546**: Add cloud discovery touchpoints to CLI and MCP
-
- **#572**: CLI analytics via Umami event collector
-
- Replace project info with htop-inspired dashboard
-
- Merge `search_by_metadata` into `search_notes` with optional query
-
- Add `--strip-frontmatter` to `basic-memory tool read-note`
-
- Add `destination_folder` parameter to `move_note` tool
-
-### Bug Fixes
-
- **#644**: Fix default project resolution in cloud mode
-  - ChatGPT search/fetch tools broken in cloud mode
-  - `resolve_project_parameter` falls back to projects API
-
- **#638**: Restore API backward compatibility for v0.18.x clients
-
- **#637**: Create backup before config migration overwrites old format
-
- **#636**: `list_workspaces` bypasses factory pattern on cloud MCP server
-
- **#631**: `build_context` related_results schema validation failure
-
- **#613**: Reduce excessive log volume by demoting per-request noise to DEBUG
-
- **#612**: Handle quoted picoschema enum strings in YAML frontmatter
-
- **#607**: Guard against closed streams in promo and missing vector tables
-
- **#606**: Accept null for `expected_replacements` in `edit_note`
-
- **#595**: `recent_activity` dedup and pagination across MCP tools
-
- **#593**: Backend-specific distance-to-similarity conversion
-
- **#582**: Use LinkResolver fallback in `build_context` for flexible identifier matching
-
- **#577**: Replace RRF with score-based fusion in hybrid search
-
- **#575**: Remove hardcoded "main" default from `default_project`
-
- **#534**: Speed up `bm --version` startup
-
- Fix semantic embeddings not generated on fresh DB or upgrade
-
- Clarify `search_notes` parameter naming and fix `note_types` case sensitivity
-
- Parse `tag:` prefix at MCP tool level to avoid hybrid search failure
-
- Cap sqlite-vec knn k parameter at 4096 limit
-
- Parameterize SQL queries in search repository type filters
-
- Coerce list frontmatter values to strings for title and type fields
-
- Avoid `Post(**metadata)` crash when frontmatter contains 'content' or 'handler' keys
-
- Upgrade cryptography and python-multipart for security advisories
-
-### Internal
-
- **#594**: Add `ty` as supplemental type checker
- Batched vector sync orchestration across repositories
- FastEmbed parallel guardrails and provider caching
- Improved cloud CLI status and error messages
- CI coverage and Postgres test fixes
-
-## v0.18.5 (2026-02-13)
-
-### Bug Fixes
-
- Strip NUL bytes from content before PostgreSQL search indexing
-  ([`ec9b2c4`](https://github.com/basicmachines-co/basic-memory/commit/ec9b2c4))
-
-## v0.18.4 (2026-02-12)
+## v0.18.3 (2026-02-12)

 ### Bug Fixes

 - Use global `--header` flag for Tigris consistency on all rclone transactions
-  ([`0eae0e1`](https://github.com/basicmachines-co/basic-memory/commit/0eae0e1))
+  ([`7fcf587`](https://github.com/basicmachines-co/basic-memory/commit/7fcf587))
  - `--header-download` / `--header-upload` only apply to GET/PUT requests, missing S3
    ListObjectsV2 calls that bisync issues first. Non-US users saw stale edge-cached metadata.
  - `--header` applies to ALL HTTP transactions (list, download, upload), fixing bisync for
@@ -11,9 +11,9 @@

 - **Cross-device and multi-platform support is here.** Your knowledge graph now works on desktop, web, and mobile.
 - **Cloud is optional.** The local-first open-source workflow continues as always.
- **OSS discount:** use code `BMFOSS` for 20% off for 3 months.
+- **OSS discount:** use code `{{OSS_DISCOUNT_CODE}}` for 20% off for 3 months.

-[Sign up now →](https://basicmemory.com?utm_source=github&utm_medium=referral&utm_campaign=readme)
+[Sign up now →](https://basicmemory.com)

 with a 7 day free trial

@@ -23,21 +23,8 @@ Basic Memory lets you build persistent knowledge through natural conversations w
 Claude, while keeping everything in simple Markdown files on your computer. It uses the Model Context Protocol (MCP) to
 enable any compatible LLM to read and write to your local knowledge base.

-## What's New in v0.19.0
-
- **Semantic Vector Search** — find notes by meaning, not just keywords. Combines full-text and vector similarity for hybrid search with FastEmbed embeddings.
- **Schema System** — infer, validate, and diff the structure of your knowledge base with `schema_infer`, `schema_validate`, and `schema_diff` tools.
- **Per-Project Cloud Routing** — route individual projects through the cloud while others stay local, using API key authentication (`basic-memory project set-cloud`).
- **FastMCP 3.0** — upgraded to FastMCP 3.0 with tool annotations for better client integration.
- **CLI Overhaul** — JSON output mode (`--json`) for scripting, workspace-aware commands, and an htop-inspired project dashboard.
- **Smarter Editing** — `edit_note` append/prepend auto-creates notes if they don't exist; `write_note` has an overwrite guard to prevent accidental data loss.
- **Richer Search Results** — matched chunk text returned in search results for better context.
-
-See the full [CHANGELOG](CHANGELOG.md) for details.
-
- Website: [basicmemory.com](https://basicmemory.com?utm_source=github&utm_medium=referral&utm_campaign=readme)
- Documentation: [docs.basicmemory.com](https://docs.basicmemory.com?utm_source=github&utm_medium=referral&utm_campaign=readme)
- Community: [Discord](https://discord.gg/tyvKNccgqN?utm_source=github&utm_medium=referral&utm_campaign=readme)
+- Website: https://basicmemory.com
+- Documentation: https://docs.basicmemory.com

 ## Pick up your conversation right where you left off

@@ -75,36 +62,6 @@ uv tool install basic-memory

 You can view shared context via files in `~/basic-memory` (default directory location).

-## Automatic Updates
-
-Basic Memory includes a default-on auto-update flow for CLI installs.
-
- **Auto-install supported:** `uv tool` and Homebrew installs
- **Default check interval:** every 24 hours (`86400` seconds)
- **MCP-safe behavior:** update checks run silently in `basic-memory mcp` mode
- **`uvx` behavior:** skipped (runtime is ephemeral and managed by `uvx`)
-
-Manual update commands:
-
-```bash
-# Check now and install if supported
-bm update
-
-# Check only, do not install
-bm update --check
-```
-
-Config options in `~/.basic-memory/config.json`:
-
-```json
-{
-  "auto_update": true,
-  "update_check_interval": 86400
-}
-```
-
-To disable automatic updates, set `"auto_update": false`.
-
 ## Why Basic Memory?

 Most LLM interactions are ephemeral - you ask a question, get an answer, and everything is forgotten. Each conversation
@@ -387,20 +344,22 @@ basic-memory sync --watch
 3. Cloud features (optional, requires subscription):

 ```bash
-# Authenticate with cloud (stores OAuth token locally)
+# Authenticate with cloud (global cloud mode via OAuth)
 basic-memory cloud login

-# (Optional) install/configure rclone for file sync commands
-basic-memory cloud setup
+# Bidirectional sync with cloud
+basic-memory cloud sync

-# Check cloud auth + health
-basic-memory cloud status
+# Verify cloud integrity
+basic-memory cloud check
+
+# Mount cloud storage
+basic-memory cloud mount
 ```

 **Per-Project Cloud Routing** (API key based):

-Individual projects can be routed through the cloud while others stay local. This uses an API key for routed
-project calls:
+Individual projects can be routed through the cloud while others stay local. This uses an API key instead of OAuth:

 ```bash
 # Save an API key (create one in the web app or via CLI)
@@ -414,87 +373,61 @@ basic-memory project set-cloud research
 # Revert a project to local mode
 basic-memory project set-local research

-# List projects and route metadata
+# List projects with mode column (local/cloud)
 basic-memory project list
 ```

-`basic-memory cloud login` / `basic-memory cloud logout` are authentication commands. They do not change default CLI
-routing behavior.
+**Routing Flags** (for users with global cloud mode):

-**Routing Flags**:
-
-Use routing flags to disambiguate command targets:
+When global cloud mode is enabled, CLI commands communicate with the cloud API by default. Use routing flags to override this:

 ```bash
-# Force local routing for this command
+# Force local routing (useful for local MCP server while cloud mode is enabled)
 basic-memory status --local
 basic-memory project list --local
-basic-memory project ls --name main --local

-# Force cloud routing for this command
+# Force cloud routing (when cloud mode is disabled but you want cloud access)
 basic-memory status --cloud
 basic-memory project info my-project --cloud
-basic-memory project ls --name main --cloud
 ```

-No-flag behavior defaults to local when no project context is present.
-
-The local MCP server routes per transport: `--transport stdio` honors per-project routing
-(local or cloud), while `--transport streamable-http` and `--transport sse` always route locally.
-
-**CLI Note Editing (`tool edit-note`):**
-
-```bash
-# Append content
-basic-memory tool edit-note project-plan --operation append --content $'\n## Next Steps\n- Finalize rollout'
-
-# Find/replace with replacement count validation
-basic-memory tool edit-note docs/api --operation find_replace --find-text "v0.14.0" --content "v0.15.0" --expected-replacements 2
-
-# Replace a section body
-basic-memory tool edit-note docs/setup --operation replace_section --section "## Installation" --content $'Updated install steps\n- Run just install'
-
-# JSON metadata output for integrations
-basic-memory tool edit-note docs/setup --operation append --content $'\n- Added note' --format json
-```
+The local MCP server (`basic-memory mcp`) automatically uses local routing, so you can use both local Claude Desktop and cloud-based clients simultaneously.

 4. In Claude Desktop, the LLM can now use these tools:

 **Content Management:**
 ```
-write_note(title, content, folder, tags, output_format="text"|"json") - Create or update notes
-read_note(identifier, page, page_size, output_format="text"|"json") - Read notes by title or permalink
+write_note(title, content, folder, tags) - Create or update notes
+read_note(identifier, page, page_size) - Read notes by title or permalink
 read_content(path) - Read raw file content (text, images, binaries)
 view_note(identifier) - View notes as formatted artifacts
-edit_note(identifier, operation, content, output_format="text"|"json") - Edit notes incrementally
-move_note(identifier, destination_path, output_format="text"|"json") - Move notes with database consistency
-delete_note(identifier, output_format="text"|"json") - Delete notes from knowledge base
+edit_note(identifier, operation, content) - Edit notes incrementally
+move_note(identifier, destination_path) - Move notes with database consistency
+delete_note(identifier) - Delete notes from knowledge base
 ```

 **Knowledge Graph Navigation:**
 ```
-build_context(url, depth, timeframe, output_format="json"|"text") - Navigate knowledge graph via memory:// URLs
-recent_activity(type, depth, timeframe, output_format="text"|"json") - Find recently updated information
+build_context(url, depth, timeframe) - Navigate knowledge graph via memory:// URLs
+recent_activity(type, depth, timeframe) - Find recently updated information
 list_directory(dir_name, depth) - Browse directory contents with filtering
 ```

 **Search & Discovery:**
 ```
 search(query, page, page_size) - Search across your knowledge base
-search_notes(query, page, page_size, search_type, types, entity_types, after_date, metadata_filters, tags, status, project) - Search with filters (query is optional for filter-only searches)
+search_notes(query, page, page_size, search_type, types, entity_types, after_date, metadata_filters, tags, status, project) - Search with filters
+search_by_metadata(filters, limit, offset, project) - Structured frontmatter search
 ```

 **Project Management:**
 ```
-list_memory_projects(output_format="text"|"json") - List all available projects
-create_memory_project(project_name, project_path, output_format="text"|"json") - Create new projects
+list_memory_projects() - List all available projects
+create_memory_project(project_name, project_path) - Create new projects
 get_current_project() - Show current project stats
 sync_status() - Check synchronization status
 ```

-`output_format` defaults to `"text"` for these tools, preserving current human-readable responses.
-`build_context` defaults to `"json"` and can be switched to `"text"` when compact markdown output is preferred.
-
 **Cloud Discovery (opt-in):**
 ```
 cloud_info() - Show optional Cloud overview and setup guidance
@@ -518,38 +451,13 @@ canvas(nodes, edges, title, folder) - Generate knowledge visualizations

 ## Futher info

-See the [Documentation](https://docs.basicmemory.com?utm_source=github&utm_medium=referral&utm_campaign=readme) for more info, including:
+See the [Documentation](https://docs.basicmemory.com) for more info, including:

- [Complete User Guide](https://docs.basicmemory.com/user-guide/?utm_source=github&utm_medium=referral&utm_campaign=readme)
- [CLI tools](https://docs.basicmemory.com/guides/cli-reference/?utm_source=github&utm_medium=referral&utm_campaign=readme)
- [Cloud CLI and Sync](https://docs.basicmemory.com/guides/cloud-cli/?utm_source=github&utm_medium=referral&utm_campaign=readme)
- [Managing multiple Projects](https://docs.basicmemory.com/guides/cli-reference/?utm_source=github&utm_medium=referral&utm_campaign=readme#project)
- [Importing data from OpenAI/Claude Projects](https://docs.basicmemory.com/guides/cli-reference/?utm_source=github&utm_medium=referral&utm_campaign=readme#import)
-
-## Telemetry
-
-Basic Memory collects anonymous, minimal usage events to understand how the CLI-to-cloud conversion funnel performs. This helps us prioritize features and improve the product.
-
-**What we collect:**
- Cloud promo impressions (when the promo banner is shown)
- Cloud login attempts and outcomes
- Promo opt-out events
-
-**What we do NOT collect:**
- No file contents, note titles, or knowledge base data
- No personally identifiable information (PII)
- No IP address tracking or fingerprinting
- No per-command or per-tool-call tracking
-
-Events are sent to our [Umami Cloud](https://umami.is) instance, an open-source, privacy-focused analytics platform. Events are fire-and-forget on a background thread — analytics never blocks or slows the CLI.
-
-**Opt out** by setting the environment variable:
-
-```bash
-export BASIC_MEMORY_NO_PROMOS=1
-```
-
-This disables both promo messages and all telemetry events.
+- [Complete User Guide](https://docs.basicmemory.com/user-guide/)
+- [CLI tools](https://docs.basicmemory.com/guides/cli-reference/)
+- [Cloud CLI and Sync](https://docs.basicmemory.com/guides/cloud-cli/)
+- [Managing multiple Projects](https://docs.basicmemory.com/guides/cli-reference/#project)
+- [Importing data from OpenAI/Claude Projects](https://docs.basicmemory.com/guides/cli-reference/#import)

 ## Logging

@@ -569,11 +477,8 @@ Basic Memory uses [Loguru](https://github.com/Delgan/loguru) for logging. The lo
 |----------|---------|-------------|
 | `BASIC_MEMORY_LOG_LEVEL` | `INFO` | Log level: DEBUG, INFO, WARNING, ERROR |
 | `BASIC_MEMORY_CLOUD_MODE` | `false` | When `true`, API logs to stdout with structured context |
-| `BASIC_MEMORY_FORCE_LOCAL` | `false` | When `true`, forces local API routing |
-| `BASIC_MEMORY_FORCE_CLOUD` | `false` | When `true`, forces cloud API routing |
-| `BASIC_MEMORY_EXPLICIT_ROUTING` | `false` | When `true`, marks route selection as explicit (`--local`/`--cloud`) |
+| `BASIC_MEMORY_FORCE_LOCAL` | `false` | When `true`, forces local API routing (ignores cloud mode) |
 | `BASIC_MEMORY_ENV` | `dev` | Set to `test` for test mode (stderr only) |
-| `BASIC_MEMORY_NO_PROMOS` | `false` | When `true`, disables cloud promo messages and telemetry |

 ### Examples

@@ -640,7 +545,6 @@ Tests use pytest markers for selective execution:
 just install          # Install with dev dependencies
 just lint             # Run linting checks
 just typecheck        # Run type checking
-just typecheck-ty     # Run ty type checking (incremental supplement to pyright)
 just format           # Format code with ruff
 just fast-check       # Fast local loop (fix/format/typecheck + testmon + smoke)
 just doctor           # Local consistency check (temp config)
@@ -648,11 +552,6 @@ just check            # Run all quality checks
 just migration "msg"  # Create database migration
 ```

-**Type Checking Strategy:**
- `just typecheck` (Pyright) remains the primary, blocking type checker.
- `just typecheck-ty` (Astral `ty`) is available as a supplemental checker while rules are adopted incrementally.
- We recommend running both locally while reducing `ty` diagnostics over time.
-
 **Local Consistency Check:**
 ```bash
 basic-memory doctor   # Verifies file <-> database sync in a temp project
@@ -677,4 +576,4 @@ and submitting PRs.
 </picture>
 </a>

-Built with ♥️ by [Basic Machines](https://basicmachines.co?utm_source=github&utm_medium=referral&utm_campaign=readme)
+Built with ♥️ by Basic Machines
@@ -18,7 +18,7 @@ Each entrypoint uses a **composition root** pattern to manage configuration and
 A composition root is the single place in an application where dependencies are wired together. In Basic Memory, each entrypoint has its own composition root that:

 1. Reads configuration from `ConfigManager`
-2. Resolves runtime mode (local/test)
+2. Resolves runtime mode (cloud/local/test)
 3. Creates and provides dependencies to downstream code

 **Key principle**: Only composition roots read global configuration. All other modules receive configuration explicitly.
@@ -52,7 +52,10 @@ class Container:
    def create(cls) -> "Container":
        """Create container by reading ConfigManager."""
        config = ConfigManager().config
-        mode = resolve_runtime_mode(is_test_env=config.is_test_env)
+        mode = resolve_runtime_mode(
+            cloud_mode_enabled=config.cloud_mode_enabled,
+            is_test_env=config.is_test_env,
+        )
        return cls(config=config, mode=mode)

    @property
@@ -96,19 +99,18 @@ class RuntimeMode(Enum):
        return self == RuntimeMode.TEST
 ```

-Resolution follows this precedence in local app flows: **TEST > LOCAL**
+Resolution follows this precedence: **TEST > CLOUD > LOCAL**

 ```python
-def resolve_runtime_mode(is_test_env: bool) -> RuntimeMode:
+def resolve_runtime_mode(cloud_mode_enabled: bool, is_test_env: bool) -> RuntimeMode:
    if is_test_env:
        return RuntimeMode.TEST
+    if cloud_mode_enabled:
+        return RuntimeMode.CLOUD
    return RuntimeMode.LOCAL
 ```

-**Note**: `RuntimeMode` determines global behavior (e.g., whether to start file sync).
-Per-project routing is orthogonal: individual projects can be set to `cloud` mode via `ProjectMode`,
-which affects client routing in `get_client(project_name=...)` without changing global runtime mode.
-`RuntimeMode.CLOUD` may remain for compatibility, but standard local runtime resolution does not select it.
+**Note**: `RuntimeMode` determines global behavior (e.g., whether to start file sync). Per-project routing is orthogonal — individual projects can be set to `cloud` mode via `ProjectMode` in config, which affects client routing in `get_client(project_name=...)` without changing the global runtime mode.

 ## Dependencies Package

@@ -1,147 +1,175 @@
-# Simplified Local/Cloud Routing
+# Per-Project Local/Cloud Routing

 ## Context

-Basic Memory now uses explicit, project-aware routing without a global cloud-mode toggle.
-Routing is determined by command-level flags and project mode, not by a global `cloud_mode` state.
+basic-memory's cloud/local mode is currently a global toggle (`cloud_mode: bool`). When enabled, ALL projects route through the cloud proxy via OAuth. This is too coarse — users should be able to keep some projects local and route others through cloud.

-This document is the canonical contract for local/cloud routing behavior in CLI, MCP, and API-adjacent clients.
+The cloud API already supports API key auth (`bmc_`-prefixed keys, `POST /api/keys` to create, `HybridTokenVerifier` routes them automatically). API keys are per-tenant (account-level), not per-project — there are no per-project permissions in the cloud yet.

-## Goals
+**Goal**: Users can set each project to `local` or `cloud` mode. Local projects use the existing ASGI in-process transport. Cloud projects use the cloud API with a single account-level API key. No OAuth dance needed for cloud project access.

-1. Remove global `cloud_mode` from runtime/routing semantics.
-2. Keep MCP HTTP/SSE local-only; let stdio honor per-project routing.
-3. Make CLI routing explicit and easy to reason about.
-4. Support projects that exist in both local and cloud without ambiguity.
+## UX Flow

-## Routing Contract
+**Option A — Create key in web app:**
+1. User creates API key in cloud web app (already supported)
+2. Copies the key
+3. Runs `bm cloud set-key bmc_abc123...` → saves to config.json

-Routing is resolved in this order:
+**Option B — Create key via CLI:**
+1. User is already logged in via OAuth (`bm cloud login`)
+2. Runs `bm cloud create-key "my-laptop"` → calls `POST /api/keys` with JWT auth → gets key back → saves to config.json
+3. OAuth login is no longer needed for day-to-day use — the API key handles auth

-1. Injected client factory (for composition/integration contexts)
-2. Explicit routing override (`--local` / `--cloud` or env vars below)
-3. Project-scoped routing (`project.mode`) when a project is known
-4. Default local routing
+**Setting project mode:**
+```bash
+bm project set-cloud research      # route "research" project through cloud
+bm project set-local research      # revert to local
+bm project list                    # shows mode column (local/cloud)
+```

-### Routing Environment Variables
+## Implementation Plan

- `BASIC_MEMORY_FORCE_LOCAL=true`: force local transport
- `BASIC_MEMORY_FORCE_CLOUD=true`: force cloud proxy transport
- `BASIC_MEMORY_EXPLICIT_ROUTING=true`: marks routing as explicitly chosen for this command
+### Step 1: Config model changes

-When explicit routing is active, project mode does not override the selected route.
+**File: `src/basic_memory/config.py`**

-## Config Semantics
+- Add `ProjectMode` enum: `LOCAL = "local"`, `CLOUD = "cloud"`
+- Add `ProjectConfigEntry` Pydantic model: `path: str`, `mode: ProjectMode = LOCAL`
+- Evolve `BasicMemoryConfig.projects` from `Dict[str, str]` to `Dict[str, ProjectConfigEntry]`
+- Add `model_validator(mode="before")` to auto-migrate old `{"name": "/path"}` format to `{"name": {"path": "/path", "mode": "local"}}`
+- Add `cloud_api_key: Optional[str] = None` field to `BasicMemoryConfig` (account-level, not per-project)
+- Update `ProjectConfig` dataclass to carry `mode` from config entry
+- Add helpers: `get_project_entry(name)`, `get_project_mode(name)`
+- Keep global `cloud_mode` as deprecated fallback
+- Update all code that reads `config.projects` as `Dict[str, str]` to handle `ProjectConfigEntry`

- `project.mode` is the only config-based routing signal for project-scoped operations.
- Legacy `cloud_mode` values may be encountered during migration/loading but are not used for routing behavior.
- Normalization saves remove stale `cloud_mode` from `~/.basic-memory/config.json`.
+### Step 2: Client routing

-### Example Config
+**File: `src/basic_memory/mcp/async_client.py`**
+
+- Add optional `project_name: Optional[str] = None` parameter to `get_client()`
+- Routing logic (priority order):
+  1. Factory injection (`_client_factory`) — unchanged
+  2. Force-local (`_force_local_mode()`) — unchanged
+  3. **New**: If `project_name` provided and project's mode is `CLOUD` → HTTP client with `cloud_api_key` as Bearer token, hitting `cloud_host/proxy`
+  4. Global `cloud_mode_enabled` fallback — existing OAuth flow (deprecated)
+  5. Default: local ASGI transport
+- Error if cloud project but no `cloud_api_key` in config — actionable message pointing to `bm cloud set-key` or `bm cloud create-key`
+
+### Step 3: Project-aware client helper
+
+**File: `src/basic_memory/mcp/project_context.py`**
+
+- Add `get_project_client(project, context)` async context manager
+- Combines `resolve_project_parameter()` (config-only, no network) + `get_client(project_name=resolved)` + `get_active_project(client, resolved, context)`
+- Returns `(client, active_project)` tuple
+- Solves bootstrap problem: resolve project name first, create correct client, then validate
+
+### Step 4: Simplify ProjectResolver
+
+**File: `src/basic_memory/project_resolver.py`**
+
+- Remove global `cloud_mode` parameter — routing mode is orthogonal to project resolution
+- Resolution becomes purely: constrained env var → explicit param → default project
+- Update `resolve_project_parameter()` in `project_context.py` to drop `cloud_mode` param
+
+### Step 5: Update MCP tools
+
+**Files: `src/basic_memory/mcp/tools/*.py` (~15 files)**
+
+Mechanical change per tool:
+```python
+# Before
+async with get_client() as client:
+    active_project = await get_active_project(client, project, context)
+
+# After
+async with get_project_client(project, context) as (client, active_project):
+```
+
+Special handling for `recent_activity.py` discovery mode: iterate projects, create per-project client for each.
+
+### Step 6: Sync coordinator
+
+**Files: `src/basic_memory/sync/coordinator.py`, `src/basic_memory/mcp/container.py`**
+
+- Filter file watchers to local-mode projects only
+- Cloud projects skip sync
+
+### Step 7: CLI commands
+
+**File: `src/basic_memory/cli/commands/cloud/core_commands.py`**
+
+- `bm cloud set-key <api-key>` — saves API key to config.json
+- `bm cloud create-key <name>` — calls `POST {cloud_host}/api/keys` using existing JWT auth (from `make_api_request`), saves returned key to config. Uses existing `api_client.py:make_api_request()` for the authenticated call.
+
+**File: `src/basic_memory/cli/commands/project.py`**
+
+- `bm project set-cloud <name>` — sets project mode to cloud (validates API key exists in config)
+- `bm project set-local <name>` — reverts project to local mode
+- Extend `bm project list` / `bm project info` to show mode column
+
+### Step 8: RuntimeMode simplification
+
+**File: `src/basic_memory/runtime.py`**
+
+- `resolve_runtime_mode()` drops `cloud_mode_enabled` parameter
+- Simplifies to: TEST if test env, otherwise LOCAL
+- `RuntimeMode.CLOUD` kept for backward compat but not used in global resolution
+
+### Step 9: Tests
+
+- Config: migration from old format, round-trip serialization, `get_project_mode()`
+- `get_client()`: local project → ASGI, cloud project → HTTP+API key, missing key → error
+- `get_project_client()`: resolve + route combined
+- MCP tools: representative sample with new helper
+- Sync: cloud projects skipped, local projects synced
+- CLI: `set-key`, `create-key`, `set-cloud`, `set-local`
+
+## Key Files
+
+| File | Change |
+|------|--------|
+| `src/basic_memory/config.py` | `ProjectMode`, `ProjectConfigEntry`, migration, `cloud_api_key` field |
+| `src/basic_memory/mcp/async_client.py` | `get_client(project_name=)` per-project routing |
+| `src/basic_memory/mcp/project_context.py` | `get_project_client()` helper |
+| `src/basic_memory/project_resolver.py` | Remove global `cloud_mode` concern |
+| `src/basic_memory/mcp/tools/*.py` | Mechanical swap to `get_project_client()` |
+| `src/basic_memory/sync/coordinator.py` | Filter to local-mode projects |
+| `src/basic_memory/mcp/container.py` | Update should_sync logic |
+| `src/basic_memory/cli/commands/cloud/core_commands.py` | `set-key`, `create-key` commands |
+| `src/basic_memory/cli/commands/project.py` | `set-cloud`, `set-local` commands |
+| `src/basic_memory/runtime.py` | Drop cloud_mode from global resolution |
+
+## Config Example

 ```json
 {
  "projects": {
-    "main": {
-      "path": "/Users/me/basic-memory",
-      "mode": "local",
-      "local_sync_path": null,
-      "bisync_initialized": false,
-      "last_sync": null
-    },
-    "specs": {
-      "path": "specs",
-      "mode": "cloud",
-      "local_sync_path": "/Users/me/dev/specs",
-      "bisync_initialized": true,
-      "last_sync": "2026-02-06T17:36:38.544153"
-    }
+    "personal": {"path": "/Users/me/notes", "mode": "local"},
+    "research": {"path": "/Users/me/research", "mode": "cloud"}
  },
-  "default_project": "main",
  "cloud_api_key": "bmc_abc123...",
-  "cloud_host": "https://cloud.basicmemory.com"
+  "cloud_host": "https://cloud.basicmemory.com",
+  "default_project": "personal"
 }
 ```

-## Cloud Commands Are Auth-Only
+## Edge Cases

-`bm cloud login`, `bm cloud logout`, and `bm cloud status` manage authentication state.
+| Case | Handling |
+|------|----------|
+| No API key + cloud project | `get_client()` raises error: "Run `bm cloud set-key` first" |
+| Old config format loaded | `model_validator` auto-migrates `Dict[str,str]` to new format |
+| Default project is cloud | Works — resolver returns name, routing uses API key |
+| Global `cloud_mode=true` (legacy) | Deprecated fallback still works via OAuth |
+| Factory-injected client (cloud app) | Factory takes priority, unaffected |
+| `--local` CLI flag on cloud project | Force-local override still works |

- `bm cloud login`
-  - performs OAuth device flow
-  - stores/refreshes token material
-  - may verify cloud health/subscription
-  - does not change routing defaults
- `bm cloud logout`
-  - removes stored OAuth session tokens
-  - does not change routing defaults
- `bm cloud status`
-  - reports auth state (API key, OAuth token validity)
-  - runs health checks only when credentials are available
+## Verification

-## MCP Transport Routing
-
-### Stdio (default)
-
-`bm mcp --transport stdio` uses natural per-project routing.
-
- Local-mode projects route through the in-process ASGI transport.
- Cloud-mode projects route to the cloud proxy with Bearer auth (API key).
- No explicit routing env vars are injected by the CLI command.
- Externally-set env vars are honored (e.g. `BASIC_MEMORY_FORCE_CLOUD=true` for cloud deployments).
- Users who need all projects forced local can set `BASIC_MEMORY_FORCE_LOCAL=true` externally.
-
-### HTTP and SSE Transports
-
-`bm mcp --transport streamable-http` and `bm mcp --transport sse` always route locally.
-
-These transports set explicit local routing (`BASIC_MEMORY_FORCE_LOCAL=true` and
-`BASIC_MEMORY_EXPLICIT_ROUTING=true`) before starting the server. This prevents cloud
-routing regardless of project mode, since HTTP/SSE serve as local API endpoints.
-
-## Project List UX for Dual Presence
-
-Projects may exist in both local and cloud. `bm project list` should display that clearly in one row per logical
-project identity, with explicit source/target signals.
-
-Recommended display contract:
-
-1. Keep one row per normalized project name/permalink.
-2. Show both local and cloud presence as separate columns/indicators.
-3. Show an explicit `MCP (stdio)` target column that always resolves to `local`.
-4. Keep CLI route semantics explicit:
-   - no flags: default local for non-project commands
-   - `--cloud`: force cloud
-   - `--local`: force local
-
-## Project LS Targeting
-
-`bm project ls` should clearly identify which project instance is being listed.
-
-Targeting rules:
-
-1. No routing flags: list local project files.
-2. `--cloud`: list cloud project files.
-3. `--local`: list local project files (explicit override).
-4. Output should label the active target (`LOCAL` or `CLOUD`) in heading or status line.
-
-## Runtime Mode
-
-Runtime mode is no longer a cloud/local routing switch for local app flows.
-
- `resolve_runtime_mode(is_test_env)` resolves to:
-  - `TEST` when running in test environment
-  - `LOCAL` otherwise
- `RuntimeMode.CLOUD` may remain for compatibility with existing tests/call sites but is not selected by normal local
-  runtime resolution.
-
-## Verification Checklist
-
-1. Loading config with legacy `cloud_mode` succeeds.
-2. Saving config strips legacy `cloud_mode`.
-3. `--local/--cloud` always override per-project mode for that command.
-4. No-project + no-flags commands route local by default.
-5. `bm cloud login/logout` do not toggle routing behavior.
-6. `bm mcp` stdio routes per-project mode; HTTP/SSE remain local-forced.
-7. `bm project list` communicates dual local/cloud presence without ambiguity.
-8. `bm project ls` output identifies route target explicitly.
+1. `just fast-check` — lint/format/typecheck + impacted tests
+2. `just test` — full suite (SQLite + Postgres)
+3. Manual: `bm cloud set-key bmc_...`, `bm project set-cloud test`, run MCP tools against it
+4. Manual: verify local projects work unchanged
+5. Manual: `bm project list` shows mode column
@@ -427,8 +427,6 @@ await write_note(
 )
 ```

-> **Important**: `write_note` errors if the note already exists. Use `edit_note` for incremental changes, or pass `overwrite=True` to replace.
-
 **Well-structured note**:

 ```python
@@ -762,9 +760,6 @@ notes = await read_note(
    identifier="memory://specs/*",
    project="main"
 )
-
-# Cross-project URL (auto-routes to the correct project)
-note = await read_note(identifier="memory://research/specs/api-design")
 ```

 ```python
@@ -1065,19 +1060,16 @@ results = await search_notes(
    project="main"
 )

-# Metadata-only search (no query needed)
-results = await search_notes(
-    metadata_filters={"type": "spec", "status": "in-progress"},
+# Metadata-only search
+results = await search_by_metadata(
+    filters={"type": "spec", "status": "in-progress"},
    project="main"
 )
 ```

 ### Search Types

-Available types: `"text"`, `"title"`, `"permalink"`, `"vector"`/`"semantic"`, `"hybrid"`.
-Default is `"hybrid"` when semantic search is enabled, `"text"` otherwise.
-
-**Text search**:
+**Text search (default)**:

 ```python
 # Full-text search across all content
@@ -1088,52 +1080,17 @@ results = await search_notes(
 )
 ```

-**Title and permalink search**:
-
-```python
-# Search by title only
-results = await search_notes(query="API Design", search_type="title", project="main")
-
-# Search by permalink
-results = await search_notes(query="specs/api-design", search_type="permalink", project="main")
-```
-
-**Semantic/vector search**:
+**Semantic search**:

 ```python
 # Semantic/vector search (if enabled)
-results = await search_notes(
-    query="user login security",
-    search_type="semantic",  # or "vector"
-    project="main"
-)
-
-# Override similarity threshold
 results = await search_notes(
    query="user login security",
    search_type="semantic",
-    min_similarity=0.5,
    project="main"
 )
 ```

-**Hybrid search** (combines text + semantic):
-
-```python
-results = await search_notes(
-    query="authentication best practices",
-    search_type="hybrid",
-    project="main"
-)
-```
-
-**Tag shorthand in query**:
-
-```python
-# Use tag: prefix as shorthand
-results = await search_notes(query="tag:security", project="main")
-```
-
 ### Search Response

 **Result structure**:
@@ -2204,31 +2161,6 @@ active_project = projects[0]["name"]
 results = await search_notes(query="test", project=active_project)
 ```

-### Note Already Exists
-
-**Error**: `write_note` called for a note that already exists
-
-**Solution**:
-
-```python
-# Preferred: use edit_note for incremental updates
-await edit_note(
-    identifier="Existing Topic",
-    operation="append",
-    content="\n- [update] new information",
-    project="main"
-)
-
-# Alternative: replace the entire note
-await write_note(
-    title="Existing Topic",
-    content="# Existing Topic\n...",
-    folder="notes",
-    overwrite=True,
-    project="main"
-)
-```
-
 ### Entity Not Found

 **Error**: Note doesn't exist
@@ -2784,15 +2716,14 @@ await write_note(

 ### Content Management

-**write_note(title, content, folder, tags, note_type, overwrite, project)**
- Create new markdown notes (errors if note already exists unless overwrite=True)
+**write_note(title, content, folder, tags, note_type, project)**
+- Create or update markdown notes
 - Parameters:
  - `title` (required): Note title
  - `content` (required): Markdown content
  - `folder` (required): Destination folder
  - `tags` (optional): List of tags
  - `note_type` (optional): Type of note (stored in frontmatter). Can be "note", "person", "meeting", "guide", etc.
-  - `overwrite` (optional): Set to True to replace an existing note (default: error if exists)
  - `project` (required unless default_project_mode): Target project
 - Returns: Created/updated entity with permalink
 - Example:
@@ -2959,20 +2890,19 @@ contents = await list_directory(

 ### Search & Discovery

-**search_notes(query, page, page_size, search_type, types, entity_types, after_date, metadata_filters, tags, status, min_similarity, project)**
+**search_notes(query, page, page_size, search_type, types, entity_types, after_date, metadata_filters, tags, status, project)**
 - Search across knowledge base
 - Parameters:
-  - `query` (optional): Search query (not required for filter-only searches)
+  - `query` (required): Search query
  - `page` (optional): Page number (default: 1)
  - `page_size` (optional): Results per page (default: 10)
-  - `search_type` (optional): "text", "title", "permalink", "vector"/"semantic", "hybrid" (default: "hybrid" when semantic enabled, "text" otherwise)
+  - `search_type` (optional): "text" or "semantic"
  - `types` (optional): Entity type filter
  - `entity_types` (optional): Observation category filter
  - `after_date` (optional): Date filter (ISO format)
-  - `metadata_filters` (optional): Structured frontmatter filters (dict, supports `$in`, `$gt`, `$gte`, `$lt`, `$lte`, `$between` operators)
-  - `tags` (optional): Frontmatter tags filter (list); also available via `tag:` query shorthand
+  - `metadata_filters` (optional): Structured frontmatter filters (dict)
+  - `tags` (optional): Frontmatter tags filter (list)
  - `status` (optional): Frontmatter status filter (string)
-  - `min_similarity` (optional): Override similarity threshold for vector/hybrid search
  - `project` (required unless default_project_mode): Target project
 - Returns: Matching entities with scores
 - Example:
@@ -2985,11 +2915,18 @@ results = await search_notes(
 )
 ```

-**Metadata-only search (via search_notes)**
- Use `search_notes` with `metadata_filters` and no `query` for metadata-only searches:
+**search_by_metadata(filters, limit, offset, project)**
+- Metadata-only search using structured frontmatter
+- Parameters:
+  - `filters` (required): Dict of field -> value (supports $in, $gt/$gte/$lt/$lte, $between)
+  - `limit` (optional): Max results (default: 20)
+  - `offset` (optional): Pagination offset (default: 0)
+  - `project` (required unless default_project_mode): Target project
+- Returns: Matching entities
+- Example:
 ```python
-results = await search_notes(
-    metadata_filters={"type": "spec", "status": "in-progress"},
+results = await search_by_metadata(
+    filters={"type": "spec", "status": "in-progress"},
    project="main"
 )
 ```
@@ -3041,15 +2978,6 @@ await delete_project(project_name="old-project")
 status = await sync_status(project="main")
 ```

-**list_workspaces()**
- List available workspaces (cloud)
- Parameters: None
- Returns: List of workspaces with metadata
- Example:
-```python
-workspaces = await list_workspaces()
-```
-
 ### Visualization

 **canvas(nodes, edges, title, folder, project)**
@@ -3318,8 +3246,8 @@ await edit_note(
    project="main"
 )

-# When full rewrite is needed, use overwrite=True
-await write_note(title="Note", content="...", folder="notes", overwrite=True)
+# Avoid: Complete rewrite
+# (unless necessary for major restructuring)
 ```

 ### 14. Tagging Strategy
@@ -5,7 +5,7 @@ The Basic Memory Cloud CLI provides seamless integration between local and cloud
 ## Overview

 The cloud CLI enables you to:
- **Authenticate cloud access** - OAuth/API key credentials are stored locally for cloud operations
+- **Toggle cloud mode** - All regular `bm` commands work with cloud when enabled
 - **Project-scoped sync** - Each project independently manages its sync configuration
 - **Explicit operations** - Sync only what you want, when you want
 - **Bidirectional sync** - Keep local and cloud in sync with rclone bisync
@@ -40,7 +40,7 @@ If you attempt to log in without an active subscription, you'll receive a "Subsc

 1. **Cloud-only** - Project exists on cloud, no local copy
 2. **Cloud + Local (synced)** - Project has a local working directory that syncs
-3. **Local-only** - Project exists locally and is not routed to cloud
+3. **Local-only** - Project exists locally (when cloud mode is disabled)

 **Example:**

@@ -50,9 +50,9 @@ If you attempt to log in without an active subscription, you'll receive a "Subsc
 # - work: wants local sync at ~/work-notes
 # - temp: cloud-only, no local sync needed

-bm project add research --cloud --local-path ~/Documents/research
-bm project add work --cloud --local-path ~/work-notes
-bm project add temp --cloud  # No local sync
+bm project add research --local-path ~/Documents/research
+bm project add work --local-path ~/work-notes
+bm project add temp  # No local sync

 # Now you can sync individually (after initial --resync):
 bm project bisync --name research
@@ -68,9 +68,9 @@ bm project bisync --name work

 ## Quick Start

-### 1. Authenticate Cloud Access
+### 1. Enable Cloud Mode

-Authenticate with cloud:
+Authenticate and enable cloud mode:

 ```bash
 bm cloud login
@@ -78,11 +78,11 @@ bm cloud login

 **What this does:**
 1. Opens browser to Basic Memory Cloud authentication page
-2. Stores authentication tokens in `~/.basic-memory/basic-memory-cloud.json`
-3. Validates your subscription status
-4. Leaves routing behavior unchanged (auth only)
+2. Stores authentication token in `~/.basic-memory/auth/token`
+3. **Enables cloud mode** - all CLI commands now work against cloud
+4. Validates your subscription status

-**Result:** Cloud credentials are available for cloud-routed commands.
+**Result:** All `bm project`, `bm tools` commands now work with cloud.
 Apply OSS discount code `{{OSS_DISCOUNT_CODE}}` during checkout to receive 20% off for 3 months.

 ### 2. Set Up Sync
@@ -107,10 +107,10 @@ Create projects with optional local sync paths:

 ```bash
 # Create cloud project without local sync
-bm project add research --cloud
+bm project add research

 # Create cloud project WITH local sync
-bm project add research --cloud --local-path ~/Documents/research
+bm project add research --local-path ~/Documents/research

 # Or configure sync for existing project
 bm project sync-setup research ~/Documents/research
@@ -120,7 +120,7 @@ bm project sync-setup research ~/Documents/research

 When you add a project with `--local-path`:
 1. Project created on cloud at `/app/data/research`
-2. Local path stored in config for that project (`local_sync_path`)
+2. Local path stored in config: `cloud_projects.research.local_path = "~/Documents/research"`
 3. Local directory created if it doesn't exist
 4. Bisync state directory created at `~/.basic-memory/bisync-state/research/`

@@ -182,8 +182,7 @@ bm cloud status
 ```

 You should see:
- `OAuth: token valid` (or missing/expired)
- `API Key: configured` (or not set)
+- `Mode: Cloud (enabled)`
 - `Cloud instance is healthy`
 - Instructions for project sync commands

@@ -191,16 +190,16 @@ You should see:

 ### Understanding Project Commands

-**Key concept:** Use regular `bm project` commands (not `bm cloud project`).
+**Key concept:** When cloud mode is enabled, use regular `bm project` commands (not `bm cloud project`).

 ```bash
-# Local route
-bm project list --local
-bm project add research ~/Documents/research
+# In cloud mode:
+bm project list              # Lists cloud projects
+bm project add research      # Creates cloud project

-# Cloud route
-bm project list --cloud
-bm project add research --cloud
+# In local mode:
+bm project list              # Lists local projects
+bm project add research ~/Documents/research  # Creates local project
 ```

 ### Creating Projects
@@ -208,7 +207,7 @@ bm project add research --cloud
 **Use case 1: Cloud-only project (no local sync)**

 ```bash
-bm project add temp-notes --cloud
+bm project add temp-notes
 ```

 **What this does:**
@@ -221,7 +220,7 @@ bm project add temp-notes --cloud
 **Use case 2: Cloud project with local sync**

 ```bash
-bm project add research --cloud --local-path ~/Documents/research
+bm project add research --local-path ~/Documents/research
 ```

 **What this does:**
@@ -255,35 +254,11 @@ bm project list
 ```

 **What you see:**
- Local projects always
- Cloud projects when credentials are available
+- All projects in cloud (when cloud mode enabled)
 - Default project marked
- Route-related metadata (for example, local/cloud presence and sync info)
+- Project paths shown

-Example shape (single row for dual-presence projects):
-
-```text
-Name   Path            Local Path           Cloud Path   CLI Default   MCP (stdio)
-main   /basic-memory   ~/basic-memory       /basic-memory   local       local
-specs  /specs          ~/dev/specs          /specs          cloud       local
-```
-
-### When a Project Exists in Both Local and Cloud
-
-Use routing flags to disambiguate command targets:
-
-```bash
-# Force local target for this command
-bm project info main --local
-bm project ls --name main --local
-
-# Force cloud target for this command
-bm project info main --cloud
-bm project ls --name main --cloud
-```
-
-Default behavior for no-project, no-flag commands is local.
-For MCP stdio, routing is always local.
+**Future:** Will show sync status (synced/not synced, last sync time).

 ## File Synchronization

@@ -391,28 +366,24 @@ bm project bisync --name research --dry-run

 **Result:** Safe preview of sync operations.

-### Advanced: List Project Files by Route
+### Advanced: List Remote Files

-**Use case:** Inspect local or cloud project files explicitly.
+**Use case:** See what files exist on cloud without syncing.

 ```bash
-# List local project files (default target when no route flag is given)
+# List all files in project
 bm project ls --name research
-bm project ls --name research --local
-
-# List cloud project files
-bm project ls --name research --cloud

 # List files in subdirectory
-bm project ls --name research --cloud --path subfolder
+bm project ls --name research --path subfolder
 ```

 **What happens:**
-1. Resolves route from flags (or local default when no route is given)
-2. Lists files for the chosen project instance
+1. Connects to cloud via rclone
+2. Lists files in remote project path
 3. No files transferred

-**Result:** See file listing for the target route.
+**Result:** See cloud file listing.

 ## Multiple Projects

@@ -422,9 +393,9 @@ bm project ls --name research --cloud --path subfolder

 ```bash
 # Setup multiple projects
-bm project add research --cloud --local-path ~/Documents/research
-bm project add work --cloud --local-path ~/work-notes
-bm project add personal --cloud --local-path ~/personal
+bm project add research --local-path ~/Documents/research
+bm project add work --local-path ~/work-notes
+bm project add personal --local-path ~/personal

 # Establish baselines
 bm project bisync --name research --resync
@@ -449,12 +420,12 @@ bm project bisync --all  # Coming soon

 ```bash
 # Projects with sync
-bm project add research --cloud --local-path ~/Documents/research
-bm project add work --cloud --local-path ~/work
+bm project add research --local-path ~/Documents/research
+bm project add work --local-path ~/work

 # Cloud-only projects
-bm project add archive --cloud
-bm project add temp-notes --cloud
+bm project add archive
+bm project add temp-notes

 # Sync only the configured ones
 bm project bisync --name research
@@ -467,7 +438,7 @@ bm project bisync --name work

 ## Per-Project Cloud Routing (API Key)

-Route individual projects through cloud using an API key. This lets you keep some projects local while others route through cloud.
+Instead of toggling global cloud mode, you can route individual projects through the cloud using an API key. This lets you keep some projects local while others route through the cloud.

 ### Setting Up API Key Auth

@@ -514,16 +485,10 @@ When an MCP tool or CLI command runs for a cloud-mode project:

 **Routing priority** (highest to lowest):
 1. Factory injection (cloud app, tests)
-2. Explicit route override (`--local` / `--cloud`)
+2. `BASIC_MEMORY_FORCE_LOCAL` env var
 3. Per-project cloud mode (API key)
-4. Local ASGI transport (default)
-
-Route override environment variables:
- `BASIC_MEMORY_FORCE_LOCAL=true`
- `BASIC_MEMORY_FORCE_CLOUD=true`
- `BASIC_MEMORY_EXPLICIT_ROUTING=true`
-
-No-project, no-flag CLI commands default to local routing.
+4. Global cloud mode (OAuth — deprecated fallback)
+5. Local ASGI transport (default)

 ### Configuration Example

@@ -548,18 +513,20 @@ In this example, `personal` stays local and `research` routes through cloud. Pro

 Cloud-mode projects are automatically skipped during local file sync (background sync and file watching). Their files live on the cloud instance, not locally.

-## OAuth Logout
+## Disable Cloud Mode
+
+Return to local mode (global):

 ```bash
 bm cloud logout
 ```

 **What this does:**
-1. Removes stored OAuth token(s)
-2. Does not change per-project route configuration
-3. Does not change command routing defaults
+1. Disables global cloud mode in config
+2. All commands now work locally (unless individual projects are set to cloud via `set-cloud`)
+3. Auth token remains (can re-enable with login)

-**Result:** OAuth session is cleared. API-key-based routing still works if `cloud_api_key` is configured.
+**Result:** All `bm` commands work with local projects again. Per-project cloud routing via API key continues to work independently of global cloud mode.

 ## Filter Configuration

@@ -766,12 +733,12 @@ If instance is down, wait a few minutes and retry.

 ## Command Reference

-### Cloud Authentication
+### Cloud Mode Management

 ```bash
-bm cloud login              # Authenticate and store OAuth credentials
-bm cloud logout             # Remove stored OAuth credentials
-bm cloud status             # Check auth state and instance health
+bm cloud login              # Authenticate and enable global cloud mode (OAuth)
+bm cloud logout             # Disable global cloud mode
+bm cloud status             # Check cloud mode and instance health
 bm cloud promo --off        # Disable CLI cloud promo notices
 ```

@@ -790,11 +757,12 @@ bm cloud setup              # Install rclone and configure credentials

 ### Project Management

+When cloud mode is enabled:
+
 ```bash
-bm project list --local                   # Local project list
-bm project list --cloud                   # Cloud project list
-bm project add <name> --cloud             # Create cloud project (no sync)
-bm project add <name> --cloud --local-path <path> # Create with local sync
+bm project list                           # List projects with mode column
+bm project add <name>                     # Create cloud project (no sync)
+bm project add <name> --local-path <path> # Create with local sync
 bm project sync-setup <name> <path>       # Add sync to existing project
 bm project rm <name>                      # Delete project
 ```
@@ -824,20 +792,18 @@ bm project bisync --name <project> --verbose
 bm project check --name <project>
 bm project check --name <project> --one-way

-# List project files by route
-bm project ls --name <project>          # Default target: local
-bm project ls --name <project> --local
-bm project ls --name <project> --cloud
-bm project ls --name <project> --cloud --path <subpath>
+# List remote files
+bm project ls --name <project>
+bm project ls --name <project> --path <subpath>
 ```

 ## Summary

 **Basic Memory Cloud uses project-scoped sync:**

-1. **Authenticate cloud access** - `bm cloud login`
+1. **Enable cloud mode** - `bm cloud login`
 2. **Install rclone** - `bm cloud setup`
-3. **Add projects with sync** - `bm project add research --cloud --local-path ~/Documents/research`
+3. **Add projects with sync** - `bm project add research --local-path ~/Documents/research`
 4. **Preview first sync** - `bm project bisync --name research --resync --dry-run`
 5. **Establish baseline** - `bm project bisync --name research --resync`
 6. **Daily workflow** - `bm project bisync --name research`
@@ -1,499 +0,0 @@
-# Logfire Instrumentation Strategy
-
-## Why
-
-We want Logfire in Basic Memory for two specific use cases:
-
-1. Local development and performance investigation
-2. Cloud deployments where Basic Memory runs inside Basic Memory Cloud
-
-This instrumentation must be:
-
- Disabled by default
- Useful when enabled
- Safe for local-first users
- Searchable in Logfire over time
-
-The previous integration added telemetry, but it leaned too much on generic framework instrumentation. That created noisy spans with weak names and made the trace view harder to navigate. This strategy favors manual instrumentation around Basic Memory's real units of work.
-
-## Core Principles
-
-### 1. Default-off
-
-Basic Memory should ship with Logfire disabled unless the operator explicitly enables it.
-
-That means:
-
- no required token for normal local usage
- no surprise outbound telemetry
- no behavior change for existing users
-
-### 2. Manual spans over automatic framework spans
-
-We should not rely on broad auto-instrumentation for FastAPI, MCP, SQLAlchemy, or HTTP as the primary experience.
-
-Why:
-
- auto-generated span names are often generic
- routes and middleware produce too many low-signal spans
- it becomes harder to answer product questions like "why was `write_note` slow?" or "where did sync time go?"
-
-The preferred model is:
-
- one meaningful root span per high-level operation
- a small number of child spans for important phases
- optional targeted instrumentation only where it adds clear value
-
-### 3. Logs must live inside traces
-
-Basic Memory already uses `loguru` pervasively. The Logfire integration should preserve that and make those logs visible inside the active trace/span context.
-
-If traces exist but the logs are detached from them, the integration is not doing its job.
-
-### 4. Stable names, selective attributes
-
-Span names should describe the operation class, not the specific input.
-
-Good:
-
- `mcp.tool.write_note`
- `sync.project.scan`
- `search.execute`
- `routing.resolve_project`
-
-Bad:
-
- `Searching for "foo bar baz"`
- `POST /v2/projects/123/search/`
- `write note to /specs/api.md`
-
-Dynamic values belong in attributes, not in the span name.
-
-## What We Should Not Do
-
-### Avoid broad FastAPI auto-instrumentation
-
-We should not turn on `instrument_fastapi()` and treat that as the main telemetry story.
-
-It may still be useful in narrowly scoped debugging, but it should not define the production trace shape. The meaningful root spans should come from Basic Memory's own entrypoints and service boundaries.
-
-### Avoid per-file spans by default
-
-`sync` can process many files. A span per file will explode trace cardinality and make performance views noisy.
-
-Default behavior should be:
-
- one span for the project sync
- child spans for scan, move handling, delete handling, markdown sync batch, relation resolution, embedding sync, watermark update
- per-file spans only for failures or very slow outliers
-
-### Avoid high-cardinality attributes on every span
-
-Do not attach large or highly variable values everywhere:
-
- raw note content
- file bodies
- long search text
- arbitrary metadata blobs
- unique IDs that make every span shape distinct
-
-Prefer compact, queryable attributes:
-
- `project_name`
- `workspace_id`
- `route_mode`
- `scan_type`
- `file_count`
- `result_count`
- `search_type`
- `retrieval_mode`
- `duration_ms`
-
-## Proposed Architecture
-
-Add a dedicated telemetry module in core Basic Memory, separate from logging setup.
-
-Suggested shape:
-
-```python
-# basic_memory/telemetry.py
-
-def configure_telemetry(service_name: str, *, enable_logfire: bool) -> None: ...
-def telemetry_enabled() -> bool: ...
-def span(name: str, **attrs): ...
-def bind_telemetry_context(**attrs): ...
-```
-
-This module should:
-
- configure Logfire only when explicitly enabled
- set up the Logfire `loguru` handler
- expose lightweight helpers so application code does not import `logfire` directly everywhere
- degrade cleanly to no-op behavior when disabled
-
-This keeps the rest of the codebase readable and makes it easy to reason about what telemetry is doing.
-
-## Logging Integration Strategy
-
-### Goal
-
-When a span is active, logs emitted through `loguru` during that operation should show up in the same trace.
-
-### Preferred design
-
-1. Configure Logfire once in the telemetry bootstrap
-2. Add the Logfire `loguru` handler to the existing `loguru` configuration
-3. At operation boundaries, bind stable contextual fields with `loguru`
-4. Let logs emitted inside the span inherit the active trace context
-
-### Context to bind
-
-Bind only the fields that help correlate work across the system:
-
- `service_name`
- `entrypoint`
- `project_name`
- `workspace_id`
- `route_mode`
- `tool_name`
- `command_name`
-
-This binding should happen at the root of an operation, not deep in leaf functions.
-
-### Important nuance
-
-We should not try to encode the entire trace model into logger extras. The logger context should be a human-meaningful slice of the active operation. Trace linkage comes from the active Logfire/OpenTelemetry context; logger extras are there to improve searchability and readability.
-
-## Span Model
-
-### Root spans
-
-Each user-visible or system-visible operation should get one root span.
-
-Examples:
-
- `cli.command.status`
- `cli.command.project_sync`
- `api.request.search`
- `mcp.tool.write_note`
- `mcp.tool.read_note`
- `mcp.tool.search_notes`
- `sync.project.run`
- `db.semantic_backfill`
-
-### Child spans
-
-Child spans should represent real phases whose duration we care about.
-
-Examples:
-
- `routing.client_session`
- `routing.resolve_project`
- `routing.resolve_workspace`
- `api.search.execute`
- `sync.project.scan`
- `sync.project.detect_moves`
- `sync.project.apply_changes`
- `sync.project.resolve_relations`
- `sync.project.sync_embeddings`
- `sync.file.markdown`
- `sync.file.regular`
- `search.execute`
- `search.relaxed_fts_retry`
- `db.init`
- `db.migrate`
-
-### Span naming rules
-
- Use dot-separated names
- Start with subsystem
- Keep the verb at the end
- Keep names stable across runs
- Never include request-specific text in the span name
-
-## Attribute Taxonomy
-
-### Required attributes on root spans
-
-Every root span should have a small common set:
-
- `service_name`
- `entrypoint`
- `project_name` when applicable
- `workspace_id` when applicable
- `route_mode` with values like `local_asgi`, `cloud_proxy`, `factory`
-
-### Operation-specific attributes
-
-Examples:
-
-For search:
-
- `search_type`
- `retrieval_mode`
- `page`
- `page_size`
- `result_count`
- `fallback_used`
-
-For sync:
-
- `scan_type`
- `force_full`
- `new_count`
- `modified_count`
- `deleted_count`
- `move_count`
- `skipped_count`
- `embeddings_enabled`
-
-For note operations:
-
- `tool_name`
- `note_type`
- `directory`
- `overwrite`
- `output_format`
-
-### Attributes to avoid by default
-
- full `query.text`
- full note titles if they create privacy or cardinality issues
- file content
- raw frontmatter
- raw HTTP bodies
-
-If we need richer payloads for a local debugging session, that should be an explicit temporary mode, not the default telemetry shape.
-
-## Instrumentation Plan By Layer
-
-### 1. Entrypoints
-
-Instrument these first:
-
- `cli.app` callback and major commands
- API lifespan and selected routers
- MCP server lifespan
- MCP tool entrypoints
-
-Why:
-
- this establishes clean root spans
- it gives us trace boundaries that match how users think about the product
-
-### 2. Routing and context resolution
-
-Instrument:
-
- client routing decisions
- workspace resolution
- project resolution
- default-project fallback
-
-Why:
-
- Basic Memory has local/cloud/per-project routing logic
- when something is slow or surprising, we need to know which path was taken
-
-### 3. Sync and indexing
-
-This is the highest-value area to instrument deeply.
-
-Instrument:
-
- sync root
- scan strategy decision
- filesystem scan
- move detection
- delete handling
- markdown sync phase
- relation resolution
- vector embedding sync
- scan watermark update
-
-Why:
-
- this is where performance work will happen
- cloud and local both benefit from this visibility
-
-### 4. Search
-
-Instrument:
-
- search execution
- retrieval mode
- relaxed FTS fallback
- result shaping
-
-Why:
-
- search is user-facing and latency-sensitive
- hybrid/vector/FTS paths need to be distinguishable
-
-### 5. Database and initialization
-
-Instrument selectively:
-
- DB init
- migrations
- semantic backfill
- connection mode selection
-
-Avoid full automatic SQL span firehose by default.
-
-## Recommended Rollout Phases
-
-## Task List
-
- [x] Phase 1: Bootstrap and config gating
- [x] Phase 2: Root spans for entrypoints and primary operations
- [x] Phase 3: Child spans for sync, search, and routing
- [x] Phase 4: Failure-focused detail and final verification
- [x] Phase 5: Loguru context binding and scoped context inheritance
-
-## Recommended Rollout Phases
-
-### Phase 1: Bootstrap and config gating
-
-Add:
-
- telemetry bootstrap module
- config/env gating
- `loguru` + Logfire handler integration
-
-This gives immediate value with low noise.
-
-### Phase 2: Root spans for entrypoints and primary operations
-
-Add:
-
- root spans for CLI, API, MCP, and main MCP tools
- stable root attributes for project, workspace, route mode, and operation type
-
-This gives us clean top-level traces that match how users think about the product.
-
-### Phase 3: Child spans for sync, search, and routing
-
-Add child spans to:
-
- sync
- search
- routing
-
-This is the main performance-investigation layer.
-
-### Phase 4: Failure-focused detail
-
-Add selective deeper spans/log enrichment for:
-
- sync failures
- relation resolution failures
- slow file operations
- cloud routing/auth failures
-
-This keeps normal traces clean while improving debuggability.
-
-### Phase 5: Loguru context binding and scoped context inheritance
-
-Add:
-
- context-local telemetry state in `basic_memory.telemetry`
- a shared `scope(...)` helper that opens a span and binds stable logger context together
- context inheritance for routing, sync, and search so downstream `loguru` logs carry the active operation fields
-
-This makes the trace view and the log stream tell the same story without forcing logger rewrites across the codebase.
-
-## Local Dev Playbook
-
-The fastest way to sanity-check the current trace shape is:
-
-```bash
-LOGFIRE_TOKEN=lf_... just telemetry-smoke
-```
-
-What this does:
-
- creates an isolated temp home, config dir, and project path
- enables Logfire for the run
- automatically exports to Logfire when `LOGFIRE_TOKEN` is present
- defaults `BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED=false` so the smoke run stays fast and trace-friendly
- disables promo telemetry so the trace is about Basic Memory work, not analytics noise
- runs a small CLI workflow:
-  - `project add`
-  - `tool write-note`
-  - `tool read-note`
-  - `tool edit-note`
-  - `tool build-context`
-  - `tool search-notes`
-  - `doctor`
-
-If you want to exercise the instrumentation without exporting anything upstream:
-
-```bash
-BASIC_MEMORY_LOGFIRE_SEND_TO_LOGFIRE=false just telemetry-smoke
-```
-
-If you want the smoke run to include vector or hybrid retrieval spans too:
-
-```bash
-LOGFIRE_TOKEN=lf_... BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED=true just telemetry-smoke
-```
-
-The recipe sets `BASIC_MEMORY_LOGFIRE_ENVIRONMENT=telemetry-smoke` by default so these traces are easy to isolate in Logfire. Override it if you want the smoke traces grouped under a different environment name.
-
-### What to look for
-
-You should see a small set of comparable root spans rather than a framework-generated span forest:
-
- `cli.command.project`
- `cli.command.tool`
- `mcp.tool.write_note`
- `mcp.tool.read_note`
- `mcp.tool.edit_note`
- `mcp.tool.build_context`
- `mcp.tool.search_notes`
- `sync.project.run`
-
-You should also see correlated logs under those traces with stable fields like:
-
- `project_name`
- `route_mode`
- `tool_name`
- `entrypoint`
-
-### Expected nuance
-
-`doctor` creates its own temporary project on purpose. That means the sync trace will usually show a different project name than the `telemetry-smoke` write/search traces. That is fine for smoke testing because the goal is to confirm:
-
- root span names are meaningful
- scoped logs stay attached to the active trace
- routing, tool, search, and sync phases are easy to distinguish
-
-## Validation Checklist
-
-We should consider the integration successful when the following are true:
-
-1. With telemetry disabled, Basic Memory behaves exactly as it does today.
-2. With telemetry enabled, one user action produces one obvious root span.
-3. Logs emitted during that action are visible inside the same trace.
-4. A search in Logfire for `mcp.tool.write_note` or `sync.project.run` returns comparable spans across runs.
-5. Trace views show phase timing clearly without drowning in framework noise.
-6. Sensitive payloads are not captured by default.
-
-## Immediate Implementation Direction
-
-When we start coding, the first pass should be:
-
-1. Add `basic_memory.telemetry`
-2. Add config/env switches for `enabled`, `send_to_logfire`, and service name
-3. Wire telemetry bootstrap into CLI, API, and MCP entrypoints
-4. Configure `loguru` to emit to both existing sinks and the Logfire handler when enabled
-5. Add manual root spans around:
-   - CLI commands
-   - API request handlers we care about
-   - MCP tool entrypoints
-   - sync root
-   - search root
-6. Add child spans to the sync and routing phases only after the root span model feels clean
-
-That gives us a strong foundation without repeating the earlier "turn on instrumentation everywhere" approach.
@@ -83,26 +83,18 @@ Manual check:

 ---

-### 2) Text / JSON Output Modes
+### 2) ASCII / ANSI TUI Output

 Tools:
- `search_notes(output_format="text" | "json")`
- `read_note(output_format="text" | "json")`
- `write_note(output_format="text" | "json")`
- `edit_note(output_format="text" | "json")`
- `recent_activity(output_format="text" | "json")`
- `list_memory_projects(output_format="text" | "json")`
- `create_memory_project(output_format="text" | "json")`
- `delete_note(output_format="text" | "json")`
- `move_note(output_format="text" | "json")`
- `build_context(output_format="json" | "text")`
+- `search_notes(output_format="ascii" | "ansi")`
+- `read_note(output_format="ascii" | "ansi")`

 Expect:
- `text` mode preserves existing human-readable responses.
- `json` mode returns structured dict/list payloads for machine-readable clients.
+- ASCII table for search, header + content preview for note.
+- ANSI variants include color escape codes.

 Automated:
- `uv run pytest test-int/mcp/test_output_format_json_integration.py`
+- `uv run pytest test-int/mcp/test_output_format_ascii_integration.py`

 ---

@@ -133,6 +125,6 @@ Fill in after running:

 - Tool‑UI (React): __
 - MCP‑UI SDK (embedded): __
- Text/JSON modes: __
+- ASCII/ANSI: __

 Decision + rationale: __
@@ -1,260 +0,0 @@
-# Metadata Search Reference
-
-Basic Memory automatically indexes custom frontmatter fields so you can query them with structured filters. Any YAML key in a note's frontmatter beyond the standard set (`title`, `type`, `tags`, `permalink`, `schema`) is stored as `entity_metadata` and becomes searchable.
-
-## Querying with `search_notes`
-
-`search_notes` is the single search tool for all queries — text, metadata filters, or both. The `query` parameter is optional, so you can use metadata filters alone without passing an empty string.
-
-## Filter Syntax
-
-Filters are a JSON dictionary where each key targets a frontmatter field and the value specifies the match condition. Multiple keys combine with **AND** logic — every filter must match.
-
-### Equality
-
-Match a single value exactly.
-
-```json
-{"status": "active"}
-```
-
-Finds notes whose frontmatter contains `status: active`.
-
-### Array Contains (all)
-
-Pass a list to require **all** listed values to be present in the field.
-
-```json
-{"tags": ["security", "oauth"]}
-```
-
-Finds notes tagged with both `security` and `oauth`.
-
-### `$in` (any of)
-
-Match if the field equals **any** value in the list.
-
-```json
-{"priority": {"$in": ["high", "critical"]}}
-```
-
-### `$gt`, `$gte`, `$lt`, `$lte`
-
-Numeric and text comparisons. Numeric values use numeric comparison; strings use lexicographic comparison.
-
-```json
-{"confidence": {"$gt": 0.7}}
-{"score": {"$lte": 100}}
-```
-
-### `$between`
-
-Range filter (inclusive). Takes a `[min, max]` pair.
-
-```json
-{"score": {"$between": [0.3, 0.8]}}
-```
-
-### Nested Access (dot notation)
-
-Access nested frontmatter values using dots.
-
-```json
-{"schema.version": "2"}
-```
-
-This queries the `version` key inside a `schema` object in frontmatter.
-
-### Summary Table
-
-| Operator | Syntax | Example |
-|----------|--------|---------|
-| Equality | `{"field": "value"}` | `{"status": "active"}` |
-| Array contains (all) | `{"field": ["a", "b"]}` | `{"tags": ["security", "oauth"]}` |
-| `$in` (any of) | `{"field": {"$in": [...]}}` | `{"priority": {"$in": ["high", "critical"]}}` |
-| `$gt` / `$gte` | `{"field": {"$gt": N}}` | `{"confidence": {"$gt": 0.7}}` |
-| `$lt` / `$lte` | `{"field": {"$lt": N}}` | `{"score": {"$lt": 0.5}}` |
-| `$between` | `{"field": {"$between": [min, max]}}` | `{"score": {"$between": [0.3, 0.8]}}` |
-| Nested access | `{"a.b": "value"}` | `{"schema.version": "2"}` |
-
-**Key rules:**
- Filter keys must match `[A-Za-z0-9_-]+` (dots separate nesting levels).
- Each operator dict must contain exactly one operator.
- `$in` and array-contains require non-empty lists.
- `$between` requires exactly two values `[min, max]`.
-
-## MCP Tool — `search_notes`
-
-`search_notes` is the single search tool for text queries, metadata filters, or both. The `query` parameter is optional.
-
-**Relevant parameters:**
-
-| Parameter | Type | Description |
-|-----------|------|-------------|
-| `query` | string (optional) | Text search query. Omit for filter-only searches. |
-| `metadata_filters` | dict | Structured filter dict (see syntax above) |
-| `tags` | list[str] | Convenience shorthand — merged into `metadata_filters["tags"]` |
-| `status` | string | Convenience shorthand — merged into `metadata_filters["status"]` |
-
-**Merging rules:** `tags` and `status` are convenience shortcuts. They are merged into `metadata_filters` using `setdefault` — if the same key already exists in `metadata_filters`, the explicit filter wins.
-
-**Examples:**
-
-```python
-# Text search filtered by metadata
-await search_notes("authentication", metadata_filters={"status": "draft"})
-
-# Filter-only search (no query needed)
-await search_notes(metadata_filters={"type": "spec"})
-
-# Combine text, tags shortcut, and metadata
-await search_notes(
-    "oauth flow",
-    tags=["security"],
-    metadata_filters={"confidence": {"$gt": 0.7}},
-)
-
-# Convenience shortcuts
-await search_notes("planning", status="active")
-await search_notes(tags=["tier1", "alpha"])
-```
-
-## Tag Search Shortcuts
-
-The `tag:` prefix in a search query is a shorthand for tag-based metadata filtering. When `search_notes` receives a query starting with `tag:`, it converts the query into a `tags` filter and clears the text query.
-
-```python
-# These are equivalent:
-await search_notes("tag:tier1")
-await search_notes("", tags=["tier1"])
-
-# Multiple tags (comma or space separated) — all must be present:
-await search_notes("tag:tier1,alpha")
-await search_notes("tag:tier1 alpha")
-```
-
-## CLI Access
-
-The `bm tool search-notes` command exposes metadata filtering via `--meta` and `--filter` flags.
-
-### `--meta` — simple key=value filters
-
-Repeatable flag for equality filters on frontmatter fields.
-
-```bash
-# Single filter
-bm tool search-notes "my query" --meta status=draft
-
-# Multiple filters (AND logic)
-bm tool search-notes "" --meta status=active --meta priority=high
-```
-
-### `--filter` — advanced JSON filters
-
-Pass a full JSON filter dictionary for operator-based queries.
-
-```bash
-# Range filter
-bm tool search-notes "" --filter '{"score": {"$between": [0.3, 0.8]}}'
-
-# $in filter
-bm tool search-notes "" --filter '{"priority": {"$in": ["high", "critical"]}}'
-```
-
-### `--tag` and `--status` — convenience shortcuts
-
-```bash
-bm tool search-notes "query" --tag security --tag oauth
-bm tool search-notes "" --status draft
-```
-
-### Combined example
-
-```bash
-bm tool search-notes "authentication" --tag security --meta status=draft --type spec
-```
-
-## Practical Examples
-
-### Example notes with custom frontmatter
-
-**`specs/auth-design.md`:**
-
-```markdown
---
-title: Auth Design
-type: spec
-tags: [security, oauth]
-status: in-progress
-priority: high
-confidence: 0.85
---
-
-# Auth Design
-
-## Observations
- [decision] Use OAuth 2.1 with PKCE for all client types #security
- [requirement] Token refresh must be transparent to the user
-
-## Relations
- implements [[Security Requirements]]
-```
-
-**`specs/search-redesign.md`:**
-
-```markdown
---
-title: Search Redesign
-type: spec
-tags: [search, performance]
-status: draft
-priority: medium
-confidence: 0.6
---
-
-# Search Redesign
-
-## Observations
- [goal] Sub-100ms search response times #performance
- [approach] Hybrid FTS + vector retrieval
-
-## Relations
- depends_on [[Database Schema]]
-```
-
-### Queries that find them
-
-```python
-# Find all in-progress specs
-await search_notes(metadata_filters={"status": "in-progress", "type": "spec"})
-# → Auth Design
-
-# Find high-confidence specs
-await search_notes(metadata_filters={"confidence": {"$gt": 0.7}})
-# → Auth Design (confidence: 0.85)
-
-# Find specs with priority high or medium
-await search_notes(metadata_filters={"priority": {"$in": ["high", "medium"]}})
-# → Auth Design, Search Redesign
-
-# Find specs in a confidence range
-await search_notes(metadata_filters={"confidence": {"$between": [0.5, 0.9]}})
-# → Auth Design (0.85), Search Redesign (0.6)
-
-# Find notes tagged with security
-await search_notes("tag:security")
-# → Auth Design
-
-# Combined: text search + metadata filter
-await search_notes("OAuth", metadata_filters={"status": "in-progress"})
-# → Auth Design
-```
-
-### CLI equivalents
-
-```bash
-bm tool search-notes "" --meta status=in-progress --type spec
-bm tool search-notes "" --filter '{"confidence": {"$gt": 0.7}}'
-bm tool search-notes "OAuth" --meta status=in-progress
-bm tool search-notes --tag security
-```
@@ -1,344 +0,0 @@
-# Post-v0.18.0 Test Plan and Acceptance Criteria
-
-## Goal
-
-Define a complete validation plan for all major features merged after `v0.18.0`, combining:
-
- Coverage-gap-driven automated tests
- Real MCP server integration tests (no mocks for target flows)
- Manual MCP verification via LLM-driven tool calls
-
-This plan is based on commits in `v0.18.0..HEAD` and the latest `just check` coverage output.
-
-## Scope Window
-
- Start tag: `v0.18.0` (2026-01-28)
- End: current `main`
- Change volume: 12 feature commits + 14 bug-fix commits (+ release chores/hotfixes)
-
-## Execution Strategy
-
-1. Stabilize all feature-level acceptance criteria in automated tests first.
-2. Add black-box MCP integration tests for semantic search + schema (real server startup).
-3. Run manual MCP tool-call verification to confirm real UX and routing behavior.
-4. Re-run full gate: `just check` + targeted integration packs.
-
-## Global Quality Gates
-
- Feature criteria below must all pass.
- No regressions in existing suites.
- Coverage improves in targeted low-coverage feature modules.
- SQLite and Postgres parity for search/semantic features.
-
-## Priority Coverage Gaps (from latest run)
-
-These are the most important post-`v0.18.0` feature modules currently under-covered:
-
- `src/basic_memory/mcp/tools/schema.py` (27%)
- `src/basic_memory/mcp/clients/schema.py` (36%)
- `src/basic_memory/mcp/tools/ui_sdk.py` (43%)
- `src/basic_memory/mcp/tools/search.py` (73%)
- `src/basic_memory/repository/postgres_search_repository.py` (63%)
- `src/basic_memory/mcp/async_client.py` (82%)
- `src/basic_memory/api/v2/routers/schema_router.py` (80%)
-
-## Feature Acceptance Criteria and Test Plan
-
-### 1) Schema System (`c97733d`) — DONE
-
-### Acceptance criteria
-
- `schema_validate`, `schema_infer`, and `schema_diff` produce consistent outcomes across CLI/API/MCP for the same fixture set.
- Strict validation fails deterministically on required-field/type violations.
- Validation warnings are stable and machine-readable in non-strict mode.
- Inference output is deterministic for unchanged input corpus.
- Drift diff output is deterministic and identifies missing/extra/type-mismatch fields correctly.
-
-### Existing coverage anchor points
-
- `tests/schema/*`
- `tests/api/v2/test_schema_router.py`
- `test-int/test_schema/*`
-
-### Gaps to close — DONE
-
- ~~MCP schema tool branches (`src/basic_memory/mcp/tools/schema.py`)~~ — 18 tests in `tests/mcp/test_tool_schema.py`
- ~~MCP schema client behavior (`src/basic_memory/mcp/clients/schema.py`)~~ — `tests/mcp/test_client_schema.py`
- ~~Schema router error-path branches (`src/basic_memory/api/v2/routers/schema_router.py`)~~ — `tests/api/v2/test_schema_router.py`
-
-### Planned additions — DONE
-
- ~~Add MCP tool tests for `schema_validate` strict + non-strict result shapes.~~ **DONE**
- ~~Add MCP tool tests for `schema_infer` with explicit `entity_type` and inferred type fallback.~~ **DONE**
- ~~Add MCP tool tests for `schema_diff` empty-diff and non-empty-diff paths.~~ **DONE**
- ~~Add API tests for schema router invalid payload/edge error handling.~~ **DONE**
- Add integration test that starts MCP server and calls schema tools end-to-end on fixture notes. — deferred to backlog item 4.
-
-### 2) Semantic Search (`0777879`, `1428d18`, `344e651`) — DONE
-
-### Acceptance criteria
-
- `search_type=text|vector|hybrid` returns expected ranked results on canonical semantic corpus.
- Missing semantic dependencies fail fast with actionable install guidance.
- Reindex and provider/model changes produce valid vectors without dimension mismatch.
- SQLite and Postgres produce equivalent behavior for semantic modes on the same dataset.
- Generated-column migration path is valid on SQLite environments in use.
-
-### Existing coverage anchor points
-
- `tests/repository/test_sqlite_vector_search_repository.py`
- `tests/repository/test_postgres_search_repository.py`
- `tests/services/test_semantic_search.py`
- `tests/mcp/test_tool_search.py`
- `test-int/test_search_performance_benchmark.py`
-
-### Gaps to close — DONE
-
- ~~Uncovered Postgres vector/hybrid branches~~ — 20 tests in `tests/repository/test_postgres_search_repository_unit.py` + 5 integration tests in `test-int/semantic/test_semantic_coverage.py`
- ~~MCP search semantic/output branches~~ — expanded `tests/mcp/test_tool_search.py`
-
-### Planned additions — DONE
-
- ~~Expand Postgres repository tests for vector query composition edge cases.~~ **DONE**
- ~~Expand Postgres repository tests for hybrid fusion ranking and pagination branches.~~ **DONE**
- ~~Expand Postgres repository tests for embedding/provider error handling branches.~~ **DONE**
- ~~Expand MCP search tool tests for vector/hybrid output formatting branches.~~ **DONE**
- ~~Expand MCP search tool tests for semantic-disabled and missing-dependency failures.~~ **DONE**
- Add MCP integration tests that start server and execute semantic `search_notes` tool calls. — deferred to backlog item 4.
-
-### Semantic search quality benchmarks (NEW)
-
-Full benchmark suite in `test-int/semantic/` covering 5 backend×provider combinations:
- `sqlite-fts`, `sqlite-fastembed`, `postgres-fts`, `postgres-fastembed`, `postgres-openai`
- Quality metrics: hit@1, recall@5, MRR@10 with per-query timing
- Realistic corpus with cross-topic vocabulary overlap (240 notes, 4 topics)
- Rich CLI viewer: `just semantic-report`
- JSON artifact output: `just test-semantic-report`
-
-Key finding: **FastEmbed (384-d local ONNX) matches or exceeds OpenAI (1536-d) quality at 30x lower latency.** Recommending FastEmbed as default for both local and cloud deployments.
-
-### 3) Per-Project Local/Cloud Routing + API Key Auth (`d84708c`, `ed94877`, `312662f`) — DONE
-
-### Acceptance criteria
-
- Project mode (`local`/`cloud`) persists and displays correctly.
- Routing selects ASGI for local projects and HTTP+Bearer for cloud projects.
- Cloud project without key fails with explicit remediation (`cloud set-key`/`cloud create-key`).
- Resolution precedence is correct (factory > force-local > per-project cloud > global fallback > local).
- Watch/sync only run for local projects.
-
-### Existing coverage anchor points
-
- `tests/mcp/test_async_client_modes.py`
- `tests/cli/test_project_set_cloud_local.py`
- `tests/mcp/test_project_context.py`
- `tests/test_project_resolver.py`
- `tests/sync/test_watch_service_reload.py`
-
-### Gaps to close — DONE
-
- ~~Cloud routing branch gaps in `src/basic_memory/mcp/async_client.py`~~ — expanded `tests/mcp/test_async_client_modes.py`
-
-### Planned additions — DONE
-
- ~~Add branch-focused tests for all unresolved routing branches in `get_client()`.~~ **DONE**
- Add MCP integration scenario with mixed local/cloud project config — deferred to backlog item 4.
-
-### 4) Project-Prefixed Permalinks + Memory URL Routing (`545804f`) — DONE
-
-### Acceptance criteria
-
- Project-prefixed permalinks are generated consistently on create/update/import flows.
- Memory URLs resolve to the correct project/entity even with duplicate note titles.
- `read_note`, `search`, `build_context`, write/edit/move flows preserve project identity correctly.
- Link resolution remains correct for context-aware wikilinks.
-
-### Existing coverage anchor points
-
- `tests/utils/test_permalink_formatting.py`
- `tests/mcp/test_tool_read_note.py`
- `tests/mcp/test_tool_search.py`
- `tests/services/test_context_service.py`
- `test-int/mcp/test_read_note_integration.py`
-
-### Gaps to close
-
- No major coverage alarm in report, but keep as regression-critical due broad impact surface.
-
-### Planned additions — DONE
-
- ~~Add one integration test with colliding titles across two projects and assert URL routing invariants.~~ **DONE** — `test-int/mcp/test_permalink_collision_integration.py` (2 tests: collision across projects + memory:// URL routing with project prefix)
-
-### 5) MCP UI Variants + TUI Output (`8bc03d1`) — DONE
-
-### Acceptance criteria
-
- UI resource variant selection (`tool-ui`, `vanilla`, `mcp-ui`) follows env configuration.
- `search_notes` and `read_note` expose expected resource metadata for UI hosts.
- `ascii`/`ansi` outputs are deterministic and stable for terminal clients.
-
-### Existing coverage anchor points
-
- `tests/mcp/test_tool_contracts.py`
- `test-int/mcp/test_output_format_json_integration.py`
- `test-int/mcp/test_ui_sdk_integration.py`
-
-### Gaps to close — DONE
-
- ~~`src/basic_memory/mcp/tools/ui_sdk.py` branch coverage~~ — `tests/mcp/test_ui_sdk.py`
- ~~`src/basic_memory/mcp/ui/sdk.py` and `src/basic_memory/mcp/ui/templates.py` branch coverage~~ — `tests/mcp/test_ui_templates.py` + `tests/mcp/test_ui_resources.py`
-
-### Planned additions — DONE
-
- ~~Add unit tests for UI SDK metadata generation and template selection branches.~~ **DONE** — 31 tests
- ~~Add integration assertion for variant-specific resource URIs and metadata payload shape.~~ **DONE**
-
-### 6) Watch Command (`8df88e4`) — DONE
-
-### Acceptance criteria
-
- `basic-memory watch` starts and processes create/update/delete events.
- Watch restart/reload path does not duplicate watchers.
- Cloud-mode projects are excluded from active watcher set.
-
-### Existing coverage anchor points
-
- `tests/cli/test_watch.py`
- `tests/sync/test_coordinator.py`
- `tests/sync/test_watch_service_reload.py`
-
-### Planned additions — DONE
-
- ~~Add one stress-style integration test for rapid file changes and watcher stability.~~ **DONE** — `tests/sync/test_watch_service_stress.py` (3 tests: 50-file batch, mixed add/modify/delete batch, rapid modifications to same file)
-
-### 7) CLI JSON Output (`a47c9c0`) — DONE
-
-### Acceptance criteria
-
- `--format json` returns valid JSON with stable keys for success paths.
- Error paths also return JSON-shaped output with correct non-zero exits.
- Default human output remains unchanged.
-
-### Existing coverage anchor points
-
- `tests/cli/test_cli_tool_json_output.py`
- `test-int/cli/test_cli_tool_json_integration.py`
-
-### Planned additions — DONE
-
- ~~Add one failure-path integration test per high-use tool command.~~ **DONE** — `test-int/cli/test_cli_tool_json_failure_integration.py` (4 tests: read-note not found, write-note missing content, write→read roundtrip, recent-activity empty project)
-
-### 8) Search/Edit and Metadata Fixes (`530cbac`, `f1d50c2`, `8838571`, `009e849`) — DONE
-
-### Acceptance criteria
-
- Metadata filters produce consistent results on SQLite and Postgres.
- `tag:` shorthand works alone and with mixed query terms.
- Fast write/edit paths preserve `external_id` and metadata integrity.
-
-### Existing coverage anchor points
-
- `tests/repository/test_metadata_filters.py`
- `tests/repository/test_search_repository.py`
- `tests/services/test_search_service.py`
-
-### Planned additions — DONE
-
- ~~Add Postgres-specific metadata filter edge-case tests to mirror SQLite assertions exactly.~~ **DONE** — `tests/repository/test_metadata_filters_edge_cases.py` (6 tests: missing field, AND logic, contains single-element array, nested path missing intermediate, $gte/$lte boundaries, $between inclusive — all pass on both SQLite and Postgres)
-
-### 9) Compatibility and Hotfix Regression Pack (`c46d7a6`, `a0e754b`, `343a6e1`, `24ca5f6`, `e3ced49`, `8489a3d`, `b609c4e`, `f6e0a5b`, `7624a20`)
-
-### Acceptance criteria
-
- Legacy endpoints required by older CLI versions function without `405` (`GET /projects/projects`, `POST /projects/projects`, `POST /projects/config/sync`).
- Entity creation conflicts map to conflict status (not 500).
- `recent_activity` prompt defaults are correct.
- No spurious `metadata: {}` in serialized frontmatter.
- Tigris/rclone uses global consistency headers for all transaction types.
- `bm --version` fast path avoids heavy import path and remains responsive.
- Default SQLite DB path is isolated by config dir.
-
-### Gaps to close
-
- ~~Commits with no direct tests added (`c46d7a6`, `344e651`, `f6e0a5b`) need explicit regression tests.~~ **DONE**
-
-### Planned additions — DONE
-
- ~~Add API compat test covering all legacy endpoint methods and payloads.~~ **DONE** — `test_legacy_v1_add_project_endpoint`, `test_legacy_v1_sync_config_endpoint`
- ~~Add CLI fast-path test for `--version` import behavior/performance guard.~~ **DONE** — `test_bm_version_does_not_import_heavy_modules`
- ~~Add empty metadata serialization regression test.~~ **DONE** — `test_schema_to_markdown_empty_metadata_no_metadata_key`
- Add migration safety test for SQLite generated columns (`VIRTUAL` expectation) — deferred, low risk.
-
-## MCP Manual Verification Plan (LLM Tool Calls)
-
-Run after automated tests pass.
-
-### Setup
-
- Start MCP server: `basic-memory mcp --transport stdio`
- Use an MCP-capable client and issue tool calls directly.
-
-### Manual scenarios
-
- Schema: call `schema_validate`, `schema_infer`, and `schema_diff` on known fixtures.
- Schema: verify error and success payloads match acceptance criteria.
- Semantic search: call `search_notes` with `search_type=text|vector|hybrid`.
- Semantic search: verify ranking relevance on semantic fixture queries.
- Routing: call tools with explicit project on mixed local/cloud setup.
- Routing: verify success/failure paths with and without API key.
- Permalink routing: read/write/search notes across projects with colliding titles.
- Permalink routing: verify memory URL routing correctness.
- UI/TUI: call `search_notes` and `read_note` with UI variants and `output_format=text|json`.
- UI/TUI: verify payload/resource format and metadata completeness.
-
-## Implementation Backlog (Ordered)
-
-1. ~~Fill schema MCP/client/router coverage gaps.~~ **DONE** — 18 tests in `test_tool_schema.py` + `test_client_schema.py`
-2. ~~Fill semantic search MCP + Postgres repository gaps.~~ **DONE** — 20 tests in `test_postgres_search_repository_unit.py` + `test_tool_search.py`
-3. ~~Add compatibility regression tests (legacy endpoints, migration, version fast path).~~ **DONE** — 5 tests across 3 files (see below)
-4. ~~Add feature-level integration tests (permalinks, watch, CLI JSON, metadata filters).~~ **DONE** — 15 tests across 4 files (see items 4, 6, 7, 8 above)
-5. ~~Expand UI SDK and template branch tests.~~ **DONE** — 31 tests in `test_ui_templates.py` + `test_ui_sdk.py` + `test_ui_resources.py`
-6. ~~Run full gate and capture results in a short release readiness summary.~~ **DONE** — see results below
-
-### Full Gate Results (`just check`)
-
-| Phase | Result |
-|-------|--------|
-| lint | PASS |
-| format | PASS |
-| typecheck | PASS |
-| Unit tests (SQLite) | 1788 passed, 15 skipped |
-| Integration tests (SQLite) | 243 passed, 4 skipped, 10 deselected |
-| Unit tests (Postgres) | 1760 passed, 28 skipped |
-| Integration tests (Postgres) | 234 passed, 13 skipped, 10 deselected |
-
-**0 failures. 10 deselected = semantic benchmark tests (run separately via `just test-semantic`).**
-
-### Item 3 Details — Compatibility Regression Tests
-
-| Test | File | What it covers |
-|------|------|----------------|
-| `test_legacy_v1_add_project_endpoint` | `tests/api/v2/test_project_router.py` | POST `/projects/projects` legacy route reachable (idempotent path) |
-| `test_legacy_v1_sync_config_endpoint` | `tests/api/v2/test_project_router.py` | POST `/projects/config/sync` legacy route reachable |
-| `test_bm_version_does_not_import_heavy_modules` | `tests/cli/test_cli_exit.py` | `bm --version` fast path does not load `basic_memory.mcp` |
-| `test_schema_to_markdown_empty_metadata_no_metadata_key` | `tests/markdown/test_entity_parser_error_handling.py` | `schema_to_markdown()` with `entity_metadata={}` emits no `metadata:` key |
-| `test_legacy_v1_list_projects_endpoint` | `tests/api/v2/test_project_router.py` | (pre-existing) GET `/projects/projects` legacy route |
-
-**Suite totals after item 3: 1764 passed, 15 skipped, 0 failures.**
-
-## Suggested Commands
-
- Full suite: `just check`
- Fast loop: `just fast-check`
- E2E consistency: `just doctor`
- SQLite focused: `just test-sqlite`
- Postgres focused: `just test-postgres`
- Schema integration: `pytest test-int/test_schema -q`
- Semantic + repo focus: `pytest tests/repository/test_postgres_search_repository.py tests/mcp/test_tool_search.py tests/services/test_semantic_search.py -q`
- MCP integration focus: `pytest test-int/mcp -q`
-
-## Exit Criteria for This Plan
-
- All feature acceptance criteria above are validated.
- All identified high-priority coverage gaps are addressed or explicitly documented as intentional.
- Manual MCP verification scenarios complete with no P0/P1 findings.
@@ -1,318 +0,0 @@
-# v0.19.0 Release Notes
-
-## Overview
-
-v0.19.0 is a major release that introduces semantic vector search, a schema validation system,
-project-prefixed permalinks, per-project cloud routing, and a significant upgrade to FastMCP 3.0.
-It includes 90+ commits since v0.18.0 spanning new features, architectural improvements, and
-stability fixes across both SQLite and Postgres backends.
-
---
-
-## Major Features
-
-### Semantic Vector Search
-
-Full vector and hybrid search for SQLite (via sqlite-vec) and Postgres (via pgvector).
-
- **Hybrid search mode** combines full-text search (FTS) with vector similarity for best results
- **Score-based fusion** replaces RRF for hybrid ranking — `max(vec, fts) + 0.3 * min(vec, fts)` preserves dominant signals and rewards dual-source agreement (#577)
- **Default search mode** is now `hybrid` when semantic search is enabled, `text` when disabled
- Embedding providers: FastEmbed (local, default) or OpenAI API
- Configurable similarity threshold via `semantic_min_similarity` (default 0.55)
- Per-query `min_similarity` override on `search_notes` tool
- Auto-backfill: existing entities get embeddings generated on first startup
- Backend-specific distance-to-similarity conversion (cosine for SQLite, inner product for Postgres)
- FTS fallback: if semantic dependencies are missing, search gracefully degrades to text-only
- sqlite-vec knn `k` parameter capped at 4096 to prevent backend errors
-
-**Configuration:**
-```json
-{
-  "semantic_search_enabled": true,
-  "semantic_embedding_provider": "fastembed",
-  "semantic_embedding_model": "bge-small-en-v1.5",
-  "semantic_min_similarity": 0.55
-}
-```
-
-**Usage:**
-```
-search_notes("machine learning concepts", search_type="hybrid")
-search_notes("similar to my notes on coffee", search_type="vector")
-search_notes("exact phrase match", search_type="text")
-search_notes("broad search", min_similarity=0.3)  # lower threshold for more results
-```
-
-### Schema System
-
-Validate note structure against user-defined schemas with frontmatter-based rules.
-
- Define schemas as YAML in note frontmatter with field types, required fields, and constraints
- Frontmatter validation during sync — malformed notes get clear error messages
- Schema inference from existing notes to bootstrap schemas from your content
- Schema diff to compare two schemas and see changes
- Available via MCP tools and CLI
-
-### Project-Prefixed Permalinks
-
-Permalinks now include the project name for unambiguous cross-project references.
-
- Memory URLs like `memory://project-name/folder/note` route to the correct project
- Existing non-prefixed permalinks continue to work (backwards compatible)
- Controlled by `permalinks_include_project` config (default: true)
- `build_context` and `search_notes` auto-detect project from URL prefix
-
-### Per-Project Cloud Routing
-
-Individual projects can be routed through the cloud while others stay local.
-
- Set a project to cloud mode: `bm project set-cloud research`
- Revert to local: `bm project set-local research`
- Uses API key authentication: `bm cloud set-key bmc_abc123...`
- MCP tools automatically route based on each project's mode
- Local MCP server (`bm mcp`) still uses local routing for all projects by default
- `--local` and `--cloud` CLI flags override per-command
-
-### Workspace Selection
-
-Cloud projects can target specific workspaces for multi-tenant environments.
-
- `workspace` parameter on MCP tools for explicit workspace targeting
- CLI workspace-aware project listing with `bm project list`
- Spinner feedback while fetching cloud projects
-
---
-
-## New Tools and Capabilities
-
-### Dashboard (`bm project info`)
-
-`bm project info` now displays an htop-inspired compact dashboard with:
-
- Horizontal bar charts for note types (top 5)
- Embedding coverage bar with Unicode block characters
- Colored status dots for at-a-glance health
- `EmbeddingStatus` schema and `get_embedding_status()` service method for programmatic access
-
-### Unified Metadata Search
-
-`search_by_metadata` has been merged into `search_notes` — one tool for all searches.
-`query` is now optional, so you can search purely by frontmatter metadata.
-
-```
-search_notes(metadata_filters={"status": "in-progress"})
-search_notes(metadata_filters={"tags": ["security", "oauth"]})
-search_notes(metadata_filters={"priority": {"$in": ["high", "critical"]}})
-search_notes(metadata_filters={"schema.confidence": {"$gt": 0.7}})
-search_notes(tags=["security"])  # convenience shorthand
-search_notes(status="draft")     # convenience shorthand
-```
-
-### JSON Output Mode
-
-All MCP tools now support `output_format="json"` for machine-readable responses.
-
- Default remains `"text"` for human-readable output (no breaking changes)
- `build_context` defaults to `"json"` with slimmed payloads (redundant fields stripped)
- CLI tool commands support `--format json` flag
-
-### `tag:` Search Shorthand
-
-Search by tag using convenient shorthand syntax.
-
-```
-search_notes("tag:security")
-search_notes("tag:coffee AND tag:brewing")
-```
-
-### Entity User Tracking
-
-Entities now track `created_by` and `last_updated_by` fields for attribution.
-
-### Improved Search Result Content (#609)
-
-Search results now surface more relevant context:
-
- `matched_chunk_text` populated for FTS-only hybrid results (no more fallback to truncated content)
- `TOP_CHUNKS_PER_RESULT` increased from 3 to 5, catching answers deeper in large notes (~2700 → ~4500 chars)
- `CONTENT_DISPLAY_LIMIT` doubled from 2000 to 4000 chars for results without matched chunks
-
-### `write_note` Overwrite Guard (#632)
-
-`write_note` is now non-idempotent by default. If a note already exists, the tool returns an
-error instead of silently overwriting. Pass `overwrite=True` to replace, or use `edit_note`
-for incremental updates. Config option `write_note_overwrite_default` restores the old upsert
-behavior.
-
---
-
-## Architecture Changes
-
-### Score-Based Hybrid Fusion (#577)
-
-RRF (Reciprocal Rank Fusion) compressed all fused scores to ~0.016, destroying ranking
-differentiation. The new formula `max(vec, fts) + FUSION_BONUS * min(vec, fts)` preserves
-dominant signals and rewards dual-source agreement. Zero-score results now produce zero
-fused score instead of receiving a 0.1 weight floor.
-
-### FastMCP 3.0 Upgrade
-
-Upgraded from FastMCP 2.12.3 to 3.0.1.
-
- Tool annotations (`readOnlyHint`, `openWorldHint`) for better client integration
- Improved MCP protocol compliance
- Better error handling and context management
-
-### Prompts Call MCP Tools Directly
-
-MCP prompts (`search`, `continue_conversation`) now call MCP tools directly instead of
-going through API endpoints. This fixes empty results in discovery mode and ensures prompts
-use the same resolution logic as tools (including LinkResolver fallback).
-
-### build_context LinkResolver Fallback
-
-`build_context` now falls back to LinkResolver when an exact permalink lookup returns empty.
-This uses the same 7-strategy resolution pipeline as `read_note`, so callers no longer get
-empty results for valid note identifiers that don't match exact permalinks.
-
-### Sync Handles Semantic Dependency Errors Gracefully
-
-When sqlite-vec or another embedding provider is unavailable, `sync_file` now catches
-`SemanticDependenciesMissingError` separately. The entity is created and FTS-indexed
-successfully — only vector embeddings are skipped, with a clear warning:
-
-```
-WARNING: Semantic search dependencies missing — vector embeddings skipped for path=note.md.
-Run 'bm reindex --embeddings' after resolving the dependency issue.
-```
-
-### Unified Project Path
-
-Cloud projects with bisync now store the local filesystem path in `path` (not the Docker
-container path). Config migration automatically promotes `local_sync_path` → `path` for
-existing configs.
-
---
-
-## CLI Improvements
-
-### Status and Doctor Default to Local Routing
-
-`bm status` and `bm doctor` now default to local routing since they scan the local filesystem.
-Previously, cloud-mode projects would route these commands to the cloud API, which returned
-Docker-internal paths that don't exist locally.
-
-### `--format json` for CLI Tool Commands
-
-All `bm tool` subcommands support `--format json` for machine-readable output, enabling
-integration with scripts and plugins.
-
-### `--json` for Top-Level CLI Commands
-
-Five additional CLI commands now support `--json` for machine-readable output:
-
- `bm status --json` — sync report with new/modified/deleted/moved files and skipped files
- `bm project list --json` — structured project list with name, paths, routing mode, and defaults
- `bm schema validate --json` — validation report with per-note pass/fail, warnings, and errors
- `bm schema infer --json` — field frequency analysis and suggested schema definition
- `bm schema diff --json` — drift report with new fields, dropped fields, and cardinality changes
-
-This complements the existing `bm project info --json` and `bm tool --format json` support,
-making all major CLI commands scriptable for CI pipelines and automation.
-
-### Cloud Promo and Analytics
-
- Cloud promo panel shown on first run or version bump with OSS discount code
- Anonymous usage telemetry via Umami Cloud (promo/login funnel events only)
- Opt out with `BASIC_MEMORY_NO_PROMOS=1`
- No PII, no file contents, no per-command tracking
- See [Telemetry](https://github.com/basicmachines-co/basic-memory#telemetry) in README
-
---
-
-## Bug Fixes
-
- **#577**: RRF fusion compressed all hybrid scores to ~0.016, destroying ranking differentiation
- **#582**: build_context returns empty results on valid note identifiers
- **#575**: Remove hardcoded "main" default from default_project
- **#595**: recent_activity dedup and pagination across MCP tools
- **#593**: Backend-specific distance-to-similarity conversion
- **#592**: Strip NUL bytes from content before PostgreSQL search indexing
- **#562**: Use VIRTUAL instead of STORED columns in SQLite migration
- **#558**: Add X-Tigris-Consistent headers to all rclone commands
- **#541**: Handle EntityCreationError as conflict
- **#536**: Stabilize metadata filters on Postgres
- **#533**: Fix recent_activity prompt defaults
- **#530**: Prevent spurious `metadata: {}` in frontmatter output
- **#601**: Return matched chunk text in search results
- **#606**: Accept `null` for `expected_replacements` in `edit_note`
- **#579, #607**: Guard against closed streams in promo panel and missing vector tables on shutdown
- **#609**: FTS-only hybrid results missing `matched_chunk_text`; content limits too conservative
- **#631**: `build_context` related_results schema validation failure — replaced fragile `_slim_context()` stripping with Pydantic `exclude=True` field config
- **#630**: Skip workspace resolution when client factory is active — prevents 401 errors in cloud MCP server mode
- **#30**: `tag:` prefix query fails with hybrid search — moved tag prefix parsing to MCP tool level so it works with all search modes
- **#31**: `search_notes` returns cluttered observation/relation-level results — now defaults to entity-level results
- **#28**: `schema_infer` and `schema_diff` return raw Pydantic models as "undefined" in LLM output — added markdown formatters
- Fix `schema_validate` identifier resolution (now uses LinkResolver) and text rendering (markdown formatter)
- **#634**: `schema_validate` and `schema_diff` use stale database metadata instead of reading schema definitions from file — now reads frontmatter directly from the file with fallback to database metadata
- Fix `Post(**metadata)` crash when frontmatter contains `content` or `handler` keys
- Fix list-valued frontmatter fields (`title`, `type`) crashing on `.strip()` — now coerced to strings
- Cap sqlite-vec knn `k` parameter at 4096 to prevent backend errors
- Parameterize SQL queries in search repository type filters
- Double-default display in project list
- `ensure_frontmatter_on_sync` default changed to `True`
- Status/doctor commands fail with cloud-mode projects (Docker path error)
- Prompts return "0 projects" in discovery mode
-
---
-
-## Security
-
- Upgrade `cryptography` for CVE advisory
- Upgrade `python-multipart` for security advisory
-
---
-
-## Internal / Developer
-
- **#598**: Upgrade FastMCP 2.12.3 → 3.0.1 with tool annotations
- **#594**: Add `ty` as supplemental type checker
- **#538**: Add fast feedback loop tooling (`just fast-check`, `just doctor`, `just testmon`)
- **#600**: Rename `entity_type` to `note_type` for consistency
- **#596**: Fix CLI runtime defects and audit regressions
- CLI refactoring and workspace-aware cloud project listing
- Split and speed up PR test matrix in CI
- Fix CI: collect coverage from test jobs instead of re-running all tests
- Create `search_vector_chunks` in test fixtures for Postgres compatibility
-
---
-
-## Configuration Changes
-
-| Setting | Old Default | New Default | Notes |
-|---------|-------------|-------------|-------|
-| `semantic_search_enabled` | `false` | `true` | Semantic search on by default |
-| `ensure_frontmatter_on_sync` | `false` | `true` | Frontmatter added during sync |
-| `permalinks_include_project` | `false` | `true` | Project prefix in permalinks |
-
---
-
-## Upgrade Notes
-
- **Semantic search dependencies** are now included by default. If sqlite-vec fails to load,
-  search gracefully falls back to FTS. Run `bm reindex --embeddings` to generate embeddings
-  for existing content.
- **Hybrid search scoring** has changed from RRF to score-based fusion. Search result ordering
-  may differ — results should be more accurate with better score differentiation.
- **`search_by_metadata`** is removed as a standalone tool. Use `search_notes` with
-  `metadata_filters` instead (same parameters, same behavior).
- **Project-prefixed permalinks** are enabled by default. Existing notes keep their current
-  permalinks until modified. Set `permalinks_include_project: false` to disable.
- **Frontmatter on sync** is now enabled by default. Files without frontmatter will have it
-  added on next sync. Set `ensure_frontmatter_on_sync: false` to preserve old behavior.
- **Config migration** runs automatically for cloud projects with bisync — `local_sync_path`
-  is promoted to `path` so filesystem operations work correctly.
- **`write_note` is no longer idempotent** — calls to `write_note` for existing notes now
-  return an error unless `overwrite=True` is passed. Use `edit_note` for incremental changes,
-  or set `write_note_overwrite_default: true` in config to restore the old behavior.
@@ -1,209 +0,0 @@
-# Semantic Search Manual Test Log
-
-## Overview
-
-Manual test session for semantic (vector) search on the main project.
- Date: 2026-02-15
- Database: ~/.basic-memory/memory.db (SQLite)
- Entities: 456 embedded, 2714 vector chunks
- Search index: 2390 FTS entries
- Embedding model: default (384-dim, sqlite-vec)
-
-## Test Plan
-
-1. **Search Type Routing** — verify vector/hybrid/text dispatch, invalid search_type handling
-2. **Conceptual Queries** — natural language where vector should beat FTS
-3. **Keyword Queries** — exact terms where FTS should be strong
-4. **Hybrid Ranking** — queries where both FTS and vector contribute
-5. **Result Types** — entities, observations, relations in vector results
-6. **Filters + Vector** — combine vector with types/entity_types/after_date
-7. **Edge Cases** — short queries, long queries, empty, special chars, no-match
-8. **Pagination** — page > 1, page_size respected
-
---
-
-## Test Results
-
-### Test 1: Search Type Routing
-
-#### 1a: search_type="semantic" (invalid value)
- **Input:** query="how does the knowledge graph work", search_type="semantic"
- **Expected:** error or explicit fallback
- **Actual:** Silently falls through to text search (else branch in search.py:430)
- **Verdict:** BUG — should either be a recognized alias for "vector" or return an error
-
-#### 1b: search_type="vector"
- **Input:** query="keeping AI context between sessions", search_type="vector"
- **Actual:** 5 results, scores ~0.58-0.59, found "Maintaining context across conversation boundaries" observation
- **Verdict:** PASS
-
-#### 1c: search_type="text" with conceptual query
- **Input:** query="keeping AI context between sessions", search_type="text"
- **Actual:** 0 results (no exact keyword match)
- **Verdict:** PASS (expected — FTS requires token overlap)
-
-#### 1d: search_type="hybrid" with conceptual query
- **Input:** query="keeping AI context between sessions", search_type="hybrid"
- **Actual:** 5 results, same ranking as vector (FTS contributed nothing here)
- **Verdict:** PASS
-
-#### 1e: search_type="text" with keyword query
- **Input:** query="OAuth authentication", search_type="text"
- **Actual:** 3 results — AUTH.md Supabase OAuth, OAuth Rip-and-Replace, OAuth Integration Analysis
- **Verdict:** PASS
-
-#### 1f: search_type="vector" with keyword query
- **Input:** query="OAuth authentication", search_type="vector"
- **Actual:** Same top results as text (keyword-rich content also scores well in vector space)
- **Verdict:** PASS
-
---
-
-### Test 2: Conceptual Queries (vector advantage)
-
-#### 2a: Natural language question
- **Input:** query="why do AI assistants forget things", search_type="vector"
- **Actual:** 5 results — Manual Testing Session, "Balance security and usability" observation, "Tools should match thought patterns" observation. Scores ~0.56-0.57
- **Vector advantage:** Found conceptually related content despite no exact keyword overlap
- **Verdict:** PASS
-
-#### 2b: Same query, text search
- **Input:** query="why do AI assistants forget things", search_type="text"
- **Actual:** 1 result — "What is Basic Memory?" (likely matched on "AI" token)
- **Verdict:** PASS (demonstrates vector advantage — text barely matched)
-
-#### 2c: Domain concept with no jargon
- **Input:** query="pricing strategy for cloud product", search_type="vector"
- **Actual:** 3 results — SPEC-16 MCP Cloud Service Consolidation, knowledge architecture observation, Visual Knowledge Spaces relation. Scores ~0.56-0.57
- **Verdict:** PASS (found cloud-related content conceptually)
-
-#### 2d: Technical concept, long query
- **Input:** query="SQLite performance optimization WAL mode concurrent writes", search_type="vector"
- **Actual:** 3 results — SPEC-11 API Performance Optimization, Real-Time Updates with WebSockets, marketing status update. Scores ~0.55-0.58
- **Verdict:** PASS (found performance-related content)
-
---
-
-### Test 3: Keyword Queries (FTS strength)
-
-#### 3a: Exact term match — "OAuth authentication"
- **Text:** 3 results with high relevance (exact matches in titles)
- **Vector:** Same top results (keyword overlap helps vector too)
- **Verdict:** PASS — FTS and vector converge on keyword-rich queries
-
-#### 3b: "OAuth" single keyword, hybrid mode
- **Input:** query="OAuth", search_type="hybrid"
- **Actual:** 5 results — Basic Memory Coding Guide, AI Collaboration Examples, SPEC-18, daily note, Manual Testing Session. FTS + vector blended. Scores ~0.016-0.032
- **Note:** Top hybrid result is "Basic Memory Coding Guide" not an OAuth-specific doc — suggests hybrid scoring may dilute strong FTS matches
- **Verdict:** PASS but hybrid ranking questionable for single-keyword queries
-
---
-
-### Test 4: Hybrid Ranking
-
-#### 4a: Hybrid vs vector on "OAuth authentication"
- **Hybrid with entity_types=["entity"]:** 5 results — RLS Implementation Lessons, Cloud Readiness Assessment, AUTH.md OAuth, Core Service Implementation, OAuth Rip-and-Replace. Scores ~0.016-0.023
- **Vector with entity_types=["entity"]:** 5 results — Core Service Implementation, SPEC-13 CLI Auth, Coding Guide, Authentication Service, ADR Production Auth. Scores ~0.55-0.60
- **Observation:** Hybrid surfaces different top results than vector-only. Hybrid found RLS and Cloud Readiness docs that vector didn't prioritize. Different ranking is expected from RRF fusion.
- **Verdict:** PASS — hybrid produces meaningfully different ranking
-
---
-
-### Test 5: Result Types
-
-#### 5a: Vector returns all result types
- **Input:** query="keeping AI context between sessions", search_type="vector"
- **Entities:** SPEC-18 AI Memory Management Tool (type=entity)
- **Relations:** Prompt Builder integrates_with (type=relation)
- **Observations:** "Translation layer is key" (type=observation), "Maintaining context across conversation boundaries" (type=observation)
- **Verdict:** PASS — all three types appear in vector results
-
-#### 5b: Observations carry metadata
- **Observation result:** category="challenge", content="Maintaining context across conversation boundaries", from_entity="research/ai-knowledge-management-research"
- **Verdict:** PASS — category, content, from_entity, tags all present
-
-#### 5c: Relations carry link info
- **Relation result:** relation_type="integrates_with", from_entity="development/features/prompt-builder...", to_entity (present but truncated in some)
- **Verdict:** PASS — relation metadata present
-
---
-
-### Test 6: Filters + Vector Search
-
-#### 6a: entity_types=["entity"] with vector
- **Input:** query="OAuth authentication", search_type="vector", entity_types=["entity"]
- **Actual:** 5 results, all type="entity" (Core Service Implementation, SPEC-13, Coding Guide, Authentication Service, ADR Auth)
- **Verdict:** PASS — filter correctly restricts to entities only
-
-#### 6b: types=["note"] with vector
- **Input:** query="OAuth authentication", search_type="vector", types=["note"]
- **Actual:** Same 5 results (all have entity_type="note" in metadata)
- **Verdict:** PASS — types filter works with vector search
-
-#### 6c: after_date with vector
- **Input:** query="OAuth authentication", search_type="vector", after_date="2025-06-01"
- **Actual:** 3 results — Core Service Implementation, Cloud Web App analysis observation, SPEC-13. Filtered out older OAuth docs.
- **Verdict:** PASS — date filter applied correctly
-
-#### 6d: entity_types=["entity"] with hybrid
- **Input:** query="OAuth authentication", search_type="hybrid", entity_types=["entity"]
- **Actual:** 5 results, all type="entity" — RLS lessons, Cloud Readiness, AUTH.md OAuth, Core Service, OAuth Rip-and-Replace
- **Verdict:** PASS — filter works with hybrid mode too
-
-#### 6e: types=["entity"] with vector (WRONG filter name)
- **Input:** query="OAuth authentication", search_type="vector", types=["entity"]
- **Actual:** 0 results
- **Note:** `types` filters by entity_type metadata (e.g., "note", "person"), NOT by SearchItemType. Using types=["entity"] looks for entity_type="entity" which few/no notes have. This is a UX confusion point — the param names are ambiguous.
- **Verdict:** PASS (correct behavior) but USABILITY ISSUE — easy to confuse types vs entity_types
-
---
-
-### Test 7: Edge Cases
-
-#### 7a: Single character query
- **Input:** query="x", search_type="vector"
- **Actual:** 3 results — "Self-contained application bundle" observation, Non-Markdown File Support relation, quick-win-tools entity. Scores ~0.57-0.59
- **Note:** Single character still produces an embedding and returns results. Quality is low/random as expected.
- **Verdict:** PASS (no crash, returns results)
-
-#### 7b: Whitespace-only query
- **Input:** query="   ", search_type="vector"
- **Actual:** 0 results
- **Verdict:** PASS (handled gracefully — _check_vector_eligible strips and rejects empty)
-
-#### 7c: Query with no relevant content
- **Input:** query="quantum computing blockchain", search_type="vector"
- **Actual:** 3 results — Inter-Agent Communication relation, Self-contained bundle observation, JSON-LD interop observation. Scores ~0.54
- **Note:** Still returns results because vector search always finds nearest neighbors. Scores are lower (~0.54) than relevant queries (~0.58-0.60). No relevance threshold applied.
- **Verdict:** PASS (expected behavior) but NOTE — no relevance cutoff means irrelevant queries always return something
-
---
-
-### Test 8: Pagination
-
-#### 8a: Vector search page 2
- **Input:** query="keeping AI context between sessions", search_type="vector", page=2, page_size=3
- **Actual:** 3 results on page 2, current_page=2. Different results from page 1. Top: "Maintaining context across conversation boundaries" observation (score 0.587)
- **Note:** Interestingly, page 2 had a higher-scoring result than some page 1 results. This may indicate pagination doesn't sort globally — it might be paginating within a pre-scored set.
- **Verdict:** PASS (pagination works) but POSSIBLE ISSUE — result ordering across pages needs investigation
-
---
-
-## Summary
-
-### Passing Tests: 20/21
-
-### Bugs Found
-1. **search_type="semantic" silently falls through** (Test 1a) — Invalid search_type values fall to the `else` branch and default to text search without any warning. Should either alias "semantic" to "vector" or raise an error.
-
-### Usability Issues
-2. **types vs entity_types confusion** (Test 6e) — `types` filters by entity_type metadata (note, person, etc.) while `entity_types` filters by SearchItemType (entity, observation, relation). The naming is ambiguous and easy to mix up.
-3. **No relevance threshold** (Test 7c) — Vector search always returns nearest neighbors even for completely irrelevant queries. Consider adding a minimum score threshold or at least documenting expected score ranges.
-4. **Hybrid ranking for single keywords** (Test 3b) — Hybrid mode on simple keyword queries produced less intuitive rankings than pure FTS or pure vector. The RRF fusion may dilute strong FTS signals.
-
-### Observations
- Vector search successfully finds conceptually related content that FTS misses entirely
- Score ranges: relevant queries ~0.56-0.60, irrelevant queries ~0.54 (narrow spread)
- All three result types (entity, observation, relation) appear correctly in vector results
- Filters (entity_types, types, after_date) all work correctly with vector and hybrid modes
- Pagination works but cross-page ordering may need investigation
@@ -1,26 +1,26 @@
 # Semantic Search

-This guide covers Basic Memory's semantic (vector) search feature, which adds meaning-based retrieval alongside the existing full-text search.
+This guide covers Basic Memory's optional semantic (vector) search feature, which adds meaning-based retrieval alongside the existing full-text search.

 ## Overview

-Basic Memory's search supports both full-text search (FTS) and semantic retrieval. Semantic search adds vector embeddings that capture the *meaning* of your content, enabling:
+Basic Memory's default search uses full-text search (FTS) — keyword matching with boolean operators. Semantic search adds vector embeddings that capture the *meaning* of your content, enabling:

 - **Paraphrase matching**: Find "authentication flow" when searching for "login process"
 - **Conceptual queries**: Search for "ways to improve performance" and find notes about caching, indexing, and optimization
 - **Hybrid retrieval**: Combine the precision of keyword search with the recall of semantic similarity

-Semantic search is enabled by default when semantic dependencies are available at runtime. It works on both SQLite (local) and Postgres (cloud) backends.
+Semantic search is **opt-in** — existing behavior is completely unchanged unless you enable it. It works on both SQLite (local) and Postgres (cloud) backends.

 ## Installation

-Semantic search dependencies (fastembed, sqlite-vec, openai) are included in the default `basic-memory` install.
+Semantic search dependencies (fastembed, sqlite-vec, openai) are **optional extras** — they are not installed with the base `basic-memory` package. Install them with:

 ```bash
-pip install basic-memory
+pip install 'basic-memory[semantic]'
 ```

-You can always override with `BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED=true|false`.
+This keeps the base install lightweight and avoids platform-specific issues with ONNX Runtime wheels.

 ### Platform Compatibility

@@ -34,40 +34,36 @@ You can always override with `BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED=true|false`.

 #### Intel Mac Workaround

-The default install includes FastEmbed, which depends on ONNX Runtime. ONNX Runtime dropped Intel Mac (x86_64) wheels starting in v1.24, so install with a compatible ONNX Runtime pin first:
-
-```bash
-pip install basic-memory 'onnxruntime<1.24'
-```
-
-After installation, Intel Mac users have two runtime options:
+The default FastEmbed provider uses ONNX Runtime, which dropped Intel Mac (x86_64) wheels starting in v1.24. Intel Mac users have two options:

 **Option 1: Use OpenAI embeddings (recommended)**

+Install only the OpenAI dependency manually — no ONNX Runtime or FastEmbed needed:
+
 ```bash
+pip install openai sqlite-vec
 export BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED=true
 export BASIC_MEMORY_SEMANTIC_EMBEDDING_PROVIDER=openai
 export OPENAI_API_KEY=sk-...
 ```

-**Option 2: Use FastEmbed locally**
+**Option 2: Pin an older ONNX Runtime**

-Keep the same pinned installation and use FastEmbed (default provider):
+FastEmbed's ONNX Runtime dependency is unpinned, so you can constrain it to an older version that still ships Intel Mac wheels by passing both requirements in the same install command:

 ```bash
-export BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED=true
-export BASIC_MEMORY_SEMANTIC_EMBEDDING_PROVIDER=fastembed
+pip install 'basic-memory[semantic]' 'onnxruntime<1.24'
 ```

 ## Quick Start

-1. Install Basic Memory:
+1. Install semantic extras:

 ```bash
-pip install basic-memory
+pip install 'basic-memory[semantic]'
 ```

-2. (Optional) Explicitly enable semantic search:
+2. Enable semantic search:

 ```bash
 export BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED=true
@@ -88,7 +84,7 @@ search_notes("login process", search_type="vector")
 # Hybrid: combines FTS precision with vector recall (recommended)
 search_notes("login process", search_type="hybrid")

-# Explicit full-text search
+# Traditional full-text search (still the default)
 search_notes("login process", search_type="text")
 ```

@@ -98,7 +94,7 @@ All settings are fields on `BasicMemoryConfig` and can be set via environment va

 | Config Field | Env Var | Default | Description |
 |---|---|---|---|
-| `semantic_search_enabled` | `BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED` | Auto (`true` when semantic deps are available) | Enable semantic search. Required before vector/hybrid modes work. |
+| `semantic_search_enabled` | `BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED` | `false` | Enable semantic search. Required before vector/hybrid modes work. |
 | `semantic_embedding_provider` | `BASIC_MEMORY_SEMANTIC_EMBEDDING_PROVIDER` | `"fastembed"` | Embedding provider: `"fastembed"` (local) or `"openai"` (API). |
 | `semantic_embedding_model` | `BASIC_MEMORY_SEMANTIC_EMBEDDING_MODEL` | `"bge-small-en-v1.5"` | Model identifier. Auto-adjusted per provider if left at default. |
 | `semantic_embedding_dimensions` | `BASIC_MEMORY_SEMANTIC_EMBEDDING_DIMENSIONS` | Auto-detected | Vector dimensions. 384 for FastEmbed, 1536 for OpenAI. Override only if using a non-default model. |
@@ -116,8 +112,8 @@ FastEmbed runs entirely locally using ONNX models — no API key, no network cal
 - **Tradeoff**: Smaller model, fast inference, good quality for most use cases

 ```bash
-# Install basic-memory and enable semantic search
-pip install basic-memory
+# Install semantic extras and enable
+pip install 'basic-memory[semantic]'
 export BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED=true
 ```

@@ -165,13 +161,13 @@ Returns results ranked by cosine similarity. Individual observations and relatio

 ### `hybrid`

-Combines FTS and vector results using score-based fusion. This is generally the best mode when you want both keyword precision and semantic recall.
+Combines FTS and vector results using reciprocal rank fusion (RRF). This is generally the best mode when you want both keyword precision and semantic recall.

 ```python
 search_notes("authentication security", search_type="hybrid")
 ```

-Score-based fusion uses the formula `max(vec, fts) + bonus * min(vec, fts)` to preserve the dominant signal while rewarding results found by both methods.
+RRF merges the two ranked lists so that items appearing in both get a score boost, while items found by only one method still appear.

 ### When to Use Which

@@ -201,8 +197,7 @@ bm reindex -p my-project

 ### When You Need to Reindex

- **Upgrade note**: Migration now performs a one-time automatic embedding backfill on upgrade.
- **Manual enable case**: If you explicitly had `semantic_search_enabled=false` and then turn it on
+- **First enable**: After turning on `semantic_search_enabled` for the first time
 - **Provider change**: After switching between `fastembed` and `openai`
 - **Model change**: After changing `semantic_embedding_model`
 - **Dimension change**: After changing `semantic_embedding_dimensions`
@@ -236,14 +231,14 @@ Each chunk has a `source_hash` (SHA-256 of the chunk text). On re-sync, unchange

 ### Hybrid Fusion

-Hybrid search uses score-based fusion to merge FTS and vector results:
+Hybrid search uses reciprocal rank fusion (RRF) to merge FTS and vector results:

-1. Run FTS search to get keyword-ranked results; normalize scores to [0, 1]
-2. Run vector search to get similarity-ranked results (already [0, 1])
-3. For each result, compute: `fused = max(vec_score, fts_score) + 0.3 * min(vec_score, fts_score)`
+1. Run FTS search to get keyword-ranked results
+2. Run vector search to get similarity-ranked results
+3. For each result, compute: `score = 1/(k + fts_rank) + 1/(k + vector_rank)` where `k = 60`
 4. Sort by fused score

-The dominant signal (whichever source scored higher) is preserved, and dual-source agreement adds a bonus. Unlike rank-based fusion, this approach retains score magnitude — a strong vector match stays strong even without an FTS hit.
+Items found by both methods get a natural score boost. Items found by only one method still appear but rank lower.

 ### Observation-Level Results

@@ -1,225 +0,0 @@
-# SPEC-LOCAL-PLUS-PUBLISH: Local+ Published Notes and Privacy Tiers
-
-**Status:** Draft  
-**Date:** 2026-02-14  
-**Owner:** Basic Memory
-
-## Summary
-
-Add a paid Local+ feature that lets users publish selected notes to shareable URLs while keeping the
-main knowledge base local-first. Use this as a product wedge for users who do not want full cloud
-hosting but do want collaboration and distribution features.
-
-This spec also captures a practical position on "zero knowledge" for Local+.
-
-## Context
-
-Basic Memory already has strong local-first primitives and optional cloud routing/sync. A recurring
-request is:
-
- keep knowledge local by default,
- pay for selective value-add,
- share specific outputs externally.
-
-Published Notes fits this model: explicit per-note opt-in, reversible, and easy to understand.
-
-## Goals
-
-1. Provide an Obsidian Publish-style sharing experience for selected notes.
-2. Keep local markdown files as source of truth.
-3. Make sharing compatible with current cloud/auth/billing primitives.
-4. Define clear Local+ packaging that does not degrade OSS local workflows.
-5. Document zero-knowledge constraints so product decisions are explicit.
-
-## Non-Goals
-
-1. Full hosted editing for all notes (Cloud Full remains separate).
-2. Public website builder/CMS features.
-3. Strict cryptographic zero-knowledge server processing for MCP/search in v1.
-
-## Local+ Feature Catalog (Sellable)
-
-Core Local+ candidates:
-
-1. Published Notes (share URL, revoke, expiry, password).
-2. Snapshot Time Machine (point-in-time restore for local projects).
-3. Recovery Drill Reports (automated restore verification).
-4. Device/API Key Governance (per-device keys, revocation, audit trail).
-5. BYO Storage Orchestration (managed setup for user-owned object storage).
-6. Semantic Boost Add-on (higher quality retrieval options while files remain source-of-truth).
-
-Team-oriented add-ons:
-
-1. Team-owned shared links and domain branding.
-2. Role-based publish permissions.
-3. Shared workspace policies for what can be published.
-
-## Proposed MVP: Published Notes
-
-### User Experience
-
-Per note actions:
-
-1. Publish.
-2. Unpublish.
-3. Copy URL.
-4. Regenerate URL.
-5. Set visibility and controls.
-
-Controls:
-
-1. Visibility: `unlisted` (default) or `public`.
-2. Optional password gate.
-3. Optional expiration datetime.
-4. Optional "disable indexing" flag for public mode.
-
-Behavior:
-
-1. Source note remains local markdown.
-2. Publish is explicit opt-in per note.
-3. Unpublish removes public access immediately.
-4. Republish creates a new URL token unless user chooses to keep current URL.
-
-### URL Model
-
-1. Unlisted share URL: high-entropy token path.
-2. Public URL: slug path (optional, later phase).
-3. Team plans can support custom domain mapping in later phase.
-
-### Content Model
-
-v1 published page includes:
-
-1. Rendered markdown body.
-2. Optional metadata (title, updated_at).
-
-v1 excludes:
-
-1. Full graph traversal expansion.
-2. Related note auto-discovery on public pages.
-
-### Sync Model
-
-1. Local file remains canonical.
-2. Publish stores a rendered snapshot plus metadata in cloud.
-3. Update path:
-   - manual "update published version", or
-   - optional auto-update on note change (plan-gated).
-
-## Architecture (v1)
-
-### High-Level Flow
-
-1. Client selects a note to publish.
-2. Client sends publish request with note identifier and policy.
-3. Service resolves note content (local sync artifact or explicit upload payload).
-4. Service stores published artifact and returns share URL.
-
-### Data Model
-
-`published_notes`
-
-1. `id` (uuid)
-2. `tenant_id` or `workspace_id`
-3. `project_id`
-4. `entity_permalink` (or stable external_id)
-5. `share_token` (hashed in DB)
-6. `visibility` (`unlisted`|`public`)
-7. `password_hash` (nullable)
-8. `expires_at` (nullable)
-9. `is_active`
-10. `published_content` (rendered snapshot or reference)
-11. `published_at`
-12. `updated_at`
-
-### API Shape (Draft)
-
-1. `POST /api/published-notes`
-2. `GET /api/published-notes`
-3. `GET /api/published-notes/{id}`
-4. `PATCH /api/published-notes/{id}`
-5. `DELETE /api/published-notes/{id}` (unpublish)
-6. `POST /api/published-notes/{id}/regenerate-url`
-7. `GET /p/{token}` (public resolver)
-
-### CLI Shape (Draft)
-
-1. `bm cloud publish <identifier>`
-2. `bm cloud publish list`
-3. `bm cloud publish update <id>`
-4. `bm cloud publish unpublish <id>`
-5. `bm cloud publish rotate-url <id>`
-
-### Security
-
-1. Default to unlisted URLs.
-2. Store only hashed share tokens.
-3. Passwords hashed server-side.
-4. Enforce expiration at request time.
-5. Log publish/unpublish/rotate events for auditability.
-
-## Packaging and Pricing Direction
-
-Suggested split:
-
-1. OSS Local: no publish URLs.
-2. Local+ Solo: publish URLs + snapshots + recovery.
-3. Local+ Team: solo features + team governance and branding.
-4. Cloud Full: hosted app + full cloud workflows.
-
-Key message:
-"Keep everything local. Publish only what you choose."
-
-## Rollout Plan
-
-1. Phase 1: Unlisted publish URLs + unpublish + regenerate URL.
-2. Phase 2: Password/expiry controls.
-3. Phase 3: Auto-update on note change and basic analytics.
-4. Phase 4: Team branding/domains/policies.
-
-## Zero-Knowledge Position
-
-### Strict Zero-Knowledge Definition
-
-Strict zero-knowledge means the server cannot decrypt note content at all.
-
-### Why This Conflicts with MCP and Search
-
-If server cannot decrypt:
-
-1. MCP tool execution against cloud content cannot read/write semantic content.
-2. Full-text search cannot index plaintext content.
-3. Semantic/vector search cannot generate or query embeddings on plaintext.
-4. Server-side relation resolution and context building become severely limited.
-
-This matches earlier findings: strict zero-knowledge materially handicaps MCP-driven behavior and
-search quality.
-
-### Viable Alternatives (Not Strict Zero-Knowledge)
-
-1. Encryption at rest/in transit with server-side decrypt in trusted runtime.
-   - Preserves MCP/search quality.
-   - Not zero-knowledge cryptographically.
-
-2. Client-side retrieval mode.
-   - Keep MCP/search local; cloud is sync/share/backup relay.
-   - Best for privacy-first users.
-   - Requires local agent availability for advanced retrieval.
-
-3. Limited encrypted indexing.
-   - Blind indexes for exact keywords only.
-   - No high-quality semantic search.
-   - Usually poor UX for natural-language memory recall.
-
-### Recommendation
-
-For Local+:
-
-1. Do not promise strict zero-knowledge for cloud MCP/search paths.
-2. Offer a privacy-first local mode where advanced retrieval stays local.
-3. Clearly label tradeoffs:
-   - "Local private mode" (best privacy, best local retrieval).
-   - "Cloud-assisted mode" (best cross-device/MCP consistency, trusted-runtime decrypt).
-
-This keeps messaging honest and avoids repeating the known incompatibility.
-
@@ -64,7 +64,6 @@ class SchemaDefinition:
    version: int                 # Schema version
    fields: list[SchemaField]    # Parsed fields
    validation_mode: str         # "warn" | "strict" | "off"
-    frontmatter_fields: list[SchemaField]  # From settings.frontmatter (default: [])


 def parse_picoschema(yaml_dict: dict) -> list[SchemaField]:
@@ -146,16 +145,14 @@ class ValidationResult:
 async def validate_note(
    note: Note,
    schema: SchemaDefinition,
-    frontmatter: dict | None = None,
 ) -> ValidationResult:
    """Validate a note against a schema definition.

    Mapping rules:
-    - field: string              → observation [field] exists
-    - field?(array): type        → multiple [field] observations
-    - field?: EntityType         → relation 'field [[...]]' exists
-    - field?(enum): [v]          → observation [field] value ∈ enum values
-    - settings.frontmatter field → frontmatter key presence/value
+    - field: string       → observation [field] exists
+    - field?(array): type → multiple [field] observations
+    - field?: EntityType  → relation 'field [[...]]' exists
+    - field?(enum): [v]   → observation [field] value ∈ enum values
    """
 ```

@@ -73,7 +73,6 @@ authors to learn.
 | `field?(array): EntityType` | Multiple `field` relations | `- authored [[Book]]` (×N) |
 | `tags` | Frontmatter `tags` array | `tags: [startups, essays]` |
 | `field?(enum): [values]` | Observation `[field] value` where value ∈ set | `- [status] active` |
-| `settings.frontmatter` field | Frontmatter key presence/value | `tags: [python, ai]` |

 ### Key Insight

@@ -100,9 +99,6 @@ schema:
  expertise?(array): string, areas of knowledge
 settings:
  validation: warn    # warn | strict | off
-  frontmatter:
-    tags?(array): string, note categories
-    status?(enum): [draft, review, published]
 ---

 # Person
@@ -234,32 +230,6 @@ $ bm schema validate people/ada-lovelace.md
 "Unmatched" items are informational — observations and relations the schema doesn't cover.
 They're valid. Schemas are a subset, not a straitjacket.

-### Frontmatter Validation
-
-Schema notes can declare validation rules for frontmatter keys under `settings.frontmatter`
-using the same Picoschema syntax as the `schema` block:
-
-```yaml
-settings:
-  validation: warn
-  frontmatter:
-    tags?(array): string
-    status?(enum): [draft, review, published]
-```
-
- Frontmatter rules use the same Picoschema key syntax (`?` for optional, `(enum)`, `(array)`)
- Only available on schema notes (inline schemas skip frontmatter validation)
- Checks key presence (required vs optional) and enum value membership
- Unmatched frontmatter keys not in the schema are silently ignored
- Missing required frontmatter keys produce a warning (or error in strict mode)
-
-Example output for a missing required frontmatter key:
-
-```
-⚠ Person schema validation:
-  - Missing required frontmatter key: status
-```
-
 ### Batch Validation

 ```
@@ -2,6 +2,7 @@

 # Install dependencies
 install:
+    uv pip install -e ".[dev]"
    uv sync
    @echo ""
    @echo "💡 Remember to activate the virtual environment by running: source .venv/bin/activate"
@@ -42,9 +43,9 @@ test-unit-sqlite:
 test-unit-postgres:
    BASIC_MEMORY_ENV=test BASIC_MEMORY_TEST_POSTGRES=1 uv run pytest -p pytest_mock -v --no-cov tests

-# Run integration tests against SQLite (excludes semantic benchmarks — use just test-semantic)
+# Run integration tests against SQLite
 test-int-sqlite:
-    BASIC_MEMORY_ENV=test uv run pytest -p pytest_mock -v --no-cov -m "not semantic" test-int
+    uv run pytest -p pytest_mock -v --no-cov test-int

 # Run integration tests against Postgres
 # Note: Uses timeout due to FastMCP Client + asyncpg cleanup hang (tests pass, process hangs on exit)
@@ -55,10 +56,10 @@ test-int-postgres:
    # Use gtimeout (macOS/Homebrew) or timeout (Linux)
    TIMEOUT_CMD=$(command -v gtimeout || command -v timeout || echo "")
    if [[ -n "$TIMEOUT_CMD" ]]; then
-        $TIMEOUT_CMD --signal=KILL 600 bash -c 'BASIC_MEMORY_ENV=test BASIC_MEMORY_TEST_POSTGRES=1 uv run pytest -p pytest_mock -v --no-cov -m "not semantic" test-int' || test $? -eq 137
+        $TIMEOUT_CMD --signal=KILL 600 bash -c 'BASIC_MEMORY_TEST_POSTGRES=1 uv run pytest -p pytest_mock -v --no-cov test-int' || test $? -eq 137
    else
        echo "⚠️  No timeout command found, running without timeout..."
-        BASIC_MEMORY_ENV=test BASIC_MEMORY_TEST_POSTGRES=1 uv run pytest -p pytest_mock -v --no-cov -m "not semantic" test-int
+        BASIC_MEMORY_TEST_POSTGRES=1 uv run pytest -p pytest_mock -v --no-cov test-int
    fi

 # Run tests impacted by recent changes (requires pytest-testmon)
@@ -98,31 +99,13 @@ postgres-migrate:
 # These tests verify Windows-specific database optimizations (locking mode, NullPool)
 # Will be skipped automatically on non-Windows platforms
 test-windows:
-    BASIC_MEMORY_ENV=test uv run pytest -p pytest_mock -v --no-cov -m windows tests test-int
+    uv run pytest -p pytest_mock -v --no-cov -m windows tests test-int

 # Run benchmark tests only (performance testing)
 # These are slow tests that measure sync performance with various file counts
 # Excluded from default test runs to keep CI fast
 test-benchmark:
-    BASIC_MEMORY_ENV=test uv run pytest -p pytest_mock -v --no-cov -m benchmark tests test-int
-
-# Run semantic search quality benchmarks (all combos)
-test-semantic:
-    BASIC_MEMORY_ENV=test uv run pytest -p pytest_mock -v --no-cov -m semantic test-int/semantic/
-
-# Run semantic benchmarks with JSON artifact output, then show report
-test-semantic-report:
-    BASIC_MEMORY_ENV=test BASIC_MEMORY_BENCHMARK_OUTPUT=.benchmarks/semantic-quality.jsonl uv run pytest -p pytest_mock -v -s --no-cov -m semantic test-int/semantic/
-    uv run python test-int/semantic/report.py .benchmarks/semantic-quality.jsonl
-
-# Run semantic benchmarks (Postgres combos only)
-test-semantic-postgres:
-    BASIC_MEMORY_ENV=test uv run pytest -p pytest_mock -v --no-cov -m semantic -k postgres test-int/semantic/
-
-# View semantic benchmark results (rich formatted table)
-# Usage: just semantic-report [--filter-combo sqlite] [--filter-suite paraphrase] [--sort-by avg_latency_ms]
-semantic-report *args:
-    uv run python test-int/semantic/report.py .benchmarks/semantic-quality.jsonl {{args}}
+    uv run pytest -p pytest_mock -v --no-cov -m benchmark tests test-int

 # Compare two search benchmark JSONL outputs
 # Usage:
@@ -134,7 +117,7 @@ benchmark-compare baseline candidate *args:
 # Run all tests including Windows, Postgres, and Benchmarks (for CI/comprehensive testing)
 # Use this before releasing to ensure everything works across all backends and platforms
 test-all:
-    BASIC_MEMORY_ENV=test uv run pytest -p pytest_mock -v --no-cov tests test-int
+    uv run pytest -p pytest_mock -v --no-cov tests test-int

 # Generate HTML coverage report
 coverage:
@@ -170,14 +153,10 @@ lint: fix
 fix:
    uv run ruff check --fix --unsafe-fixes src tests test-int

-# Type check code (pyright)
+# Type check code
 typecheck:
    uv run pyright

-# Type check code (ty)
-typecheck-ty:
-    uv run ty check src/
-
 # Clean build artifacts and cache files
 clean:
    find . -type f -name '*.pyc' -delete
@@ -205,51 +184,6 @@ doctor:
    BASIC_MEMORY_CONFIG_DIR="$TMP_CONFIG" \
    ./.venv/bin/python -m basic_memory.cli.main doctor --local

-# Run an isolated Logfire smoke workflow for local trace inspection
-telemetry-smoke:
-    #!/usr/bin/env bash
-    set -euo pipefail
-    TMP_HOME=$(mktemp -d)
-    TMP_CONFIG=$(mktemp -d)
-    TMP_PROJECT=$(mktemp -d)
-    export HOME="$TMP_HOME"
-    export BASIC_MEMORY_ENV="${BASIC_MEMORY_ENV:-dev}"
-    export BASIC_MEMORY_HOME="$TMP_PROJECT/home-root"
-    export BASIC_MEMORY_CONFIG_DIR="$TMP_CONFIG"
-    export BASIC_MEMORY_NO_PROMOS=1
-    export BASIC_MEMORY_LOG_LEVEL="${BASIC_MEMORY_LOG_LEVEL:-INFO}"
-    export BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED="${BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED:-false}"
-    export BASIC_MEMORY_LOGFIRE_ENABLED="${BASIC_MEMORY_LOGFIRE_ENABLED:-true}"
-    export BASIC_MEMORY_LOGFIRE_ENVIRONMENT="${BASIC_MEMORY_LOGFIRE_ENVIRONMENT:-telemetry-smoke}"
-    if [[ -z "${BASIC_MEMORY_LOGFIRE_SEND_TO_LOGFIRE:-}" ]]; then
-        if [[ -n "${LOGFIRE_TOKEN:-}" ]]; then
-            export BASIC_MEMORY_LOGFIRE_SEND_TO_LOGFIRE=true
-        else
-            export BASIC_MEMORY_LOGFIRE_SEND_TO_LOGFIRE=false
-        fi
-    fi
-    mkdir -p "$BASIC_MEMORY_HOME"
-    echo "Telemetry smoke setup:"
-    echo "  logfire_enabled=$BASIC_MEMORY_LOGFIRE_ENABLED"
-    echo "  send_to_logfire=$BASIC_MEMORY_LOGFIRE_SEND_TO_LOGFIRE"
-    echo "  log_level=$BASIC_MEMORY_LOG_LEVEL"
-    echo "  semantic_search_enabled=$BASIC_MEMORY_SEMANTIC_SEARCH_ENABLED"
-    echo "  logfire_environment=$BASIC_MEMORY_LOGFIRE_ENVIRONMENT"
-    echo "  project_path=$TMP_PROJECT"
-    ./.venv/bin/python -m basic_memory.cli.main project add telemetry-smoke "$TMP_PROJECT" --default --local
-    ./.venv/bin/python -m basic_memory.cli.main tool write-note --title "Telemetry Smoke" --folder notes --content "hello from smoke" --project telemetry-smoke --local
-    ./.venv/bin/python -m basic_memory.cli.main tool read-note notes/telemetry-smoke --project telemetry-smoke --local
-    ./.venv/bin/python -m basic_memory.cli.main tool edit-note notes/telemetry-smoke --operation append --content $'\n\nsmoke edit line' --project telemetry-smoke --local
-    ./.venv/bin/python -m basic_memory.cli.main tool build-context notes/telemetry-smoke --project telemetry-smoke --local --page-size 5 --max-related 5
-    ./.venv/bin/python -m basic_memory.cli.main tool search-notes telemetry --project telemetry-smoke --local
-    ./.venv/bin/python -m basic_memory.cli.main doctor --local
-    echo ""
-    echo "Telemetry smoke complete."
-    echo "Search Logfire for:"
-    echo "  service_name: basic-memory-cli"
-    echo "  environment: $BASIC_MEMORY_LOGFIRE_ENVIRONMENT"
-    echo "  span names: mcp.tool.write_note, mcp.tool.read_note, mcp.tool.edit_note, mcp.tool.build_context, mcp.tool.search_notes, sync.project.run"
-

 # Update all dependencies to latest versions
 update-deps:
@@ -258,9 +192,6 @@ update-deps:
 # Run all code quality checks and tests
 check: lint format typecheck test

-# Run all code quality checks and all test suites, including semantic benchmarks
-check-all: lint format typecheck test test-semantic
-
 # Generate Alembic migration with descriptive message
 migration message:
    cd src/basic_memory/alembic && alembic revision --autogenerate -m "{{message}}"
@@ -54,22 +54,6 @@ Or for a one-time sync:
 basic-memory sync
 ```

-### 4. Updating Basic Memory
-
-Basic Memory supports automatic updates by default for `uv tool` and Homebrew installs.
-
-For manual checks and upgrades:
-
-```bash
-# Check now and install if supported
-bm update
-
-# Check only, do not install
-bm update --check
-```
-
-To disable automatic updates, set `"auto_update": false` in `~/.basic-memory/config.json`.
-
 ## Configuration Options

 ### Custom Directory
@@ -141,4 +125,4 @@ If you encounter issues:
   cat ~/.basic-memory/basic-memory.log
   ```

-For more detailed information, refer to the [full documentation](https://docs.basicmemory.com/).
+For more detailed information, refer to the [full documentation](https://memory.basicmachines.co/).
@@ -29,7 +29,7 @@ dependencies = [
    "alembic>=1.14.1",
    "pillow>=11.1.0",
    "pybars3>=0.9.7",
-    "fastmcp>=3.0.1,<4",
+    "fastmcp==2.12.3", # Pinned - 2.14.x breaks MCP tools visibility (issue #463)
    "pyjwt>=2.10.1",
    "python-dotenv>=1.1.0",
    "pytest-aio>=1.9.0",
@@ -44,6 +44,10 @@ dependencies = [
    "sniffio>=1.3.1",
    "anyio>=4.10.0",
    "httpx>=0.28.0",
+]
+
+[project.optional-dependencies]
+semantic = [
    "fastembed>=0.7.4",
    "sqlite-vec>=0.1.6",
    "openai>=1.100.2",
@@ -58,9 +62,6 @@ Documentation = "https://github.com/basicmachines-co/basic-memory#readme"
 basic-memory = "basic_memory.cli.main:app"
 bm = "basic_memory.cli.main:app"

-[project.optional-dependencies]
-telemetry = ["logfire>=4.19.0"]
-
 [build-system]
 requires = ["hatchling", "uv-dynamic-versioning>=0.7.0"]
 build-backend = "hatchling.build"
@@ -77,7 +78,6 @@ markers = [
    "postgres: Tests that run against Postgres backend (deselect with '-m \"not postgres\"')",
    "windows: Windows-specific tests (deselect with '-m \"not windows\"')",
    "smoke: Fast end-to-end smoke tests for MCP flows",
-    "semantic: Tests requiring semantic dependencies (fastembed, sqlite-vec, openai)",
 ]

 [tool.ruff]
@@ -86,7 +86,6 @@ target-version = "py312"

 [dependency-groups]
 dev = [
-    "logfire>=4.19.0",
    "gevent>=24.11.1",
    "icecream>=2.1.3",
    "pytest>=8.3.4",
@@ -100,9 +99,6 @@ dev = [
    "psycopg>=3.2.0",
    "pyright>=1.1.408",
    "pytest-testmon>=2.2.0",
-    "ty>=0.0.18",
-    "cst-lsp>=0.1.3",
-    "libcst>=1.8.6",
 ]

 [tool.hatch.version]
@@ -121,7 +117,6 @@ ignore = ["test/"]
 defineConstant = { DEBUG = true }
 reportMissingImports = "error"
 reportMissingTypeStubs = false
-reportUnusedImport = "none"
 pythonVersion = "3.12"


@@ -6,12 +6,12 @@
    "url": "https://github.com/basicmachines-co/basic-memory.git",
    "source": "github"
  },
-  "version": "0.20.3",
+  "version": "0.18.3",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "basic-memory",
-      "version": "0.20.3",
+      "version": "0.18.3",
      "runtimeHint": "uvx",
      "runtimeArguments": [
        {"type": "positional", "value": "basic-memory"},
@@ -1,7 +1,7 @@
 """basic-memory - Local-first knowledge management combining Zettelkasten with knowledge graphs"""

 # Package version - updated by release automation
-__version__ = "0.20.3"
+__version__ = "0.18.3"

 # API version for FastAPI - independent of package version
 __api_version__ = "v0"
@@ -1,29 +0,0 @@
-"""Trigger automatic semantic embedding backfill during migration.
-
-Revision ID: i2c3d4e5f6g7
-Revises: h1b2c3d4e5f6
-Create Date: 2026-02-19 00:00:00.000000
-
-"""
-
-from typing import Sequence, Union
-
-# revision identifiers, used by Alembic.
-revision: str = "i2c3d4e5f6g7"
-down_revision: Union[str, None] = "h1b2c3d4e5f6"
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    """No schema change.
-
-    Trigger: this revision is newly applied.
-    Why: db.run_migrations() detects this revision transition and runs the existing
-    sync_entity_vectors() pipeline to backfill semantic embeddings automatically.
-    Outcome: users no longer need to run `bm reindex --embeddings` after upgrading.
-    """
-
-
-def downgrade() -> None:
-    """No-op downgrade."""
@@ -1,164 +0,0 @@
-"""Rename entity_type column to note_type
-
-Revision ID: j3d4e5f6g7h8
-Revises: i2c3d4e5f6g7
-Create Date: 2026-02-22 12:00:00.000000
-
-"""
-
-from typing import Sequence, Union
-
-from alembic import op
-from sqlalchemy import text
-
-# revision identifiers, used by Alembic.
-revision: str = "j3d4e5f6g7h8"
-down_revision: Union[str, None] = "i2c3d4e5f6g7"
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def table_exists(connection, table_name: str) -> bool:
-    """Check if a table exists (idempotent migration support)."""
-    if connection.dialect.name == "postgresql":
-        result = connection.execute(
-            text("SELECT 1 FROM information_schema.tables WHERE table_name = :table_name"),
-            {"table_name": table_name},
-        )
-        return result.fetchone() is not None
-    # SQLite
-    result = connection.execute(
-        text("SELECT 1 FROM sqlite_master WHERE type='table' AND name = :table_name"),
-        {"table_name": table_name},
-    )
-    return result.fetchone() is not None
-
-
-def index_exists(connection, index_name: str) -> bool:
-    """Check if an index exists (idempotent migration support)."""
-    if connection.dialect.name == "postgresql":
-        result = connection.execute(
-            text("SELECT 1 FROM pg_indexes WHERE indexname = :index_name"),
-            {"index_name": index_name},
-        )
-        return result.fetchone() is not None
-    # SQLite
-    result = connection.execute(
-        text("SELECT 1 FROM sqlite_master WHERE type='index' AND name = :index_name"),
-        {"index_name": index_name},
-    )
-    return result.fetchone() is not None
-
-
-def column_exists(connection, table: str, column: str) -> bool:
-    """Check if a column exists in a table (idempotent migration support)."""
-    if connection.dialect.name == "postgresql":
-        result = connection.execute(
-            text(
-                "SELECT 1 FROM information_schema.columns "
-                "WHERE table_name = :table AND column_name = :column"
-            ),
-            {"table": table, "column": column},
-        )
-        return result.fetchone() is not None
-    # SQLite
-    result = connection.execute(text(f"PRAGMA table_info({table})"))
-    columns = [row[1] for row in result]
-    return column in columns
-
-
-def upgrade() -> None:
-    """Rename entity_type → note_type on the entity table."""
-    connection = op.get_bind()
-    dialect = connection.dialect.name
-
-    # Skip if already migrated (idempotent)
-    if column_exists(connection, "entity", "note_type"):
-        return
-
-    if dialect == "postgresql":
-        # Postgres supports direct column rename
-        op.execute("ALTER TABLE entity RENAME COLUMN entity_type TO note_type")
-
-        # Recreate the index with new name
-        op.execute("DROP INDEX IF EXISTS ix_entity_type")
-        op.execute("CREATE INDEX ix_note_type ON entity (note_type)")
-    else:
-        # SQLite 3.25.0+ supports ALTER TABLE RENAME COLUMN directly.
-        # Avoids batch_alter_table which fails on tables with generated columns
-        # (duplicate column name error when recreating the table).
-        op.execute("ALTER TABLE entity RENAME COLUMN entity_type TO note_type")
-
-        # Recreate the index with new name
-        if index_exists(connection, "ix_entity_type"):
-            op.drop_index("ix_entity_type", table_name="entity")
-        op.create_index("ix_note_type", "entity", ["note_type"])
-
-    # Update search index metadata: rename entity_type → note_type in JSON
-    # This updates the stored metadata so search results use the new field name
-    # Guard: search_index may not exist on a fresh DB (created by an earlier migration)
-    if not table_exists(connection, "search_index"):
-        return
-
-    if dialect == "postgresql":
-        op.execute(
-            text("""
-                UPDATE search_index
-                SET metadata = metadata - 'entity_type' || jsonb_build_object('note_type', metadata->'entity_type')
-                WHERE metadata ? 'entity_type'
-            """)
-        )
-    else:
-        op.execute(
-            text("""
-                UPDATE search_index
-                SET metadata = json_set(
-                    json_remove(metadata, '$.entity_type'),
-                    '$.note_type',
-                    json_extract(metadata, '$.entity_type')
-                )
-                WHERE json_extract(metadata, '$.entity_type') IS NOT NULL
-            """)
-        )
-
-
-def downgrade() -> None:
-    """Rename note_type → entity_type on the entity table."""
-    connection = op.get_bind()
-    dialect = connection.dialect.name
-
-    if dialect == "postgresql":
-        op.execute("ALTER TABLE entity RENAME COLUMN note_type TO entity_type")
-        op.execute("DROP INDEX IF EXISTS ix_note_type")
-        op.execute("CREATE INDEX ix_entity_type ON entity (entity_type)")
-    else:
-        op.execute("ALTER TABLE entity RENAME COLUMN note_type TO entity_type")
-
-        if index_exists(connection, "ix_note_type"):
-            op.drop_index("ix_note_type", table_name="entity")
-        op.create_index("ix_entity_type", "entity", ["entity_type"])
-
-    # Revert search index metadata
-    if not table_exists(connection, "search_index"):
-        return
-
-    if dialect == "postgresql":
-        op.execute(
-            text("""
-                UPDATE search_index
-                SET metadata = metadata - 'note_type' || jsonb_build_object('entity_type', metadata->'note_type')
-                WHERE metadata ? 'note_type'
-            """)
-        )
-    else:
-        op.execute(
-            text("""
-                UPDATE search_index
-                SET metadata = json_set(
-                    json_remove(metadata, '$.note_type'),
-                    '$.entity_type',
-                    json_extract(metadata, '$.note_type')
-                )
-                WHERE json_extract(metadata, '$.note_type') IS NOT NULL
-            """)
-        )
@@ -1,74 +0,0 @@
-"""Add created_by and last_updated_by columns to entity table.
-
-Revision ID: k4e5f6g7h8i9
-Revises: j3d4e5f6g7h8
-Create Date: 2026-02-23 00:00:00.000000
-
-These columns track which cloud user created and last modified each entity.
-Both are nullable — NULL for local/CLI usage and existing entities.
-"""
-
-from typing import Sequence, Union
-
-import sqlalchemy as sa
-from alembic import op
-from sqlalchemy import text
-
-# revision identifiers, used by Alembic.
-revision: str = "k4e5f6g7h8i9"
-down_revision: Union[str, None] = "j3d4e5f6g7h8"
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def column_exists(connection, table: str, column: str) -> bool:
-    """Check if a column exists in a table (idempotent migration support)."""
-    if connection.dialect.name == "postgresql":
-        result = connection.execute(
-            text(
-                "SELECT 1 FROM information_schema.columns "
-                "WHERE table_name = :table AND column_name = :column"
-            ),
-            {"table": table, "column": column},
-        )
-        return result.fetchone() is not None
-    else:
-        # SQLite
-        result = connection.execute(text(f"PRAGMA table_info({table})"))
-        columns = [row[1] for row in result]
-        return column in columns
-
-
-def upgrade() -> None:
-    """Add created_by and last_updated_by columns to entity table.
-
-    Both columns are nullable strings that store cloud user_profile_id UUIDs.
-    No data backfill — existing rows get NULL.
-    """
-    connection = op.get_bind()
-
-    if not column_exists(connection, "entity", "created_by"):
-        op.add_column("entity", sa.Column("created_by", sa.String(), nullable=True))
-
-    if not column_exists(connection, "entity", "last_updated_by"):
-        op.add_column("entity", sa.Column("last_updated_by", sa.String(), nullable=True))
-
-
-def downgrade() -> None:
-    """Remove created_by and last_updated_by columns from entity table."""
-    connection = op.get_bind()
-    dialect = connection.dialect.name
-
-    if column_exists(connection, "entity", "last_updated_by"):
-        if dialect == "postgresql":
-            op.drop_column("entity", "last_updated_by")
-        else:
-            with op.batch_alter_table("entity") as batch_op:
-                batch_op.drop_column("last_updated_by")
-
-    if column_exists(connection, "entity", "created_by"):
-        if dialect == "postgresql":
-            op.drop_column("entity", "created_by")
-        else:
-            with op.batch_alter_table("entity") as batch_op:
-                batch_op.drop_column("created_by")
@@ -25,7 +25,6 @@ from basic_memory.api.v2.routers.project_router import (
    list_projects,
    synchronize_projects,
 )
-from basic_memory import telemetry
 from basic_memory.config import init_api_logging
 from basic_memory.services.exceptions import EntityAlreadyExistsError
 from basic_memory.services.initialization import initialize_app
@@ -44,39 +43,30 @@ async def lifespan(app: FastAPI):  # pragma: no cover
    set_container(container)
    app.state.container = container

-    with telemetry.operation(
-        "api.lifecycle.startup",
-        entrypoint="api",
-        mode=container.mode.name.lower(),
-    ):
-        logger.info(f"Starting Basic Memory API (mode={container.mode.name})")
+    logger.info(f"Starting Basic Memory API (mode={container.mode.name})")

-        await initialize_app(container.config)
+    await initialize_app(container.config)

-        # Cache database connections in app state for performance
-        logger.info("Initializing database and caching connections...")
-        engine, session_maker = await container.init_database()
-        app.state.engine = engine
-        app.state.session_maker = session_maker
-        logger.info("Database connections cached in app state")
+    # Cache database connections in app state for performance
+    logger.info("Initializing database and caching connections...")
+    engine, session_maker = await container.init_database()
+    app.state.engine = engine
+    app.state.session_maker = session_maker
+    logger.info("Database connections cached in app state")

-        # Create and start sync coordinator (lifecycle centralized in coordinator)
-        sync_coordinator = container.create_sync_coordinator()
-        await sync_coordinator.start()
-        app.state.sync_coordinator = sync_coordinator
+    # Create and start sync coordinator (lifecycle centralized in coordinator)
+    sync_coordinator = container.create_sync_coordinator()
+    await sync_coordinator.start()
+    app.state.sync_coordinator = sync_coordinator

    # Proceed with startup
    yield

    # Shutdown - coordinator handles clean task cancellation
-    with telemetry.operation(
-        "api.lifecycle.shutdown",
-        entrypoint="api",
-        mode=container.mode.name.lower(),
-    ):
-        logger.info("Shutting down Basic Memory API")
-        await sync_coordinator.stop()
-        await container.shutdown_database()
+    logger.info("Shutting down Basic Memory API")
+    await sync_coordinator.stop()
+
+    await container.shutdown_database()


 # Initialize FastAPI app
@@ -47,6 +47,7 @@ class ApiContainer:
        """
        config = ConfigManager().config
        mode = resolve_runtime_mode(
+            cloud_mode_enabled=config.cloud_mode_enabled,
            is_test_env=config.is_test_env,
        )
        return cls(config=config, mode=mode)
@@ -13,7 +13,6 @@ Key improvements:
 from fastapi import APIRouter, HTTPException, BackgroundTasks, Depends, Response, Path, Query
 from loguru import logger

-from basic_memory import telemetry
 from basic_memory.deps import (
    EntityServiceV2ExternalDep,
    SearchServiceV2ExternalDep,
@@ -21,7 +20,6 @@ from basic_memory.deps import (
    ProjectConfigV2ExternalDep,
    AppConfigDep,
    EntityRepositoryV2ExternalDep,
-    RelationRepositoryV2ExternalDep,
    ProjectExternalIdPathDep,
    TaskSchedulerDep,
    FileServiceV2ExternalDep,
@@ -33,9 +31,6 @@ from basic_memory.schemas.v2 import (
    EntityResolveRequest,
    EntityResolveResponse,
    EntityResponseV2,
-    GraphEdge,
-    GraphNode,
-    GraphResponse,
    MoveEntityRequestV2,
    MoveDirectoryRequestV2,
    DeleteDirectoryRequestV2,
@@ -61,50 +56,6 @@ def _schedule_vector_sync_if_enabled(
        )


-## Graph endpoint
-
-
-@router.get("/graph", response_model=GraphResponse)
-async def get_graph(
-    project_id: ProjectExternalIdPathDep,
-    entity_repository: EntityRepositoryV2ExternalDep,
-    relation_repository: RelationRepositoryV2ExternalDep,
-) -> GraphResponse:
-    """Return all entities and resolved relations for knowledge graph visualization.
-
-    Returns a flat node/edge structure optimized for rendering with graph libraries.
-    Only includes resolved relations (where to_id is not null).
-    """
-    logger.info("API v2 request: get_graph")
-
-    # Fetch all entities for this project
-    entities = await entity_repository.find_all(use_load_options=False)
-    nodes = [
-        GraphNode(
-            external_id=entity.external_id,
-            title=entity.title,
-            note_type=entity.note_type,
-            file_path=entity.file_path,
-        )
-        for entity in entities
-    ]
-
-    # Fetch all resolved relations (to_id is not null) with eager-loaded entities
-    relations = await relation_repository.find_all()
-    edges = [
-        GraphEdge(
-            from_id=relation.from_entity.external_id,
-            to_id=relation.to_entity.external_id,
-            relation_type=relation.relation_type,
-        )
-        for relation in relations
-        if relation.to_entity is not None
-    ]
-
-    logger.info(f"API v2 response: graph with {len(nodes)} nodes and {len(edges)} edges")
-    return GraphResponse(nodes=nodes, edges=edges)
-
-
 ## Resolution endpoint


@@ -143,66 +94,47 @@ async def resolve_identifier(
            "resolution_method": "permalink"
        }
    """
-    with telemetry.operation(
-        "api.request.knowledge.resolve_entity",
-        entrypoint="api",
-        domain="knowledge",
-        action="resolve_entity",
-    ):
-        logger.info(f"API v2 request: resolve_identifier for '{data.identifier}'")
+    logger.info(f"API v2 request: resolve_identifier for '{data.identifier}'")

-        with telemetry.scope(
-            "api.knowledge.resolve_entity.lookup_entity",
-            domain="knowledge",
-            action="resolve_entity",
-            phase="lookup_entity",
-        ):
-            entity = await entity_repository.get_by_external_id(data.identifier)
-        resolution_method = "external_id" if entity else "search"
+    # Try to resolve by external_id first
+    entity = await entity_repository.get_by_external_id(data.identifier)
+    resolution_method = "external_id" if entity else "search"

-        if not entity:
-            with telemetry.scope(
-                "api.knowledge.resolve_entity.resolve_link",
-                domain="knowledge",
-                action="resolve_entity",
-                phase="resolve_link",
-            ):
-                entity = await link_resolver.resolve_link(
-                    data.identifier, source_path=data.source_path, strict=data.strict
-                )
-            if entity:
-                if entity.permalink == data.identifier:
-                    resolution_method = "permalink"
-                elif entity.title == data.identifier:
-                    resolution_method = "title"
-                elif entity.file_path == data.identifier:
-                    resolution_method = "path"
-                else:
-                    resolution_method = "search"
-
-        if not entity:
-            raise HTTPException(status_code=404, detail=f"Entity not found: '{data.identifier}'")
-
-        with telemetry.scope(
-            "api.knowledge.resolve_entity.shape_response",
-            domain="knowledge",
-            action="resolve_entity",
-            phase="shape_response",
-        ):
-            result = EntityResolveResponse(
-                external_id=entity.external_id,
-                entity_id=entity.id,
-                permalink=entity.permalink,
-                file_path=entity.file_path,
-                title=entity.title,
-                resolution_method=resolution_method,
-            )
-
-        logger.debug(
-            f"API v2 response: resolved '{data.identifier}' to external_id={result.external_id} via {resolution_method}"
+    # If not found by external_id, try other resolution methods
+    # Pass source_path for context-aware resolution (prefers notes closer to source)
+    # Pass strict to control fuzzy search fallback (default False allows fuzzy matching)
+    if not entity:
+        entity = await link_resolver.resolve_link(
+            data.identifier, source_path=data.source_path, strict=data.strict
        )
+        if entity:
+            # Determine resolution method
+            if entity.permalink == data.identifier:
+                resolution_method = "permalink"
+            elif entity.title == data.identifier:
+                resolution_method = "title"
+            elif entity.file_path == data.identifier:
+                resolution_method = "path"
+            else:
+                resolution_method = "search"

-        return result
+    if not entity:
+        raise HTTPException(status_code=404, detail=f"Entity not found: '{data.identifier}'")
+
+    result = EntityResolveResponse(
+        external_id=entity.external_id,
+        entity_id=entity.id,
+        permalink=entity.permalink,
+        file_path=entity.file_path,
+        title=entity.title,
+        resolution_method=resolution_method,
+    )
+
+    logger.info(
+        f"API v2 response: resolved '{data.identifier}' to external_id={result.external_id} via {resolution_method}"
+    )
+
+    return result


 ## Read endpoints
@@ -228,36 +160,18 @@ async def get_entity_by_id(
    Raises:
        HTTPException: 404 if entity not found
    """
-    with telemetry.operation(
-        "api.request.knowledge.get_entity",
-        entrypoint="api",
-        domain="knowledge",
-        action="get_entity",
-    ):
-        logger.info(f"API v2 request: get_entity_by_id entity_id={entity_id}")
+    logger.info(f"API v2 request: get_entity_by_id entity_id={entity_id}")

-        with telemetry.scope(
-            "api.knowledge.get_entity.load_entity",
-            domain="knowledge",
-            action="get_entity",
-            phase="load_entity",
-        ):
-            entity = await entity_repository.get_by_external_id(entity_id)
-        if not entity:
-            raise HTTPException(
-                status_code=404, detail=f"Entity with external_id '{entity_id}' not found"
-            )
+    entity = await entity_repository.get_by_external_id(entity_id)
+    if not entity:
+        raise HTTPException(
+            status_code=404, detail=f"Entity with external_id '{entity_id}' not found"
+        )

-        with telemetry.scope(
-            "api.knowledge.get_entity.shape_response",
-            domain="knowledge",
-            action="get_entity",
-            phase="shape_response",
-        ):
-            result = EntityResponseV2.model_validate(entity)
-        logger.info(f"API v2 response: external_id={entity_id}, title='{result.title}'")
+    result = EntityResponseV2.model_validate(entity)
+    logger.info(f"API v2 response: external_id={entity_id}, title='{result.title}'")

-        return result
+    return result


 ## Create endpoints
@@ -286,92 +200,39 @@ async def create_entity(
    Returns:
        Created entity with generated external_id (UUID) and file content
    """
-    with telemetry.operation(
-        "api.request.knowledge.create_entity",
-        entrypoint="api",
-        domain="knowledge",
-        action="create_entity",
-        fast=fast,
-    ):
-        logger.info(
-            "API v2 request", endpoint="create_entity", note_type=data.note_type, title=data.title
+    logger.info(
+        "API v2 request", endpoint="create_entity", entity_type=data.entity_type, title=data.title
+    )
+
+    if fast:
+        entity = await entity_service.fast_write_entity(data)
+        task_scheduler.schedule(
+            "reindex_entity",
+            entity_id=entity.id,
+            project_id=project_id,
+        )
+    else:
+        entity = await entity_service.create_entity(data)
+        await search_service.index_entity(entity)
+        _schedule_vector_sync_if_enabled(
+            task_scheduler=task_scheduler,
+            app_config=app_config,
+            entity_id=entity.id,
+            project_id=project_id,
        )

-        with telemetry.scope(
-            "api.knowledge.create_entity.write_entity",
-            domain="knowledge",
-            action="create_entity",
-            phase="write_entity",
-            fast=fast,
-        ):
-            if fast:
-                entity = await entity_service.fast_write_entity(data)
-                written_content = None
-                search_content = None
-            else:
-                write_result = await entity_service.create_entity_with_content(data)
-                entity = write_result.entity
-                written_content = write_result.content
-                search_content = write_result.search_content
+    result = EntityResponseV2.model_validate(entity)
+    if fast:
+        result = result.model_copy(update={"observations": [], "relations": []})

-        if fast:
-            with telemetry.scope(
-                "api.knowledge.create_entity.enqueue_reindex",
-                domain="knowledge",
-                action="create_entity",
-                phase="enqueue_reindex",
-                fast=fast,
-            ):
-                task_scheduler.schedule(
-                    "reindex_entity",
-                    entity_id=entity.id,
-                    project_id=project_id,
-                )
-        else:
-            with telemetry.scope(
-                "api.knowledge.create_entity.search_index",
-                domain="knowledge",
-                action="create_entity",
-                phase="search_index",
-            ):
-                await search_service.index_entity(entity, content=search_content)
-            with telemetry.scope(
-                "api.knowledge.create_entity.vector_sync",
-                domain="knowledge",
-                action="create_entity",
-                phase="vector_sync",
-            ):
-                _schedule_vector_sync_if_enabled(
-                    task_scheduler=task_scheduler,
-                    app_config=app_config,
-                    entity_id=entity.id,
-                    project_id=project_id,
-                )
+    # Always read and return file content
+    content = await file_service.read_file_content(entity.file_path)
+    result = result.model_copy(update={"content": content})

-        result = EntityResponseV2.model_validate(entity)
-        if fast:
-            result = result.model_copy(update={"observations": [], "relations": []})
-
-        with telemetry.scope(
-            "api.knowledge.create_entity.read_content",
-            domain="knowledge",
-            action="create_entity",
-            phase="read_content",
-            source="file" if fast else "memory",
-        ):
-            if fast:
-                content = await file_service.read_file_content(entity.file_path)
-            else:
-                # Non-fast writes already captured the markdown in memory. Reuse it here
-                # instead of re-reading the file; format_on_save is the one config that can
-                # still make the persisted file diverge because write_file only returns a checksum.
-                content = written_content
-        result = result.model_copy(update={"content": content})
-
-        logger.info(
-            f"API v2 response: endpoint='create_entity' external_id={entity.external_id}, title={result.title}, permalink={result.permalink}, status_code=201"
-        )
-        return result
+    logger.info(
+        f"API v2 response: endpoint='create_entity' external_id={entity.external_id}, title={result.title}, permalink={result.permalink}, status_code=201"
+    )
+    return result


 ## Update endpoints
@@ -406,121 +267,61 @@ async def update_entity_by_id(
    Returns:
        Updated entity with file content
    """
-    with telemetry.operation(
-        "api.request.knowledge.update_entity",
-        entrypoint="api",
-        domain="knowledge",
-        action="update_entity",
-        fast=fast,
-    ):
-        logger.info(f"API v2 request: update_entity_by_id entity_id={entity_id}")
+    logger.info(f"API v2 request: update_entity_by_id entity_id={entity_id}")

-        with telemetry.scope(
-            "api.knowledge.update_entity.load_entity",
-            domain="knowledge",
-            action="update_entity",
-            phase="load_entity",
-        ):
-            existing = await entity_repository.get_by_external_id(entity_id)
-        created = existing is None
+    # Check if entity exists (external_id is the source of truth for v2)
+    existing = await entity_repository.get_by_external_id(entity_id)
+    created = existing is None

-        with telemetry.scope(
-            "api.knowledge.update_entity.write_entity",
-            domain="knowledge",
-            action="update_entity",
-            phase="write_entity",
-            fast=fast,
-        ):
-            if fast:
-                entity = await entity_service.fast_write_entity(data, external_id=entity_id)
-                written_content = None
-                search_content = None
-                response.status_code = 200 if existing else 201
-            else:
-                if existing:
-                    write_result = await entity_service.update_entity_with_content(existing, data)
-                    entity = write_result.entity
-                    written_content = write_result.content
-                    search_content = write_result.search_content
-                    response.status_code = 200
-                else:
-                    write_result = await entity_service.create_entity_with_content(data)
-                    entity = write_result.entity
-                    written_content = write_result.content
-                    search_content = write_result.search_content
-                    if entity.external_id != entity_id:
-                        entity = await entity_repository.update(
-                            entity.id,
-                            {"external_id": entity_id},
-                        )
-                        # external_id fixup only changes the DB row. The file content is unchanged,
-                        # so the markdown captured during the write remains valid downstream.
-                        if not entity:
-                            raise HTTPException(
-                                status_code=404,
-                                detail=f"Entity with external_id '{entity_id}' not found",
-                            )
-                    response.status_code = 201
-
-        if fast:
-            with telemetry.scope(
-                "api.knowledge.update_entity.enqueue_reindex",
-                domain="knowledge",
-                action="update_entity",
-                phase="enqueue_reindex",
-                fast=fast,
-            ):
-                task_scheduler.schedule(
-                    "reindex_entity",
-                    entity_id=entity.id,
-                    project_id=project_id,
-                    resolve_relations=created,
-                )
-        else:
-            with telemetry.scope(
-                "api.knowledge.update_entity.search_index",
-                domain="knowledge",
-                action="update_entity",
-                phase="search_index",
-            ):
-                await search_service.index_entity(entity, content=search_content)
-            with telemetry.scope(
-                "api.knowledge.update_entity.vector_sync",
-                domain="knowledge",
-                action="update_entity",
-                phase="vector_sync",
-            ):
-                _schedule_vector_sync_if_enabled(
-                    task_scheduler=task_scheduler,
-                    app_config=app_config,
-                    entity_id=entity.id,
-                    project_id=project_id,
-                )
-
-        result = EntityResponseV2.model_validate(entity)
-        if fast:
-            result = result.model_copy(update={"observations": [], "relations": []})
-
-        with telemetry.scope(
-            "api.knowledge.update_entity.read_content",
-            domain="knowledge",
-            action="update_entity",
-            phase="read_content",
-            source="file" if fast else "memory",
-        ):
-            if fast:
-                content = await file_service.read_file_content(entity.file_path)
-            else:
-                # Non-fast writes already captured the markdown in memory. Reuse it here
-                # instead of re-reading the file; format_on_save is the one config that can
-                # still make the persisted file diverge because write_file only returns a checksum.
-                content = written_content
-        result = result.model_copy(update={"content": content})
-
-        logger.info(
-            f"API v2 response: external_id={entity_id}, created={created}, status_code={response.status_code}"
+    if fast:
+        entity = await entity_service.fast_write_entity(data, external_id=entity_id)
+        response.status_code = 200 if existing else 201
+        task_scheduler.schedule(
+            "reindex_entity",
+            entity_id=entity.id,
+            project_id=project_id,
+            resolve_relations=created,
        )
-        return result
+    else:
+        if existing:
+            # Update the existing entity in-place to avoid path-based duplication
+            entity = await entity_service.update_entity(existing, data)
+            response.status_code = 200
+        else:
+            # Create new entity, then bind external_id to the requested UUID
+            entity = await entity_service.create_entity(data)
+            if entity.external_id != entity_id:
+                entity = await entity_repository.update(
+                    entity.id,
+                    {"external_id": entity_id},
+                )
+                if not entity:
+                    raise HTTPException(
+                        status_code=404,
+                        detail=f"Entity with external_id '{entity_id}' not found",
+                    )
+            response.status_code = 201
+
+        await search_service.index_entity(entity)
+        _schedule_vector_sync_if_enabled(
+            task_scheduler=task_scheduler,
+            app_config=app_config,
+            entity_id=entity.id,
+            project_id=project_id,
+        )
+
+    result = EntityResponseV2.model_validate(entity)
+    if fast:
+        result = result.model_copy(update={"observations": [], "relations": []})
+
+    # Always read and return file content
+    content = await file_service.read_file_content(entity.file_path)
+    result = result.model_copy(update={"content": content})
+
+    logger.info(
+        f"API v2 response: external_id={entity_id}, created={created}, status_code={response.status_code}"
+    )
+    return result


@router.patch("/entities/{entity_id}", response_model=EntityResponseV2)
@@ -552,125 +353,69 @@ async def edit_entity_by_id(
    Raises:
        HTTPException: 404 if entity not found, 400 if edit fails
    """
-    with telemetry.operation(
-        "api.request.knowledge.edit_entity",
-        entrypoint="api",
-        domain="knowledge",
-        action="edit_entity",
-        fast=fast,
-    ):
-        logger.info(
-            f"API v2 request: edit_entity_by_id entity_id={entity_id}, operation='{data.operation}'"
+    logger.info(
+        f"API v2 request: edit_entity_by_id entity_id={entity_id}, operation='{data.operation}'"
+    )
+
+    # Verify entity exists
+    entity = await entity_repository.get_by_external_id(entity_id)
+    if not entity:  # pragma: no cover
+        raise HTTPException(
+            status_code=404, detail=f"Entity with external_id '{entity_id}' not found"
        )

-        with telemetry.scope(
-            "api.knowledge.edit_entity.load_entity",
-            domain="knowledge",
-            action="edit_entity",
-            phase="load_entity",
-        ):
-            entity = await entity_repository.get_by_external_id(entity_id)
-        if not entity:  # pragma: no cover
-            raise HTTPException(
-                status_code=404, detail=f"Entity with external_id '{entity_id}' not found"
+    try:
+        if fast:
+            updated_entity = await entity_service.fast_edit_entity(
+                entity=entity,
+                operation=data.operation,
+                content=data.content,
+                section=data.section,
+                find_text=data.find_text,
+                expected_replacements=data.expected_replacements,
+            )
+            task_scheduler.schedule(
+                "reindex_entity",
+                entity_id=updated_entity.id,
+                project_id=project_id,
+            )
+        else:
+            # Edit using the entity's permalink or path
+            identifier = entity.permalink or entity.file_path
+            updated_entity = await entity_service.edit_entity(
+                identifier=identifier,
+                operation=data.operation,
+                content=data.content,
+                section=data.section,
+                find_text=data.find_text,
+                expected_replacements=data.expected_replacements,
            )

-        try:
-            with telemetry.scope(
-                "api.knowledge.edit_entity.write_entity",
-                domain="knowledge",
-                action="edit_entity",
-                phase="write_entity",
-                fast=fast,
-            ):
-                if fast:
-                    updated_entity = await entity_service.fast_edit_entity(
-                        entity=entity,
-                        operation=data.operation,
-                        content=data.content,
-                        section=data.section,
-                        find_text=data.find_text,
-                        expected_replacements=data.expected_replacements,
-                    )
-                    written_content = None
-                    search_content = None
-                else:
-                    identifier = entity.permalink or entity.file_path
-                    write_result = await entity_service.edit_entity_with_content(
-                        identifier=identifier,
-                        operation=data.operation,
-                        content=data.content,
-                        section=data.section,
-                        find_text=data.find_text,
-                        expected_replacements=data.expected_replacements,
-                    )
-                    updated_entity = write_result.entity
-                    written_content = write_result.content
-                    search_content = write_result.search_content
-
-            if fast:
-                with telemetry.scope(
-                    "api.knowledge.edit_entity.enqueue_reindex",
-                    domain="knowledge",
-                    action="edit_entity",
-                    phase="enqueue_reindex",
-                    fast=fast,
-                ):
-                    task_scheduler.schedule(
-                        "reindex_entity",
-                        entity_id=updated_entity.id,
-                        project_id=project_id,
-                    )
-            else:
-                with telemetry.scope(
-                    "api.knowledge.edit_entity.search_index",
-                    domain="knowledge",
-                    action="edit_entity",
-                    phase="search_index",
-                ):
-                    await search_service.index_entity(updated_entity, content=search_content)
-                with telemetry.scope(
-                    "api.knowledge.edit_entity.vector_sync",
-                    domain="knowledge",
-                    action="edit_entity",
-                    phase="vector_sync",
-                ):
-                    _schedule_vector_sync_if_enabled(
-                        task_scheduler=task_scheduler,
-                        app_config=app_config,
-                        entity_id=updated_entity.id,
-                        project_id=project_id,
-                    )
-
-            result = EntityResponseV2.model_validate(updated_entity)
-            if fast:
-                result = result.model_copy(update={"observations": [], "relations": []})
-
-            with telemetry.scope(
-                "api.knowledge.edit_entity.read_content",
-                domain="knowledge",
-                action="edit_entity",
-                phase="read_content",
-                source="file" if fast else "memory",
-            ):
-                if fast:
-                    content = await file_service.read_file_content(updated_entity.file_path)
-                else:
-                    # Non-fast writes already captured the markdown in memory. Reuse it here
-                    # instead of re-reading the file; format_on_save is the one config that can
-                    # still make the persisted file diverge because write_file only returns a checksum.
-                    content = written_content
-            result = result.model_copy(update={"content": content})
-
-            logger.info(
-                f"API v2 response: external_id={entity_id}, operation='{data.operation}', status_code=200"
+            await search_service.index_entity(updated_entity)
+            _schedule_vector_sync_if_enabled(
+                task_scheduler=task_scheduler,
+                app_config=app_config,
+                entity_id=updated_entity.id,
+                project_id=project_id,
            )

-            return result
+        result = EntityResponseV2.model_validate(updated_entity)
+        if fast:
+            result = result.model_copy(update={"observations": [], "relations": []})

-        except Exception as e:
-            logger.error(f"Error editing entity {entity_id}: {e}")
-            raise HTTPException(status_code=400, detail=str(e))
+        # Always read and return file content
+        content = await file_service.read_file_content(updated_entity.file_path)
+        result = result.model_copy(update={"content": content})
+
+        logger.info(
+            f"API v2 response: external_id={entity_id}, operation='{data.operation}', status_code=200"
+        )
+
+        return result
+
+    except Exception as e:
+        logger.error(f"Error editing entity {entity_id}: {e}")
+        raise HTTPException(status_code=400, detail=str(e))


 ## Delete endpoints
@@ -9,7 +9,6 @@ from typing import Annotated, Optional
 from fastapi import APIRouter, Query, Path
 from loguru import logger

-from basic_memory import telemetry
 from basic_memory.deps import ContextServiceV2ExternalDep, EntityRepositoryV2ExternalDep
 from basic_memory.schemas.base import TimeFrame, parse_timeframe
 from basic_memory.schemas.memory import (
@@ -51,55 +50,30 @@ async def recent(
    Returns:
        GraphContext with recent activity and related entities
    """
-    with telemetry.operation(
-        "api.request.memory.recent_activity",
-        entrypoint="api",
-        domain="memory",
-        action="recent_activity",
-        page=page,
-        page_size=page_size,
-    ):
-        types = (
-            [SearchItemType.ENTITY, SearchItemType.RELATION, SearchItemType.OBSERVATION]
-            if not type
-            else type
-        )
+    # return all types by default
+    types = (
+        [SearchItemType.ENTITY, SearchItemType.RELATION, SearchItemType.OBSERVATION]
+        if not type
+        else type
+    )

-        logger.debug(
-            f"V2 Getting recent context for project {project_id}: `{types}` depth: `{depth}` timeframe: `{timeframe}` page: `{page}` page_size: `{page_size}` max_related: `{max_related}`"
-        )
-        since = parse_timeframe(timeframe)
-        limit = page_size
-        offset = (page - 1) * page_size
+    logger.debug(
+        f"V2 Getting recent context for project {project_id}: `{types}` depth: `{depth}` timeframe: `{timeframe}` page: `{page}` page_size: `{page_size}` max_related: `{max_related}`"
+    )
+    # Parse timeframe
+    since = parse_timeframe(timeframe)
+    limit = page_size
+    offset = (page - 1) * page_size

-        with telemetry.scope(
-            "api.memory.recent_activity.build_context",
-            domain="memory",
-            action="recent_activity",
-            phase="build_context",
-            page=page,
-            page_size=page_size,
-        ):
-            context = await context_service.build_context(
-                types=types,
-                depth=depth,
-                since=since,
-                limit=limit,
-                offset=offset,
-                max_related=max_related,
-            )
-        with telemetry.scope(
-            "api.memory.recent_activity.shape_response",
-            domain="memory",
-            action="recent_activity",
-            phase="shape_response",
-            result_count=len(context.results),
-        ):
-            recent_context = await to_graph_context(
-                context, entity_repository=entity_repository, page=page, page_size=page_size
-            )
-        logger.debug(f"V2 Recent context: {recent_context.model_dump_json()}")
-        return recent_context
+    # Build context
+    context = await context_service.build_context(
+        types=types, depth=depth, since=since, limit=limit, offset=offset, max_related=max_related
+    )
+    recent_context = await to_graph_context(
+        context, entity_repository=entity_repository, page=page, page_size=page_size
+    )
+    logger.debug(f"V2 Recent context: {recent_context.model_dump_json()}")
+    return recent_context


 # get_memory_context needs to be declared last so other paths can match
@@ -137,46 +111,20 @@ async def get_memory_context(
    Returns:
        GraphContext with the entity and its related context
    """
-    with telemetry.operation(
-        "api.request.memory.build_context",
-        entrypoint="api",
-        domain="memory",
-        action="build_context",
-        page=page,
-        page_size=page_size,
-    ):
-        logger.debug(
-            f"V2 Getting context for project {project_id}, URI: `{uri}` depth: `{depth}` timeframe: `{timeframe}` page: `{page}` page_size: `{page_size}` max_related: `{max_related}`"
-        )
-        memory_url = normalize_memory_url(uri)
+    logger.debug(
+        f"V2 Getting context for project {project_id}, URI: `{uri}` depth: `{depth}` timeframe: `{timeframe}` page: `{page}` page_size: `{page_size}` max_related: `{max_related}`"
+    )
+    memory_url = normalize_memory_url(uri)

-        since = parse_timeframe(timeframe) if timeframe else None
-        limit = page_size
-        offset = (page - 1) * page_size
+    # Parse timeframe
+    since = parse_timeframe(timeframe) if timeframe else None
+    limit = page_size
+    offset = (page - 1) * page_size

-        with telemetry.scope(
-            "api.memory.build_context.build_context",
-            domain="memory",
-            action="build_context",
-            phase="build_context",
-            page=page,
-            page_size=page_size,
-        ):
-            context = await context_service.build_context(
-                memory_url,
-                depth=depth,
-                since=since,
-                limit=limit,
-                offset=offset,
-                max_related=max_related,
-            )
-        with telemetry.scope(
-            "api.memory.build_context.shape_response",
-            domain="memory",
-            action="build_context",
-            phase="shape_response",
-            result_count=len(context.results),
-        ):
-            return await to_graph_context(
-                context, entity_repository=entity_repository, page=page, page_size=page_size
-            )
+    # Build context
+    context = await context_service.build_context(
+        memory_url, depth=depth, since=since, limit=limit, offset=offset, max_related=max_related
+    )
+    return await to_graph_context(
+        context, entity_repository=entity_repository, page=page, page_size=page_size
+    )
@@ -48,7 +48,7 @@ async def list_projects(
        A list of all projects with metadata
    """
    projects = await project_service.list_projects()
-    default_project = await project_service.get_default_project_name()
+    default_project = project_service.default_project

    project_items = [
        ProjectItem(
@@ -15,7 +15,6 @@ from pathlib import Path as PathLib
 from fastapi import APIRouter, HTTPException, Response, Path
 from loguru import logger

-from basic_memory import telemetry
 from basic_memory.deps import (
    ProjectConfigV2ExternalDep,
    FileServiceV2ExternalDep,
@@ -56,62 +55,36 @@ async def get_resource_content(
    Raises:
        HTTPException: 404 if entity or file not found
    """
-    with telemetry.operation(
-        "api.request.resource.get_content",
-        entrypoint="api",
-        domain="resource",
-        action="get_content",
-    ):
-        logger.debug(f"V2 Getting content for project {project_id}, entity_id: {entity_id}")
+    logger.debug(f"V2 Getting content for project {project_id}, entity_id: {entity_id}")

-        with telemetry.scope(
-            "api.resource.get_content.load_entity",
-            domain="resource",
-            action="get_content",
-            phase="load_entity",
-        ):
-            entity = await entity_repository.get_by_external_id(entity_id)
-        if not entity:
-            raise HTTPException(status_code=404, detail=f"Entity {entity_id} not found")
+    # Get entity by external_id
+    entity = await entity_repository.get_by_external_id(entity_id)
+    if not entity:
+        raise HTTPException(status_code=404, detail=f"Entity {entity_id} not found")

-        with telemetry.scope(
-            "api.resource.get_content.validate_path",
-            domain="resource",
-            action="get_content",
-            phase="validate_path",
-        ):
-            project_path = PathLib(config.home)
-            if not validate_project_path(entity.file_path, project_path):
-                logger.error(  # pragma: no cover
-                    f"Invalid file path in entity {entity.id}: {entity.file_path}"
-                )
-                raise HTTPException(  # pragma: no cover
-                    status_code=500,
-                    detail="Entity contains invalid file path",
-                )
+    # Validate entity file path to prevent path traversal
+    project_path = PathLib(config.home)
+    if not validate_project_path(entity.file_path, project_path):
+        logger.error(  # pragma: no cover
+            f"Invalid file path in entity {entity.id}: {entity.file_path}"
+        )
+        raise HTTPException(  # pragma: no cover
+            status_code=500,
+            detail="Entity contains invalid file path",
+        )

-        with telemetry.scope(
-            "api.resource.get_content.ensure_exists",
-            domain="resource",
-            action="get_content",
-            phase="ensure_exists",
-        ):
-            if not await file_service.exists(entity.file_path):
-                raise HTTPException(  # pragma: no cover
-                    status_code=404,
-                    detail=f"File not found: {entity.file_path}",
-                )
+    # Check file exists via file_service (for cloud compatibility)
+    if not await file_service.exists(entity.file_path):
+        raise HTTPException(  # pragma: no cover
+            status_code=404,
+            detail=f"File not found: {entity.file_path}",
+        )

-        with telemetry.scope(
-            "api.resource.get_content.read_content",
-            domain="resource",
-            action="get_content",
-            phase="read_content",
-        ):
-            content = await file_service.read_file_bytes(entity.file_path)
-            content_type = file_service.content_type(entity.file_path)
+    # Read content via file_service as bytes (works with both local and S3)
+    content = await file_service.read_file_bytes(entity.file_path)
+    content_type = file_service.content_type(entity.file_path)

-        return Response(content=content, media_type=content_type)
+    return Response(content=content, media_type=content_type)


@router.post("", response_model=ResourceResponse)
@@ -139,94 +112,74 @@ async def create_resource(
    Raises:
        HTTPException: 400 for invalid file paths, 409 if file already exists
    """
-    with telemetry.operation(
-        "api.request.resource.create",
-        entrypoint="api",
-        domain="resource",
-        action="create",
-    ):
-        try:
-            # Validate path to prevent path traversal attacks
-            project_path = PathLib(config.home)
-            if not validate_project_path(data.file_path, project_path):
-                logger.warning(
-                    f"Invalid file path attempted: {data.file_path} in project {config.name}"
-                )
-                raise HTTPException(
-                    status_code=400,
-                    detail=f"Invalid file path: {data.file_path}. "
-                    "Path must be relative and stay within project boundaries.",
-                )
-
-            existing_entity = await entity_repository.get_by_file_path(data.file_path)
-            if existing_entity:
-                raise HTTPException(
-                    status_code=409,
-                    detail=f"Resource already exists at {data.file_path} with entity_id {existing_entity.external_id}. "
-                    f"Use PUT /resource/{existing_entity.external_id} to update it.",
-                )
-
-            with telemetry.scope(
-                "api.resource.create.write_file",
-                domain="resource",
-                action="create",
-                phase="write_file",
-            ):
-                await file_service.ensure_directory(PathLib(data.file_path).parent)
-                checksum = await file_service.write_file(data.file_path, data.content)
-
-            with telemetry.scope(
-                "api.resource.create.read_metadata",
-                domain="resource",
-                action="create",
-                phase="read_metadata",
-            ):
-                file_metadata = await file_service.get_file_metadata(data.file_path)
-
-            file_name = PathLib(data.file_path).name
-            content_type = file_service.content_type(data.file_path)
-            note_type = "canvas" if data.file_path.endswith(".canvas") else "file"
-
-            entity = EntityModel(
-                external_id=str(uuid.uuid4()),
-                title=file_name,
-                note_type=note_type,
-                content_type=content_type,
-                file_path=data.file_path,
-                checksum=checksum,
-                created_at=file_metadata.created_at,
-                updated_at=file_metadata.modified_at,
+    try:
+        # Validate path to prevent path traversal attacks
+        project_path = PathLib(config.home)
+        if not validate_project_path(data.file_path, project_path):
+            logger.warning(
+                f"Invalid file path attempted: {data.file_path} in project {config.name}"
            )
-            with telemetry.scope(
-                "api.resource.create.upsert_entity",
-                domain="resource",
-                action="create",
-                phase="upsert_entity",
-            ):
-                entity = await entity_repository.add(entity)
-
-            with telemetry.scope(
-                "api.resource.create.search_index",
-                domain="resource",
-                action="create",
-                phase="search_index",
-            ):
-                await search_service.index_entity(entity)  # pyright: ignore
-
-            return ResourceResponse(
-                entity_id=entity.id,
-                external_id=entity.external_id,
-                file_path=data.file_path,
-                checksum=checksum,
-                size=file_metadata.size,
-                created_at=file_metadata.created_at.timestamp(),
-                modified_at=file_metadata.modified_at.timestamp(),
+            raise HTTPException(
+                status_code=400,
+                detail=f"Invalid file path: {data.file_path}. "
+                "Path must be relative and stay within project boundaries.",
            )
-        except HTTPException:
-            raise
-        except Exception as e:  # pragma: no cover
-            logger.error(f"Error creating resource {data.file_path}: {e}")
-            raise HTTPException(status_code=500, detail=f"Failed to create resource: {str(e)}")
+
+        # Check if entity already exists
+        existing_entity = await entity_repository.get_by_file_path(data.file_path)
+        if existing_entity:
+            raise HTTPException(
+                status_code=409,
+                detail=f"Resource already exists at {data.file_path} with entity_id {existing_entity.external_id}. "
+                f"Use PUT /resource/{existing_entity.external_id} to update it.",
+            )
+
+        # Cloud compatibility: avoid assuming a local filesystem path.
+        # Delegate directory creation + writes to FileService (local or S3).
+        await file_service.ensure_directory(PathLib(data.file_path).parent)
+        checksum = await file_service.write_file(data.file_path, data.content)
+
+        # Get file info
+        file_metadata = await file_service.get_file_metadata(data.file_path)
+
+        # Determine file details
+        file_name = PathLib(data.file_path).name
+        content_type = file_service.content_type(data.file_path)
+        entity_type = "canvas" if data.file_path.endswith(".canvas") else "file"
+
+        # Create a new entity model
+        # Explicitly set external_id to ensure NOT NULL constraint is satisfied (fixes #512)
+        entity = EntityModel(
+            external_id=str(uuid.uuid4()),
+            title=file_name,
+            entity_type=entity_type,
+            content_type=content_type,
+            file_path=data.file_path,
+            checksum=checksum,
+            created_at=file_metadata.created_at,
+            updated_at=file_metadata.modified_at,
+        )
+        entity = await entity_repository.add(entity)
+
+        # Index the file for search
+        await search_service.index_entity(entity)  # pyright: ignore
+
+        # Return success response
+        return ResourceResponse(
+            entity_id=entity.id,
+            external_id=entity.external_id,
+            file_path=data.file_path,
+            checksum=checksum,
+            size=file_metadata.size,
+            created_at=file_metadata.created_at.timestamp(),
+            modified_at=file_metadata.modified_at.timestamp(),
+        )
+    except HTTPException:
+        # Re-raise HTTP exceptions without wrapping
+        raise
+    except Exception as e:  # pragma: no cover
+        logger.error(f"Error creating resource {data.file_path}: {e}")
+        raise HTTPException(status_code=500, detail=f"Failed to create resource: {str(e)}")


@router.put("/{entity_id}", response_model=ResourceResponse)
@@ -258,94 +211,79 @@ async def update_resource(
    Raises:
        HTTPException: 404 if entity not found, 400 for invalid paths
    """
-    with telemetry.operation(
-        "api.request.resource.update",
-        entrypoint="api",
-        domain="resource",
-        action="update",
-    ):
-        try:
-            entity = await entity_repository.get_by_external_id(entity_id)
-            if not entity:
-                raise HTTPException(status_code=404, detail=f"Entity {entity_id} not found")
+    try:
+        # Get existing entity by external_id
+        entity = await entity_repository.get_by_external_id(entity_id)
+        if not entity:
+            raise HTTPException(status_code=404, detail=f"Entity {entity_id} not found")

-            target_file_path = data.file_path if data.file_path else entity.file_path
+        # Determine target file path
+        target_file_path = data.file_path if data.file_path else entity.file_path

-            project_path = PathLib(config.home)
-            if not validate_project_path(target_file_path, project_path):
-                logger.warning(
-                    f"Invalid file path attempted: {target_file_path} in project {config.name}"
-                )
-                raise HTTPException(
-                    status_code=400,
-                    detail=f"Invalid file path: {target_file_path}. "
-                    "Path must be relative and stay within project boundaries.",
-                )
-
-            with telemetry.scope(
-                "api.resource.update.write_file",
-                domain="resource",
-                action="update",
-                phase="write_file",
-            ):
-                if data.file_path and data.file_path != entity.file_path:
-                    await file_service.ensure_directory(PathLib(target_file_path).parent)
-                    if await file_service.exists(entity.file_path):
-                        await file_service.delete_file(entity.file_path)
-                else:
-                    await file_service.ensure_directory(PathLib(target_file_path).parent)
-
-                checksum = await file_service.write_file(target_file_path, data.content)
-
-            with telemetry.scope(
-                "api.resource.update.read_metadata",
-                domain="resource",
-                action="update",
-                phase="read_metadata",
-            ):
-                file_metadata = await file_service.get_file_metadata(target_file_path)
-
-            file_name = PathLib(target_file_path).name
-            content_type = file_service.content_type(target_file_path)
-            note_type = "canvas" if target_file_path.endswith(".canvas") else "file"
-
-            with telemetry.scope(
-                "api.resource.update.update_entity",
-                domain="resource",
-                action="update",
-                phase="update_entity",
-            ):
-                updated_entity = await entity_repository.update(
-                    entity.id,
-                    {
-                        "title": file_name,
-                        "note_type": note_type,
-                        "content_type": content_type,
-                        "file_path": target_file_path,
-                        "checksum": checksum,
-                        "updated_at": file_metadata.modified_at,
-                    },
-                )
-
-            with telemetry.scope(
-                "api.resource.update.search_index",
-                domain="resource",
-                action="update",
-                phase="search_index",
-            ):
-                await search_service.index_entity(updated_entity)  # pyright: ignore
-
-            return ResourceResponse(
-                entity_id=entity.id,
-                external_id=entity.external_id,
-                file_path=target_file_path,
-                checksum=checksum,
-                size=file_metadata.size,
-                created_at=file_metadata.created_at.timestamp(),
-                modified_at=file_metadata.modified_at.timestamp(),
+        # Validate path to prevent path traversal attacks
+        project_path = PathLib(config.home)
+        if not validate_project_path(target_file_path, project_path):
+            logger.warning(
+                f"Invalid file path attempted: {target_file_path} in project {config.name}"
            )
-        except HTTPException:
-            raise
-        except Exception as e:  # pragma: no cover
-            logger.error(f"Error updating resource {entity_id}: {e}")
-            raise HTTPException(status_code=500, detail=f"Failed to update resource: {str(e)}")
+            raise HTTPException(
+                status_code=400,
+                detail=f"Invalid file path: {target_file_path}. "
+                "Path must be relative and stay within project boundaries.",
+            )
+
+        # If moving file, handle the move
+        if data.file_path and data.file_path != entity.file_path:
+            # Ensure new parent directory exists (no-op for S3)
+            await file_service.ensure_directory(PathLib(target_file_path).parent)
+
+            # If old file exists, remove it via file_service (for cloud compatibility)
+            if await file_service.exists(entity.file_path):
+                await file_service.delete_file(entity.file_path)
+        else:
+            # Ensure directory exists for in-place update
+            await file_service.ensure_directory(PathLib(target_file_path).parent)
+
+        # Write content to target file
+        checksum = await file_service.write_file(target_file_path, data.content)
+
+        # Get file info
+        file_metadata = await file_service.get_file_metadata(target_file_path)
+
+        # Determine file details
+        file_name = PathLib(target_file_path).name
+        content_type = file_service.content_type(target_file_path)
+        entity_type = "canvas" if target_file_path.endswith(".canvas") else "file"
+
+        # Update entity using internal ID
+        updated_entity = await entity_repository.update(
+            entity.id,
+            {
+                "title": file_name,
+                "entity_type": entity_type,
+                "content_type": content_type,
+                "file_path": target_file_path,
+                "checksum": checksum,
+                "updated_at": file_metadata.modified_at,
+            },
+        )
+
+        # Index the updated file for search
+        await search_service.index_entity(updated_entity)  # pyright: ignore
+
+        # Return success response
+        return ResourceResponse(
+            entity_id=entity.id,
+            external_id=entity.external_id,
+            file_path=target_file_path,
+            checksum=checksum,
+            size=file_metadata.size,
+            created_at=file_metadata.created_at.timestamp(),
+            modified_at=file_metadata.modified_at.timestamp(),
+        )
+    except HTTPException:
+        # Re-raise HTTP exceptions without wrapping
+        raise
+    except Exception as e:  # pragma: no cover
+        logger.error(f"Error updating resource {entity_id}: {e}")
+        raise HTTPException(status_code=500, detail=f"Failed to update resource: {str(e)}")
@@ -8,16 +8,11 @@ observations and relations.
 Flow: Entity loaded with eager observations/relations -> convert to tuples -> core functions.
 """

-from pathlib import Path as FilePath
-
-import frontmatter
 from fastapi import APIRouter, Path, Query
-from loguru import logger

 from basic_memory.deps import (
+    SearchServiceV2ExternalDep,
    EntityRepositoryV2ExternalDep,
-    FileServiceV2ExternalDep,
-    LinkResolverV2ExternalDep,
 )
 from basic_memory.models.knowledge import Entity
 from basic_memory.schemas.schema import (
@@ -29,11 +24,11 @@ from basic_memory.schemas.schema import (
    FieldFrequencyResponse,
    DriftFieldResponse,
 )
+from basic_memory.schemas.search import SearchQuery
 from basic_memory.schema.resolver import resolve_schema
 from basic_memory.schema.validator import validate_note
 from basic_memory.schema.inference import infer_schema, NoteData, ObservationData, RelationData
 from basic_memory.schema.diff import diff_schema
-from basic_memory.utils import generate_permalink

 # Note: No prefix here -- it's added during registration as /v2/{project_id}/schema
 router = APIRouter(tags=["schema"])
@@ -57,7 +52,7 @@ def _entity_relations(entity: Entity) -> list[RelationData]:
        RelationData(
            relation_type=rel.relation_type,
            target_name=rel.to_name,
-            target_note_type=rel.to_entity.note_type if rel.to_entity else None,
+            target_entity_type=rel.to_entity.entity_type if rel.to_entity else None,
        )
        for rel in entity.outgoing_relations
    ]
@@ -73,54 +68,11 @@ def _entity_to_note_data(entity: Entity) -> NoteData:


 def _entity_frontmatter(entity: Entity) -> dict:
-    """Build a frontmatter dict from an entity's database metadata.
-
-    Used for the notes being validated — their type and schema ref are
-    unlikely to change between syncs.
-    """
-    fm = dict(entity.entity_metadata) if entity.entity_metadata else {}
-    if entity.note_type:
-        fm.setdefault("type", entity.note_type)
-    return fm
-
-
-async def _schema_frontmatter_from_file(
-    file_service: FileServiceV2ExternalDep,
-    entity: Entity,
-) -> dict:
-    """Read a schema entity's frontmatter directly from its file.
-
-    Schema definitions (field declarations, validation mode) are the source
-    of truth for validation. Reading from the file ensures schema-validate
-    always uses the latest settings, even when the file watcher hasn't
-    synced changes to entity_metadata in the database.
-    """
-    try:
-        content = await file_service.read_file_content(entity.file_path)
-        post = frontmatter.loads(content)
-        metadata = dict(post.metadata)
-
-        # Trigger: file is mid-edit and missing required schema fields
-        # Why: parse_schema_note() raises ValueError for missing entity/schema,
-        #   which would turn validation into a 500 response
-        # Outcome: fall back to last-known-good database metadata
-        if not metadata.get("entity") or not isinstance(metadata.get("schema"), dict):
-            logger.warning(
-                "Schema file has incomplete frontmatter, falling back to database metadata",
-                file_path=entity.file_path,
-            )
-            return _entity_frontmatter(entity)
-
-        return metadata
-    except Exception:
-        # Trigger: file is missing, unreadable, or has malformed frontmatter
-        # Why: fall back to database metadata rather than failing validation entirely
-        # Outcome: behaves like before this change — uses potentially stale data
-        logger.warning(
-            "Failed to read schema file, falling back to database metadata",
-            file_path=entity.file_path,
-        )
-        return _entity_frontmatter(entity)
+    """Build a frontmatter dict from an entity for schema resolution."""
+    frontmatter = dict(entity.entity_metadata) if entity.entity_metadata else {}
+    if entity.entity_type:
+        frontmatter.setdefault("type", entity.entity_type)
+    return frontmatter


 # --- Validation ---
@@ -129,94 +81,74 @@ async def _schema_frontmatter_from_file(
@router.post("/schema/validate", response_model=ValidationReport)
 async def validate_schema(
    entity_repository: EntityRepositoryV2ExternalDep,
-    file_service: FileServiceV2ExternalDep,
-    link_resolver: LinkResolverV2ExternalDep,
+    search_service: SearchServiceV2ExternalDep,
    project_id: str = Path(..., description="Project external UUID"),
-    note_type: str | None = Query(None, description="Note type to validate"),
+    entity_type: str | None = Query(None, description="Entity type to validate"),
    identifier: str | None = Query(None, description="Specific note identifier"),
 ):
    """Validate notes against their resolved schemas.

    Validates a specific note (by identifier) or all notes of a given type.
    Returns warnings/errors based on the schema's validation mode.
-
-    Schema definitions are read directly from their files to ensure the
-    latest settings (validation mode, field declarations) are always used,
-    even when file changes haven't been synced to the database yet.
    """
    results: list[NoteValidationResponse] = []

+    async def search_fn(query: str) -> list:
+        # Search for schema notes, then load full entity_metadata from the entity table.
+        # The search index only stores minimal metadata (e.g., {"entity_type": "schema"}),
+        # but parse_schema_note needs the full frontmatter with entity/schema/version keys.
+        results = await search_service.search(SearchQuery(text=query, types=["schema"]), limit=5)
+        frontmatters = []
+        for row in results:
+            if row.permalink:
+                entity = await entity_repository.get_by_permalink(row.permalink)
+                if entity:
+                    frontmatters.append(_entity_frontmatter(entity))
+        return frontmatters
+
    # --- Single note validation ---
    if identifier:
-        # Resolve identifier flexibly (permalink, title, path, fuzzy)
-        # to match how read_note and other tools resolve identifiers
-        entity = await link_resolver.resolve_link(identifier)
+        entity = await entity_repository.get_by_permalink(identifier)
        if not entity:
-            return ValidationReport(note_type=note_type, total_notes=0, total_entities=0)
+            return ValidationReport(entity_type=entity_type, total_notes=0, results=[])

-        frontmatter = _entity_frontmatter(entity)
-        schema_ref = frontmatter.get("schema")
-
-        async def search_fn(query: str) -> list[dict]:
-            entities = await _find_schema_entities(
-                entity_repository,
-                query,
-                allow_reference_match=isinstance(schema_ref, str) and query == schema_ref,
-            )
-            return [await _schema_frontmatter_from_file(file_service, e) for e in entities]
-
-        schema_def = await resolve_schema(frontmatter, search_fn)
+        schema_def = await resolve_schema(_entity_frontmatter(entity), search_fn)
        if schema_def:
            result = validate_note(
-                entity.title or entity.permalink or identifier,
+                entity.permalink or identifier,
                schema_def,
                _entity_observations(entity),
                _entity_relations(entity),
-                frontmatter=frontmatter,
            )
            results.append(_to_note_validation_response(result))

        return ValidationReport(
-            note_type=note_type or entity.note_type,
-            total_notes=len(results),
-            total_entities=1,
+            entity_type=entity_type or entity.entity_type,
+            total_notes=1,
            valid_count=1 if (results and results[0].passed) else 0,
            warning_count=sum(len(r.warnings) for r in results),
            error_count=sum(len(r.errors) for r in results),
            results=results,
        )

-    # --- Batch validation by note type ---
-    entities = await _find_by_note_type(entity_repository, note_type) if note_type else []
+    # --- Batch validation by entity type ---
+    entities = await _find_by_entity_type(entity_repository, entity_type) if entity_type else []

    for entity in entities:
-        frontmatter = _entity_frontmatter(entity)
-        schema_ref = frontmatter.get("schema")
-
-        async def search_fn(query: str) -> list[dict]:
-            entities = await _find_schema_entities(
-                entity_repository,
-                query,
-                allow_reference_match=isinstance(schema_ref, str) and query == schema_ref,
-            )
-            return [await _schema_frontmatter_from_file(file_service, e) for e in entities]
-
-        schema_def = await resolve_schema(frontmatter, search_fn)
+        schema_def = await resolve_schema(_entity_frontmatter(entity), search_fn)
        if schema_def:
            result = validate_note(
-                entity.title or entity.permalink or entity.file_path,
+                entity.permalink or entity.file_path,
                schema_def,
                _entity_observations(entity),
                _entity_relations(entity),
-                frontmatter=frontmatter,
            )
            results.append(_to_note_validation_response(result))

    valid = sum(1 for r in results if r.passed)
    return ValidationReport(
-        note_type=note_type,
+        entity_type=entity_type,
        total_notes=len(results),
-        total_entities=len(entities),
        valid_count=valid,
        warning_count=sum(len(r.warnings) for r in results),
        error_count=sum(len(r.errors) for r in results),
@@ -231,7 +163,7 @@ async def validate_schema(
 async def infer_schema_endpoint(
    entity_repository: EntityRepositoryV2ExternalDep,
    project_id: str = Path(..., description="Project external UUID"),
-    note_type: str = Query(..., description="Note type to analyze"),
+    entity_type: str = Query(..., description="Entity type to analyze"),
    threshold: float = Query(0.25, description="Minimum frequency for optional fields"),
 ):
    """Infer a schema from existing notes of a given type.
@@ -239,13 +171,13 @@ async def infer_schema_endpoint(
    Examines observation categories and relation types across all notes
    of the given type. Returns frequency analysis and suggested Picoschema.
    """
-    entities = await _find_by_note_type(entity_repository, note_type)
+    entities = await _find_by_entity_type(entity_repository, entity_type)
    notes_data = [_entity_to_note_data(entity) for entity in entities]

-    result = infer_schema(note_type, notes_data, optional_threshold=threshold)
+    result = infer_schema(entity_type, notes_data, optional_threshold=threshold)

    return InferenceReport(
-        note_type=result.note_type,
+        entity_type=result.entity_type,
        notes_analyzed=result.notes_analyzed,
        field_frequencies=[
            FieldFrequencyResponse(
@@ -270,11 +202,11 @@ async def infer_schema_endpoint(
 # --- Drift Detection ---


-@router.get("/schema/diff/{note_type}", response_model=DriftReport)
+@router.get("/schema/diff/{entity_type}", response_model=DriftReport)
 async def diff_schema_endpoint(
    entity_repository: EntityRepositoryV2ExternalDep,
-    file_service: FileServiceV2ExternalDep,
-    note_type: str = Path(..., description="Note type to check for drift"),
+    search_service: SearchServiceV2ExternalDep,
+    entity_type: str = Path(..., description="Entity type to check for drift"),
    project_id: str = Path(..., description="Project external UUID"),
 ):
    """Show drift between a schema definition and actual note usage.
@@ -284,25 +216,34 @@ async def diff_schema_endpoint(
    fields, and cardinality changes.
    """

-    async def search_fn(query: str) -> list[dict]:
-        entities = await _find_schema_entities(entity_repository, query)
-        return [await _schema_frontmatter_from_file(file_service, e) for e in entities]
+    async def search_fn(query: str) -> list:
+        # Search for schema notes, then load full entity_metadata from the entity table.
+        # The search index only stores minimal metadata (e.g., {"entity_type": "schema"}),
+        # but parse_schema_note needs the full frontmatter with entity/schema/version keys.
+        results = await search_service.search(SearchQuery(text=query, types=["schema"]), limit=5)
+        frontmatters = []
+        for row in results:
+            if row.permalink:
+                entity = await entity_repository.get_by_permalink(row.permalink)
+                if entity:
+                    frontmatters.append(_entity_frontmatter(entity))
+        return frontmatters

-    # Resolve schema by note type
-    schema_frontmatter = {"type": note_type}
+    # Resolve schema by entity type
+    schema_frontmatter = {"type": entity_type}
    schema_def = await resolve_schema(schema_frontmatter, search_fn)

    if not schema_def:
-        return DriftReport(note_type=note_type, schema_found=False)
+        return DriftReport(entity_type=entity_type)

    # Collect all notes of this type
-    entities = await _find_by_note_type(entity_repository, note_type)
+    entities = await _find_by_entity_type(entity_repository, entity_type)
    notes_data = [_entity_to_note_data(entity) for entity in entities]

    result = diff_schema(schema_def, notes_data)

    return DriftReport(
-        note_type=note_type,
+        entity_type=entity_type,
        new_fields=[
            DriftFieldResponse(
                name=f.name,
@@ -330,64 +271,16 @@ async def diff_schema_endpoint(
 # --- Helpers ---


-async def _find_by_note_type(
+async def _find_by_entity_type(
    entity_repository: EntityRepositoryV2ExternalDep,
-    note_type: str,
+    entity_type: str,
 ) -> list[Entity]:
    """Find all entities of a given type using the repository's select pattern."""
-    query = entity_repository.select().where(Entity.note_type == note_type)
+    query = entity_repository.select().where(Entity.entity_type == entity_type)
    result = await entity_repository.execute_query(query)
    return list(result.scalars().all())


-async def _find_schema_entities(
-    entity_repository: EntityRepositoryV2ExternalDep,
-    target_note_type: str,
-    *,
-    allow_reference_match: bool = False,
-) -> list[Entity]:
-    """Find schema entities for resolver lookups.
-
-    Resolution strategy:
-    1) Always try exact entity_metadata['entity'] match (for implicit type lookup
-       and explicit references that use entity names)
-    2) Only when allow_reference_match=True and no entity match was found, try
-       exact reference matching by title/permalink (explicit schema references)
-    """
-    query = entity_repository.select().where(Entity.note_type == "schema")
-    result = await entity_repository.execute_query(query)
-    entities = list(result.scalars().all())
-
-    normalized_target = generate_permalink(target_note_type)
-
-    entity_matches = [
-        e
-        for e in entities
-        if e.entity_metadata
-        and isinstance(e.entity_metadata.get("entity"), str)
-        and generate_permalink(e.entity_metadata["entity"]) == normalized_target
-    ]
-    if entity_matches:
-        return entity_matches
-
-    if not allow_reference_match:
-        return []
-
-    reference_matches: list[Entity] = []
-    for entity in entities:
-        candidate_refs: list[str] = []
-        if entity.title:
-            candidate_refs.append(entity.title)
-        if entity.permalink:
-            candidate_refs.append(entity.permalink)
-            candidate_refs.append(FilePath(entity.permalink).name)
-
-        if any(generate_permalink(ref) == normalized_target for ref in candidate_refs):
-            reference_matches.append(entity)
-
-    return reference_matches
-
-
 def _to_note_validation_response(result) -> NoteValidationResponse:
    """Convert a core ValidationResult to a Pydantic response model."""
    return NoteValidationResponse(
@@ -6,7 +6,6 @@ V1 uses string-based project names which are less efficient and less stable.

 from fastapi import APIRouter, HTTPException, Path

-from basic_memory import telemetry
 from basic_memory.api.v2.utils import to_search_results
 from basic_memory.repository.semantic_errors import (
    SemanticDependenciesMissingError,
@@ -48,73 +47,22 @@ async def search(
    Returns:
        SearchResponse with paginated search results
    """
-    with telemetry.operation(
-        "api.request.search",
-        entrypoint="api",
-        domain="search",
-        action="search",
-        page=page,
+    limit = page_size
+    offset = (page - 1) * page_size
+    try:
+        results = await search_service.search(query, limit=limit, offset=offset)
+    except SemanticSearchDisabledError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    except SemanticDependenciesMissingError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    search_results = await to_search_results(entity_service, results)
+    return SearchResponse(
+        results=search_results,
+        current_page=page,
        page_size=page_size,
-        retrieval_mode=query.retrieval_mode.value,
-        has_query=bool(
-            (query.text and query.text.strip())
-            or query.title
-            or query.permalink
-            or query.permalink_match
-        ),
-        has_filters=bool(query.note_types or query.entity_types or query.metadata_filters),
-    ):
-        offset = (page - 1) * page_size
-        fetch_limit = page_size + 1
-        try:
-            with telemetry.scope(
-                "api.search.search.execute_query",
-                domain="search",
-                action="search",
-                phase="execute_query",
-                page=page,
-                page_size=page_size,
-            ):
-                results = await search_service.search(query, limit=fetch_limit, offset=offset)
-        except SemanticSearchDisabledError as exc:
-            raise HTTPException(status_code=400, detail=str(exc)) from exc
-        except SemanticDependenciesMissingError as exc:
-            raise HTTPException(status_code=400, detail=str(exc)) from exc
-        except ValueError as exc:
-            raise HTTPException(status_code=400, detail=str(exc)) from exc
-
-        with telemetry.scope(
-            "api.search.search.paginate_results",
-            domain="search",
-            action="search",
-            phase="paginate_results",
-            result_count=len(results),
-        ):
-            has_more = len(results) > page_size
-            if has_more:
-                results = results[:page_size]
-
-        with telemetry.scope(
-            "api.search.search.hydrate_results",
-            domain="search",
-            action="search",
-            phase="hydrate_results",
-            result_count=len(results),
-        ):
-            search_results = await to_search_results(entity_service, results)
-        with telemetry.scope(
-            "api.search.search.build_response",
-            domain="search",
-            action="search",
-            phase="build_response",
-            result_count=len(search_results),
-        ):
-            return SearchResponse(
-                results=search_results,
-                current_page=page,
-                page_size=page_size,
-                has_more=has_more,
-            )
+    )


@router.post("/search/reindex")
@@ -1,7 +1,5 @@
 from typing import Optional, List

-from basic_memory import telemetry
-from basic_memory.models import Entity as EntityModel
 from basic_memory.repository import EntityRepository
 from basic_memory.repository.search_repository import SearchIndexRow
 from basic_memory.schemas.memory import (
@@ -26,224 +24,167 @@ async def to_graph_context(
    page: Optional[int] = None,
    page_size: Optional[int] = None,
 ):
-    with telemetry.scope(
-        "memory.hydrate_context",
-        domain="memory",
-        action="build_context",
-        phase="hydrate_context",
+    # First pass: collect all entity IDs needed for external_id lookup
+    # This includes: entity primary results, observation parent entities, relation from/to entities
+    entity_ids_needed: set[int] = set()
+    for context_item in context_result.results:
+        for item in (
+            [context_item.primary_result] + context_item.observations + context_item.related_results
+        ):
+            if item.type == SearchItemType.ENTITY:
+                # Entity's own ID for its external_id
+                entity_ids_needed.add(item.id)
+            elif item.type == SearchItemType.OBSERVATION:
+                # Parent entity ID for entity_external_id
+                if item.entity_id:  # pyright: ignore
+                    entity_ids_needed.add(item.entity_id)  # pyright: ignore
+            elif item.type == SearchItemType.RELATION:
+                # Source and target entity IDs for external_ids
+                if item.from_id:  # pyright: ignore
+                    entity_ids_needed.add(item.from_id)  # pyright: ignore
+                if item.to_id:
+                    entity_ids_needed.add(item.to_id)
+
+    # Batch fetch all entities at once - get both title and external_id
+    entity_title_lookup: dict[int, str] = {}
+    entity_external_id_lookup: dict[int, str] = {}
+    if entity_ids_needed:
+        entities = await entity_repository.find_by_ids(list(entity_ids_needed))
+        for e in entities:
+            entity_title_lookup[e.id] = e.title
+            entity_external_id_lookup[e.id] = e.external_id
+
+    # Helper function to convert items to summaries
+    def to_summary(item: SearchIndexRow | ContextResultRow):
+        match item.type:
+            case SearchItemType.ENTITY:
+                return EntitySummary(
+                    external_id=entity_external_id_lookup.get(item.id, ""),
+                    entity_id=item.id,
+                    title=item.title,  # pyright: ignore
+                    permalink=item.permalink,
+                    content=item.content,
+                    file_path=item.file_path,
+                    created_at=item.created_at,
+                )
+            case SearchItemType.OBSERVATION:
+                entity_ext_id = None
+                if item.entity_id:  # pyright: ignore
+                    entity_ext_id = entity_external_id_lookup.get(item.entity_id)  # pyright: ignore
+                return ObservationSummary(
+                    observation_id=item.id,
+                    entity_id=item.entity_id,  # pyright: ignore
+                    entity_external_id=entity_ext_id,
+                    title=entity_title_lookup.get(item.entity_id),  # pyright: ignore
+                    file_path=item.file_path,
+                    category=item.category,  # pyright: ignore
+                    content=item.content,  # pyright: ignore
+                    permalink=item.permalink,  # pyright: ignore
+                    created_at=item.created_at,
+                )
+            case SearchItemType.RELATION:
+                from_title = entity_title_lookup.get(item.from_id) if item.from_id else None  # pyright: ignore
+                to_title = entity_title_lookup.get(item.to_id) if item.to_id else None
+                from_ext_id = entity_external_id_lookup.get(item.from_id) if item.from_id else None  # pyright: ignore
+                to_ext_id = entity_external_id_lookup.get(item.to_id) if item.to_id else None
+                return RelationSummary(
+                    relation_id=item.id,
+                    entity_id=item.entity_id,  # pyright: ignore
+                    title=item.title,  # pyright: ignore
+                    file_path=item.file_path,
+                    permalink=item.permalink,  # pyright: ignore
+                    relation_type=item.relation_type,  # pyright: ignore
+                    from_entity=from_title,
+                    from_entity_id=item.from_id,  # pyright: ignore
+                    from_entity_external_id=from_ext_id,
+                    to_entity=to_title,
+                    to_entity_id=item.to_id,
+                    to_entity_external_id=to_ext_id,
+                    created_at=item.created_at,
+                )
+            case _:  # pragma: no cover
+                raise ValueError(f"Unexpected type: {item.type}")
+
+    # Process the hierarchical results
+    hierarchical_results = []
+    for context_item in context_result.results:
+        # Process primary result
+        primary_result = to_summary(context_item.primary_result)
+
+        # Process observations (always ObservationSummary, validated by context_service)
+        observations = [to_summary(obs) for obs in context_item.observations]
+
+        # Process related results
+        related = [to_summary(rel) for rel in context_item.related_results]
+
+        # Add to hierarchical results
+        hierarchical_results.append(
+            ContextResult(
+                primary_result=primary_result,
+                observations=observations,  # pyright: ignore[reportArgumentType]
+                related_results=related,
+            )
+        )
+
+    # Create schema metadata from service metadata
+    metadata = MemoryMetadata(
+        uri=context_result.metadata.uri,
+        types=context_result.metadata.types,
+        depth=context_result.metadata.depth,
+        timeframe=context_result.metadata.timeframe,
+        generated_at=context_result.metadata.generated_at,
+        primary_count=context_result.metadata.primary_count,
+        related_count=context_result.metadata.related_count,
+        total_results=context_result.metadata.primary_count + context_result.metadata.related_count,
+        total_relations=context_result.metadata.total_relations,
+        total_observations=context_result.metadata.total_observations,
+    )
+
+    # Return new GraphContext with just hierarchical results
+    return GraphContext(
+        results=hierarchical_results,
+        metadata=metadata,
        page=page,
        page_size=page_size,
-        result_count=len(context_result.results),
-    ):
-        # First pass: collect all entity IDs needed for external_id lookup
-        # This includes: entity primary results, observation parent entities, relation from/to entities
-        entity_ids_needed: set[int] = set()
-        for context_item in context_result.results:
-            for item in (
-                [context_item.primary_result]
-                + context_item.observations
-                + context_item.related_results
-            ):
-                if item.type == SearchItemType.ENTITY:
-                    # Entity's own ID for its external_id
-                    entity_ids_needed.add(item.id)
-                elif item.type == SearchItemType.OBSERVATION:
-                    # Parent entity ID for entity_external_id
-                    if item.entity_id:  # pyright: ignore
-                        entity_ids_needed.add(item.entity_id)  # pyright: ignore
-                elif item.type == SearchItemType.RELATION:
-                    # Source and target entity IDs for external_ids
-                    if item.from_id:  # pyright: ignore
-                        entity_ids_needed.add(item.from_id)  # pyright: ignore
-                    if item.to_id:
-                        entity_ids_needed.add(item.to_id)
-
-        # Batch fetch all entities at once - get both title and external_id
-        entity_title_lookup: dict[int, str] = {}
-        entity_external_id_lookup: dict[int, str] = {}
-        if entity_ids_needed:
-            with telemetry.scope(
-                "memory.hydrate_context.lookup_entities",
-                domain="memory",
-                action="build_context",
-                phase="lookup_entities",
-                result_count=len(entity_ids_needed),
-            ):
-                entities = await entity_repository.find_by_ids(list(entity_ids_needed))
-            for e in entities:
-                entity_title_lookup[e.id] = e.title
-                entity_external_id_lookup[e.id] = e.external_id
-
-        # Helper function to convert items to summaries
-        def to_summary(item: SearchIndexRow | ContextResultRow):
-            match item.type:
-                case SearchItemType.ENTITY:
-                    return EntitySummary(
-                        external_id=entity_external_id_lookup.get(item.id, ""),
-                        entity_id=item.id,
-                        title=item.title,  # pyright: ignore
-                        permalink=item.permalink,
-                        content=item.content,
-                        file_path=item.file_path,
-                        created_at=item.created_at,
-                    )
-                case SearchItemType.OBSERVATION:
-                    entity_ext_id = None
-                    if item.entity_id:  # pyright: ignore
-                        entity_ext_id = entity_external_id_lookup.get(item.entity_id)  # pyright: ignore
-                    return ObservationSummary(
-                        observation_id=item.id,
-                        entity_id=item.entity_id,  # pyright: ignore
-                        entity_external_id=entity_ext_id,
-                        title=entity_title_lookup.get(item.entity_id),  # pyright: ignore
-                        file_path=item.file_path,
-                        category=item.category,  # pyright: ignore
-                        content=item.content,  # pyright: ignore
-                        permalink=item.permalink,  # pyright: ignore
-                        created_at=item.created_at,
-                    )
-                case SearchItemType.RELATION:
-                    from_title = entity_title_lookup.get(item.from_id) if item.from_id else None  # pyright: ignore
-                    to_title = entity_title_lookup.get(item.to_id) if item.to_id else None
-                    from_ext_id = (
-                        entity_external_id_lookup.get(item.from_id) if item.from_id else None
-                    )  # pyright: ignore
-                    to_ext_id = entity_external_id_lookup.get(item.to_id) if item.to_id else None
-                    return RelationSummary(
-                        relation_id=item.id,
-                        entity_id=item.entity_id,  # pyright: ignore
-                        title=item.title,  # pyright: ignore
-                        file_path=item.file_path,
-                        permalink=item.permalink,  # pyright: ignore
-                        relation_type=item.relation_type,  # pyright: ignore
-                        from_entity=from_title,
-                        from_entity_id=item.from_id,  # pyright: ignore
-                        from_entity_external_id=from_ext_id,
-                        to_entity=to_title,
-                        to_entity_id=item.to_id,
-                        to_entity_external_id=to_ext_id,
-                        created_at=item.created_at,
-                    )
-                case _:  # pragma: no cover
-                    raise ValueError(f"Unexpected type: {item.type}")
-
-        with telemetry.scope(
-            "memory.hydrate_context.shape_results",
-            domain="memory",
-            action="build_context",
-            phase="shape_results",
-            result_count=len(context_result.results),
-        ):
-            hierarchical_results = []
-            for context_item in context_result.results:
-                primary_result = to_summary(context_item.primary_result)
-                observations = [to_summary(obs) for obs in context_item.observations]
-                related = [to_summary(rel) for rel in context_item.related_results]
-                hierarchical_results.append(
-                    ContextResult(
-                        primary_result=primary_result,
-                        observations=observations,  # pyright: ignore[reportArgumentType]
-                        related_results=related,
-                    )
-                )
-
-        metadata = MemoryMetadata(
-            uri=context_result.metadata.uri,
-            types=context_result.metadata.types,
-            depth=context_result.metadata.depth,
-            timeframe=context_result.metadata.timeframe,
-            generated_at=context_result.metadata.generated_at,
-            primary_count=context_result.metadata.primary_count,
-            related_count=context_result.metadata.related_count,
-            total_results=context_result.metadata.primary_count
-            + context_result.metadata.related_count,
-            total_relations=context_result.metadata.total_relations,
-            total_observations=context_result.metadata.total_observations,
-        )
-
-        return GraphContext(
-            results=hierarchical_results,
-            metadata=metadata,
-            page=page,
-            page_size=page_size,
-            has_more=context_result.metadata.has_more,
-        )
+    )


 async def to_search_results(entity_service: EntityService, results: List[SearchIndexRow]):
-    with telemetry.scope(
-        "search.hydrate_results",
-        domain="search",
-        action="search",
-        phase="hydrate_results",
-        result_count=len(results),
-    ):
-        # Collect all unique entity IDs across all results in a single pass
-        # This avoids N+1 queries — one batch fetch instead of one per result
-        all_entity_ids: set[int] = set()
-        for result in results:
-            for eid in (result.entity_id, result.from_id, result.to_id):
-                if eid is not None:
-                    all_entity_ids.add(eid)
+    search_results = []
+    for r in results:
+        entities = await entity_service.get_entities_by_id([r.entity_id, r.from_id, r.to_id])  # pyright: ignore

-        # Single batch fetch for all entities
-        entities_by_id: dict[int, EntityModel] = {}
-        with telemetry.scope(
-            "search.hydrate_results.fetch_entities",
-            domain="search",
-            action="search",
-            phase="fetch_entities",
-            result_count=len(all_entity_ids),
-        ):
-            if all_entity_ids:
-                entities = await entity_service.get_entities_by_id(list(all_entity_ids))
-                entities_by_id = {e.id: e for e in entities}
+        # Determine which IDs to set based on type
+        entity_id = None
+        observation_id = None
+        relation_id = None

-        search_results = []
-        with telemetry.scope(
-            "search.hydrate_results.shape_results",
-            domain="search",
-            action="search",
-            phase="shape_results",
-            result_count=len(results),
-        ):
-            for result in results:
-                entity_id = None
-                observation_id = None
-                relation_id = None
+        if r.type == SearchItemType.ENTITY:
+            entity_id = r.id
+        elif r.type == SearchItemType.OBSERVATION:
+            observation_id = r.id
+            entity_id = r.entity_id  # Parent entity
+        elif r.type == SearchItemType.RELATION:
+            relation_id = r.id
+            entity_id = r.entity_id  # Parent entity

-                if result.type == SearchItemType.ENTITY:
-                    entity_id = result.id
-                elif result.type == SearchItemType.OBSERVATION:
-                    observation_id = result.id
-                    entity_id = result.entity_id
-                elif result.type == SearchItemType.RELATION:
-                    relation_id = result.id
-                    entity_id = result.entity_id
-
-                # Look up entities by their specific IDs
-                parent_entity = entities_by_id.get(result.entity_id) if result.entity_id else None  # pyright: ignore
-                from_entity = entities_by_id.get(result.from_id) if result.from_id else None  # pyright: ignore
-                to_entity = entities_by_id.get(result.to_id) if result.to_id else None
-
-                search_results.append(
-                    SearchResult(
-                        title=result.title,  # pyright: ignore
-                        type=result.type,  # pyright: ignore
-                        permalink=result.permalink,
-                        score=result.score,  # pyright: ignore
-                        entity=parent_entity.permalink if parent_entity else None,
-                        content=result.content,
-                        matched_chunk=result.matched_chunk_text,
-                        file_path=result.file_path,
-                        metadata=result.metadata,
-                        entity_id=entity_id,
-                        observation_id=observation_id,
-                        relation_id=relation_id,
-                        category=result.category,
-                        from_entity=from_entity.permalink if from_entity else None,
-                        to_entity=to_entity.permalink if to_entity else None,
-                        relation_type=result.relation_type,
-                    )
-                )
-        return search_results
+        search_results.append(
+            SearchResult(
+                title=r.title,  # pyright: ignore
+                type=r.type,  # pyright: ignore
+                permalink=r.permalink,
+                score=r.score,  # pyright: ignore
+                entity=entities[0].permalink if entities else None,
+                content=r.content,
+                file_path=r.file_path,
+                metadata=r.metadata,
+                entity_id=entity_id,
+                observation_id=observation_id,
+                relation_id=relation_id,
+                category=r.category,
+                from_entity=entities[0].permalink if entities else None,
+                to_entity=entities[1].permalink if len(entities) > 1 else None,
+                relation_type=r.relation_type,
+            )
+        )
+    return search_results
@@ -1,114 +0,0 @@
-"""Lightweight CLI analytics via Umami event collector.
-
-Sends anonymous, non-blocking usage events to help understand how the
-CLI-to-cloud conversion funnel performs. No PII, no fingerprinting,
-no cookies. Respects the same opt-out mechanisms as promo messaging.
-
-Events are fire-and-forget — analytics never blocks or breaks the CLI.
-
-Defaults point to the Basic Memory Umami Cloud instance. Override via:
-    BASIC_MEMORY_UMAMI_HOST     — Custom Umami instance URL
-    BASIC_MEMORY_UMAMI_SITE_ID  — Custom Website ID
-Opt out entirely with BASIC_MEMORY_NO_PROMOS=1.
-"""
-
-import json
-import os
-import threading
-import urllib.request
-from typing import Optional
-
-import basic_memory
-
-
-# ---------------------------------------------------------------------------
-# Configuration — defaults baked in, overridable via environment
-# ---------------------------------------------------------------------------
-
-_DEFAULT_UMAMI_HOST = "https://api-gateway.umami.dev"
-_DEFAULT_UMAMI_SITE_ID = "f6479898-ebaf-4e60-bce2-6dc60a3f6c5c"
-
-
-def _umami_host() -> Optional[str]:
-    return os.getenv("BASIC_MEMORY_UMAMI_HOST", "").strip() or _DEFAULT_UMAMI_HOST
-
-
-def _umami_site_id() -> Optional[str]:
-    return os.getenv("BASIC_MEMORY_UMAMI_SITE_ID", "").strip() or _DEFAULT_UMAMI_SITE_ID
-
-
-def _analytics_disabled() -> bool:
-    """True when analytics should not fire."""
-    value = os.getenv("BASIC_MEMORY_NO_PROMOS", "").strip().lower()
-    return value in {"1", "true", "yes"}
-
-
-def _is_configured() -> bool:
-    """True when both host and site ID are available."""
-    return _umami_host() is not None and _umami_site_id() is not None
-
-
-# ---------------------------------------------------------------------------
-# Public API
-# ---------------------------------------------------------------------------
-
-# Well-known event names for the promo/cloud funnel
-EVENT_PROMO_SHOWN = "cli-promo-shown"
-EVENT_PROMO_OPTED_OUT = "cli-promo-opted-out"
-EVENT_CLOUD_LOGIN_STARTED = "cli-cloud-login-started"
-EVENT_CLOUD_LOGIN_SUCCESS = "cli-cloud-login-success"
-EVENT_CLOUD_LOGIN_SUB_REQUIRED = "cli-cloud-login-sub-required"
-
-
-def track(event_name: str, data: Optional[dict] = None) -> None:
-    """Send an analytics event to Umami. Non-blocking, silent on failure.
-
-    Parameters
-    ----------
-    event_name:
-        Short kebab-case name (e.g. "cli-promo-shown").
-    data:
-        Optional dict of event properties (all values should be strings/numbers).
-    """
-    if _analytics_disabled() or not _is_configured():
-        return
-
-    host = _umami_host()
-    site_id = _umami_site_id()
-
-    # Umami v2 /api/send requires "type" at top level alongside "payload"
-    payload = {
-        "type": "event",
-        "payload": {
-            "hostname": "cli.basicmemory.com",
-            "language": "en",
-            "url": f"/cli/{event_name}",
-            "website": site_id,
-            "name": event_name,
-            "data": {
-                "version": basic_memory.__version__,
-                **(data or {}),
-            },
-        },
-    }
-
-    def _send():
-        try:
-            req = urllib.request.Request(
-                f"{host}/api/send",
-                data=json.dumps(payload).encode("utf-8"),
-                headers={
-                    "Content-Type": "application/json",
-                    # Umami's bot detection rejects non-browser User-Agents
-                    "User-Agent": "Mozilla/5.0 (compatible; BasicMemoryCLI/"
-                    f"{basic_memory.__version__})",
-                },
-            )
-            urllib.request.urlopen(req, timeout=3)
-        except Exception:
-            pass  # Never break the CLI for analytics
-
-    # Non-daemon so the process waits for the request to complete.
-    # The 3s urllib timeout caps the worst-case exit delay.
-    t = threading.Thread(target=_send)
-    t.start()
@@ -8,11 +8,9 @@ from typing import Optional  # noqa: E402

 import typer  # noqa: E402

-from basic_memory.cli.auto_update import maybe_run_periodic_auto_update  # noqa: E402
 from basic_memory.cli.container import CliContainer, set_container  # noqa: E402
-from basic_memory.cli.promo import maybe_show_cloud_promo, maybe_show_init_line  # noqa: E402
+from basic_memory.cli.promo import maybe_show_cloud_promo  # noqa: E402
 from basic_memory.config import init_cli_logging  # noqa: E402
-from basic_memory import telemetry  # noqa: E402


 def version_callback(value: bool) -> None:
@@ -43,33 +41,13 @@ def app_callback(

    # Initialize logging for CLI (file only, no stdout)
    init_cli_logging()
-    command_name = ctx.invoked_subcommand or "root"
-    ctx.with_resource(
-        telemetry.operation(
-            f"cli.command.{command_name}",
-            entrypoint="cli",
-            command_name=command_name,
-        )
-    )

    # --- Composition Root ---
    # Create container and read config (single point of config access)
    container = CliContainer.create()
    set_container(container)

-    # Trigger: first-run init confirmation before command output.
-    # Why: informational "initialized" message belongs above command results, not in the upsell panel.
-    # Outcome: one-time plain line printed before the subcommand runs.
-    maybe_show_init_line(ctx.invoked_subcommand)
-
-    # Trigger: register post-command messaging callbacks.
-    # Why: informational/promo/update output belongs below command results.
-    # Outcome: command output remains primary, with optional follow-up notices afterwards.
-    def _post_command_messages() -> None:
-        maybe_show_cloud_promo(ctx.invoked_subcommand)
-        maybe_run_periodic_auto_update(ctx.invoked_subcommand)
-
-    ctx.call_on_close(_post_command_messages)
+    maybe_show_cloud_promo(ctx.invoked_subcommand)

    # Run initialization for commands that don't use the API
    # Skip for 'mcp' command - it has its own lifespan that handles initialization
@@ -84,7 +62,6 @@ def app_callback(
        "tool",
        "reset",
        "reindex",
-        "update",
        "watch",
    }
    if (
@@ -1,389 +0,0 @@
-"""Automatic update checks and upgrades for the Basic Memory CLI."""
-
-from __future__ import annotations
-
-import json
-import subprocess
-import sys
-import urllib.error
-import urllib.request
-from dataclasses import dataclass
-from datetime import datetime, timedelta
-from enum import Enum
-
-from loguru import logger
-from packaging.version import InvalidVersion, Version
-from rich.console import Console
-
-import basic_memory
-from basic_memory.config import ConfigManager
-
-PACKAGE_NAME = "basic-memory"
-PYPI_JSON_URL = "https://pypi.org/pypi/basic-memory/json"
-
-PYPI_TIMEOUT_SECONDS = 5
-BREW_OUTDATED_TIMEOUT_SECONDS = 15
-UV_UPGRADE_TIMEOUT_SECONDS = 180
-BREW_UPGRADE_TIMEOUT_SECONDS = 600
-
-
-class InstallSource(str, Enum):
-    """How the running CLI appears to have been installed."""
-
-    HOMEBREW = "homebrew"
-    UV_TOOL = "uv_tool"
-    UVX = "uvx"
-    UNKNOWN = "unknown"
-
-
-class AutoUpdateStatus(str, Enum):
-    """Result classification for update checks and installs."""
-
-    SKIPPED = "skipped"
-    UP_TO_DATE = "up_to_date"
-    UPDATE_AVAILABLE = "update_available"
-    UPDATED = "updated"
-    FAILED = "failed"
-
-
-@dataclass(frozen=True)
-class AutoUpdateResult:
-    """Structured result for update checks/install attempts."""
-
-    status: AutoUpdateStatus
-    source: InstallSource
-    checked: bool
-    update_available: bool
-    updated: bool
-    latest_version: str | None = None
-    message: str | None = None
-    error: str | None = None
-    restart_recommended: bool = False
-
-
-def detect_install_source(executable: str | None = None) -> InstallSource:
-    """Infer installation source from the active interpreter path."""
-    active_executable = executable or sys.executable
-    normalized = active_executable.lower().replace("\\", "/")
-
-    if "cellar/basic-memory" in normalized:
-        return InstallSource.HOMEBREW
-    if "uv/tools/basic-memory" in normalized:
-        return InstallSource.UV_TOOL
-    if "/uv/archive-" in normalized:
-        return InstallSource.UVX
-    return InstallSource.UNKNOWN
-
-
-def _is_interactive_session() -> bool:
-    """Return whether stdin/stdout are interactive terminals."""
-    try:
-        return sys.stdin.isatty() and sys.stdout.isatty()
-    except ValueError:
-        # Trigger: stdin/stdout may be closed during transport teardown.
-        # Why: isatty() raises ValueError on closed descriptors.
-        # Outcome: treat as non-interactive and suppress periodic output.
-        return False
-
-
-def _run_subprocess(
-    command: list[str],
-    *,
-    timeout_seconds: int,
-    silent: bool,
-    capture_output: bool,
-) -> subprocess.CompletedProcess[str]:
-    """Run a subprocess with explicit stdio behavior for protocol safety."""
-    # Trigger: silent operation (MCP/background) with no need for subprocess output.
-    # Why: prevent protocol/terminal pollution from child process output.
-    # Outcome: stdout/stderr are discarded unless explicit capture is requested.
-    use_devnull = silent and not capture_output
-    stdout_target = subprocess.DEVNULL if use_devnull else subprocess.PIPE
-    stderr_target = subprocess.DEVNULL if use_devnull else subprocess.PIPE
-
-    return subprocess.run(
-        command,
-        stdin=subprocess.DEVNULL,
-        stdout=stdout_target,
-        stderr=stderr_target,
-        text=True,
-        timeout=timeout_seconds,
-        check=False,
-    )
-
-
-def _version_from_pypi() -> str:
-    """Fetch the latest published package version from PyPI."""
-    request = urllib.request.Request(
-        PYPI_JSON_URL,
-        headers={"User-Agent": f"basic-memory-cli/{basic_memory.__version__}"},
-    )
-    with urllib.request.urlopen(request, timeout=PYPI_TIMEOUT_SECONDS) as response:
-        payload = json.loads(response.read().decode("utf-8"))
-    latest = payload.get("info", {}).get("version")
-    if not latest:
-        raise RuntimeError("PyPI JSON response did not include info.version")
-    return str(latest)
-
-
-def _check_homebrew_update_available(silent: bool) -> tuple[bool, str | None]:
-    """Check whether Homebrew reports an outdated basic-memory formula."""
-    result = _run_subprocess(
-        ["brew", "outdated", "--quiet", PACKAGE_NAME],
-        timeout_seconds=BREW_OUTDATED_TIMEOUT_SECONDS,
-        silent=silent,
-        capture_output=True,
-    )
-    # Trigger: brew outdated exits 1 when the formula IS outdated (with name on stdout).
-    # Why: non-zero exit here means "outdated", not "error".
-    # Outcome: check stdout for the package name to determine outdated status.
-    stdout = (result.stdout or "").strip()
-    is_outdated = PACKAGE_NAME in stdout
-    return is_outdated, None
-
-
-def _check_pypi_update_available() -> tuple[bool, str]:
-    """Compare installed package version with PyPI latest version."""
-    latest = _version_from_pypi()
-    try:
-        current_version = Version(basic_memory.__version__)
-        latest_version = Version(latest)
-    except InvalidVersion as exc:
-        raise RuntimeError(
-            f"Could not compare versions (current={basic_memory.__version__}, latest={latest})"
-        ) from exc
-
-    return latest_version > current_version, latest
-
-
-def _manual_update_hint(source: InstallSource) -> str:
-    """Return manager-appropriate manual update instructions."""
-    if source == InstallSource.UV_TOOL:
-        return "Run `uv tool upgrade basic-memory`."
-    if source == InstallSource.HOMEBREW:
-        return "Run `brew upgrade basic-memory`."
-    return (
-        "Automatic install is not supported for this environment. "
-        "Update with your package manager (for pip: `python3 -m pip install -U basic-memory`)."
-    )
-
-
-def _save_last_checked_timestamp(config_manager: ConfigManager, checked_at: datetime) -> None:
-    """Persist the timestamp for the most recent attempted update check."""
-    config = config_manager.load_config()
-    config.auto_update_last_checked_at = checked_at
-    config_manager.save_config(config)
-
-
-def run_auto_update(
-    *,
-    force: bool = False,
-    check_only: bool = False,
-    silent: bool = False,
-    config_manager: ConfigManager | None = None,
-    now: datetime | None = None,
-    executable: str | None = None,
-) -> AutoUpdateResult:
-    """Run update check/install flow and return a structured result."""
-    manager = config_manager or ConfigManager()
-    config = manager.load_config()
-    source = detect_install_source(executable)
-    checked_at = now or datetime.now()
-
-    if source == InstallSource.UVX:
-        return AutoUpdateResult(
-            status=AutoUpdateStatus.SKIPPED,
-            source=source,
-            checked=False,
-            update_available=False,
-            updated=False,
-            message="uvx runtime detected; updates are managed by uvx cache resolution.",
-        )
-
-    if not force and not config.auto_update:
-        return AutoUpdateResult(
-            status=AutoUpdateStatus.SKIPPED,
-            source=source,
-            checked=False,
-            update_available=False,
-            updated=False,
-            message="Auto-update is disabled in config.",
-        )
-
-    if not force and config.auto_update_last_checked_at is not None:
-        try:
-            elapsed = checked_at - config.auto_update_last_checked_at
-        except TypeError:
-            # Trigger: mixed naive/aware datetimes from manual config edits.
-            # Why: datetime subtraction fails for mixed tz-awareness.
-            # Outcome: ignore the gate once and continue with a forced check path.
-            logger.warning("Auto-update interval gate skipped due to incompatible timestamp format")
-        else:
-            if elapsed < timedelta(seconds=config.update_check_interval):
-                return AutoUpdateResult(
-                    status=AutoUpdateStatus.SKIPPED,
-                    source=source,
-                    checked=False,
-                    update_available=False,
-                    updated=False,
-                    message="Update check interval has not elapsed.",
-                )
-
-    try:
-        # --- Availability check ---
-        latest_version: str | None = None
-        if source == InstallSource.HOMEBREW:
-            update_available, latest_version = _check_homebrew_update_available(silent=silent)
-        else:
-            update_available, latest_version = _check_pypi_update_available()
-
-        if not update_available:
-            return AutoUpdateResult(
-                status=AutoUpdateStatus.UP_TO_DATE,
-                source=source,
-                checked=True,
-                update_available=False,
-                updated=False,
-                latest_version=latest_version,
-                message=f"Basic Memory is up to date ({basic_memory.__version__}).",
-            )
-
-        if check_only:
-            return AutoUpdateResult(
-                status=AutoUpdateStatus.UPDATE_AVAILABLE,
-                source=source,
-                checked=True,
-                update_available=True,
-                updated=False,
-                latest_version=latest_version,
-                message=(
-                    f"Update available (latest: {latest_version or 'unknown'}). "
-                    f"{_manual_update_hint(source)}"
-                ),
-            )
-
-        if source == InstallSource.UNKNOWN:
-            return AutoUpdateResult(
-                status=AutoUpdateStatus.UPDATE_AVAILABLE,
-                source=source,
-                checked=True,
-                update_available=True,
-                updated=False,
-                latest_version=latest_version,
-                message=(
-                    f"Update available (latest: {latest_version or 'unknown'}). "
-                    f"{_manual_update_hint(source)}"
-                ),
-            )
-
-        # --- Automatic install ---
-        command = (
-            ["uv", "tool", "upgrade", PACKAGE_NAME]
-            if source == InstallSource.UV_TOOL
-            else ["brew", "upgrade", PACKAGE_NAME]
-        )
-        timeout = (
-            UV_UPGRADE_TIMEOUT_SECONDS
-            if source == InstallSource.UV_TOOL
-            else BREW_UPGRADE_TIMEOUT_SECONDS
-        )
-
-        install_result = _run_subprocess(
-            command,
-            timeout_seconds=timeout,
-            silent=silent,
-            capture_output=not silent,
-        )
-        if install_result.returncode != 0:
-            stderr = (install_result.stderr or "").strip() if install_result.stderr else ""
-            stdout = (install_result.stdout or "").strip() if install_result.stdout else ""
-            detail = stderr or stdout or "update command failed"
-            return AutoUpdateResult(
-                status=AutoUpdateStatus.FAILED,
-                source=source,
-                checked=True,
-                update_available=True,
-                updated=False,
-                latest_version=latest_version,
-                message="Automatic update failed.",
-                error=detail,
-            )
-
-        return AutoUpdateResult(
-            status=AutoUpdateStatus.UPDATED,
-            source=source,
-            checked=True,
-            update_available=True,
-            updated=True,
-            latest_version=latest_version,
-            message=(
-                "Basic Memory was updated successfully. "
-                "Restart running sessions to use the new version."
-            ),
-            restart_recommended=True,
-        )
-
-    except (
-        RuntimeError,
-        urllib.error.URLError,
-        ValueError,
-        TimeoutError,
-        subprocess.SubprocessError,
-        OSError,
-    ) as exc:
-        logger.warning(f"Auto-update check failed: {exc}")
-        return AutoUpdateResult(
-            status=AutoUpdateStatus.FAILED,
-            source=source,
-            checked=True,
-            update_available=False,
-            updated=False,
-            message="Automatic update check failed.",
-            error=str(exc),
-        )
-    finally:
-        # Trigger: we attempted a check path (including failures).
-        # Why: repeated failing checks on every command create noise and unnecessary network load.
-        # Outcome: next periodic check is gated by update_check_interval.
-        try:
-            _save_last_checked_timestamp(manager, checked_at)
-        except Exception as exc:  # pragma: no cover
-            logger.warning(f"Failed to persist auto-update timestamp: {exc}")
-
-
-def maybe_run_periodic_auto_update(
-    invoked_subcommand: str | None,
-    *,
-    config_manager: ConfigManager | None = None,
-    is_interactive: bool | None = None,
-    console: Console | None = None,
-) -> AutoUpdateResult | None:
-    """Run a periodic auto-update check for interactive CLI sessions."""
-    interactive = _is_interactive_session() if is_interactive is None else is_interactive
-    if not interactive:
-        return None
-    if invoked_subcommand in {None, "mcp", "update"}:
-        return None
-
-    result = run_auto_update(
-        force=False,
-        check_only=False,
-        silent=False,
-        config_manager=config_manager,
-    )
-
-    if result.status in {
-        AutoUpdateStatus.UPDATE_AVAILABLE,
-        AutoUpdateStatus.UPDATED,
-        AutoUpdateStatus.FAILED,
-    }:
-        out = console or Console()
-        if result.status == AutoUpdateStatus.UPDATED:
-            out.print(f"[green]{result.message}[/green]")
-        elif result.status == AutoUpdateStatus.FAILED:
-            error_detail = f" {result.error}" if result.error else ""
-            out.print(f"[yellow]{result.message}{error_detail}[/yellow]")
-        elif result.message:
-            out.print(f"[cyan]{result.message}[/cyan]")
-
-    return result
@@ -1,15 +1,7 @@
 """CLI commands for basic-memory."""

 from . import status, db, doctor, import_memory_json, mcp, import_claude_conversations
-from . import (
-    import_claude_projects,
-    import_chatgpt,
-    tool,
-    project,
-    format,
-    schema,
-    update,
-)
+from . import import_claude_projects, import_chatgpt, tool, project, format, schema, watch

 __all__ = [
    "status",
@@ -24,5 +16,5 @@ __all__ = [
    "project",
    "format",
    "schema",
-    "update",
+    "watch",
 ]
@@ -6,14 +6,11 @@ from basic_memory.cli.app import cloud_app
 from basic_memory.cli.commands.cloud.core_commands import *  # noqa: F401,F403
 from basic_memory.cli.commands.cloud.api_client import get_authenticated_headers, get_cloud_config  # noqa: F401
 from basic_memory.cli.commands.cloud.upload_command import *  # noqa: F401,F403
-from basic_memory.cli.commands.cloud.project_sync import *  # noqa: F401,F403

 # Register snapshot sub-command group
 from basic_memory.cli.commands.cloud.snapshot import snapshot_app
-from basic_memory.cli.commands.cloud.workspace import workspace_app

 cloud_app.add_typer(snapshot_app, name="snapshot")
-cloud_app.add_typer(workspace_app, name="workspace")

 # Register restore command (directly on cloud_app via decorator)
 from basic_memory.cli.commands.cloud.restore import restore  # noqa: F401, E402
@@ -45,26 +45,14 @@ def get_cloud_config() -> tuple[str, str, str]:

 async def get_authenticated_headers(auth: CLIAuth | None = None) -> dict[str, str]:
    """
-    Get authentication headers for cloud API requests.
-
-    Credential priority mirrors async_client._resolve_cloud_token():
-      1. API key (config.cloud_api_key) — fast, no refresh needed
-      2. OAuth token via CLIAuth — handles JWT refresh automatically
+    Get authentication headers with JWT token.
+    handles jwt refresh if needed.
    """
-    # --- API key (preferred) ---
-    config_manager = ConfigManager()
-    api_key = config_manager.config.cloud_api_key
-    if api_key:
-        return {"Authorization": f"Bearer {api_key}"}
-
-    # --- OAuth fallback ---
    client_id, domain, _ = get_cloud_config()
    auth_obj = auth or CLIAuth(client_id=client_id, authkit_domain=domain)
    token = await auth_obj.get_valid_token()
    if not token:
-        console.print(
-            "[red]Not authenticated. Run 'bm cloud set-key <key>' or 'bm cloud login' first.[/red]"
-        )
+        console.print("[red]Not authenticated. Please run 'basic-memory cloud login' first.[/red]")
        raise typer.Exit(1)

    return {"Authorization": f"Bearer {token}"}
@@ -2,12 +2,10 @@

 from basic_memory.cli.commands.cloud.api_client import make_api_request
 from basic_memory.config import ConfigManager
-from basic_memory.mcp.async_client import resolve_configured_workspace
 from basic_memory.schemas.cloud import (
    CloudProjectList,
    CloudProjectCreateRequest,
    CloudProjectCreateResponse,
-    ProjectVisibility,
 )
 from basic_memory.utils import generate_permalink

@@ -18,25 +16,8 @@ class CloudUtilsError(Exception):
    pass


-def _workspace_headers(
-    *,
-    project_name: str | None = None,
-    workspace: str | None = None,
-) -> dict[str, str]:
-    """Build optional workspace headers using the CLI config resolution chain."""
-    resolved_workspace = resolve_configured_workspace(
-        project_name=project_name,
-        workspace=workspace,
-    )
-    if resolved_workspace is None:
-        return {}
-    return {"X-Workspace-ID": resolved_workspace}
-
-
 async def fetch_cloud_projects(
    *,
-    project_name: str | None = None,
-    workspace: str | None = None,
    api_request=make_api_request,
 ) -> CloudProjectList:
    """Fetch list of projects from cloud API.
@@ -49,11 +30,7 @@ async def fetch_cloud_projects(
        config = config_manager.config
        host_url = config.cloud_host.rstrip("/")

-        response = await api_request(
-            method="GET",
-            url=f"{host_url}/proxy/v2/projects/",
-            headers=_workspace_headers(project_name=project_name, workspace=workspace),
-        )
+        response = await api_request(method="GET", url=f"{host_url}/proxy/v2/projects/")

        return CloudProjectList.model_validate(response.json())
    except Exception as e:
@@ -63,16 +40,12 @@ async def fetch_cloud_projects(
 async def create_cloud_project(
    project_name: str,
    *,
-    workspace: str | None = None,
-    visibility: ProjectVisibility = "workspace",
    api_request=make_api_request,
 ) -> CloudProjectCreateResponse:
    """Create a new project on cloud.

    Args:
        project_name: Name of project to create
-        workspace: Optional workspace override for tenant-scoped project creation
-        visibility: Visibility for the created cloud project

    Returns:
        CloudProjectCreateResponse with project details from API
@@ -89,16 +62,12 @@ async def create_cloud_project(
            name=project_name,
            path=project_path,
            set_default=False,
-            visibility=visibility,
        )

        response = await api_request(
            method="POST",
            url=f"{host_url}/proxy/v2/projects/",
-            headers={
-                "Content-Type": "application/json",
-                **_workspace_headers(project_name=project_name, workspace=workspace),
-            },
+            headers={"Content-Type": "application/json"},
            json_data=project_data.model_dump(),
        )

@@ -122,28 +91,18 @@ async def sync_project(project_name: str, force_full: bool = False) -> None:
        raise CloudUtilsError(f"Failed to sync project '{project_name}': {e}") from e


-async def project_exists(
-    project_name: str,
-    *,
-    workspace: str | None = None,
-    api_request=make_api_request,
-) -> bool:
+async def project_exists(project_name: str, *, api_request=make_api_request) -> bool:
    """Check if a project exists on cloud.

    Args:
        project_name: Name of project to check
-        workspace: Optional workspace override for tenant-scoped project lookup

    Returns:
        True if project exists, False otherwise
-
-    Raises:
-        CloudUtilsError: If the project list cannot be fetched from cloud
    """
-    projects = await fetch_cloud_projects(
-        project_name=project_name,
-        workspace=workspace,
-        api_request=api_request,
-    )
-    project_names = {p.name for p in projects.projects}
-    return project_name in project_names
+    try:
+        projects = await fetch_cloud_projects(api_request=api_request)
+        project_names = {p.name for p in projects.projects}
+        return project_name in project_names
+    except Exception:
+        return False
@@ -6,13 +6,6 @@ from rich.console import Console
 from basic_memory.cli.app import cloud_app
 from basic_memory.cli.commands.command_utils import run_with_cleanup
 from basic_memory.cli.auth import CLIAuth
-from basic_memory.cli.analytics import (
-    track,
-    EVENT_CLOUD_LOGIN_STARTED,
-    EVENT_CLOUD_LOGIN_SUCCESS,
-    EVENT_CLOUD_LOGIN_SUB_REQUIRED,
-    EVENT_PROMO_OPTED_OUT,
-)
 from basic_memory.cli.promo import OSS_DISCOUNT_CODE
 from basic_memory.config import ConfigManager
 from basic_memory.cli.commands.cloud.api_client import (
@@ -37,10 +30,9 @@ console = Console()

@cloud_app.command()
 def login():
-    """Authenticate with WorkOS using OAuth Device Authorization flow."""
+    """Authenticate with WorkOS using OAuth Device Authorization flow and enable cloud mode."""

    async def _login():
-        track(EVENT_CLOUD_LOGIN_STARTED)
        client_id, domain, host_url = get_cloud_config()
        auth = CLIAuth(client_id=client_id, authkit_domain=domain)

@@ -54,16 +46,21 @@ def login():
            console.print("[dim]Verifying subscription access...[/dim]")
            await make_api_request("GET", f"{host_url.rstrip('/')}/proxy/health")

-            track(EVENT_CLOUD_LOGIN_SUCCESS)
-            console.print("[green]Cloud authentication successful[/green]")
-            console.print(f"[dim]Cloud host ready: {host_url}[/dim]")
+            # Enable cloud mode after successful login and subscription validation
+            config_manager = ConfigManager()
+            config = config_manager.load_config()
+            config.cloud_mode = True
+            config_manager.save_config(config)
+
+            console.print("[green]Cloud mode enabled[/green]")
+            console.print(f"[dim]All CLI commands now work against {host_url}[/dim]")

        except SubscriptionRequiredError as e:
-            track(EVENT_CLOUD_LOGIN_SUB_REQUIRED)
            console.print("\n[red]Subscription Required[/red]\n")
            console.print(f"[yellow]{e.args[0]}[/yellow]\n")
            console.print(
-                f"OSS discount code: [bold]{OSS_DISCOUNT_CODE}[/bold] (20% off for 3 months)\n"
+                f"OSS discount code: [bold]{OSS_DISCOUNT_CODE}[/bold] "
+                "(20% off for 3 months)\n"
            )
            console.print(f"Subscribe at: [blue underline]{e.subscribe_url}[/blue underline]\n")
            console.print(
@@ -76,56 +73,71 @@ def login():

@cloud_app.command()
 def logout():
-    """Remove stored OAuth tokens."""
-    config = ConfigManager().config
-    auth = CLIAuth(client_id=config.cloud_client_id, authkit_domain=config.cloud_domain)
-    auth.logout()
-    console.print("[dim]API key (if configured) remains available for cloud project routing.[/dim]")
+    """Disable cloud mode and return to local mode."""
+
+    # Disable cloud mode
+    config_manager = ConfigManager()
+    config = config_manager.load_config()
+    config.cloud_mode = False
+    config_manager.save_config(config)
+
+    console.print("[green]Cloud mode disabled[/green]")
+    console.print("[dim]All CLI commands now work locally[/dim]")


@cloud_app.command("status")
 def status() -> None:
-    """Check cloud authentication and connection status."""
+    """Check cloud mode status and cloud instance health."""
+    # Check cloud mode
    config_manager = ConfigManager()
    config = config_manager.load_config()
-    auth = CLIAuth(client_id=config.cloud_client_id, authkit_domain=config.cloud_domain)
-    tokens = auth.load_tokens()

-    console.print("[bold blue]Cloud Status[/bold blue]")
-    console.print(f"  Host: {config.cloud_host}")
-    console.print(
-        f"  API Key: {'[green]configured[/green]' if config.cloud_api_key else '[yellow]not set[/yellow]'}"
-    )
-
-    oauth_status = "[yellow]not logged in[/yellow]"
-    if tokens:
-        if auth.is_token_valid(tokens):
-            oauth_status = "[green]token valid[/green]"
-        else:
-            oauth_status = "[yellow]token expired[/yellow]"
-    console.print(f"  OAuth: {oauth_status}")
-
-    has_credentials = bool(config.cloud_api_key) or tokens is not None
-    if not has_credentials:
-        console.print(
-            "\n[dim]No cloud credentials found. Run: bm cloud login or bm cloud api-key save <key>[/dim]"
-        )
+    console.print("[bold blue]Cloud Mode Status[/bold blue]")
+    if config.cloud_mode:
+        console.print("  Mode: [green]Cloud (enabled)[/green]")
+        console.print(f"  Host: {config.cloud_host}")
+        console.print("  [dim]All CLI commands work against cloud[/dim]")
+    else:
+        console.print("  Mode: [yellow]Local (disabled)[/yellow]")
+        console.print("  [dim]All CLI commands work locally[/dim]")
+        console.print("\n[dim]To enable cloud mode, run: bm cloud login[/dim]")
        return

-    # Quick connection check — just verify we can reach the cloud
+    # Get cloud configuration
    _, _, host_url = get_cloud_config()
    host_url = host_url.rstrip("/")

+    # Prepare headers
+    headers = {}
+
    try:
-        run_with_cleanup(make_api_request(method="GET", url=f"{host_url}/proxy/health"))
-        console.print("\n[green]Cloud connected[/green]")
-    except CloudAPIError:
-        console.print("\n[yellow]Cloud not connected[/yellow]")
-        console.print(
-            "[dim]Try re-authenticating with 'bm cloud login' or 'bm cloud api-key save'.[/dim]"
+        console.print("\n[blue]Checking cloud instance health...[/blue]")
+
+        # Make API request to check health
+        response = run_with_cleanup(
+            make_api_request(method="GET", url=f"{host_url}/proxy/health", headers=headers)
        )
-    except Exception:
-        console.print("\n[yellow]Cloud not connected[/yellow]")
+
+        health_data = response.json()
+
+        console.print("[green]Cloud instance is healthy[/green]")
+
+        # Display status details
+        if "status" in health_data:
+            console.print(f"  Status: {health_data['status']}")
+        if "version" in health_data:
+            console.print(f"  Version: {health_data['version']}")
+        if "timestamp" in health_data:
+            console.print(f"  Timestamp: {health_data['timestamp']}")
+
+        console.print("\n[dim]To sync projects, use: bm project bisync --name <project>[/dim]")
+
+    except CloudAPIError as e:
+        console.print(f"[red]Error checking cloud health: {e}[/red]")
+        raise typer.Exit(1)
+    except Exception as e:
+        console.print(f"[red]Unexpected error: {e}[/red]")
+        raise typer.Exit(1)


@cloud_app.command("setup")
@@ -133,7 +145,7 @@ def setup() -> None:
    """Set up cloud sync by installing rclone and configuring credentials.

    After setup, use project commands for syncing:
-      bm project add <name> --cloud --local-path ~/projects/<name>
+      bm project add <name> <path> --local-path ~/projects/<name>
      bm project bisync --name <name> --resync  # First time
      bm project bisync --name <name>            # Subsequent syncs
    """
@@ -165,7 +177,7 @@ def setup() -> None:
        console.print("\n[bold green]Cloud setup completed successfully![/bold green]")
        console.print("\n[bold]Next steps:[/bold]")
        console.print("1. Add a project with local sync path:")
-        console.print("   bm project add research --cloud --local-path ~/Documents/research")
+        console.print("   bm project add research --local-path ~/Documents/research")
        console.print("\n   Or configure sync for an existing project:")
        console.print("   bm project sync-setup research ~/Documents/research")
        console.print("\n2. Preview the initial sync (recommended):")
@@ -197,26 +209,20 @@ def promo(enabled: bool = typer.Option(True, "--on/--off", help="Enable or disab
    if enabled:
        console.print("[green]Cloud promo messages enabled[/green]")
    else:
-        track(EVENT_PROMO_OPTED_OUT)
        console.print("[yellow]Cloud promo messages disabled[/yellow]")


-# --- API key management subcommand group ---
-
-api_key_app = typer.Typer(help="Manage cloud API keys")
-cloud_app.add_typer(api_key_app, name="api-key")
-
-
-@api_key_app.command("save")
-def api_key_save(
+@cloud_app.command("set-key")
+def set_key(
    api_key: str = typer.Argument(..., help="API key (bmc_ prefixed) for cloud access"),
 ) -> None:
-    """Save an existing API key to local config.
+    """Save a cloud API key for per-project cloud routing.

-    Use when you already have an API key (e.g., from the web app).
+    The API key is account-level and used by projects set to cloud mode.
+    Create a key in the web app or use 'bm cloud create-key'.

    Example:
-      bm cloud api-key save bmc_abc123...
+      bm cloud set-key bmc_abc123...
    """
    if not api_key.startswith("bmc_"):
        console.print("[red]Error: API key must start with 'bmc_'[/red]")
@@ -232,16 +238,17 @@ def api_key_save(
    console.print("[dim]Set a project to cloud mode: bm project set-cloud <name>[/dim]")


-@api_key_app.command("create")
-def api_key_create(
+@cloud_app.command("create-key")
+def create_key(
    name: str = typer.Argument(..., help="Human-readable name for the API key"),
 ) -> None:
-    """Create a new API key via the cloud API and save it locally.
+    """Create a new cloud API key and save it locally.

    Requires active OAuth session (run 'bm cloud login' first).
+    The key is created via the cloud API and saved to local config.

    Example:
-      bm cloud api-key create "my-laptop"
+      bm cloud create-key "my-laptop"
    """

    async def _create_key():
@@ -1,375 +0,0 @@
-"""Cloud sync commands for Basic Memory projects.
-
-Commands for syncing, bisyncing, and checking integrity between local and cloud
-project instances. These were previously in project.py but belong here since
-they are cloud-specific operations.
-"""
-
-import os
-from datetime import datetime
-
-import typer
-from rich.console import Console
-
-from basic_memory.cli.app import cloud_app
-from basic_memory.cli.commands.cloud.bisync_commands import get_mount_info
-from basic_memory.cli.commands.cloud.rclone_commands import (
-    RcloneError,
-    SyncProject,
-    get_project_bisync_state,
-    project_bisync,
-    project_check,
-    project_sync,
-)
-from basic_memory.cli.commands.command_utils import run_with_cleanup
-from basic_memory.cli.commands.routing import force_routing
-from basic_memory.config import ConfigManager, ProjectEntry
-from basic_memory.mcp.async_client import get_client
-from basic_memory.mcp.clients import ProjectClient
-from basic_memory.schemas.project_info import ProjectItem
-from basic_memory.utils import generate_permalink, normalize_project_path
-
-console = Console()
-
-
-# --- Shared helpers ---
-
-
-def _has_cloud_credentials(config) -> bool:
-    """Return whether cloud credentials are available (API key or OAuth token)."""
-    from basic_memory.config import has_cloud_credentials
-
-    return has_cloud_credentials(config)
-
-
-def _require_cloud_credentials(config) -> None:
-    """Exit with actionable guidance when cloud credentials are missing."""
-    if _has_cloud_credentials(config):
-        return
-
-    console.print("[red]Error: cloud credentials are required for this command[/red]")
-    console.print("[dim]Run 'bm cloud login' or 'bm cloud api-key save <key>' first[/dim]")
-    raise typer.Exit(1)
-
-
-async def _get_cloud_project(name: str) -> ProjectItem | None:
-    """Fetch a project by name from the cloud API."""
-    async with get_client(project_name=name) as client:
-        projects_list = await ProjectClient(client).list_projects()
-        for proj in projects_list.projects:
-            if generate_permalink(proj.name) == generate_permalink(name):
-                return proj
-        return None
-
-
-def _get_sync_project(
-    name: str, config, project_data: ProjectItem
-) -> tuple[SyncProject, str | None]:
-    """Build a SyncProject and resolve local_sync_path from config.
-
-    Returns (sync_project, local_sync_path). Exits if no local_sync_path configured.
-    """
-    sync_entry = config.projects.get(name)
-    # Support both new (path) and legacy (local_sync_path) configs
-    local_sync_path = (sync_entry.local_sync_path or sync_entry.path) if sync_entry else None
-
-    if not local_sync_path or not os.path.isabs(local_sync_path):
-        console.print(f"[red]Error: Project '{name}' has no local sync path configured[/red]")
-        console.print(f"\nConfigure sync with: bm cloud sync-setup {name} ~/path/to/local")
-        raise typer.Exit(1)
-
-    sync_project = SyncProject(
-        name=project_data.name,
-        path=normalize_project_path(project_data.path),
-        local_sync_path=local_sync_path,
-    )
-    return sync_project, local_sync_path
-
-
-# --- Commands ---
-
-
-@cloud_app.command("sync")
-def sync_project_command(
-    name: str = typer.Option(..., "--name", help="Project name to sync"),
-    dry_run: bool = typer.Option(False, "--dry-run", help="Preview changes without syncing"),
-    verbose: bool = typer.Option(False, "--verbose", "-v", help="Show detailed output"),
-) -> None:
-    """One-way sync: local -> cloud (make cloud identical to local).
-
-    Example:
-      bm cloud sync --name research
-      bm cloud sync --name research --dry-run
-    """
-    config = ConfigManager().config
-    _require_cloud_credentials(config)
-
-    try:
-        # Get tenant info for bucket name
-        tenant_info = run_with_cleanup(get_mount_info())
-        bucket_name = tenant_info.bucket_name
-
-        # Get project info
-        with force_routing(cloud=True):
-            project_data = run_with_cleanup(_get_cloud_project(name))
-        if not project_data:
-            console.print(f"[red]Error: Project '{name}' not found[/red]")
-            raise typer.Exit(1)
-
-        sync_project, local_sync_path = _get_sync_project(name, config, project_data)
-
-        # Run sync
-        console.print(f"[blue]Syncing {name} (local -> cloud)...[/blue]")
-        success = project_sync(sync_project, bucket_name, dry_run=dry_run, verbose=verbose)
-
-        if success:
-            console.print(f"[green]{name} synced successfully[/green]")
-
-            # Trigger database sync if not a dry run
-            if not dry_run:
-
-                async def _trigger_db_sync():
-                    async with get_client(project_name=name) as client:
-                        return await ProjectClient(client).sync(
-                            project_data.external_id, force_full=False
-                        )
-
-                try:
-                    with force_routing(cloud=True):
-                        result = run_with_cleanup(_trigger_db_sync())
-                    console.print(f"[dim]Database sync initiated: {result.get('message')}[/dim]")
-                except Exception as e:
-                    console.print(f"[yellow]Warning: Could not trigger database sync: {e}[/yellow]")
-        else:
-            console.print(f"[red]{name} sync failed[/red]")
-            raise typer.Exit(1)
-
-    except RcloneError as e:
-        console.print(f"[red]Sync error: {e}[/red]")
-        raise typer.Exit(1)
-    except Exception as e:
-        console.print(f"[red]Error: {e}[/red]")
-        raise typer.Exit(1)
-
-
-@cloud_app.command("bisync")
-def bisync_project_command(
-    name: str = typer.Option(..., "--name", help="Project name to bisync"),
-    dry_run: bool = typer.Option(False, "--dry-run", help="Preview changes without syncing"),
-    resync: bool = typer.Option(False, "--resync", help="Force new baseline"),
-    verbose: bool = typer.Option(False, "--verbose", "-v", help="Show detailed output"),
-) -> None:
-    """Two-way sync: local <-> cloud (bidirectional sync).
-
-    Examples:
-      bm cloud bisync --name research --resync  # First time
-      bm cloud bisync --name research           # Subsequent syncs
-      bm cloud bisync --name research --dry-run # Preview changes
-    """
-    config = ConfigManager().config
-    _require_cloud_credentials(config)
-
-    try:
-        # Get tenant info for bucket name
-        tenant_info = run_with_cleanup(get_mount_info())
-        bucket_name = tenant_info.bucket_name
-
-        # Get project info
-        with force_routing(cloud=True):
-            project_data = run_with_cleanup(_get_cloud_project(name))
-        if not project_data:
-            console.print(f"[red]Error: Project '{name}' not found[/red]")
-            raise typer.Exit(1)
-
-        sync_project, local_sync_path = _get_sync_project(name, config, project_data)
-
-        # Run bisync
-        console.print(f"[blue]Bisync {name} (local <-> cloud)...[/blue]")
-        success = project_bisync(
-            sync_project, bucket_name, dry_run=dry_run, resync=resync, verbose=verbose
-        )
-
-        if success:
-            console.print(f"[green]{name} bisync completed successfully[/green]")
-
-            # Update config — sync_entry is guaranteed non-None because
-            # _get_sync_project validated local_sync_path (which comes from sync_entry)
-            sync_entry = config.projects.get(name)
-            if sync_entry is None:
-                raise RuntimeError(
-                    f"Sync entry for project '{name}' unexpectedly missing after validation"
-                )
-            sync_entry.last_sync = datetime.now()
-            sync_entry.bisync_initialized = True
-            ConfigManager().save_config(config)
-
-            # Trigger database sync if not a dry run
-            if not dry_run:
-
-                async def _trigger_db_sync():
-                    async with get_client(project_name=name) as client:
-                        return await ProjectClient(client).sync(
-                            project_data.external_id, force_full=False
-                        )
-
-                try:
-                    with force_routing(cloud=True):
-                        result = run_with_cleanup(_trigger_db_sync())
-                    console.print(f"[dim]Database sync initiated: {result.get('message')}[/dim]")
-                except Exception as e:
-                    console.print(f"[yellow]Warning: Could not trigger database sync: {e}[/yellow]")
-        else:
-            console.print(f"[red]{name} bisync failed[/red]")
-            raise typer.Exit(1)
-
-    except RcloneError as e:
-        console.print(f"[red]Bisync error: {e}[/red]")
-        raise typer.Exit(1)
-    except Exception as e:
-        console.print(f"[red]Error: {e}[/red]")
-        raise typer.Exit(1)
-
-
-@cloud_app.command("check")
-def check_project_command(
-    name: str = typer.Option(..., "--name", help="Project name to check"),
-    one_way: bool = typer.Option(False, "--one-way", help="Check one direction only (faster)"),
-) -> None:
-    """Verify file integrity between local and cloud.
-
-    Example:
-      bm cloud check --name research
-    """
-    config = ConfigManager().config
-    _require_cloud_credentials(config)
-
-    try:
-        # Get tenant info for bucket name
-        tenant_info = run_with_cleanup(get_mount_info())
-        bucket_name = tenant_info.bucket_name
-
-        # Get project info
-        with force_routing(cloud=True):
-            project_data = run_with_cleanup(_get_cloud_project(name))
-        if not project_data:
-            console.print(f"[red]Error: Project '{name}' not found[/red]")
-            raise typer.Exit(1)
-
-        sync_project, local_sync_path = _get_sync_project(name, config, project_data)
-
-        # Run check
-        console.print(f"[blue]Checking {name} integrity...[/blue]")
-        match = project_check(sync_project, bucket_name, one_way=one_way)
-
-        if match:
-            console.print(f"[green]{name} files match[/green]")
-        else:
-            console.print(f"[yellow]!{name} has differences[/yellow]")
-
-    except RcloneError as e:
-        console.print(f"[red]Check error: {e}[/red]")
-        raise typer.Exit(1)
-    except Exception as e:
-        console.print(f"[red]Error: {e}[/red]")
-        raise typer.Exit(1)
-
-
-@cloud_app.command("bisync-reset")
-def bisync_reset(
-    name: str = typer.Argument(..., help="Project name to reset bisync state for"),
-) -> None:
-    """Clear bisync state for a project.
-
-    This removes the bisync metadata files, forcing a fresh --resync on next bisync.
-    Useful when bisync gets into an inconsistent state or when remote path changes.
-    """
-    import shutil
-
-    try:
-        state_path = get_project_bisync_state(name)
-
-        if not state_path.exists():
-            console.print(f"[yellow]No bisync state found for project '{name}'[/yellow]")
-            return
-
-        # Remove the entire state directory
-        shutil.rmtree(state_path)
-        console.print(f"[green]Cleared bisync state for project '{name}'[/green]")
-        console.print("\nNext steps:")
-        console.print(f"  1. Preview: bm cloud bisync --name {name} --resync --dry-run")
-        console.print(f"  2. Sync: bm cloud bisync --name {name} --resync")
-
-    except Exception as e:
-        console.print(f"[red]Error clearing bisync state: {str(e)}[/red]")
-        raise typer.Exit(1)
-
-
-@cloud_app.command("sync-setup")
-def setup_project_sync(
-    name: str = typer.Argument(..., help="Project name"),
-    local_path: str = typer.Argument(..., help="Local sync directory"),
-) -> None:
-    """Configure local sync for an existing cloud project.
-
-    Example:
-      bm cloud sync-setup research ~/Documents/research
-    """
-    import os
-    from pathlib import Path
-
-    config_manager = ConfigManager()
-    config = config_manager.config
-    _require_cloud_credentials(config)
-
-    async def _verify_project_exists():
-        """Verify the project exists on cloud by listing all projects."""
-        async with get_client(project_name=name) as client:
-            projects_list = await ProjectClient(client).list_projects()
-            project_names = [p.name for p in projects_list.projects]
-            if name not in project_names:
-                raise ValueError(f"Project '{name}' not found on cloud")
-            return True
-
-    try:
-        # Verify project exists on cloud
-        with force_routing(cloud=True):
-            run_with_cleanup(_verify_project_exists())
-
-        # Resolve and create local path
-        resolved_path = Path(os.path.abspath(os.path.expanduser(local_path)))
-        resolved_path.mkdir(parents=True, exist_ok=True)
-
-        # Update project entry with sync path — path is always the local directory
-        entry = config.projects.get(name)
-        if entry:
-            entry.path = resolved_path.as_posix()
-            entry.local_sync_path = resolved_path.as_posix()
-            entry.bisync_initialized = False
-            entry.last_sync = None
-        else:
-            config.projects[name] = ProjectEntry(
-                path=resolved_path.as_posix(),
-                local_sync_path=resolved_path.as_posix(),
-            )
-        config_manager.save_config(config)
-
-        # Create the project in the local DB so the MCP server can immediately use it
-        async def _create_local_project():
-            async with get_client() as client:
-                data = {"name": name, "path": resolved_path.as_posix(), "set_default": False}
-                return await ProjectClient(client).create_project(data)
-
-        with force_routing(local=True):
-            try:
-                run_with_cleanup(_create_local_project())
-            except Exception:
-                pass  # Project may already exist locally; reconcile on next startup
-
-        console.print(f"[green]Sync configured for project '{name}'[/green]")
-        console.print(f"\nLocal sync path: {resolved_path}")
-        console.print("\nNext steps:")
-        console.print(f"  1. Preview: bm cloud bisync --name {name} --resync --dry-run")
-        console.print(f"  2. Sync: bm cloud bisync --name {name} --resync")
-    except Exception as e:
-        console.print(f"[red]Error configuring sync: {str(e)}[/red]")
-        raise typer.Exit(1)
@@ -223,9 +223,6 @@ def project_sync(
        *TIGRIS_CONSISTENCY_HEADERS,
        "--filter-from",
        str(filter_path),
-        # Prevent NUL byte padding on virtual filesystems (e.g. Google Drive File Stream)
-        # See: rclone/rclone#6801
-        "--local-no-preallocate",
    ]

    if verbose:
@@ -302,9 +299,6 @@ def project_bisync(
        str(filter_path),
        "--workdir",
        str(state_path),
-        # Prevent NUL byte padding on virtual filesystems (e.g. Google Drive File Stream)
-        # See: rclone/rclone#6801
-        "--local-no-preallocate",
    ]

    # Add --create-empty-src-dirs if rclone version supports it (v1.64+)
@@ -10,6 +10,7 @@ import httpx

 from basic_memory.ignore_utils import load_gitignore_patterns, should_ignore_path
 from basic_memory.mcp.async_client import get_client
+from basic_memory.mcp.tools.utils import call_put

 # Archive file extensions that should be skipped during upload
 ARCHIVE_EXTENSIONS = {".zip", ".tar", ".gz", ".bz2", ".xz", ".7z", ".rar", ".tgz", ".tbz2"}
@@ -23,7 +24,7 @@ async def upload_path(
    dry_run: bool = False,
    *,
    client_cm_factory: Callable[[], AbstractAsyncContextManager[httpx.AsyncClient]] | None = None,
-    put_func: Callable | None = None,
+    put_func=call_put,
 ) -> bool:
    """
    Upload a file or directory to cloud project via WebDAV.
@@ -116,20 +117,9 @@ async def upload_path(

                    # Upload via HTTP PUT to WebDAV endpoint with mtime header
                    # Using X-OC-Mtime (ownCloud/Nextcloud standard)
-                    if put_func is not None:
-                        # Test injection path
-                        response = await put_func(
-                            client,
-                            remote_path,
-                            content=content,
-                            headers={"X-OC-Mtime": str(mtime)},
-                        )
-                    else:
-                        response = await client.put(
-                            remote_path,
-                            content=content,
-                            headers={"X-OC-Mtime": str(mtime)},
-                        )
+                    response = await put_func(
+                        client, remote_path, content=content, headers={"X-OC-Mtime": str(mtime)}
+                    )
                    response.raise_for_status()

        # Format total size based on magnitude
@@ -1,6 +1,5 @@
 """Upload CLI commands for basic-memory projects."""

-from functools import partial
 from pathlib import Path

 import typer
@@ -9,16 +8,11 @@ from rich.console import Console
 from basic_memory.cli.app import cloud_app
 from basic_memory.cli.commands.command_utils import run_with_cleanup
 from basic_memory.cli.commands.cloud.cloud_utils import (
-    CloudUtilsError,
    create_cloud_project,
    project_exists,
    sync_project,
 )
 from basic_memory.cli.commands.cloud.upload import upload_path
-from basic_memory.mcp.async_client import (
-    get_cloud_control_plane_client,
-    resolve_configured_workspace,
-)

 console = Console()

@@ -78,20 +72,12 @@ def upload(
    """

    async def _upload():
-        resolved_workspace = resolve_configured_workspace(project_name=project)
-
-        try:
-            project_already_exists = await project_exists(project, workspace=resolved_workspace)
-        except CloudUtilsError as e:
-            console.print(f"[red]Failed to check cloud project '{project}': {e}[/red]")
-            raise typer.Exit(1)
-
        # Check if project exists
-        if not project_already_exists:
+        if not await project_exists(project):
            if create_project:
                console.print(f"[blue]Creating cloud project '{project}'...[/blue]")
                try:
-                    await create_cloud_project(project, workspace=resolved_workspace)
+                    await create_cloud_project(project)
                    console.print(f"[green]Created project '{project}'[/green]")
                except Exception as e:
                    console.print(f"[red]Failed to create project: {e}[/red]")
@@ -100,7 +86,7 @@ def upload(
                console.print(
                    f"[red]Project '{project}' does not exist.[/red]\n"
                    f"[yellow]Options:[/yellow]\n"
-                    f"  1. Create it first: bm project add {project} --cloud\n"
+                    f"  1. Create it first: bm project add {project}\n"
                    f"  2. Use --create-project flag to create automatically"
                )
                raise typer.Exit(1)
@@ -114,15 +100,7 @@ def upload(
            console.print(f"[blue]Uploading {path} to project '{project}'...[/blue]")

        success = await upload_path(
-            path,
-            project,
-            verbose=verbose,
-            use_gitignore=not no_gitignore,
-            dry_run=dry_run,
-            client_cm_factory=partial(
-                get_cloud_control_plane_client,
-                workspace=resolved_workspace,
-            ),
+            path, project, verbose=verbose, use_gitignore=not no_gitignore, dry_run=dry_run
        )
        if not success:
            console.print("[red]Upload failed[/red]")
@@ -133,10 +111,8 @@ def upload(
        else:
            console.print(f"[green]Successfully uploaded to '{project}'[/green]")

-        # Sync project if requested (skip on dry run).
-        # Trigger: upload adds new files the watcher has not observed locally.
-        # Why: force_full ensures those freshly uploaded files are indexed immediately.
-        # Outcome: upload keeps its eager reindex while sync/bisync stay incremental.
+        # Sync project if requested (skip on dry run)
+        # Force full scan after bisync to ensure database is up-to-date with synced files
        if sync and not dry_run:
            console.print(f"[blue]Syncing project '{project}'...[/blue]")
            try:
@@ -1,113 +0,0 @@
-"""Workspace commands for Basic Memory cloud workspaces."""
-
-import typer
-from rich.console import Console
-from rich.table import Table
-
-from basic_memory.cli.commands.command_utils import run_with_cleanup
-from basic_memory.config import ConfigManager
-from basic_memory.mcp.project_context import (
-    _workspace_choices,
-    _workspace_matches_identifier,
-    get_available_workspaces,
-)
-
-console = Console()
-
-workspace_app = typer.Typer(help="Manage cloud workspaces")
-
-
-@workspace_app.command("list")
-def list_workspaces() -> None:
-    """List cloud workspaces available to the current OAuth session."""
-
-    async def _list():
-        return await get_available_workspaces()
-
-    try:
-        workspaces = run_with_cleanup(_list())
-    except RuntimeError as exc:
-        console.print(f"[red]Error: {exc}[/red]")
-        raise typer.Exit(1)
-    except Exception as exc:  # pragma: no cover
-        console.print(f"[red]Error listing workspaces: {exc}[/red]")
-        raise typer.Exit(1)
-
-    if not workspaces:
-        console.print("[yellow]No accessible workspaces found.[/yellow]")
-        return
-
-    config = ConfigManager().config
-    default_ws = config.default_workspace
-
-    table = Table(title="Available Workspaces")
-    table.add_column("Name", style="cyan")
-    table.add_column("Type", style="blue")
-    table.add_column("Role", style="green")
-    table.add_column("Tenant ID", style="yellow")
-    table.add_column("Default", style="magenta")
-
-    for workspace in workspaces:
-        is_default = "[X]" if workspace.tenant_id == default_ws else ""
-        table.add_row(
-            workspace.name,
-            workspace.workspace_type,
-            workspace.role,
-            workspace.tenant_id,
-            is_default,
-        )
-
-    console.print(table)
-
-
-@workspace_app.command("set-default")
-def set_default_workspace(
-    identifier: str = typer.Argument(..., help="Workspace name or tenant_id to set as default"),
-) -> None:
-    """Set the default cloud workspace.
-
-    The default workspace is used as fallback when no per-project workspace
-    is configured. Resolves the identifier against available workspaces.
-
-    Examples:
-      bm cloud workspace set-default Personal
-      bm cloud workspace set-default 11111111-1111-1111-1111-111111111111
-    """
-
-    async def _list():
-        return await get_available_workspaces()
-
-    try:
-        workspaces = run_with_cleanup(_list())
-    except RuntimeError as exc:
-        console.print(f"[red]Error: {exc}[/red]")
-        raise typer.Exit(1)
-
-    if not workspaces:
-        console.print("[yellow]No accessible workspaces found.[/yellow]")
-        raise typer.Exit(1)
-
-    matches = [ws for ws in workspaces if _workspace_matches_identifier(ws, identifier)]
-
-    if not matches:
-        console.print(f"[red]Error: Workspace '{identifier}' not found[/red]")
-        console.print(f"[dim]Available:\n{_workspace_choices(workspaces)}[/dim]")
-        raise typer.Exit(1)
-
-    if len(matches) > 1:
-        console.print(
-            f"[red]Error: Workspace name '{identifier}' matches multiple workspaces. "
-            f"Use tenant_id instead.[/red]"
-        )
-        console.print(f"[dim]Available:\n{_workspace_choices(workspaces)}[/dim]")
-        raise typer.Exit(1)
-
-    selected = matches[0]
-    config_manager = ConfigManager()
-    config = config_manager.config
-    config.default_workspace = selected.tenant_id
-    config_manager.save_config(config)
-
-    console.print(
-        f"[green]Default workspace set to '{selected.name}' ({selected.tenant_id})[/green]"
-    )
@@ -9,10 +9,11 @@ import typer
 from rich.console import Console

 from basic_memory import db
-from basic_memory.config import ConfigManager
 from basic_memory.mcp.async_client import get_client
-from basic_memory.mcp.clients import ProjectClient
+
+from basic_memory.mcp.tools.utils import call_post, call_get
 from basic_memory.mcp.project_context import get_active_project
+from basic_memory.schemas import ProjectInfoResponse

 console = Console()

@@ -54,18 +55,19 @@ async def run_sync(
        run_in_background: If True, return immediately; if False, wait for completion
    """

-    # Resolve default project so get_client() can route per-project
-    project = project or ConfigManager().default_project
-
    try:
-        async with get_client(project_name=project) as client:
+        async with get_client() as client:
            project_item = await get_active_project(client, project, None)
-            project_client = ProjectClient(client)
-            data = await project_client.sync(
-                project_item.external_id,
-                force_full=force_full,
-                run_in_background=run_in_background,
-            )
+            url = f"/v2/projects/{project_item.external_id}/sync"
+            params = []
+            if force_full:
+                params.append("force_full=true")
+            if not run_in_background:
+                params.append("run_in_background=false")
+            if params:
+                url += "?" + "&".join(params)
+            response = await call_post(client, url)
+            data = response.json()
            # Background mode returns {"message": "..."}, foreground returns SyncReportResponse
            if "message" in data:
                console.print(f"[green]{data['message']}[/green]")
@@ -86,24 +88,12 @@ async def run_sync(

 async def get_project_info(project: str):
    """Get project information via API endpoint."""
+
    try:
-        async with get_client(project_name=project) as client:
+        async with get_client() as client:
            project_item = await get_active_project(client, project, None)
-            return await ProjectClient(client).get_info(project_item.external_id)
+            response = await call_get(client, f"/v2/projects/{project_item.external_id}/info")
+            return ProjectInfoResponse.model_validate(response.json())
    except (ToolError, ValueError) as e:
-        error_text = str(e)
-        if "internal proxy error" in error_text.lower() and "not found in configuration" in (
-            error_text.lower()
-        ):
-            console.print(
-                "[red]Project info failed: cloud returned an internal configuration error for "
-                "this project.[/red]"
-            )
-            console.print(
-                "[yellow]This is a cloud backend issue for detailed info lookups. "
-                "Use `bm project list --cloud` for project metadata until the service is updated."
-                "[/yellow]"
-            )
-        else:
-            console.print(f"[red]Project info failed: {e}[/red]")
+        console.print(f"[red]Sync failed: {e}[/red]")
        raise typer.Exit(1)
@@ -11,7 +11,7 @@ from sqlalchemy.exc import OperationalError
 from basic_memory import db
 from basic_memory.cli.app import app
 from basic_memory.cli.commands.command_utils import run_with_cleanup
-from basic_memory.config import ConfigManager, ProjectMode
+from basic_memory.config import ConfigManager
 from basic_memory.repository import ProjectRepository
 from basic_memory.services.initialization import reconcile_projects_with_config
 from basic_memory.sync.sync_service import get_sync_service
@@ -169,16 +169,7 @@ async def _reindex(app_config, search: bool, embeddings: bool, project: str | No
        if project:
            projects = [p for p in projects if p.name == project]
            if not projects:
-                # Check if it's a cloud-only project — those can't be reindexed locally
-                project_mode = app_config.get_project_mode(project)
-                if project_mode == ProjectMode.CLOUD:
-                    console.print(
-                        f"[yellow]Project '{project}' is a cloud project.[/yellow]\n"
-                        "Reindexing is a local operation — cloud projects are "
-                        "indexed on the server."
-                    )
-                else:
-                    console.print(f"[red]Project '{project}' not found.[/red]")
+                console.print(f"[red]Project '{project}' not found.[/red]")
                raise typer.Exit(1)

        for proj in projects:
@@ -19,6 +19,7 @@ from basic_memory.markdown.markdown_processor import MarkdownProcessor
 from basic_memory.markdown.schemas import EntityFrontmatter, EntityMarkdown
 from basic_memory.mcp.async_client import get_client
 from basic_memory.mcp.clients import KnowledgeClient, ProjectClient, SearchClient
+from basic_memory.mcp.tools.utils import call_post
 from basic_memory.schemas.base import Entity
 from basic_memory.schemas.project_info import ProjectInfoRequest
 from basic_memory.schemas.search import SearchQuery
@@ -54,9 +55,6 @@ async def run_doctor() -> None:
                if not status.new_project:
                    raise ValueError("Failed to create doctor project")
                project_id = status.new_project.external_id
-                # Use the resolved path from the server — when project_root is configured,
-                # the actual project directory differs from the requested temp_path
-                project_path = Path(status.new_project.path)
                console.print(f"[green]OK[/green] Created doctor project: {project_name}")

                # --- DB -> File: create an entity via API ---
@@ -64,14 +62,14 @@ async def run_doctor() -> None:
                api_note = Entity(
                    title=api_note_title,
                    directory="doctor",
-                    note_type="note",
+                    entity_type="note",
                    content_type="text/markdown",
                    content=f"# {api_note_title}\n\n- [note] API to file check",
                    entity_metadata={"tags": ["doctor"]},
                )
                api_result = await knowledge_client.create_entity(api_note.model_dump(), fast=False)

-                api_file = project_path / api_result.file_path
+                api_file = temp_path / api_result.file_path
                if not api_file.exists():
                    raise ValueError(f"API note file missing: {api_result.file_path}")

@@ -82,7 +80,7 @@ async def run_doctor() -> None:
                console.print("[green]OK[/green] API write created file")

                # --- File -> DB: write markdown file directly, then sync ---
-                parser = EntityParser(project_path)
+                parser = EntityParser(temp_path)
                processor = MarkdownProcessor(parser)
                manual_markdown = EntityMarkdown(
                    frontmatter=EntityFrontmatter(
@@ -96,14 +94,15 @@ async def run_doctor() -> None:
                    content=f"# {manual_note_title}\n\n- [note] File to DB check",
                )

-                manual_path = project_path / "doctor" / "manual-note.md"
+                manual_path = temp_path / "doctor" / "manual-note.md"
                await processor.write_file(manual_path, manual_markdown)
                console.print("[green]OK[/green] Manual file written")

-                sync_data = await project_client.sync(
-                    project_id, force_full=True, run_in_background=False
+                sync_response = await call_post(
+                    client,
+                    f"/v2/projects/{project_id}/sync?force_full=true&run_in_background=false",
                )
-                sync_report = SyncReportResponse.model_validate(sync_data)
+                sync_report = SyncReportResponse.model_validate(sync_response.json())
                if sync_report.total == 0:
                    raise ValueError("Sync did not detect any changes")

@@ -119,7 +118,8 @@ async def run_doctor() -> None:

                console.print("[green]OK[/green] Search confirmed manual file")

-                status_report = await project_client.get_status(project_id)
+                status_response = await call_post(client, f"/v2/projects/{project_id}/status")
+                status_report = SyncReportResponse.model_validate(status_response.json())
                if status_report.total != 0:
                    raise ValueError("Project status not clean after sync")

@@ -142,9 +142,6 @@ def doctor(
    """Run local consistency checks to verify file/database sync."""
    try:
        validate_routing_flags(local, cloud)
-        # Doctor runs local filesystem checks — always default to local routing
-        if not local and not cloud:
-            local = True
        with force_routing(local=local, cloud=cloud):
            run_with_cleanup(run_doctor())
    except (ToolError, ValueError) as e:
@@ -183,10 +183,10 @@ def format(
    By default, formats all .md, .json, and .canvas files in the current project.

    Examples:
-        bm format                    # Format all files in current project
-        bm format --project research # Format files in specific project
-        bm format notes/meeting.md   # Format a specific file
-        bm format notes/             # Format all files in directory
+        basic-memory format                    # Format all files in current project
+        basic-memory format --project research # Format files in specific project
+        basic-memory format notes/meeting.md   # Format a specific file
+        basic-memory format notes/             # Format all files in directory
    """
    try:
        run_with_cleanup(run_format(path, project))
@@ -44,7 +44,7 @@ def import_chatgpt(
    2. Convert them to linear markdown conversations
    3. Save as clean, readable markdown files

-    After importing, run 'bm reindex --search' to index the new files.
+    After importing, run 'basic-memory sync' to index the new files.
    """

    try:
@@ -81,7 +81,7 @@ def import_chatgpt(
            )
        )

-        console.print("\nRun 'bm reindex --search' to index the new files.")
+        console.print("\nRun 'basic-memory sync' to index the new files.")

    except Exception as e:
        logger.error("Import failed")
@@ -44,7 +44,7 @@ def import_claude(
    2. Create markdown files for each conversation
    3. Format content in clean, readable markdown

-    After importing, run 'bm reindex --search' to index the new files.
+    After importing, run 'basic-memory sync' to index the new files.
    """

    config = get_project_config()
@@ -84,7 +84,7 @@ def import_claude(
            )
        )

-        console.print("\nRun 'bm reindex --search' to index the new files.")
+        console.print("\nRun 'basic-memory sync' to index the new files.")

    except Exception as e:
        logger.error("Import failed")
@@ -44,7 +44,7 @@ def import_projects(
    2. Store docs in a docs/ subdirectory
    3. Place prompt template in project root

-    After importing, run 'bm reindex --search' to index the new files.
+    After importing, run 'basic-memory sync' to index the new files.
    """
    config = get_project_config()
    try:
@@ -83,7 +83,7 @@ def import_projects(
            )
        )

-        console.print("\nRun 'bm reindex --search' to index the new files.")
+        console.print("\nRun 'basic-memory sync' to index the new files.")

    except Exception as e:
        logger.error("Import failed")
@@ -1,14 +1,12 @@
 """MCP server command with streamable HTTP transport."""

 import os
-import threading
 from typing import Any, Optional

 import typer
 from loguru import logger

 from basic_memory.cli.app import app
-from basic_memory.cli.auto_update import AutoUpdateStatus, run_auto_update
 from basic_memory.config import ConfigManager, init_mcp_logging


@@ -38,7 +36,7 @@ def mcp(
    This command starts an MCP server using one of three transport options:

    - stdio: Standard I/O (good for local usage)
-    - streamable-http: Recommended for web deployments
+    - streamable-http: Recommended for web deployments (default)
    - sse: Server-Sent Events (for compatibility with existing clients)

    Initialization, file sync, and cleanup are handled by the MCP server's lifespan.
@@ -47,20 +45,10 @@ def mcp(
    Users who have cloud mode enabled can still use local MCP for Claude Code
    and Claude Desktop while using cloud MCP for web and mobile access.
    """
-    # --- Routing setup ---
-    # Trigger: MCP server command invocation.
-    # Why: HTTP/SSE transports serve as local API endpoints and must never
-    #      route through cloud. Stdio is a client-facing protocol that
-    #      should honor per-project routing (local or cloud).
-    # Outcome: HTTP/SSE get explicit local override; stdio passes through
-    #          whatever env vars are already set (honoring external overrides)
-    #          and defaults to per-project routing resolution.
-    if transport in ("streamable-http", "sse"):
-        os.environ["BASIC_MEMORY_FORCE_LOCAL"] = "true"
-        os.environ.pop("BASIC_MEMORY_FORCE_CLOUD", None)
-        os.environ["BASIC_MEMORY_EXPLICIT_ROUTING"] = "true"
-    # stdio: no env var manipulation — per-project routing applies by default,
-    # and externally-set env vars (e.g. BASIC_MEMORY_FORCE_CLOUD) are honored.
+    # Force local routing for local MCP server
+    # Why: The local MCP server should always talk to the local API, not the cloud proxy.
+    # Even when cloud_mode_enabled is True, stdio MCP runs locally and needs local API access.
+    os.environ["BASIC_MEMORY_FORCE_LOCAL"] = "true"

    # Import mcp tools/prompts to register them with the server
    import basic_memory.mcp.tools  # noqa: F401  # pragma: no cover
@@ -82,22 +70,6 @@ def mcp(
        os.environ["BASIC_MEMORY_MCP_PROJECT"] = project_name
        logger.info(f"MCP server constrained to project: {project_name}")

-    def _run_background_auto_update() -> None:
-        result = run_auto_update(force=False, check_only=False, silent=True)
-        if result.restart_recommended:
-            logger.info(
-                "A newer Basic Memory version was installed and will apply on next restart."
-            )
-        elif result.status == AutoUpdateStatus.FAILED and result.error:
-            logger.warning(f"MCP background auto-update failed: {result.error}")
-
-    # Trigger: stdio transport corresponds to local user installs.
-    # Why: server transports (HTTP/SSE) run in managed environments where
-    # package-manager self-upgrades are inappropriate.
-    # Outcome: background auto-update runs only for local stdio MCP sessions.
-    if transport == "stdio":
-        threading.Thread(target=_run_background_auto_update, daemon=True).start()
-
    # Run the MCP server (blocks)
    # Lifespan handles: initialization, migrations, file sync, cleanup
    logger.info(f"Starting MCP server with {transport.upper()} transport")
@@ -1,13 +1,14 @@
 """CLI routing utilities for --local/--cloud flag handling.

-This module provides utilities for CLI commands to override default routing.
-This allows users to force local or cloud routing per-command.
+This module provides utilities for CLI commands to override the default routing
+behavior (determined by cloud_mode_enabled in config). This allows users to:
+
+1. Use local MCP server even when cloud mode is enabled
+2. Force local routing for specific CLI commands with --local flag
+3. Force cloud routing with --cloud flag (requires authentication)

 The routing is controlled via environment variables:
 - BASIC_MEMORY_FORCE_LOCAL: When "true", forces local ASGI transport
- BASIC_MEMORY_FORCE_CLOUD: When "true", forces cloud proxy transport
- BASIC_MEMORY_EXPLICIT_ROUTING: When "true", signals that --local/--cloud
-  was explicitly passed, overriding per-project routing in get_client()
 - These are checked in basic_memory.mcp.async_client.get_client()
 """

@@ -23,14 +24,9 @@ def force_routing(local: bool = False, cloud: bool = False) -> Generator[None, N
    Sets environment variables that are checked by get_client() to determine
    whether to use local ASGI transport or cloud proxy transport.

-    When either flag is set, BASIC_MEMORY_EXPLICIT_ROUTING is also set so
-    that get_client() skips per-project routing and honors the flag directly.
-    This only affects CLI commands — the MCP server sets FORCE_LOCAL directly
-    (without EXPLICIT_ROUTING), so per-project routing still works for MCP tools.
-
    Args:
-        local: If True, force local ASGI transport
-        cloud: If True, force cloud proxy transport
+        local: If True, force local ASGI transport (ignores cloud_mode_enabled)
+        cloud: If True, clear force_local to allow cloud routing

    Usage:
        with force_routing(local=True):
@@ -45,37 +41,23 @@ def force_routing(local: bool = False, cloud: bool = False) -> Generator[None, N

    # Save original values
    original_force_local = os.environ.get("BASIC_MEMORY_FORCE_LOCAL")
-    original_force_cloud = os.environ.get("BASIC_MEMORY_FORCE_CLOUD")
-    original_explicit = os.environ.get("BASIC_MEMORY_EXPLICIT_ROUTING")

    try:
        if local:
+            # Force local routing by setting the env var
            os.environ["BASIC_MEMORY_FORCE_LOCAL"] = "true"
-            os.environ.pop("BASIC_MEMORY_FORCE_CLOUD", None)
-            os.environ["BASIC_MEMORY_EXPLICIT_ROUTING"] = "true"
        elif cloud:
+            # Ensure force_local is NOT set, let cloud_mode_enabled take effect
            os.environ.pop("BASIC_MEMORY_FORCE_LOCAL", None)
-            os.environ["BASIC_MEMORY_FORCE_CLOUD"] = "true"
-            os.environ["BASIC_MEMORY_EXPLICIT_ROUTING"] = "true"
        # If neither is set, don't change anything (use default behavior)
        yield
    finally:
-        # Restore original values
+        # Restore original value
        if original_force_local is None:
            os.environ.pop("BASIC_MEMORY_FORCE_LOCAL", None)
        else:
            os.environ["BASIC_MEMORY_FORCE_LOCAL"] = original_force_local

-        if original_force_cloud is None:
-            os.environ.pop("BASIC_MEMORY_FORCE_CLOUD", None)
-        else:
-            os.environ["BASIC_MEMORY_FORCE_CLOUD"] = original_force_cloud
-
-        if original_explicit is None:
-            os.environ.pop("BASIC_MEMORY_EXPLICIT_ROUTING", None)
-        else:
-            os.environ["BASIC_MEMORY_EXPLICIT_ROUTING"] = original_explicit
-

 def validate_routing_flags(local: bool, cloud: bool) -> None:
    """Validate that --local and --cloud flags are not both specified.
@@ -2,10 +2,6 @@

 Provides CLI access to schema validation, inference, and drift detection.
 Registered as a subcommand group: `bm schema validate`, `bm schema infer`, `bm schema diff`.
-
-Each command calls the corresponding MCP tool with output_format="json" and
-renders the result as Rich tables — same code path as `bm tool schema-*` but
-with human-friendly formatting.
 """

 import json
@@ -14,15 +10,15 @@ from typing import Annotated, Optional
 import typer
 from loguru import logger
 from rich.console import Console
+from rich.panel import Panel
 from rich.table import Table

 from basic_memory.cli.app import app
 from basic_memory.cli.commands.command_utils import run_with_cleanup
 from basic_memory.cli.commands.routing import force_routing, validate_routing_flags
 from basic_memory.config import ConfigManager
-from basic_memory.mcp.tools import schema_diff as mcp_schema_diff
-from basic_memory.mcp.tools import schema_infer as mcp_schema_infer
-from basic_memory.mcp.tools import schema_validate as mcp_schema_validate
+from basic_memory.mcp.async_client import get_client
+from basic_memory.mcp.project_context import get_active_project

 console = Console()

@@ -42,138 +38,84 @@ def _resolve_project_name(project: Optional[str]) -> Optional[str]:
    return config_manager.default_project


-# --- Rendering helpers ---
+# --- Validate ---


-def _render_validate_table(data: dict) -> None:
-    """Render a validation report dict as a Rich table."""
-    note_type = data.get("note_type")
-    title_label = note_type or "all"
+async def _run_validate(
+    target: Optional[str] = None,
+    project: Optional[str] = None,
+    strict: bool = False,
+):
+    """Run schema validation via the API."""
+    from basic_memory.mcp.clients.schema import SchemaClient

-    table = Table(title=f"Schema Validation: {title_label}")
-    table.add_column("Note", style="cyan")
-    table.add_column("Status", justify="center")
-    table.add_column("Warnings", justify="right")
-    table.add_column("Errors", justify="right")
+    async with get_client() as client:
+        active_project = await get_active_project(client, project, None)
+        schema_client = SchemaClient(client, active_project.external_id)

-    for result in data.get("results", []):
-        warnings = result.get("warnings", [])
-        errors = result.get("errors", [])
-        passed = result.get("passed", True)
+        # Determine if target is a note identifier or entity type
+        # Heuristic: if target contains / or ., treat as identifier
+        entity_type = None
+        identifier = None
+        if target:
+            if "/" in target or "." in target:
+                identifier = target
+            else:
+                entity_type = target

-        if passed and not warnings:
-            status = "[green]pass[/green]"
-        elif passed:
-            status = "[yellow]warn[/yellow]"
-        else:
-            status = "[red]fail[/red]"
-
-        table.add_row(
-            result.get("note_identifier", ""),
-            status,
-            str(len(warnings)),
-            str(len(errors)),
+        report = await schema_client.validate(
+            entity_type=entity_type,
+            identifier=identifier,
        )

-    console.print(table)
-    console.print(
-        f"\nSummary: {data.get('valid_count', 0)}/{data.get('total_notes', 0)} valid, "
-        f"{data.get('warning_count', 0)} warnings, {data.get('error_count', 0)} errors"
-    )
+        # --- Display results ---
+        if report.total_notes == 0:
+            console.print("[yellow]No notes matched for validation.[/yellow]")
+            return

+        table = Table(title=f"Schema Validation: {entity_type or identifier or 'all'}")
+        table.add_column("Note", style="cyan")
+        table.add_column("Status", justify="center")
+        table.add_column("Warnings", justify="right")
+        table.add_column("Errors", justify="right")

-def _render_infer_table(data: dict) -> None:
-    """Render an inference report dict as a Rich table."""
-    note_type = data.get("note_type", "")
-    notes_analyzed = data.get("notes_analyzed", 0)
-    suggested_required = data.get("suggested_required", [])
-    suggested_optional = data.get("suggested_optional", [])
+        for result in report.results:
+            if result.passed and not result.warnings:
+                status = "[green]pass[/green]"
+            elif result.passed:
+                status = "[yellow]warn[/yellow]"
+            else:
+                status = "[red]fail[/red]"

-    console.print(f"\n[bold]Analyzing {notes_analyzed} notes with type: {note_type}...[/bold]\n")
+            table.add_row(
+                result.note_identifier,
+                status,
+                str(len(result.warnings)),
+                str(len(result.errors)),
+            )

-    table = Table(title="Field Frequencies")
-    table.add_column("Field", style="cyan")
-    table.add_column("Source")
-    table.add_column("Count", justify="right")
-    table.add_column("Percentage", justify="right")
-    table.add_column("Suggested")
-
-    for freq in data.get("field_frequencies", []):
-        pct = f"{freq.get('percentage', 0):.0%}"
-        name = freq.get("name", "")
-        if name in suggested_required:
-            suggested = "[green]required[/green]"
-        elif name in suggested_optional:
-            suggested = "[yellow]optional[/yellow]"
-        else:
-            suggested = "[dim]excluded[/dim]"
-
-        table.add_row(
-            name,
-            freq.get("source", ""),
-            str(freq.get("count", 0)),
-            pct,
-            suggested,
+        console.print(table)
+        console.print(
+            f"\nSummary: {report.valid_count}/{report.total_notes} valid, "
+            f"{report.warning_count} warnings, {report.error_count} errors"
        )

-    console.print(table)
-
-    suggested_schema = data.get("suggested_schema", {})
-    if suggested_schema:
-        console.print("\n[bold]Suggested schema:[/bold]")
-        console.print(json.dumps(suggested_schema, indent=2))
-
-
-def _render_diff_output(data: dict) -> None:
-    """Render a drift report dict as Rich output."""
-    note_type = data.get("note_type", "")
-    new_fields = data.get("new_fields", [])
-    dropped_fields = data.get("dropped_fields", [])
-    cardinality_changes = data.get("cardinality_changes", [])
-
-    has_drift = new_fields or dropped_fields or cardinality_changes
-
-    if not has_drift:
-        console.print(f"[green]No drift detected for {note_type} schema.[/green]")
-        return
-
-    console.print(f"\n[bold]Schema drift detected for {note_type}:[/bold]\n")
-
-    if new_fields:
-        console.print("[green]+ New fields (common in notes, not in schema):[/green]")
-        for f in new_fields:
-            console.print(
-                f"  + {f['name']}: {f.get('percentage', 0):.0%} of notes ({f.get('source', '')})"
-            )
-
-    if dropped_fields:
-        console.print("[red]- Dropped fields (in schema, rare in notes):[/red]")
-        for f in dropped_fields:
-            console.print(
-                f"  - {f['name']}: {f.get('percentage', 0):.0%} of notes ({f.get('source', '')})"
-            )
-
-    if cardinality_changes:
-        console.print("[yellow]~ Cardinality changes:[/yellow]")
-        for change in cardinality_changes:
-            console.print(f"  ~ {change}")
-
-
-# --- Commands ---
+        # Exit with error code in strict mode if there are failures
+        if strict and report.error_count > 0:
+            raise typer.Exit(1)


@schema_app.command()
 def validate(
    target: Annotated[
        Optional[str],
-        typer.Argument(help="Note path or note type to validate"),
+        typer.Argument(help="Note path or entity type to validate"),
    ] = None,
    project: Annotated[
        Optional[str],
        typer.Option(help="The project name."),
    ] = None,
    strict: bool = typer.Option(False, "--strict", help="Exit with error on validation failures"),
-    json_output: bool = typer.Option(False, "--json", help="Output in JSON format"),
    local: bool = typer.Option(
        False, "--local", help="Force local API routing (ignore cloud mode)"
    ),
@@ -181,10 +123,9 @@ def validate(
 ):
    """Validate notes against their schemas.

-    TARGET can be a note path (e.g., people/ada-lovelace.md) or a note type
-    (e.g., person). If omitted, validates all notes that have schemas.
+    TARGET can be a note path (e.g., people/ada-lovelace.md) or an entity type
+    (e.g., Person). If omitted, validates all notes that have schemas.

-    Use --json for machine-readable output.
    Use --strict to exit with error code 1 if any validation errors are found.
    Use --local to force local routing when cloud mode is enabled.
    Use --cloud to force cloud routing when cloud mode is disabled.
@@ -192,43 +133,8 @@ def validate(
    try:
        validate_routing_flags(local, cloud)
        project_name = _resolve_project_name(project)
-
-        # Heuristic: if target contains / or ., treat as identifier; otherwise as note type
-        note_type, identifier = None, None
-        if target:
-            if "/" in target or "." in target:
-                identifier = target
-            else:
-                note_type = target
-
        with force_routing(local=local, cloud=cloud):
-            result = run_with_cleanup(
-                mcp_schema_validate(
-                    note_type=note_type,
-                    identifier=identifier,
-                    project=project_name,
-                    output_format="json",
-                )
-            )
-
-        # Handle error responses
-        if isinstance(result, dict) and "error" in result:
-            if json_output:
-                print(json.dumps(result, indent=2, default=str))
-            else:
-                console.print(f"[yellow]{result['error']}[/yellow]")
-            return
-
-        # output_format="json" guarantees a dict return
-        assert isinstance(result, dict)
-
-        if json_output:
-            print(json.dumps(result, indent=2, default=str))
-        else:
-            _render_validate_table(result)
-
-        if strict and result.get("error_count", 0) > 0:
-            raise typer.Exit(1)
+            run_with_cleanup(_run_validate(target, project_name, strict))
    except ValueError as e:
        console.print(f"[red]Error: {e}[/red]")
        raise typer.Exit(1)
@@ -240,11 +146,75 @@ def validate(
        raise


+# --- Infer ---
+
+
+async def _run_infer(
+    entity_type: str,
+    project: Optional[str] = None,
+    threshold: float = 0.25,
+    save: bool = False,
+):
+    """Run schema inference via the API."""
+    from basic_memory.mcp.clients.schema import SchemaClient
+
+    async with get_client() as client:
+        active_project = await get_active_project(client, project, None)
+        schema_client = SchemaClient(client, active_project.external_id)
+
+        report = await schema_client.infer(entity_type, threshold=threshold)
+
+        if report.notes_analyzed == 0:
+            console.print(f"[yellow]No notes found with type: {entity_type}[/yellow]")
+            return
+
+        # --- Display frequency analysis ---
+        console.print(
+            f"\n[bold]Analyzing {report.notes_analyzed} notes with type: {entity_type}...[/bold]\n"
+        )
+
+        table = Table(title="Field Frequencies")
+        table.add_column("Field", style="cyan")
+        table.add_column("Source")
+        table.add_column("Count", justify="right")
+        table.add_column("Percentage", justify="right")
+        table.add_column("Suggested")
+
+        for freq in report.field_frequencies:
+            pct = f"{freq.percentage:.0%}"
+            if freq.name in report.suggested_required:
+                suggested = "[green]required[/green]"
+            elif freq.name in report.suggested_optional:
+                suggested = "[yellow]optional[/yellow]"
+            else:
+                suggested = "[dim]excluded[/dim]"
+
+            table.add_row(
+                freq.name,
+                freq.source,
+                str(freq.count),
+                pct,
+                suggested,
+            )
+
+        console.print(table)
+
+        # --- Display suggested schema ---
+        console.print("\n[bold]Suggested schema:[/bold]")
+        console.print(Panel(json.dumps(report.suggested_schema, indent=2), title="Picoschema"))
+
+        if save:
+            console.print(
+                f"\n[yellow]--save not yet implemented. "
+                f"Copy the schema above into schema/{entity_type}.md[/yellow]"
+            )
+
+
@schema_app.command()
 def infer(
-    note_type: Annotated[
+    entity_type: Annotated[
        str,
-        typer.Argument(help="Note type to analyze (e.g., person, meeting)"),
+        typer.Argument(help="Entity type to analyze (e.g., Person, meeting)"),
    ],
    project: Annotated[
        Optional[str],
@@ -254,7 +224,6 @@ def infer(
        0.25, "--threshold", help="Minimum frequency for optional fields (0-1)"
    ),
    save: bool = typer.Option(False, "--save", help="Save inferred schema to schema/ directory"),
-    json_output: bool = typer.Option(False, "--json", help="Output in JSON format"),
    local: bool = typer.Option(
        False, "--local", help="Force local API routing (ignore cloud mode)"
    ),
@@ -262,59 +231,20 @@ def infer(
 ):
    """Infer schema from existing notes of a type.

-    Analyzes all notes with the given type and suggests a Picoschema
+    Analyzes all notes with the given entity type and suggests a Picoschema
    definition based on observation and relation frequency.

    Fields present in 95%+ of notes become required. Fields above the
    threshold (default 25%) become optional. Fields below threshold are excluded.

-    Use --json for machine-readable output.
    Use --local to force local routing when cloud mode is enabled.
    Use --cloud to force cloud routing when cloud mode is disabled.
    """
    try:
        validate_routing_flags(local, cloud)
        project_name = _resolve_project_name(project)
-
        with force_routing(local=local, cloud=cloud):
-            result = run_with_cleanup(
-                mcp_schema_infer(
-                    note_type=note_type,
-                    threshold=threshold,
-                    project=project_name,
-                    output_format="json",
-                )
-            )
-
-        # Handle error responses
-        if isinstance(result, dict) and "error" in result:
-            if json_output:
-                print(json.dumps(result, indent=2, default=str))
-            else:
-                console.print(f"[yellow]{result['error']}[/yellow]")
-            return
-
-        # output_format="json" guarantees a dict return
-        assert isinstance(result, dict)
-
-        # Handle zero notes
-        if result.get("notes_analyzed", 0) == 0:
-            if json_output:
-                print(json.dumps(result, indent=2, default=str))
-            else:
-                console.print(f"[yellow]No notes found with type: {note_type}[/yellow]")
-            return
-
-        if json_output:
-            print(json.dumps(result, indent=2, default=str))
-        else:
-            _render_infer_table(result)
-
-        if save:
-            console.print(
-                f"\n[yellow]--save not yet implemented. "
-                f"Copy the schema above into schema/{note_type}.md[/yellow]"
-            )
+            run_with_cleanup(_run_infer(entity_type, project_name, threshold, save))
    except ValueError as e:
        console.print(f"[red]Error: {e}[/red]")
        raise typer.Exit(1)
@@ -326,17 +256,56 @@ def infer(
        raise


+# --- Diff ---
+
+
+async def _run_diff(
+    entity_type: str,
+    project: Optional[str] = None,
+):
+    """Run schema drift detection via the API."""
+    from basic_memory.mcp.clients.schema import SchemaClient
+
+    async with get_client() as client:
+        active_project = await get_active_project(client, project, None)
+        schema_client = SchemaClient(client, active_project.external_id)
+
+        report = await schema_client.diff(entity_type)
+
+        has_drift = report.new_fields or report.dropped_fields or report.cardinality_changes
+
+        if not has_drift:
+            console.print(f"[green]No drift detected for {entity_type} schema.[/green]")
+            return
+
+        console.print(f"\n[bold]Schema drift detected for {entity_type}:[/bold]\n")
+
+        if report.new_fields:
+            console.print("[green]+ New fields (common in notes, not in schema):[/green]")
+            for f in report.new_fields:
+                console.print(f"  + {f.name}: {f.percentage:.0%} of notes ({f.source})")
+
+        if report.dropped_fields:
+            console.print("[red]- Dropped fields (in schema, rare in notes):[/red]")
+            for f in report.dropped_fields:
+                console.print(f"  - {f.name}: {f.percentage:.0%} of notes ({f.source})")
+
+        if report.cardinality_changes:
+            console.print("[yellow]~ Cardinality changes:[/yellow]")
+            for change in report.cardinality_changes:
+                console.print(f"  ~ {change}")
+
+
@schema_app.command()
 def diff(
-    note_type: Annotated[
+    entity_type: Annotated[
        str,
-        typer.Argument(help="Note type to check for drift"),
+        typer.Argument(help="Entity type to check for drift"),
    ],
    project: Annotated[
        Optional[str],
        typer.Option(help="The project name."),
    ] = None,
-    json_output: bool = typer.Option(False, "--json", help="Output in JSON format"),
    local: bool = typer.Option(
        False, "--local", help="Force local API routing (ignore cloud mode)"
    ),
@@ -344,42 +313,18 @@ def diff(
 ):
    """Show drift between schema and actual usage.

-    Compares the existing schema definition against how notes of that type
-    are actually structured. Identifies new fields,
+    Compares the existing schema definition for an entity type against
+    how notes of that type are actually structured. Identifies new fields,
    dropped fields, and cardinality changes.

-    Use --json for machine-readable output.
    Use --local to force local routing when cloud mode is enabled.
    Use --cloud to force cloud routing when cloud mode is disabled.
    """
    try:
        validate_routing_flags(local, cloud)
        project_name = _resolve_project_name(project)
-
        with force_routing(local=local, cloud=cloud):
-            result = run_with_cleanup(
-                mcp_schema_diff(
-                    note_type=note_type,
-                    project=project_name,
-                    output_format="json",
-                )
-            )
-
-        # Handle error responses
-        if isinstance(result, dict) and "error" in result:
-            if json_output:
-                print(json.dumps(result, indent=2, default=str))
-            else:
-                console.print(f"[yellow]{result['error']}[/yellow]")
-            return
-
-        # output_format="json" guarantees a dict return
-        assert isinstance(result, dict)
-
-        if json_output:
-            print(json.dumps(result, indent=2, default=str))
-        else:
-            _render_diff_output(result)
+            run_with_cleanup(_run_diff(entity_type, project_name))
    except ValueError as e:
        console.print(f"[red]Error: {e}[/red]")
        raise typer.Exit(1)
@@ -1,6 +1,5 @@
 """Status command for basic-memory CLI."""

-import json
 from typing import Set, Dict
 from typing import Annotated, Optional

@@ -13,9 +12,8 @@ from rich.tree import Tree

 from basic_memory.cli.app import app
 from basic_memory.cli.commands.routing import force_routing, validate_routing_flags
-from basic_memory.config import ConfigManager
 from basic_memory.mcp.async_client import get_client
-from basic_memory.mcp.clients import ProjectClient
+from basic_memory.mcp.tools.utils import call_post
 from basic_memory.schemas import SyncReportResponse
 from basic_memory.mcp.project_context import get_active_project

@@ -142,20 +140,20 @@ def display_changes(
    console.print(Panel(tree, expand=False))


-async def run_status(
-    project: Optional[str] = None,
-) -> tuple[str, SyncReportResponse]:
-    """Fetch sync status of files vs database.
+async def run_status(project: Optional[str] = None, verbose: bool = False):  # pragma: no cover
+    """Check sync status of files vs database."""

-    Returns (project_name, sync_report) for the caller to render.
-    """
-    # Resolve default project so get_client() can route per-project
-    project = project or ConfigManager().default_project
+    try:
+        async with get_client() as client:
+            project_item = await get_active_project(client, project, None)
+            response = await call_post(client, f"/v2/projects/{project_item.external_id}/status")
+            sync_report = SyncReportResponse.model_validate(response.json())

-    async with get_client(project_name=project) as client:
-        project_item = await get_active_project(client, project, None)
-        sync_report = await ProjectClient(client).get_status(project_item.external_id)
-        return project_item.name, sync_report
+            display_changes(project_item.name, "Status", sync_report, verbose)
+
+    except (ValueError, ToolError) as e:
+        console.print(f"[red]Error: {e}[/red]")
+        raise typer.Exit(1)


@app.command()
@@ -165,7 +163,6 @@ def status(
        typer.Option(help="The project name."),
    ] = None,
    verbose: bool = typer.Option(False, "--verbose", "-v", help="Show detailed file information"),
-    json_output: bool = typer.Option(False, "--json", help="Output in JSON format"),
    local: bool = typer.Option(
        False, "--local", help="Force local API routing (ignore cloud mode)"
    ),
@@ -173,7 +170,6 @@ def status(
 ):
    """Show sync status between files and database.

-    Use --json for machine-readable output.
    Use --local to force local routing when cloud mode is enabled.
    Use --cloud to force cloud routing when cloud mode is disabled.
    """
@@ -181,32 +177,12 @@ def status(

    try:
        validate_routing_flags(local, cloud)
-        # Trigger: no explicit routing flag provided
-        # Why: status scans the local filesystem — cloud routing would use the
-        #      Docker-internal path stored in the cloud database, which doesn't
-        #      exist locally.
-        # Outcome: default to local routing unless --cloud was explicitly requested.
-        if not local and not cloud:
-            local = True
        with force_routing(local=local, cloud=cloud):
-            project_name, sync_report = run_with_cleanup(run_status(project))
-
-        if json_output:
-            print(json.dumps(sync_report.model_dump(mode="json"), indent=2, default=str))
-        else:
-            display_changes(project_name, "Status", sync_report, verbose)
-    except (ValueError, ToolError) as e:
-        if json_output:
-            print(json.dumps({"error": str(e)}, indent=2))
-        else:
-            console.print(f"[red]Error: {e}[/red]")
+            run_with_cleanup(run_status(project, verbose))  # pragma: no cover
+    except ValueError as e:
+        console.print(f"[red]Error: {e}[/red]")
        raise typer.Exit(code=1)
-    except typer.Exit:
-        raise
    except Exception as e:
        logger.error(f"Error checking status: {e}")
-        if json_output:
-            print(json.dumps({"error": str(e)}, indent=2))
-        else:
-            typer.echo(f"Error checking status: {e}", err=True)
+        typer.echo(f"Error checking status: {e}", err=True)
        raise typer.Exit(code=1)  # pragma: no cover
@@ -1,40 +0,0 @@
-"""Manual update command for Basic Memory CLI."""
-
-import typer
-from rich.console import Console
-
-from basic_memory.cli.app import app
-from basic_memory.cli.auto_update import AutoUpdateStatus, run_auto_update
-
-console = Console()
-
-
-@app.command("update")
-def update(
-    check: bool = typer.Option(
-        False,
-        "--check",
-        help="Check for updates only (do not install).",
-    ),
-) -> None:
-    """Check for updates and install when supported."""
-    result = run_auto_update(force=True, check_only=check, silent=False)
-
-    if result.status == AutoUpdateStatus.FAILED:
-        detail = f" {result.error}" if result.error else ""
-        console.print(f"[red]{result.message or 'Update failed.'}{detail}[/red]")
-        raise typer.Exit(1)
-
-    if result.status == AutoUpdateStatus.UPDATED:
-        console.print(f"[green]{result.message or 'Basic Memory updated successfully.'}[/green]")
-        return
-
-    if result.status == AutoUpdateStatus.UP_TO_DATE:
-        console.print(f"[green]{result.message or 'Basic Memory is up to date.'}[/green]")
-        return
-
-    if result.status == AutoUpdateStatus.UPDATE_AVAILABLE:
-        console.print(f"[cyan]{result.message or 'Update available.'}[/cyan]")
-        return
-
-    console.print(f"[dim]{result.message or 'No update action was performed.'}[/dim]")
@@ -0,0 +1,97 @@
+"""Watch command - run file watcher as a standalone long-running process."""
+
+import asyncio
+import os
+import signal
+import sys
+from typing import Optional
+
+import typer
+from loguru import logger
+
+from basic_memory import db
+from basic_memory.cli.app import app
+from basic_memory.cli.container import get_container
+from basic_memory.config import ConfigManager
+from basic_memory.services.initialization import initialize_app
+from basic_memory.sync.coordinator import SyncCoordinator
+
+
+async def run_watch(project: Optional[str] = None) -> None:
+    """Run the file watcher as a long-running process.
+
+    This is the async core of the watch command. It:
+    1. Initializes the app (DB migrations + project reconciliation)
+    2. Validates and sets project constraint if --project given
+    3. Creates a SyncCoordinator with quiet=False for Rich console output
+    4. Blocks until SIGINT/SIGTERM, then shuts down cleanly
+    """
+    container = get_container()
+    config = container.config
+
+    # --- Initialization ---
+    # Wrapped in try/finally so DB resources are cleaned up on all exit paths,
+    # including early exits from invalid --project names.
+    await initialize_app(config)
+    sync_coordinator = None
+
+    try:
+        # --- Project constraint ---
+        if project:
+            config_manager = ConfigManager()
+            project_name, _ = config_manager.get_project(project)
+            if not project_name:
+                typer.echo(f"No project found named: {project}", err=True)
+                raise typer.Exit(1)
+
+            os.environ["BASIC_MEMORY_MCP_PROJECT"] = project_name
+            logger.info(f"Watch constrained to project: {project_name}")
+
+        # --- Sync coordinator ---
+        # quiet=False so file change events are printed to the terminal
+        sync_coordinator = SyncCoordinator(config=config, should_sync=True, quiet=False)
+
+        # --- Signal handling ---
+        shutdown_event = asyncio.Event()
+
+        def _signal_handler() -> None:
+            logger.info("Shutdown signal received")
+            shutdown_event.set()
+
+        loop = asyncio.get_running_loop()
+
+        # Windows ProactorEventLoop does not support add_signal_handler;
+        # fall back to the stdlib signal module which works cross-platform.
+        try:
+            for sig in (signal.SIGINT, signal.SIGTERM):
+                loop.add_signal_handler(sig, _signal_handler)
+        except NotImplementedError:
+            for sig in (signal.SIGINT, signal.SIGTERM):
+                signal.signal(sig, lambda _signum, _frame: _signal_handler())
+
+        # --- Run ---
+        await sync_coordinator.start()
+        logger.info("Watch service running, press Ctrl+C to stop")
+        await shutdown_event.wait()
+    finally:
+        if sync_coordinator is not None:
+            await sync_coordinator.stop()
+        await db.shutdown_db()
+        logger.info("Watch service stopped")
+
+
+@app.command()
+def watch(
+    project: Optional[str] = typer.Option(None, help="Restrict watcher to a single project"),
+) -> None:
+    """Run file watcher as a long-running process (no MCP server).
+
+    Watches for file changes in project directories and syncs them to the
+    database. Useful for running Basic Memory sync alongside external tools
+    that don't use the MCP server.
+    """
+    # On Windows, use SelectorEventLoop to avoid ProactorEventLoop cleanup issues
+    if sys.platform == "win32":  # pragma: no cover
+        asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
+
+    asyncio.run(run_watch(project=project))
@@ -35,6 +35,7 @@ class CliContainer:
        """
        config = ConfigManager().config
        mode = resolve_runtime_mode(
+            cloud_mode_enabled=config.cloud_mode_enabled,
            is_test_env=config.is_test_env,
        )
        return cls(config=config, mode=mode)
@@ -5,7 +5,6 @@ import warnings

 from basic_memory.cli.app import app  # pragma: no cover

-
 def _version_only_invocation(argv: list[str]) -> bool:
    # Trigger: invocation is exactly `bm --version` or `bm -v`
    # Why: avoid importing command modules on the hot version path
@@ -28,7 +27,6 @@ if not _version_only_invocation(sys.argv[1:]):
        schema,
        status,
        tool,
-        update,
    )

 warnings.filterwarnings("ignore")  # pragma: no cover
@@ -2,18 +2,14 @@

 import os
 import sys
+from collections.abc import Callable

-from rich.console import Console
-from rich.panel import Panel
+import typer

-import basic_memory
-from basic_memory.cli.analytics import track, EVENT_PROMO_SHOWN
 from basic_memory.config import ConfigManager

-OSS_DISCOUNT_CODE = "BMFOSS"
-CLOUD_LEARN_MORE_URL = (
-    "https://basicmemory.com?utm_source=bm-foss&utm_medium=promo&utm_campaign=cloud-upsell"
-)
+CLOUD_PROMO_VERSION = "2026-02-06"
+OSS_DISCOUNT_CODE = "{{OSS_DISCOUNT_CODE}}"


 def _promos_disabled_by_env() -> bool:
@@ -24,53 +20,27 @@ def _promos_disabled_by_env() -> bool:

 def _is_interactive_session() -> bool:
    """Return whether stdin/stdout are interactive terminals."""
-    try:
-        return sys.stdin.isatty() and sys.stdout.isatty()
-    except ValueError:
-        # Trigger: stdin/stdout already closed (e.g., MCP stdio transport shutdown)
-        # Why: isatty() raises ValueError on closed file descriptors
-        # Outcome: treat as non-interactive, suppressing promo output
-        return False
+    return sys.stdin.isatty() and sys.stdout.isatty()


-def _build_cloud_promo_message() -> str:
-    """Build benefit-led cloud upsell copy with Rich markup."""
+def _build_first_run_message() -> str:
+    """Build first-run cloud promo copy."""
    return (
-        "☁️ [bold]Your knowledge, everywhere.[/bold] ✨\n"
-        "Stop losing context when you switch machines.\n"
-        "Basic Memory Cloud syncs your memory across every device, including mobile and web.\n"
-        "Try it free for 7 days.\n"
-        f"Use [bold cyan]{OSS_DISCOUNT_CODE}[/bold cyan] for 20% off when you subscribe.\n"
-        "[bold green]→ bm cloud login[/bold green]"
+        "Basic Memory initialized (local mode).\n"
+        "Cloud is optional and keeps your workflow local-first.\n"
+        "Cloud adds cross-device sync + mobile/web access.\n"
+        f"OSS discount: {OSS_DISCOUNT_CODE} (20% off for 3 months).\n"
+        "Run `bm cloud login` to enable."
    )


-def maybe_show_init_line(
-    invoked_subcommand: str | None,
-    *,
-    config_manager: ConfigManager | None = None,
-    is_interactive: bool | None = None,
-    console: Console | None = None,
-) -> None:
-    """Show a one-time init confirmation line before command output."""
-    manager = config_manager or ConfigManager()
-    config = manager.load_config()
-
-    interactive = _is_interactive_session() if is_interactive is None else is_interactive
-
-    # Same gates as the cloud promo — suppress in non-interactive, env kill-switch,
-    # mcp/root-help contexts, or when already shown.
-    if _promos_disabled_by_env() or not interactive:
-        return
-
-    if invoked_subcommand in {None, "mcp"}:
-        return
-
-    if config.cloud_promo_first_run_shown:
-        return
-
-    out = console or Console()
-    out.print("Basic Memory initialized ✓")
+def _build_version_message() -> str:
+    """Build cloud promo copy shown after promo-version bumps."""
+    return (
+        "New in Basic Memory Cloud: cross-device sync + mobile/web access.\n"
+        f"OSS discount: {OSS_DISCOUNT_CODE} (20% off for 3 months).\n"
+        "Run `bm cloud login` to enable."
+    )


 def maybe_show_cloud_promo(
@@ -78,15 +48,11 @@ def maybe_show_cloud_promo(
    *,
    config_manager: ConfigManager | None = None,
    is_interactive: bool | None = None,
-    console: Console | None = None,
+    echo: Callable[[str], None] = typer.echo,
 ) -> None:
    """Show cloud promo copy when discovery gates are satisfied."""
    manager = config_manager or ConfigManager()
    config = manager.load_config()
-    from basic_memory.cli.auth import CLIAuth
-
-    auth = CLIAuth(client_id=config.cloud_client_id, authkit_domain=config.cloud_domain)
-    has_cloud_access = bool(config.cloud_api_key) or auth.load_tokens() is not None

    interactive = _is_interactive_session() if is_interactive is None else is_interactive

@@ -102,29 +68,17 @@ def maybe_show_cloud_promo(
    if invoked_subcommand in {None, "mcp"}:
        return

-    if has_cloud_access or config.cloud_promo_opt_out:
+    if config.cloud_mode_enabled or config.cloud_promo_opt_out:
        return

    show_first_run = not config.cloud_promo_first_run_shown
-    show_version_notice = config.cloud_promo_last_version_shown != basic_memory.__version__
+    show_version_notice = config.cloud_promo_last_version_shown != CLOUD_PROMO_VERSION
    if not show_first_run and not show_version_notice:
        return

-    out = console or Console()
-    out.print(
-        Panel(
-            _build_cloud_promo_message(),
-            title="Basic Memory Cloud",
-            border_style="cyan",
-            expand=False,
-        )
-    )
-    out.print(f"Learn more at [link={CLOUD_LEARN_MORE_URL}]{CLOUD_LEARN_MORE_URL}[/link]")
-    out.print("[dim]Disable with: bm cloud promo --off[/dim]")
-
-    trigger = "first_run" if show_first_run else "version_bump"
-    track(EVENT_PROMO_SHOWN, {"trigger": trigger})
+    message = _build_first_run_message() if show_first_run else _build_version_message()
+    echo(message)

    config.cloud_promo_first_run_shown = True
-    config.cloud_promo_last_version_shown = basic_memory.__version__
+    config.cloud_promo_last_version_shown = CLOUD_PROMO_VERSION
    manager.save_config(config)
@@ -1,21 +1,17 @@
 """Configuration management for basic-memory."""

-import importlib.util
 import json
 import os
-import shutil
 from dataclasses import dataclass
 from datetime import datetime
-from enum import Enum
 from pathlib import Path
 from typing import Any, Dict, Literal, Optional, List, Tuple
+from enum import Enum

 from loguru import logger
-from pydantic import AliasChoices, BaseModel, Field, model_validator
+from pydantic import BaseModel, Field, model_validator
 from pydantic_settings import BaseSettings, SettingsConfigDict

-from basic_memory import __version__
-from basic_memory.telemetry import configure_telemetry
 from basic_memory.utils import setup_logging, generate_permalink


@@ -42,14 +38,6 @@ class DatabaseBackend(str, Enum):
    POSTGRES = "postgres"


-def _default_semantic_search_enabled() -> bool:
-    """Enable semantic search by default when required local semantic dependencies exist."""
-    required_modules = ("fastembed", "sqlite_vec")
-    return all(
-        importlib.util.find_spec(module_name) is not None for module_name in required_modules
-    )
-
-
@dataclass
 class ProjectConfig:
    """Configuration for a specific basic-memory project."""
@@ -72,9 +60,6 @@ class CloudProjectConfig(BaseModel):

    This tracks the local working directory and sync state for a project
    that is synced with Basic Memory Cloud.
-
-    DEPRECATED: Kept for backward-compatible migration only. New code should
-    use ProjectEntry fields (cloud_sync_path, bisync_initialized, last_sync).
    """

    local_path: str = Field(description="Local working directory path for this cloud project")
@@ -86,80 +71,31 @@ class CloudProjectConfig(BaseModel):
    )


-class ProjectEntry(BaseModel):
-    """Unified project configuration entry.
-
-    Replaces the old triple of projects (Dict[str, str]), project_modes
-    (Dict[str, ProjectMode]), and cloud_projects (Dict[str, CloudProjectConfig])
-    with a single structure per project.
-    """
-
-    path: str = Field(description="Local filesystem path for the project")
-    mode: ProjectMode = Field(
-        default=ProjectMode.LOCAL,
-        description="Routing mode: local (in-process ASGI) or cloud (remote API)",
-    )
-    workspace_id: Optional[str] = Field(
-        default=None,
-        description="Cloud workspace tenant_id. Set by 'bm project set-cloud --workspace'.",
-    )
-    # Cloud sync state (replaces CloudProjectConfig)
-    local_sync_path: Optional[str] = Field(
-        default=None,
-        description="Local working directory for bisync",
-        validation_alias=AliasChoices("local_sync_path", "cloud_sync_path"),
-    )
-    bisync_initialized: bool = Field(
-        default=False,
-        description="Whether rclone bisync baseline has been established",
-    )
-    last_sync: Optional[datetime] = Field(
-        default=None,
-        description="Timestamp of last successful sync operation",
-    )
-
-
 class BasicMemoryConfig(BaseSettings):
    """Pydantic model for Basic Memory global configuration."""

    env: Environment = Field(default="dev", description="Environment name")

-    projects: Dict[str, ProjectEntry] = Field(
+    projects: Dict[str, str] = Field(
        default_factory=lambda: {
-            "main": ProjectEntry(
-                path=str(Path(os.getenv("BASIC_MEMORY_HOME", Path.home() / "basic-memory")))
-            )
+            "main": str(Path(os.getenv("BASIC_MEMORY_HOME", Path.home() / "basic-memory")))
        }
        if os.getenv("BASIC_MEMORY_HOME")
        else {},
-        description="Mapping of project names to their ProjectEntry configuration",
+        description="Mapping of project names to their filesystem paths",
    )
-    default_project: Optional[str] = Field(
-        default=None,
-        description="Name of the default project to use. When set, acts as fallback when no project parameter is specified. Set to null to disable automatic project resolution.",
+    default_project: str = Field(
+        default="main",
+        description="Name of the default project to use",
+    )
+    default_project_mode: bool = Field(
+        default=True,
+        description="When True, MCP tools automatically use default_project when no project parameter is specified. Enables simplified UX for single-project workflows.",
    )

    # overridden by ~/.basic-memory/config.json
    log_level: str = "INFO"

-    # Optional Logfire telemetry (disabled by default)
-    logfire_enabled: bool = Field(
-        default=False,
-        description="Enable Logfire instrumentation for local development or managed deployments.",
-    )
-    logfire_send_to_logfire: bool = Field(
-        default=False,
-        description="When true, allow Logfire to export telemetry to the configured backend.",
-    )
-    logfire_service_name: str = Field(
-        default="basic-memory",
-        description="Base service name used when constructing entrypoint-specific Logfire service names.",
-    )
-    logfire_environment: str | None = Field(
-        default=None,
-        description="Optional override for Logfire environment. Defaults to env when unset.",
-    )
-
    # Database configuration
    database_backend: DatabaseBackend = Field(
        default=DatabaseBackend.SQLITE,
@@ -173,8 +109,8 @@ class BasicMemoryConfig(BaseSettings):

    # Semantic search configuration
    semantic_search_enabled: bool = Field(
-        default_factory=_default_semantic_search_enabled,
-        description="Enable semantic search (vector/hybrid retrieval). Works on both SQLite and Postgres backends. Requires semantic dependencies (included by default).",
+        default=False,
+        description="Enable semantic search (vector/hybrid retrieval). Works on both SQLite and Postgres backends. Requires semantic extras.",
    )
    semantic_embedding_provider: str = Field(
        default="fastembed",
@@ -193,42 +129,11 @@ class BasicMemoryConfig(BaseSettings):
        description="Batch size for embedding generation.",
        gt=0,
    )
-    semantic_embedding_sync_batch_size: int = Field(
-        default=64,
-        description="Batch size for vector sync orchestration flushes.",
-        gt=0,
-    )
-    semantic_embedding_cache_dir: str | None = Field(
-        default=None,
-        description="Optional cache directory for FastEmbed model artifacts.",
-    )
-    semantic_embedding_threads: int | None = Field(
-        default=None,
-        description="Optional FastEmbed runtime thread count override.",
-        gt=0,
-    )
-    semantic_embedding_parallel: int | None = Field(
-        default=None,
-        description="Optional FastEmbed embed() parallelism override.",
-        gt=0,
-    )
    semantic_vector_k: int = Field(
        default=100,
        description="Vector candidate count for vector and hybrid retrieval.",
        gt=0,
    )
-    semantic_min_similarity: float = Field(
-        default=0.55,
-        description="Minimum similarity score for vector search results. Results below this threshold are filtered out. 0.0 disables filtering.",
-        ge=0.0,
-        le=1.0,
-    )
-    default_search_type: Literal["text", "vector", "hybrid"] | None = Field(
-        default=None,
-        description="Default search type for search_notes when not specified per-query. "
-        "Valid values: text, vector, hybrid. "
-        "When unset, defaults to 'hybrid' if semantic search is enabled, otherwise 'text'.",
-    )

    # Database connection pool configuration (Postgres only)
    db_pool_size: int = Field(
@@ -291,21 +196,6 @@ class BasicMemoryConfig(BaseSettings):
        description="Disable automatic permalink generation in frontmatter. When enabled, new notes won't have permalinks added and sync won't update permalinks. Existing permalinks will still work for reading.",
    )

-    write_note_overwrite_default: bool = Field(
-        default=False,
-        description=(
-            "Default value for write_note's overwrite parameter. "
-            "When False (default), write_note errors if note already exists. "
-            "Set to True to restore pre-v0.20 upsert behavior. "
-            "Env: BASIC_MEMORY_WRITE_NOTE_OVERWRITE_DEFAULT"
-        ),
-    )
-
-    ensure_frontmatter_on_sync: bool = Field(
-        default=True,
-        description="Ensure markdown files have frontmatter during sync by adding derived title/type/permalink when missing. When combined with disable_permalinks=True, this setting takes precedence for missing-frontmatter files and still writes permalinks.",
-    )
-
    permalinks_include_project: bool = Field(
        default=True,
        description="When True, generated permalinks are prefixed with the project slug (e.g., 'specs/search'). Existing permalinks remain unchanged unless explicitly updated.",
@@ -362,6 +252,16 @@ class BasicMemoryConfig(BaseSettings):
        description="Basic Memory Cloud host URL",
    )

+    cloud_mode: bool = Field(
+        default=False,
+        description="Enable cloud mode - all requests go to cloud instead of local (config file value)",
+    )
+
+    cloud_projects: Dict[str, CloudProjectConfig] = Field(
+        default_factory=dict,
+        description="Cloud project sync configuration mapping project names to their local paths and sync state",
+    )
+
    cloud_promo_opt_out: bool = Field(
        default=False,
        description="Disable CLI cloud promo messages when true.",
@@ -377,118 +277,16 @@ class BasicMemoryConfig(BaseSettings):
        description="Most recent cloud promo version shown in CLI.",
    )

-    auto_update: bool = Field(
-        default=True,
-        description="Enable automatic CLI update checks and installs when supported.",
-    )
-
-    update_check_interval: int = Field(
-        default=86400,
-        description="Seconds between automatic update checks.",
-        gt=0,
-    )
-
-    auto_update_last_checked_at: Optional[datetime] = Field(
-        default=None,
-        description="Timestamp of the last attempted automatic update check.",
-    )
-
    cloud_api_key: Optional[str] = Field(
        default=None,
        description="API key for cloud access (bmc_ prefixed). Account-level, not per-project.",
    )

-    default_workspace: Optional[str] = Field(
-        default=None,
-        description="Default cloud workspace tenant_id. Set by 'bm cloud workspace set-default'.",
+    project_modes: Dict[str, ProjectMode] = Field(
+        default_factory=dict,
+        description="Per-project routing mode. Projects not listed default to LOCAL.",
    )

-    @model_validator(mode="before")
-    @classmethod
-    def migrate_legacy_projects(cls, data: Any) -> Any:
-        """Migrate old-format config (Dict[str, str]) to new ProjectEntry format.
-
-        Old format stored projects as three separate dicts:
-          projects:      {"name": "/path"}
-          project_modes: {"name": "cloud"}
-          cloud_projects: {"name": {"local_path": "...", ...}}
-
-        New format unifies them into:
-          projects: {"name": {"path": "/path", "mode": "cloud", ...}}
-
-        Also removes stale keys (default_project_mode, permalinks_include_project)
-        that are no longer part of the config model.
-        """
-        if not isinstance(data, dict):
-            return data
-
-        # --- Remove stale keys from old config versions ---
-        data.pop("default_project_mode", None)
-        data.pop("cloud_mode", None)
-
-        projects = data.get("projects", {})
-        if not projects:
-            return data
-
-        # Check if already in new format — peek at first value
-        first_value = next(iter(projects.values()), None)
-        if isinstance(first_value, str):
-            # Old format: {"name": "/path"} → convert
-            project_modes = data.pop("project_modes", {})
-            cloud_projects = data.pop("cloud_projects", {})
-            new_projects: Dict[str, Any] = {}
-            for name, path in projects.items():
-                entry: Dict[str, Any] = {"path": path}
-                if name in project_modes:
-                    entry["mode"] = project_modes[name]
-                if name in cloud_projects:
-                    cp = cloud_projects[name]
-                    if isinstance(cp, dict):
-                        entry["local_sync_path"] = cp.get("local_path")
-                        entry["bisync_initialized"] = cp.get("bisync_initialized", False)
-                        entry["last_sync"] = cp.get("last_sync")
-                    else:
-                        # Already a CloudProjectConfig-like object
-                        entry["local_sync_path"] = getattr(cp, "local_path", None)
-                        entry["bisync_initialized"] = getattr(cp, "bisync_initialized", False)
-                        entry["last_sync"] = getattr(cp, "last_sync", None)
-                new_projects[name] = entry
-
-            # Pick up cloud_projects entries not already in projects
-            # These are cloud-only projects — path should be the local working
-            # directory (if one exists), local_path goes into local_sync_path for bisync
-            for name, cp in cloud_projects.items():
-                if name not in new_projects:
-                    if isinstance(cp, dict):
-                        local_path = cp.get("local_path", "")
-                        new_projects[name] = {
-                            "path": local_path or "",
-                            "mode": project_modes.get(name, "cloud"),
-                            "local_sync_path": local_path,
-                            "bisync_initialized": cp.get("bisync_initialized", False),
-                            "last_sync": cp.get("last_sync"),
-                        }
-
-            data["projects"] = new_projects
-        else:
-            # New format or dict-based — just clean up stale keys
-            data.pop("project_modes", None)
-            data.pop("cloud_projects", None)
-
-        # --- Promote local_sync_path into path for cloud projects with slug paths ---
-        # Trigger: project entry has local_sync_path set but path is a cloud slug (not absolute)
-        # Why: path must always be the local filesystem path; the cloud remote is derivable
-        # Outcome: path becomes the local directory, local_sync_path kept for backwards compat
-        projects = data.get("projects", {})
-        for name, entry in projects.items():
-            if isinstance(entry, dict):
-                lsp = entry.get("local_sync_path")
-                path = entry.get("path", "")
-                if lsp and not os.path.isabs(path):
-                    entry["path"] = lsp
-
-        return data
-
    @property
    def is_test_env(self) -> bool:
        """Check if running in a test environment.
@@ -506,33 +304,42 @@ class BasicMemoryConfig(BaseSettings):
            or os.getenv("PYTEST_CURRENT_TEST") is not None
        )

+    @property
+    def cloud_mode_enabled(self) -> bool:
+        """Check if cloud mode is enabled.
+
+        Priority:
+        1. BASIC_MEMORY_CLOUD_MODE environment variable
+        2. Config file value (cloud_mode)
+        """
+        env_value = os.environ.get("BASIC_MEMORY_CLOUD_MODE", "").lower()
+        if env_value in ("true", "1", "yes"):
+            return True
+        elif env_value in ("false", "0", "no"):
+            return False
+        # Fall back to config file value
+        return self.cloud_mode
+
    def get_project_mode(self, project_name: str) -> ProjectMode:
        """Get the routing mode for a project.

-        Returns the per-project mode if set.
-        Unknown projects (not in local config) default to CLOUD —
-        local projects are always registered in config.
+        Returns the per-project mode if set, otherwise LOCAL.
        """
-        entry = self.projects.get(project_name)
-        return entry.mode if entry else ProjectMode.CLOUD
+        return self.project_modes.get(project_name, ProjectMode.LOCAL)

    def set_project_mode(self, project_name: str, mode: ProjectMode) -> None:
-        """Set the routing mode for a project.
-
-        Creates a minimal ProjectEntry if the project doesn't already exist,
-        preserving backward compatibility with code that sets mode before
-        adding a full project entry.
-        """
-        if project_name in self.projects:
-            self.projects[project_name].mode = mode
+        """Set the routing mode for a project."""
+        if mode == ProjectMode.LOCAL:
+            # Remove from dict to keep config clean — LOCAL is the default
+            self.project_modes.pop(project_name, None)
        else:
-            self.projects[project_name] = ProjectEntry(path="", mode=mode)
+            self.project_modes[project_name] = mode

    @classmethod
    def for_cloud_tenant(
        cls,
        database_url: str,
-        projects: Optional[Dict[str, "ProjectEntry"]] = None,
+        projects: Optional[Dict[str, str]] = None,
    ) -> "BasicMemoryConfig":
        """Create config for cloud tenant - no config.json, database is source of truth.

@@ -554,6 +361,7 @@ class BasicMemoryConfig(BaseSettings):
            database_backend=DatabaseBackend.POSTGRES,
            database_url=database_url,
            projects=projects or {},
+            cloud_mode=True,
            skip_initialization_sync=True,
        )

@@ -569,7 +377,7 @@ class BasicMemoryConfig(BaseSettings):
        if name not in self.projects:
            raise ValueError(f"Project '{name}' not found in configuration")

-        return Path(self.projects[name].path)
+        return Path(self.projects[name])

    def model_post_init(self, __context: Any) -> None:
        """Ensure configuration is valid after initialization."""
@@ -577,25 +385,15 @@ class BasicMemoryConfig(BaseSettings):
        if self.database_backend == DatabaseBackend.POSTGRES:  # pragma: no cover
            return  # pragma: no cover

-        # Trigger: no projects configured (fresh install or empty config)
-        # Why: every config needs at least one project to be functional
-        # Outcome: creates "main" project using BASIC_MEMORY_HOME or ~/basic-memory
-        if not self.projects:
-            self.projects["main"] = ProjectEntry(
-                path=str(Path(os.getenv("BASIC_MEMORY_HOME", Path.home() / "basic-memory")))
+        # Ensure at least one project exists; if none exist then create main
+        if not self.projects:  # pragma: no cover
+            self.projects["main"] = str(
+                Path(os.getenv("BASIC_MEMORY_HOME", Path.home() / "basic-memory"))
            )

-        # Trigger: default_project was not explicitly provided in the input data
-        #          (config file omitted the key, or BasicMemoryConfig() called with no args)
-        # Why: callers like get_project_config() expect a valid project name;
-        #      but explicit None (discovery mode) must be preserved
-        # Outcome: sets default_project to the first available project
-        if "default_project" not in self.model_fields_set:
-            self.default_project = next(iter(self.projects.keys()))
-        # Trigger: default_project was explicitly set but references a non-existent project
-        # Why: project may have been removed or renamed since config was saved
-        # Outcome: corrects to the first available project
-        elif self.default_project is not None and self.default_project not in self.projects:
+        # Ensure default project is valid (i.e. points to an existing project)
+        if self.default_project not in self.projects:  # pragma: no cover
+            # Set default to first available project
            self.default_project = next(iter(self.projects.keys()))

    @property
@@ -631,8 +429,8 @@ class BasicMemoryConfig(BaseSettings):
    def project_list(self) -> List[ProjectConfig]:  # pragma: no cover
        """Get all configured projects as ProjectConfig objects."""
        return [
-            ProjectConfig(name=name, home=Path(entry.path), mode=entry.mode)
-            for name, entry in self.projects.items()
+            ProjectConfig(name=name, home=Path(path), mode=self.get_project_mode(name))
+            for name, path in self.projects.items()
        ]

    @model_validator(mode="after")
@@ -646,11 +444,8 @@ class BasicMemoryConfig(BaseSettings):
        if self.database_backend == DatabaseBackend.POSTGRES:
            return self

-        for name, entry in self.projects.items():
-            path = Path(entry.path)
-            # Skip cloud-only projects whose path is a slug, not a local directory
-            if not path.is_absolute():
-                continue
+        for name, path_value in self.projects.items():
+            path = Path(path_value)
            if not path.exists():
                try:
                    path.mkdir(parents=True)
@@ -671,12 +466,6 @@ class BasicMemoryConfig(BaseSettings):

 # Module-level cache for configuration
 _CONFIG_CACHE: Optional[BasicMemoryConfig] = None
-# Track config file mtime+size so cross-process changes (e.g. `bm project set-cloud`
-# in a separate terminal) invalidate the cache in long-lived processes like the
-# MCP stdio server. Using both mtime and size guards against coarse-granularity
-# filesystems where two writes within the same second share the same mtime.
-_CONFIG_MTIME: Optional[float] = None
-_CONFIG_SIZE: Optional[int] = None


 class ConfigManager:
@@ -710,70 +499,18 @@ class ConfigManager:
        Environment variables take precedence over file config values,
        following Pydantic Settings best practices.

-        Uses module-level cache with file mtime validation so that
-        cross-process config changes (e.g. `bm project set-cloud` in a
-        separate terminal) are picked up by long-lived processes like
-        the MCP stdio server.
+        Uses module-level cache for performance across ConfigManager instances.
        """
-        global _CONFIG_CACHE, _CONFIG_MTIME, _CONFIG_SIZE
+        global _CONFIG_CACHE

-        # Trigger: cached config exists but the on-disk file may have been
-        # modified by another process (CLI command in a different terminal).
-        # Why: the MCP server is long-lived; without this check it would
-        # serve stale project routing forever.
-        # Outcome: cheap os.stat() per access; re-read only when mtime or size differs.
+        # Return cached config if available
        if _CONFIG_CACHE is not None:
-            try:
-                st = self.config_file.stat()
-                current_mtime = st.st_mtime
-                current_size = st.st_size
-            except OSError:
-                current_mtime = None
-                current_size = None
-
-            if (
-                current_mtime is not None
-                and current_mtime == _CONFIG_MTIME
-                and current_size == _CONFIG_SIZE
-            ):
-                return _CONFIG_CACHE
-
-            # mtime/size changed or file gone — invalidate and fall through to re-read
-            _CONFIG_CACHE = None
-            _CONFIG_MTIME = None
-            _CONFIG_SIZE = None
+            return _CONFIG_CACHE

        if self.config_file.exists():
            try:
                file_data = json.loads(self.config_file.read_text(encoding="utf-8"))

-                # Detect legacy format before model validators strip stale keys
-                _STALE_KEYS = {
-                    "default_project_mode",
-                    "project_modes",
-                    "cloud_projects",
-                    "cloud_mode",
-                }
-                needs_resave = bool(_STALE_KEYS & file_data.keys())
-
-                # Check if projects dict uses old string-value format
-                projects_raw = file_data.get("projects", {})
-                if projects_raw:
-                    first_val = next(iter(projects_raw.values()), None)
-                    if isinstance(first_val, str):
-                        needs_resave = True
-
-                # Check if any project has local_sync_path set but path is a cloud slug
-                # (will be migrated by migrate_legacy_projects validator)
-                if not needs_resave:
-                    for entry_data in projects_raw.values():
-                        if isinstance(entry_data, dict):
-                            lsp = entry_data.get("local_sync_path")
-                            p = entry_data.get("path", "")
-                            if lsp and not os.path.isabs(p):
-                                needs_resave = True
-                                break
-
                # First, create config from environment variables (Pydantic will read them)
                # Then overlay with file data for fields that aren't set via env vars
                # This ensures env vars take precedence
@@ -795,39 +532,10 @@ class ConfigManager:
                        merged_data[field_name] = env_dict[field_name]

                _CONFIG_CACHE = BasicMemoryConfig(**merged_data)
-
-                # Record mtime+size so subsequent calls detect cross-process changes
-                try:
-                    st = self.config_file.stat()
-                    _CONFIG_MTIME = st.st_mtime
-                    _CONFIG_SIZE = st.st_size
-                except OSError:
-                    _CONFIG_MTIME = None
-                    _CONFIG_SIZE = None
-
-                # Re-save to normalize legacy config into current format
-                if needs_resave:
-                    # Create backup before overwriting so users can revert if needed
-                    backup_path = self.config_file.with_suffix(".json.bak")
-                    shutil.copy2(self.config_file, backup_path)
-                    logger.info(f"Migrating config to current format (backup: {backup_path})")
-                    save_basic_memory_config(self.config_file, _CONFIG_CACHE)
-
                return _CONFIG_CACHE
-            except json.JSONDecodeError as e:  # pragma: no cover
-                logger.error(f"Invalid JSON in config file {self.config_file}: {e}")
-                raise SystemExit(
-                    f"Error: config file is not valid JSON: {self.config_file}\n"
-                    f"  {e}\n"
-                    f"Fix or delete the file and re-run."
-                )
            except Exception as e:  # pragma: no cover
-                logger.error(f"Failed to load config from {self.config_file}: {e}")
-                raise SystemExit(
-                    f"Error: failed to load config from {self.config_file}\n"
-                    f"  {e}\n"
-                    f"Fix or delete the file and re-run."
-                )
+                logger.exception(f"Failed to load config: {e}")
+                raise e
        else:
            config = BasicMemoryConfig()
            self.save_config(config)
@@ -835,24 +543,18 @@ class ConfigManager:

    def save_config(self, config: BasicMemoryConfig) -> None:
        """Save configuration to file and invalidate cache."""
-        global _CONFIG_CACHE, _CONFIG_MTIME, _CONFIG_SIZE
+        global _CONFIG_CACHE
        save_basic_memory_config(self.config_file, config)
        # Invalidate cache so next load_config() reads fresh data
        _CONFIG_CACHE = None
-        _CONFIG_MTIME = None
-        _CONFIG_SIZE = None

    @property
    def projects(self) -> Dict[str, str]:
-        """Get all configured projects as name -> path mapping.
-
-        Returns the legacy Dict[str, str] format for backward compatibility
-        with code that expects project name -> filesystem path.
-        """
-        return {name: entry.path for name, entry in self.config.projects.items()}
+        """Get all configured projects."""
+        return self.config.projects.copy()

    @property
-    def default_project(self) -> Optional[str]:
+    def default_project(self) -> str:
        """Get the default project name."""
        return self.config.default_project

@@ -862,10 +564,13 @@ class ConfigManager:
        if project_name:  # pragma: no cover
            raise ValueError(f"Project '{name}' already exists")

-        # Load config, modify it, and save it
+        # Ensure the path exists
        project_path = Path(path)
+        project_path.mkdir(parents=True, exist_ok=True)  # pragma: no cover
+
+        # Load config, modify it, and save it
        config = self.load_config()
-        config.projects[name] = ProjectEntry(path=str(project_path))
+        config.projects[name] = str(project_path)
        self.save_config(config)
        return ProjectConfig(name=name, home=project_path)

@@ -897,15 +602,12 @@ class ConfigManager:
        self.save_config(config)

    def get_project(self, name: str) -> Tuple[str, str] | Tuple[None, None]:
-        """Look up a project from the configuration by name or permalink.
-
-        Returns (project_name, path_string) for backward compatibility.
-        """
+        """Look up a project from the configuration by name or permalink"""
        project_permalink = generate_permalink(name)
        app_config = self.config
-        for project_name, entry in app_config.projects.items():
+        for project_name, path in app_config.projects.items():
            if project_permalink == generate_permalink(project_name):
-                return project_name, entry.path
+                return project_name, path
        return None, None


@@ -940,28 +642,14 @@ def get_project_config(project_name: Optional[str] = None) -> ProjectConfig:

    project_permalink = generate_permalink(actual_project_name)

-    for name, entry in app_config.projects.items():
+    for name, path in app_config.projects.items():
        if project_permalink == generate_permalink(name):
-            return ProjectConfig(name=name, home=Path(entry.path))
+            return ProjectConfig(name=name, home=Path(path))

    # otherwise raise error
    raise ValueError(f"Project '{actual_project_name}' not found")  # pragma: no cover


-def has_cloud_credentials(config: BasicMemoryConfig) -> bool:
-    """Check if cloud credentials are available (API key or OAuth token).
-
-    Shared utility used by both MCP tools and CLI commands to determine
-    whether cloud project discovery is possible.
-    """
-    if config.cloud_api_key:
-        return True
-    from basic_memory.cli.auth import CLIAuth
-
-    auth = CLIAuth(client_id=config.cloud_client_id, authkit_domain=config.cloud_domain)
-    return auth.load_tokens() is not None
-
-
 def save_basic_memory_config(file_path: Path, config: BasicMemoryConfig) -> None:
    """Save configuration to file."""
    try:
@@ -975,50 +663,33 @@ def save_basic_memory_config(file_path: Path, config: BasicMemoryConfig) -> None
 # Logging initialization functions for different entry points


-def _configure_logfire_for_entrypoint(entrypoint: str) -> None:
-    """Configure optional Logfire telemetry for a specific entrypoint."""
-    config = ConfigManager().config
-    service_name = f"{config.logfire_service_name}-{entrypoint}"
-    environment = config.logfire_environment or config.env
-    configure_telemetry(
-        service_name=service_name,
-        environment=environment,
-        service_version=__version__,
-        enable_logfire=config.logfire_enabled,
-        send_to_logfire=config.logfire_send_to_logfire,
-    )
-
-
-def init_cli_logging() -> None:
+def init_cli_logging() -> None:  # pragma: no cover
    """Initialize logging for CLI commands - file only.

    CLI commands should not log to stdout to avoid interfering with
    command output and shell integration.
    """
    log_level = os.getenv("BASIC_MEMORY_LOG_LEVEL", "INFO")
-    _configure_logfire_for_entrypoint("cli")
    setup_logging(log_level=log_level, log_to_file=True)


-def init_mcp_logging() -> None:
+def init_mcp_logging() -> None:  # pragma: no cover
    """Initialize logging for MCP server - file only.

    MCP server must not log to stdout as it would corrupt the
    JSON-RPC protocol communication.
    """
    log_level = os.getenv("BASIC_MEMORY_LOG_LEVEL", "INFO")
-    _configure_logfire_for_entrypoint("mcp")
    setup_logging(log_level=log_level, log_to_file=True)


-def init_api_logging() -> None:
+def init_api_logging() -> None:  # pragma: no cover
    """Initialize logging for API server.

    Cloud mode (BASIC_MEMORY_CLOUD_MODE=1): stdout with structured context
    Local mode: file only
    """
    log_level = os.getenv("BASIC_MEMORY_LOG_LEVEL", "INFO")
-    _configure_logfire_for_entrypoint("api")
    cloud_mode = os.getenv("BASIC_MEMORY_CLOUD_MODE", "").lower() in ("1", "true")
    if cloud_mode:
        setup_logging(log_level=log_level, log_to_stdout=True, structured_context=True)
@@ -44,101 +44,6 @@ _engine: Optional[AsyncEngine] = None
 _session_maker: Optional[async_sessionmaker[AsyncSession]] = None


-async def _needs_semantic_embedding_backfill(
-    app_config: BasicMemoryConfig,
-    session_maker: async_sessionmaker[AsyncSession],
-) -> bool:
-    """Check if entities exist but vector embeddings are empty.
-
-    This is the reliable way to detect that embeddings need to be generated,
-    regardless of how migrations were applied (fresh DB, upgrade, reset, etc.).
-    """
-    if not app_config.semantic_search_enabled:
-        return False
-
-    try:
-        async with scoped_session(session_maker) as session:
-            entity_count = (
-                await session.execute(text("SELECT COUNT(*) FROM entity"))
-            ).scalar() or 0
-            if entity_count == 0:
-                return False
-
-            # Check if vector chunks table exists and is empty
-            embedding_count = (
-                await session.execute(text("SELECT COUNT(*) FROM search_vector_chunks"))
-            ).scalar() or 0
-
-            return embedding_count == 0
-    except Exception as exc:
-        # Table might not exist yet (pre-migration)
-        logger.debug(f"Could not check embedding status: {exc}")
-        return False
-
-
-async def _run_semantic_embedding_backfill(
-    app_config: BasicMemoryConfig,
-    session_maker: async_sessionmaker[AsyncSession],
-) -> None:
-    """Backfill semantic embeddings for all active projects/entities."""
-    if not app_config.semantic_search_enabled:
-        logger.info("Skipping automatic semantic embedding backfill: semantic search is disabled.")
-        return
-
-    async with scoped_session(session_maker) as session:
-        project_result = await session.execute(
-            text("SELECT id, name FROM project WHERE is_active = :is_active ORDER BY id"),
-            {"is_active": True},
-        )
-        projects = [(int(row[0]), str(row[1])) for row in project_result.fetchall()]
-
-    if not projects:
-        logger.info("Skipping automatic semantic embedding backfill: no active projects found.")
-        return
-
-    repository_class = (
-        PostgresSearchRepository
-        if app_config.database_backend == DatabaseBackend.POSTGRES
-        else SQLiteSearchRepository
-    )
-
-    total_entities = 0
-    for project_id, project_name in projects:
-        async with scoped_session(session_maker) as session:
-            entity_result = await session.execute(
-                text("SELECT id FROM entity WHERE project_id = :project_id ORDER BY id"),
-                {"project_id": project_id},
-            )
-            entity_ids = [int(row[0]) for row in entity_result.fetchall()]
-
-        if not entity_ids:
-            continue
-
-        total_entities += len(entity_ids)
-        logger.info(
-            "Automatic semantic embedding backfill: "
-            f"project={project_name}, entities={len(entity_ids)}"
-        )
-
-        search_repository = repository_class(
-            session_maker,
-            project_id=project_id,
-            app_config=app_config,
-        )
-        batch_result = await search_repository.sync_entity_vectors_batch(entity_ids)
-        if batch_result.entities_failed > 0:
-            logger.warning(
-                "Automatic semantic embedding backfill encountered entity failures: "
-                f"project={project_name}, failed={batch_result.entities_failed}, "
-                f"failed_entity_ids={batch_result.failed_entity_ids}"
-            )
-
-    logger.info(
-        "Automatic semantic embedding backfill complete: "
-        f"projects={len(projects)}, entities={total_entities}"
-    )
-
-
 class DatabaseType(Enum):
    """Types of supported databases."""

@@ -439,33 +344,24 @@ async def engine_session_factory(

    global _engine, _session_maker

-    # Use the same helper function as production code.
-    #
-    # Keep local references so teardown can deterministically dispose the
-    # specific engine created by this context manager, even if other code calls
-    # shutdown_db() and mutates module-level globals mid-test.
-    created_engine, created_session_maker = _create_engine_and_session(db_path, db_type, config)
-    _engine, _session_maker = created_engine, created_session_maker
+    # Use the same helper function as production code
+    _engine, _session_maker = _create_engine_and_session(db_path, db_type, config)

    try:
        # Verify that engine and session maker are initialized
-        if created_engine is None:  # pragma: no cover
+        if _engine is None:  # pragma: no cover
            logger.error("Database engine is None in engine_session_factory")
            raise RuntimeError("Database engine initialization failed")

-        if created_session_maker is None:  # pragma: no cover
+        if _session_maker is None:  # pragma: no cover
            logger.error("Session maker is None in engine_session_factory")
            raise RuntimeError("Session maker initialization failed")

-        yield created_engine, created_session_maker
+        yield _engine, _session_maker
    finally:
-        await created_engine.dispose()
-
-        # Only clear module-level globals if they still point to this context's
-        # engine/session. This avoids clobbering newer globals from other callers.
-        if _engine is created_engine:
+        if _engine:
+            await _engine.dispose()
            _engine = None
-        if _session_maker is created_session_maker:
            _session_maker = None


@@ -478,7 +374,6 @@ async def run_migrations(
    so it's safe to call this multiple times - it will only run pending migrations.
    """
    logger.info("Running database migrations...")
-    temp_engine: AsyncEngine | None = None
    try:
        # Get the absolute path to the alembic directory relative to this file
        alembic_dir = Path(__file__).parent / "alembic"
@@ -503,9 +398,7 @@ async def run_migrations(

        # Get session maker - ensure we don't trigger recursive migration calls
        if _session_maker is None:
-            temp_engine, session_maker = _create_engine_and_session(
-                app_config.database_path, database_type, app_config
-            )
+            _, session_maker = _create_engine_and_session(app_config.database_path, database_type)
        else:
            session_maker = _session_maker

@@ -520,23 +413,6 @@ async def run_migrations(
            await PostgresSearchRepository(session_maker, 1).init_search_index()
        else:
            await SQLiteSearchRepository(session_maker, 1).init_search_index()
-
-        # Check if backfill is needed — actual backfill runs in background
-        # from the MCP server lifespan to avoid blocking startup.
-        if await _needs_semantic_embedding_backfill(app_config, session_maker):
-            logger.info(
-                "Semantic embeddings missing — backfill will run in background after startup"
-            )
-        else:
-            logger.info("Semantic embeddings: up to date")
    except Exception as e:  # pragma: no cover
        logger.error(f"Error running migrations: {e}")
        raise
-    finally:
-        # Trigger: run_migrations() created a temporary engine while module-level
-        # session maker was not initialized.
-        # Why: temporary aiosqlite worker threads can outlive CLI command execution
-        # and block process shutdown if the engine is not disposed.
-        # Outcome: always dispose temporary engines after migration work completes.
-        if temp_engine is not None:
-            await temp_engine.dispose()
@@ -8,8 +8,6 @@ This module provides service-layer dependencies:
 """

 import asyncio
-import os
-from pathlib import Path
 from typing import Annotated, Any, Callable, Coroutine, Mapping, Protocol

 from fastapi import Depends
@@ -309,13 +307,11 @@ async def get_context_service(
    search_repository: SearchRepositoryDep,
    entity_repository: EntityRepositoryDep,
    observation_repository: ObservationRepositoryDep,
-    link_resolver: LinkResolverDep,
 ) -> ContextService:
    return ContextService(
        search_repository=search_repository,
        entity_repository=entity_repository,
        observation_repository=observation_repository,
-        link_resolver=link_resolver,
    )


@@ -326,14 +322,12 @@ async def get_context_service_v2(  # pragma: no cover
    search_repository: SearchRepositoryV2Dep,
    entity_repository: EntityRepositoryV2Dep,
    observation_repository: ObservationRepositoryV2Dep,
-    link_resolver: LinkResolverV2Dep,
 ) -> ContextService:
    """Create ContextService for v2 API."""
    return ContextService(
        search_repository=search_repository,
        entity_repository=entity_repository,
        observation_repository=observation_repository,
-        link_resolver=link_resolver,
    )


@@ -344,14 +338,12 @@ async def get_context_service_v2_external(
    search_repository: SearchRepositoryV2ExternalDep,
    entity_repository: EntityRepositoryV2ExternalDep,
    observation_repository: ObservationRepositoryV2ExternalDep,
-    link_resolver: LinkResolverV2ExternalDep,
 ) -> ContextService:
    """Create ContextService for v2 API (uses external_id)."""
    return ContextService(
        search_repository=search_repository,
        entity_repository=entity_repository,
        observation_repository=observation_repository,
-        link_resolver=link_resolver,
    )


@@ -454,22 +446,13 @@ def _log_task_failure(completed: asyncio.Task) -> None:


 class LocalTaskScheduler:
-    """Default scheduler that runs tasks in-process via asyncio.create_task.
-
-    In test mode (BASIC_MEMORY_ENV=test), tasks run as no-ops to avoid
-    background asyncio tasks racing against test teardown and causing
-    SQLite 'cannot commit transaction' errors.
-    """
+    """Default scheduler that runs tasks in-process via asyncio.create_task."""

    def __init__(
        self,
        handlers: Mapping[str, Callable[..., Coroutine[Any, Any, None]]],
-        test_mode: bool | None = None,
    ) -> None:
        self._handlers = handlers
-        self._test_mode = (
-            test_mode if test_mode is not None else os.environ.get("BASIC_MEMORY_ENV") == "test"
-        )

    def schedule(self, task_name: str, **payload: Any) -> None:
        handler = self._handlers.get(task_name)
@@ -478,15 +461,6 @@ class LocalTaskScheduler:
        # Outcome: fail fast to surface misconfiguration
        if not handler:
            raise ValueError(f"Unknown task name: {task_name}")
-
-        # Trigger: running inside pytest (BASIC_MEMORY_ENV=test)
-        # Why: background create_task() outlives test fixtures and races
-        #      against engine disposal, causing flaky SQLite errors
-        # Outcome: skip background scheduling; tests exercise the sync
-        #          codepaths directly when they need to
-        if self._test_mode:
-            return
-
        task = asyncio.create_task(handler(**payload))
        task.add_done_callback(_log_task_failure)

@@ -542,8 +516,7 @@ async def get_task_scheduler(
            "sync_entity_vectors": _sync_entity_vectors,
            "sync_project": _sync_project,
            "reindex_project": _reindex_project,
-        },
-        test_mode=app_config.is_test_env,
+        }
    )
    return scheduler

@@ -556,15 +529,9 @@ TaskSchedulerDep = Annotated[TaskScheduler, Depends(get_task_scheduler)]

 async def get_project_service(
    project_repository: ProjectRepositoryDep,
-    app_config: AppConfigDep,
 ) -> ProjectService:
-    """Create ProjectService with repository and a system-level FileService for directory operations."""
-    # A system-level FileService for project directory creation (no project-specific base_path needed).
-    # ensure_directory() accepts absolute paths and ignores base_path for those, so Path.home() is safe.
-    entity_parser = EntityParser(Path.home())
-    markdown_processor = MarkdownProcessor(entity_parser, app_config=app_config)
-    file_service = FileService(Path.home(), markdown_processor, app_config=app_config)
-    return ProjectService(repository=project_repository, file_service=file_service)
+    """Create ProjectService with repository."""
+    return ProjectService(repository=project_repository)


 ProjectServiceDep = Annotated[ProjectService, Depends(get_project_service)]
@@ -447,11 +447,6 @@ def sanitize_for_filename(text: str, replacement: str = "-") -> str:
    # compress multiple, repeated replacements
    text = re.sub(f"{re.escape(replacement)}+", replacement, text)

-    # Strip trailing periods — they cause "hi-everyone..md" double-dot filenames
-    # when ".md" is appended, which triggers path traversal false positives.
-    # Trailing periods are also invalid on Windows filesystems.
-    text = text.strip(".")
-
    return text.strip(replacement)


@@ -54,9 +54,9 @@ class ClaudeConversationsImporter(Importer[ChatImportResult]):
            for chat in conversations:
                # Get name, providing default for unnamed conversations
                chat_name = chat.get("name") or f"Conversation {chat.get('uuid', 'untitled')}"
-                date_prefix = datetime.fromisoformat(
-                    chat["created_at"].replace("Z", "+00:00")
-                ).strftime("%Y%m%d")
+                date_prefix = datetime.fromisoformat(chat["created_at"].replace("Z", "+00:00")).strftime(
+                    "%Y%m%d"
+                )
                clean_title = clean_filename(chat_name)
                relative_path = (
                    f"{destination_folder}/{date_prefix}-{clean_title}"
@@ -88,22 +88,6 @@ def normalize_frontmatter_value(value: Any) -> Any:
    return value


-def _coerce_to_string(value: Any) -> str:
-    """Coerce a frontmatter value to a string.
-
-    YAML can parse scalar-looking fields as lists when the author uses block
-    sequence syntax.  For fields like ``title`` and ``type`` that *must* be
-    strings, this helper converts lists to a comma-separated string and any
-    other non-string type via ``str()``.
-    """
-    if isinstance(value, str):
-        return value
-    if isinstance(value, list):
-        # Join list items, converting each to string first
-        return ", ".join(str(item) for item in value)
-    return str(value)
-
-
 def normalize_frontmatter_metadata(metadata: dict) -> dict:
    """Normalize all values in frontmatter metadata dict.

@@ -249,15 +233,9 @@ class EntityParser:

        content = strip_bom(content)

-        # Parse frontmatter with proper error handling for malformed YAML.
-        # We use frontmatter.parse() instead of frontmatter.loads() because
-        # loads() does Post(content, handler, **metadata), which crashes when
-        # the YAML contains reserved keys like 'content' or 'handler'.
-        # See basic-memory-cloud#375.
+        # Parse frontmatter with proper error handling for malformed YAML
        try:
-            fm_metadata, fm_content = frontmatter.parse(content)
-            post = frontmatter.Post(fm_content)
-            post.metadata.update(fm_metadata)
+            post = frontmatter.loads(content)
        except yaml.YAMLError as e:
            logger.warning(
                f"Failed to parse YAML frontmatter in {file_path}: {e}. "
@@ -270,22 +248,15 @@ class EntityParser:
        # Normalize frontmatter values
        metadata = normalize_frontmatter_metadata(post.metadata)

-        # Ensure required string fields are always strings.
-        # YAML can parse these as lists when authors use block sequence syntax
-        # (e.g. "title:\n  - My Title"), causing 'list' has no attribute 'strip'
-        # downstream.  See basic-memory-cloud#376.
+        # Ensure required fields have defaults
        title = metadata.get("title")
-        if title is not None:
-            title = _coerce_to_string(title)
        if not title or title == "None":
            metadata["title"] = file_path.stem
        else:
            metadata["title"] = title

-        note_type = metadata.get("type")
-        if note_type is not None:
-            note_type = _coerce_to_string(note_type)
-        metadata["type"] = note_type if note_type is not None else "note"
+        entity_type = metadata.get("type")
+        metadata["type"] = entity_type if entity_type is not None else "note"

        tags = parse_tags(metadata.get("tags", []))  # pyright: ignore
        if tags:
@@ -50,7 +50,7 @@ def entity_model_from_markdown(

    # Update basic fields
    model.title = markdown.frontmatter.title
-    model.note_type = markdown.frontmatter.type
+    model.entity_type = markdown.frontmatter.type
    # Only update permalink if it exists in frontmatter, otherwise preserve existing
    if markdown.frontmatter.permalink is not None:
        model.permalink = markdown.frontmatter.permalink
@@ -86,7 +86,7 @@ async def schema_to_markdown(schema: Any) -> Post:
    Convert schema to markdown Post object.

    Args:
-        schema: Schema to convert (must have title, note_type, and permalink attributes)
+        schema: Schema to convert (must have title, entity_type, and permalink attributes)

    Returns:
        Post object with frontmatter metadata
@@ -113,7 +113,7 @@ async def schema_to_markdown(schema: Any) -> Post:
    post = Post(
        content,
        title=schema.title,
-        type=schema.note_type,
+        type=schema.entity_type,
    )
    # set the permalink if passed in
    if schema.permalink:
@@ -1,253 +1,235 @@
 import os
-from contextlib import AbstractAsyncContextManager, asynccontextmanager
+from contextlib import asynccontextmanager, AbstractAsyncContextManager
 from typing import AsyncIterator, Callable, Optional

 from httpx import ASGITransport, AsyncClient, Timeout
 from loguru import logger

-from basic_memory import telemetry
 from basic_memory.api.app import app as fastapi_app
 from basic_memory.config import ConfigManager, ProjectMode


 def _force_local_mode() -> bool:
-    """Check if local mode is forced via environment variable."""
+    """Check if local mode is forced via environment variable.
+
+    This allows commands like `bm mcp` to force local routing even when
+    cloud_mode_enabled is True in config. The local MCP server should
+    always talk to the local API, not the cloud proxy.
+
+    Returns:
+        True if BASIC_MEMORY_FORCE_LOCAL is set to a truthy value
+    """
    return os.environ.get("BASIC_MEMORY_FORCE_LOCAL", "").lower() in ("true", "1", "yes")


-def _force_cloud_mode() -> bool:
-    """Check if cloud mode is forced via environment variable."""
-    return os.environ.get("BASIC_MEMORY_FORCE_CLOUD", "").lower() in ("true", "1", "yes")
-
-
-def _explicit_routing() -> bool:
-    """Check if CLI --local/--cloud flag was explicitly passed."""
-    return os.environ.get("BASIC_MEMORY_EXPLICIT_ROUTING", "").lower() in ("true", "1", "yes")
-
-
-def _build_timeout() -> Timeout:
-    """Create a standard timeout config used across all clients."""
-    return Timeout(
-        connect=10.0,
-        read=30.0,
-        write=30.0,
-        pool=30.0,
-    )
-
-
-def _asgi_client(timeout: Timeout) -> AsyncClient:
-    """Create a local ASGI client."""
-    return AsyncClient(
-        transport=ASGITransport(app=fastapi_app), base_url="http://test", timeout=timeout
-    )
-
-
-async def _resolve_cloud_token(config) -> str:
-    """Resolve cloud token with API key preferred, OAuth fallback."""
-    with telemetry.span(
-        "routing.resolve_cloud_credentials",
-        has_api_key=bool(config.cloud_api_key),
-    ):
-        token = config.cloud_api_key
-        if token:
-            return token
-
-        from basic_memory.cli.auth import CLIAuth
-
-        auth = CLIAuth(client_id=config.cloud_client_id, authkit_domain=config.cloud_domain)
-        token = await auth.get_valid_token()
-        if token:
-            return token
-
-        logger.error("Cloud routing requested but no credentials were available")
-        raise RuntimeError(
-            "Cloud routing requested but no credentials found. "
-            "Run 'bm cloud api-key save <key>' or 'bm cloud login' first."
-        )
-
-
-def resolve_configured_workspace(
-    *,
-    config=None,
-    project_name: Optional[str] = None,
-    workspace: Optional[str] = None,
-) -> Optional[str]:
-    """Resolve workspace from explicit input, per-project config, then global default."""
-    if workspace is not None:
-        return workspace
-
-    if config is None:
-        config = ConfigManager().config
-
-    if project_name is not None:
-        project_entry = config.projects.get(project_name)
-        if project_entry and project_entry.workspace_id:
-            return project_entry.workspace_id
-
-    return config.default_workspace
-
-
-@asynccontextmanager
-async def _cloud_client(
-    config,
-    timeout: Timeout,
-    workspace: Optional[str] = None,
-) -> AsyncIterator[AsyncClient]:
-    """Create a cloud proxy client with resolved credentials."""
-    token = await _resolve_cloud_token(config)
-    proxy_base_url = f"{config.cloud_host}/proxy"
-    headers = {"Authorization": f"Bearer {token}"}
-    if workspace:
-        headers["X-Workspace-ID"] = workspace
-    logger.info(f"Creating HTTP client for cloud proxy at: {proxy_base_url}")
-    async with AsyncClient(
-        base_url=proxy_base_url,
-        headers=headers,
-        timeout=timeout,
-    ) as client:
-        yield client
-
-
-@asynccontextmanager
-async def get_cloud_control_plane_client(
-    workspace: Optional[str] = None,
-) -> AsyncIterator[AsyncClient]:
-    """Create a control-plane cloud client for endpoints outside /proxy."""
-    config = ConfigManager().config
-    timeout = _build_timeout()
-    token = await _resolve_cloud_token(config)
-    headers = {"Authorization": f"Bearer {token}"}
-    if workspace:
-        headers["X-Workspace-ID"] = workspace
-    logger.info(f"Creating HTTP client for cloud control plane at: {config.cloud_host}")
-    async with AsyncClient(
-        base_url=config.cloud_host,
-        headers=headers,
-        timeout=timeout,
-    ) as client:
-        yield client
-
-
 # Optional factory override for dependency injection
 _client_factory: Optional[Callable[[], AbstractAsyncContextManager[AsyncClient]]] = None


 def set_client_factory(factory: Callable[[], AbstractAsyncContextManager[AsyncClient]]) -> None:
-    """Override the default client factory (for cloud app, testing, etc)."""
+    """Override the default client factory (for cloud app, testing, etc).
+
+    Args:
+        factory: An async context manager that yields an AsyncClient
+
+    Example:
+        @asynccontextmanager
+        async def custom_client_factory():
+            async with AsyncClient(...) as client:
+                yield client
+
+        set_client_factory(custom_client_factory)
+    """
    global _client_factory
    _client_factory = factory


-def is_factory_mode() -> bool:
-    """Return True when a client factory override is active (e.g., cloud app)."""
-    return _client_factory is not None
-
-
-@asynccontextmanager
-async def get_cloud_proxy_client(
-    workspace: Optional[str] = None,
-) -> AsyncIterator[AsyncClient]:
-    """Create a cloud proxy client for project-level operations.
-
-    Used by MCP tools to fetch cloud project lists independently of the
-    default get_client() routing, which always goes through the local ASGI
-    transport in stdio mode.
-    """
-    config = ConfigManager().config
-    timeout = _build_timeout()
-    async with _cloud_client(config, timeout, workspace=workspace) as client:
-        yield client
-
-
@asynccontextmanager
 async def get_client(
    project_name: Optional[str] = None,
-    workspace: Optional[str] = None,
 ) -> AsyncIterator[AsyncClient]:
    """Get an AsyncClient as a context manager.

-    Routing priority:
-    1. Factory injection.
-    2. Explicit routing flags (--local/--cloud).
-    3. Per-project mode routing when project_name is provided.
-    4. Local ASGI transport by default.
+    This function provides proper resource management for HTTP clients,
+    ensuring connections are closed after use. Routing priority:
+
+    1. **Factory injection** (cloud app, tests):
+       If a custom factory is set via set_client_factory(), use that.
+
+    2. **Per-project cloud mode** (project_name provided):
+       If the project's mode is CLOUD, routes to cloud using API key or
+       OAuth token. Honored even when FORCE_LOCAL is set, because the user
+       explicitly declared this project as cloud.
+
+    3. **Per-project local mode** (project_name provided):
+       If the project's mode is LOCAL (or unspecified, default LOCAL), route
+       to local ASGI transport. This allows mixed local/cloud routing even when
+       global cloud mode is enabled.
+
+    4. **Force-local** (BASIC_MEMORY_FORCE_LOCAL env var):
+       Routes to local ASGI transport, ignoring global cloud settings.
+
+    5. **Global cloud mode** (deprecated fallback):
+       When cloud_mode_enabled is True, uses OAuth JWT token.
+
+    6. **Local mode** (default):
+       Use ASGI transport for in-process requests to local FastAPI app.
+
+    Args:
+        project_name: Optional project name for per-project routing.
+            If provided and the project's mode is CLOUD, routes to cloud
+            using the API key or OAuth token.
+
+    Usage:
+        async with get_client() as client:
+            response = await client.get("/path")
+
+        # Per-project routing
+        async with get_client(project_name="research") as client:
+            response = await client.get("/path")
+
+    Yields:
+        AsyncClient: Configured HTTP client for the current mode
+
+    Raises:
+        RuntimeError: If cloud routing needed but no API key / not authenticated
    """
    if _client_factory:
+        # Use injected factory (cloud app, tests)
        async with _client_factory() as client:
            yield client
-        return
+    else:
+        # Default: create based on config
+        config = ConfigManager().config
+        timeout = Timeout(
+            connect=10.0,  # 10 seconds for connection
+            read=30.0,  # 30 seconds for reading response
+            write=30.0,  # 30 seconds for writing request
+            pool=30.0,  # 30 seconds for connection pool
+        )

-    config = ConfigManager().config
-    timeout = _build_timeout()
+        # Trigger: project has per-project cloud mode set
+        # Why: per-project CLOUD is an explicit user declaration that should be
+        #      honored even from the MCP server (which sets FORCE_LOCAL)
+        # Outcome: HTTP client with API key or OAuth auth to cloud proxy
+        if project_name and config.get_project_mode(project_name) == ProjectMode.CLOUD:
+            # Try API key first (explicit, no network)
+            token = config.cloud_api_key
+            if not token:
+                # Fall back to OAuth session (may refresh token)
+                from basic_memory.cli.auth import CLIAuth

-    # --- Explicit routing override ---
-    # Trigger: user passed --local/--cloud.
-    # Why: command-level override should be deterministic and bypass project mode.
-    # Outcome: route strictly based on explicit flag.
-    if _explicit_routing():
-        if _force_local_mode():
-            logger.debug("Explicit local routing enabled - using ASGI client")
-            async with _asgi_client(timeout) as client:
-                yield client
-            return
+                auth = CLIAuth(client_id=config.cloud_client_id, authkit_domain=config.cloud_domain)
+                token = await auth.get_valid_token()

-        if _force_cloud_mode():
-            logger.debug("Explicit cloud routing enabled - using cloud proxy client")
-            effective_workspace = resolve_configured_workspace(
-                config=config,
-                project_name=project_name,
-                workspace=workspace,
-            )
-            async with _cloud_client(config, timeout, workspace=effective_workspace) as client:
-                yield client
-            return
-
-    # --- Per-project routing ---
-    # Trigger: project_name provided without explicit routing override.
-    # Why: project mode is the source of truth for project-scoped commands.
-    # Outcome: route via project.mode (CLOUD/LOCAL).
-    if project_name is not None and not _explicit_routing():
-        project_mode = config.get_project_mode(project_name)
-        if project_mode == ProjectMode.CLOUD:
-            logger.debug(f"Project '{project_name}' is cloud mode - using cloud proxy client")
-            effective_workspace = resolve_configured_workspace(
-                config=config,
-                project_name=project_name,
-                workspace=workspace,
-            )
-            try:
-                async with _cloud_client(config, timeout, workspace=effective_workspace) as client:
-                    yield client
-            except RuntimeError as exc:
+            if not token:
                raise RuntimeError(
                    f"Project '{project_name}' is set to cloud mode but no credentials found. "
-                    "Run 'bm cloud api-key save <key>' or 'bm cloud login' first."
-                ) from exc
-            return
+                    "Run 'bm cloud set-key <key>' or 'bm cloud login' first."
+                )

-        logger.debug(f"Project '{project_name}' is local mode - using ASGI client")
-        async with _asgi_client(timeout) as client:
-            yield client
-        return
+            proxy_base_url = f"{config.cloud_host}/proxy"
+            logger.info(
+                f"Creating HTTP client for cloud project '{project_name}' at: {proxy_base_url}"
+            )
+            async with AsyncClient(
+                base_url=proxy_base_url,
+                headers={"Authorization": f"Bearer {token}"},
+                timeout=timeout,
+            ) as client:
+                yield client

-    # --- Default fallback ---
-    logger.debug("Default routing - using ASGI client for local Basic Memory API")
-    async with _asgi_client(timeout) as client:
-        yield client
+        # Trigger: project is not explicitly cloud (LOCAL is the default)
+        # Why: project-scoped routing should honor local mode even when global
+        #      cloud mode is enabled for backward compatibility
+        # Outcome: uses ASGI transport for in-process local API calls
+        elif project_name and config.get_project_mode(project_name) == ProjectMode.LOCAL:
+            logger.info(f"Project '{project_name}' is set to local mode - using ASGI transport")
+            async with AsyncClient(
+                transport=ASGITransport(app=fastapi_app), base_url="http://test", timeout=timeout
+            ) as client:
+                yield client
+
+        # Trigger: BASIC_MEMORY_FORCE_LOCAL env var is set
+        # Why: allows local MCP server and CLI commands to route locally
+        #      even when cloud_mode_enabled is True
+        # Outcome: uses ASGI transport for in-process local API calls
+        elif _force_local_mode():
+            logger.info("Force local mode enabled - using ASGI client for local Basic Memory API")
+            async with AsyncClient(
+                transport=ASGITransport(app=fastapi_app), base_url="http://test", timeout=timeout
+            ) as client:
+                yield client
+
+        elif config.cloud_mode_enabled:
+            # Global cloud mode (deprecated fallback): inject OAuth auth when creating client
+            from basic_memory.cli.auth import CLIAuth
+
+            auth = CLIAuth(client_id=config.cloud_client_id, authkit_domain=config.cloud_domain)
+            token = await auth.get_valid_token()
+
+            if not token:
+                raise RuntimeError(
+                    "Cloud mode enabled but not authenticated. "
+                    "Run 'basic-memory cloud login' first."
+                )
+
+            # Auth header set ONCE at client creation
+            proxy_base_url = f"{config.cloud_host}/proxy"
+            logger.info(f"Creating HTTP client for cloud proxy at: {proxy_base_url}")
+            async with AsyncClient(
+                base_url=proxy_base_url,
+                headers={"Authorization": f"Bearer {token}"},
+                timeout=timeout,
+            ) as client:
+                yield client
+        else:
+            # Local mode: ASGI transport for in-process calls
+            # Note: ASGI transport does NOT trigger FastAPI lifespan, so no special handling needed
+            logger.info("Creating ASGI client for local Basic Memory API")
+            async with AsyncClient(
+                transport=ASGITransport(app=fastapi_app), base_url="http://test", timeout=timeout
+            ) as client:
+                yield client


 def create_client() -> AsyncClient:
-    """Create an HTTP client based on explicit routing flags.
+    """Create an HTTP client based on configuration.

    DEPRECATED: Use get_client() context manager instead for proper resource management.
+
+    This function is kept for backward compatibility but will be removed in a future version.
+    The returned client should be closed manually by calling await client.aclose().
+
+    Returns:
+        AsyncClient configured for either local ASGI or remote proxy
    """
-    timeout = _build_timeout()
+    config_manager = ConfigManager()
+    config = config_manager.config

-    if _force_local_mode() or not _force_cloud_mode():
+    # Configure timeout for longer operations like write_note
+    # Default httpx timeout is 5 seconds which is too short for file operations
+    timeout = Timeout(
+        connect=10.0,  # 10 seconds for connection
+        read=30.0,  # 30 seconds for reading response
+        write=30.0,  # 30 seconds for writing request
+        pool=30.0,  # 30 seconds for connection pool
+    )
+
+    # Check force local first (for local MCP server and CLI --local flag)
+    if _force_local_mode():
+        logger.info("Force local mode enabled - using ASGI client for local Basic Memory API")
+        return AsyncClient(
+            transport=ASGITransport(app=fastapi_app), base_url="http://test", timeout=timeout
+        )
+    elif config.cloud_mode_enabled:
+        # Use HTTP transport to proxy endpoint
+        proxy_base_url = f"{config.cloud_host}/proxy"
+        logger.info(f"Creating HTTP client for proxy at: {proxy_base_url}")
+        return AsyncClient(base_url=proxy_base_url, timeout=timeout)
+    else:
+        # Default: use ASGI transport for local API (development mode)
        logger.info("Creating ASGI client for local Basic Memory API")
-        return _asgi_client(timeout)
-
-    logger.info("Creating HTTP client for cloud proxy (legacy create_client path)")
-    config = ConfigManager().config
-    proxy_base_url = f"{config.cloud_host}/proxy"
-    return AsyncClient(base_url=proxy_base_url, timeout=timeout)
+        return AsyncClient(
+            transport=ASGITransport(app=fastapi_app), base_url="http://test", timeout=timeout
+        )
@@ -7,7 +7,6 @@ from typing import Any

 from httpx import AsyncClient

-from basic_memory import telemetry
 from basic_memory.mcp.tools.utils import call_get, call_post, call_put, call_patch, call_delete
 from basic_memory.schemas.response import (
    EntityResponse,
@@ -59,21 +58,12 @@ class KnowledgeClient:
            ToolError: If the request fails
        """
        params = {"fast": fast} if fast is not None else None
-        with telemetry.scope(
-            "mcp.client.knowledge.create_entity",
-            client_name="knowledge",
-            operation="create_entity",
-            fast=fast,
-        ):
-            response = await call_post(
-                self.http_client,
-                f"{self._base_path}/entities",
-                json=entity_data,
-                params=params,
-                client_name="knowledge",
-                operation="create_entity",
-                path_template="/v2/projects/{project_id}/knowledge/entities",
-            )
+        response = await call_post(
+            self.http_client,
+            f"{self._base_path}/entities",
+            json=entity_data,
+            params=params,
+        )
        return EntityResponse.model_validate(response.json())

    async def update_entity(
@@ -96,21 +86,12 @@ class KnowledgeClient:
            ToolError: If the request fails
        """
        params = {"fast": fast} if fast is not None else None
-        with telemetry.scope(
-            "mcp.client.knowledge.update_entity",
-            client_name="knowledge",
-            operation="update_entity",
-            fast=fast,
-        ):
-            response = await call_put(
-                self.http_client,
-                f"{self._base_path}/entities/{entity_id}",
-                json=entity_data,
-                params=params,
-                client_name="knowledge",
-                operation="update_entity",
-                path_template="/v2/projects/{project_id}/knowledge/entities/{entity_id}",
-            )
+        response = await call_put(
+            self.http_client,
+            f"{self._base_path}/entities/{entity_id}",
+            json=entity_data,
+            params=params,
+        )
        return EntityResponse.model_validate(response.json())

    async def get_entity(self, entity_id: str) -> EntityResponse:
@@ -125,18 +106,10 @@ class KnowledgeClient:
        Raises:
            ToolError: If the entity is not found or request fails
        """
-        with telemetry.scope(
-            "mcp.client.knowledge.get_entity",
-            client_name="knowledge",
-            operation="get_entity",
-        ):
-            response = await call_get(
-                self.http_client,
-                f"{self._base_path}/entities/{entity_id}",
-                client_name="knowledge",
-                operation="get_entity",
-                path_template="/v2/projects/{project_id}/knowledge/entities/{entity_id}",
-            )
+        response = await call_get(
+            self.http_client,
+            f"{self._base_path}/entities/{entity_id}",
+        )
        return EntityResponse.model_validate(response.json())

    async def patch_entity(
@@ -159,21 +132,12 @@ class KnowledgeClient:
            ToolError: If the request fails
        """
        params = {"fast": fast} if fast is not None else None
-        with telemetry.scope(
-            "mcp.client.knowledge.patch_entity",
-            client_name="knowledge",
-            operation="patch_entity",
-            fast=fast,
-        ):
-            response = await call_patch(
-                self.http_client,
-                f"{self._base_path}/entities/{entity_id}",
-                json=patch_data,
-                params=params,
-                client_name="knowledge",
-                operation="patch_entity",
-                path_template="/v2/projects/{project_id}/knowledge/entities/{entity_id}",
-            )
+        response = await call_patch(
+            self.http_client,
+            f"{self._base_path}/entities/{entity_id}",
+            json=patch_data,
+            params=params,
+        )
        return EntityResponse.model_validate(response.json())

    async def delete_entity(self, entity_id: str) -> DeleteEntitiesResponse:
@@ -188,18 +152,10 @@ class KnowledgeClient:
        Raises:
            ToolError: If the entity is not found or request fails
        """
-        with telemetry.scope(
-            "mcp.client.knowledge.delete_entity",
-            client_name="knowledge",
-            operation="delete_entity",
-        ):
-            response = await call_delete(
-                self.http_client,
-                f"{self._base_path}/entities/{entity_id}",
-                client_name="knowledge",
-                operation="delete_entity",
-                path_template="/v2/projects/{project_id}/knowledge/entities/{entity_id}",
-            )
+        response = await call_delete(
+            self.http_client,
+            f"{self._base_path}/entities/{entity_id}",
+        )
        return DeleteEntitiesResponse.model_validate(response.json())

    async def move_entity(self, entity_id: str, destination_path: str) -> EntityResponse:
@@ -215,19 +171,11 @@ class KnowledgeClient:
        Raises:
            ToolError: If the request fails
        """
-        with telemetry.scope(
-            "mcp.client.knowledge.move_entity",
-            client_name="knowledge",
-            operation="move_entity",
-        ):
-            response = await call_put(
-                self.http_client,
-                f"{self._base_path}/entities/{entity_id}/move",
-                json={"destination_path": destination_path},
-                client_name="knowledge",
-                operation="move_entity",
-                path_template="/v2/projects/{project_id}/knowledge/entities/{entity_id}/move",
-            )
+        response = await call_put(
+            self.http_client,
+            f"{self._base_path}/entities/{entity_id}/move",
+            json={"destination_path": destination_path},
+        )
        return EntityResponse.model_validate(response.json())

    async def move_directory(
@@ -245,22 +193,14 @@ class KnowledgeClient:
        Raises:
            ToolError: If the request fails
        """
-        with telemetry.scope(
-            "mcp.client.knowledge.move_directory",
-            client_name="knowledge",
-            operation="move_directory",
-        ):
-            response = await call_post(
-                self.http_client,
-                f"{self._base_path}/move-directory",
-                json={
-                    "source_directory": source_directory,
-                    "destination_directory": destination_directory,
-                },
-                client_name="knowledge",
-                operation="move_directory",
-                path_template="/v2/projects/{project_id}/knowledge/move-directory",
-            )
+        response = await call_post(
+            self.http_client,
+            f"{self._base_path}/move-directory",
+            json={
+                "source_directory": source_directory,
+                "destination_directory": destination_directory,
+            },
+        )
        return DirectoryMoveResult.model_validate(response.json())

    async def delete_directory(self, directory: str) -> DirectoryDeleteResult:
@@ -275,29 +215,20 @@ class KnowledgeClient:
        Raises:
            ToolError: If the request fails
        """
-        with telemetry.scope(
-            "mcp.client.knowledge.delete_directory",
-            client_name="knowledge",
-            operation="delete_directory",
-        ):
-            response = await call_post(
-                self.http_client,
-                f"{self._base_path}/delete-directory",
-                json={"directory": directory},
-                client_name="knowledge",
-                operation="delete_directory",
-                path_template="/v2/projects/{project_id}/knowledge/delete-directory",
-            )
+        response = await call_post(
+            self.http_client,
+            f"{self._base_path}/delete-directory",
+            json={"directory": directory},
+        )
        return DirectoryDeleteResult.model_validate(response.json())

    # --- Resolution ---

-    async def resolve_entity(self, identifier: str, *, strict: bool = False) -> str:
+    async def resolve_entity(self, identifier: str) -> str:
        """Resolve a string identifier to an entity external_id.

        Args:
            identifier: The identifier to resolve (permalink, title, or path)
-            strict: If True, require exact matching (no fuzzy fallback)

        Returns:
            The resolved entity external_id (UUID)
@@ -305,18 +236,10 @@ class KnowledgeClient:
        Raises:
            ToolError: If the identifier cannot be resolved
        """
-        with telemetry.scope(
-            "mcp.client.knowledge.resolve_entity",
-            client_name="knowledge",
-            operation="resolve_entity",
-        ):
-            response = await call_post(
-                self.http_client,
-                f"{self._base_path}/resolve",
-                json={"identifier": identifier, "strict": strict},
-                client_name="knowledge",
-                operation="resolve_entity",
-                path_template="/v2/projects/{project_id}/knowledge/resolve",
-            )
+        response = await call_post(
+            self.http_client,
+            f"{self._base_path}/resolve",
+            json={"identifier": identifier},
+        )
        data = response.json()
        return data["external_id"]
@@ -7,7 +7,6 @@ from typing import Optional

 from httpx import AsyncClient

-from basic_memory import telemetry
 from basic_memory.mcp.tools.utils import call_get
 from basic_memory.schemas.memory import GraphContext

@@ -72,21 +71,11 @@ class MemoryClient:
        if timeframe:
            params["timeframe"] = timeframe

-        with telemetry.scope(
-            "mcp.client.memory.build_context",
-            client_name="memory",
-            operation="build_context",
-            page=page,
-            page_size=page_size,
-        ):
-            response = await call_get(
-                self.http_client,
-                f"{self._base_path}/{path}",
-                params=params,
-                client_name="memory",
-                operation="build_context",
-                path_template="/v2/projects/{project_id}/memory/{path}",
-            )
+        response = await call_get(
+            self.http_client,
+            f"{self._base_path}/{path}",
+            params=params,
+        )
        return GraphContext.model_validate(response.json())

    async def recent(
@@ -123,19 +112,9 @@ class MemoryClient:
            # Join types as comma-separated string if provided
            params["type"] = ",".join(types) if isinstance(types, list) else types

-        with telemetry.scope(
-            "mcp.client.memory.recent_activity",
-            client_name="memory",
-            operation="recent_activity",
-            page=page,
-            page_size=page_size,
-        ):
-            response = await call_get(
-                self.http_client,
-                f"{self._base_path}/recent",
-                params=params,
-                client_name="memory",
-                operation="recent_activity",
-                path_template="/v2/projects/{project_id}/memory/recent",
-            )
+        response = await call_get(
+            self.http_client,
+            f"{self._base_path}/recent",
+            params=params,
+        )
        return GraphContext.model_validate(response.json())
@@ -7,16 +7,8 @@ from typing import Any

 from httpx import AsyncClient

-from basic_memory.mcp.tools.utils import (
-    call_delete,
-    call_get,
-    call_patch,
-    call_post,
-    call_put,
-)
-from basic_memory.schemas import ProjectInfoResponse, SyncReportResponse
+from basic_memory.mcp.tools.utils import call_get, call_post, call_delete
 from basic_memory.schemas.project_info import ProjectList, ProjectStatusResponse
-from basic_memory.schemas.v2 import ProjectResolveResponse


 class ProjectClient:
@@ -78,14 +70,11 @@ class ProjectClient:
        )
        return ProjectStatusResponse.model_validate(response.json())

-    async def delete_project(
-        self, project_external_id: str, delete_notes: bool = False
-    ) -> ProjectStatusResponse:
+    async def delete_project(self, project_external_id: str) -> ProjectStatusResponse:
        """Delete a project by its external ID.

        Args:
            project_external_id: Project external ID (UUID)
-            delete_notes: If True, also delete project files from disk

        Returns:
            ProjectStatusResponse with deletion result
@@ -93,137 +82,8 @@ class ProjectClient:
        Raises:
            ToolError: If the request fails
        """
-        url = f"/v2/projects/{project_external_id}"
-        if delete_notes:
-            url += "?delete_notes=true"
        response = await call_delete(
-            self.http_client,
-            url,
-        )
-        return ProjectStatusResponse.model_validate(response.json())
-
-    async def resolve_project(self, identifier: str) -> ProjectResolveResponse:
-        """Resolve a project name/permalink to its full project record.
-
-        Args:
-            identifier: Project name or permalink
-
-        Returns:
-            ProjectResolveResponse with project metadata
-
-        Raises:
-            ToolError: If the request fails
-        """
-        response = await call_post(
-            self.http_client,
-            "/v2/projects/resolve",
-            json={"identifier": identifier},
-        )
-        return ProjectResolveResponse.model_validate(response.json())
-
-    async def set_default(self, project_external_id: str) -> ProjectStatusResponse:
-        """Set a project as the default.
-
-        Args:
-            project_external_id: Project external ID (UUID)
-
-        Returns:
-            ProjectStatusResponse with result
-
-        Raises:
-            ToolError: If the request fails
-        """
-        response = await call_put(
-            self.http_client,
-            f"/v2/projects/{project_external_id}/default",
-        )
-        return ProjectStatusResponse.model_validate(response.json())
-
-    async def update_project(
-        self, project_external_id: str, data: dict[str, Any]
-    ) -> ProjectStatusResponse:
-        """Update a project's configuration (e.g. path).
-
-        Args:
-            project_external_id: Project external ID (UUID)
-            data: Fields to update
-
-        Returns:
-            ProjectStatusResponse with update result
-
-        Raises:
-            ToolError: If the request fails
-        """
-        response = await call_patch(
            self.http_client,
            f"/v2/projects/{project_external_id}",
-            json=data,
        )
        return ProjectStatusResponse.model_validate(response.json())
-
-    async def sync(
-        self,
-        project_external_id: str,
-        force_full: bool = False,
-        run_in_background: bool = True,
-    ) -> dict[str, Any]:
-        """Trigger a sync operation for a project.
-
-        Args:
-            project_external_id: Project external ID (UUID)
-            force_full: If True, force a full scan bypassing watermark optimization
-            run_in_background: If True, return immediately; if False, wait for completion
-
-        Returns:
-            Raw response dict — background mode returns {"message": ...},
-            foreground mode returns a SyncReportResponse-shaped dict.
-
-        Raises:
-            ToolError: If the request fails
-        """
-        url = f"/v2/projects/{project_external_id}/sync"
-        params = []
-        if force_full:
-            params.append("force_full=true")
-        if not run_in_background:
-            params.append("run_in_background=false")
-        if params:
-            url += "?" + "&".join(params)
-        response = await call_post(self.http_client, url)
-        return response.json()
-
-    async def get_status(self, project_external_id: str) -> SyncReportResponse:
-        """Get the sync status for a project.
-
-        Args:
-            project_external_id: Project external ID (UUID)
-
-        Returns:
-            SyncReportResponse describing pending changes
-
-        Raises:
-            ToolError: If the request fails
-        """
-        response = await call_post(
-            self.http_client,
-            f"/v2/projects/{project_external_id}/status",
-        )
-        return SyncReportResponse.model_validate(response.json())
-
-    async def get_info(self, project_external_id: str) -> ProjectInfoResponse:
-        """Get detailed project information and statistics.
-
-        Args:
-            project_external_id: Project external ID (UUID)
-
-        Returns:
-            ProjectInfoResponse with project details
-
-        Raises:
-            ToolError: If the request fails
-        """
-        response = await call_get(
-            self.http_client,
-            f"/v2/projects/{project_external_id}/info",
-        )
-        return ProjectInfoResponse.model_validate(response.json())
@@ -7,7 +7,6 @@ from typing import Optional

 from httpx import AsyncClient, Response

-from basic_memory import telemetry
 from basic_memory.mcp.tools.utils import call_get


@@ -65,18 +64,8 @@ class ResourceClient:
        if page_size is not None:
            params["page_size"] = page_size

-        with telemetry.scope(
-            "mcp.client.resource.read",
-            client_name="resource",
-            operation="read",
-            page=page,
-            page_size=page_size,
-        ):
-            return await call_get(
-                self.http_client,
-                f"{self._base_path}/{entity_id}",
-                params=params if params else None,
-                client_name="resource",
-                operation="read",
-                path_template="/v2/projects/{project_id}/resource/{entity_id}",
-            )
+        return await call_get(
+            self.http_client,
+            f"{self._base_path}/{entity_id}",
+            params=params if params else None,
+        )
@@ -24,7 +24,7 @@ class SchemaClient:
    Usage:
        async with get_client() as http_client:
            client = SchemaClient(http_client, project_id)
-            report = await client.validate(note_type="person")
+            report = await client.validate(entity_type="Person")
    """

    def __init__(self, http_client: AsyncClient, project_id: str):
@@ -41,13 +41,13 @@ class SchemaClient:
    async def validate(
        self,
        *,
-        note_type: str | None = None,
+        entity_type: str | None = None,
        identifier: str | None = None,
    ) -> ValidationReport:
        """Validate notes against their resolved schemas.

        Args:
-            note_type: Optional note type to batch-validate
+            entity_type: Optional entity type to batch-validate
            identifier: Optional specific note to validate

        Returns:
@@ -57,8 +57,8 @@ class SchemaClient:
            ToolError: If the request fails
        """
        params: dict[str, str] = {}
-        if note_type:
-            params["note_type"] = note_type
+        if entity_type:
+            params["entity_type"] = entity_type
        if identifier:
            params["identifier"] = identifier

@@ -71,14 +71,14 @@ class SchemaClient:

    async def infer(
        self,
-        note_type: str,
+        entity_type: str,
        *,
        threshold: float = 0.25,
    ) -> InferenceReport:
        """Infer a schema from existing notes of a given type.

        Args:
-            note_type: The note type to analyze
+            entity_type: The entity type to analyze
            threshold: Minimum frequency for optional fields (0-1)

        Returns:
@@ -90,15 +90,15 @@ class SchemaClient:
        response = await call_post(
            self.http_client,
            f"{self._base_path}/infer",
-            params={"note_type": note_type, "threshold": threshold},
+            params={"entity_type": entity_type, "threshold": threshold},
        )
        return InferenceReport.model_validate(response.json())

-    async def diff(self, note_type: str) -> DriftReport:
+    async def diff(self, entity_type: str) -> DriftReport:
        """Show drift between schema definition and actual usage.

        Args:
-            note_type: The note type to check for drift
+            entity_type: The entity type to check for drift

        Returns:
            DriftReport with detected differences
@@ -108,6 +108,6 @@ class SchemaClient:
        """
        response = await call_get(
            self.http_client,
-            f"{self._base_path}/diff/{note_type}",
+            f"{self._base_path}/diff/{entity_type}",
        )
        return DriftReport.model_validate(response.json())
@@ -7,7 +7,6 @@ from typing import Any

 from httpx import AsyncClient

-from basic_memory import telemetry
 from basic_memory.mcp.tools.utils import call_post
 from basic_memory.schemas.search import SearchResponse

@@ -57,20 +56,10 @@ class SearchClient:
        Raises:
            ToolError: If the request fails
        """
-        with telemetry.scope(
-            "mcp.client.search.search",
-            client_name="search",
-            operation="search",
-            page=page,
-            page_size=page_size,
-        ):
-            response = await call_post(
-                self.http_client,
-                f"{self._base_path}/",
-                json=query,
-                params={"page": page, "page_size": page_size},
-                client_name="search",
-                operation="search",
-                path_template="/v2/projects/{project_id}/search/",
-            )
+        response = await call_post(
+            self.http_client,
+            f"{self._base_path}/",
+            json=query,
+            params={"page": page, "page_size": page_size},
+        )
        return SearchResponse.model_validate(response.json())
@@ -39,6 +39,7 @@ class McpContainer:
        """
        config = ConfigManager().config
        mode = resolve_runtime_mode(
+            cloud_mode_enabled=config.cloud_mode_enabled,
            is_test_env=config.is_test_env,
        )
        return cls(config=config, mode=mode)
@@ -2,7 +2,7 @@

 from __future__ import annotations

-from typing import Sequence
+from typing import Iterable, Sequence

 from basic_memory.schemas.search import SearchResponse, SearchResult

@@ -84,9 +84,7 @@ def format_search_results_ascii(
    if query:
        lines.append(f"Query: {query}")

-    summary = (
-        f"Results: {len(results)} | Page: {result.current_page} | Page size: {result.page_size}"
-    )
+    summary = f"Results: {len(results)} | Page: {result.current_page} | Page size: {result.page_size}"
    lines.append(_apply_style(summary, ANSI_DIM, color))

    if not results:
@@ -9,7 +9,7 @@ compatibility with existing MCP tools.
 """

 from contextlib import asynccontextmanager
-from typing import AsyncIterator, Awaitable, Callable, Optional, List, Tuple
+from typing import AsyncIterator, Optional, List, Tuple

 from httpx import AsyncClient
 from httpx._types import (
@@ -19,124 +19,20 @@ from loguru import logger
 from fastmcp import Context
 from mcp.server.fastmcp.exceptions import ToolError

-from basic_memory import telemetry
-from basic_memory.config import BasicMemoryConfig, ConfigManager, ProjectMode
+from basic_memory.config import ConfigManager
 from basic_memory.project_resolver import ProjectResolver
-from basic_memory.schemas.cloud import WorkspaceInfo, WorkspaceListResponse
 from basic_memory.schemas.project_info import ProjectItem, ProjectList
 from basic_memory.schemas.v2 import ProjectResolveResponse
 from basic_memory.schemas.memory import memory_url_path
 from basic_memory.utils import generate_permalink, normalize_project_reference

-# --- Workspace provider injection ---
-# Mirrors the set_client_factory() pattern in async_client.py.
-# The cloud MCP server sets a provider that queries its own database directly,
-# avoiding the control-plane HTTP round-trip that requires local credentials.
-_workspace_provider: Optional[Callable[[], Awaitable[list[WorkspaceInfo]]]] = None
-
-
-def set_workspace_provider(provider: Callable[[], Awaitable[list[WorkspaceInfo]]]) -> None:
-    """Override workspace discovery (for cloud app, testing, etc)."""
-    global _workspace_provider
-    _workspace_provider = provider
-
-
-async def _resolve_default_project_from_api() -> Optional[str]:
-    """Query the projects API for the default project.
-
-    Used as a fallback when ConfigManager has no local config (cloud mode).
-    """
-    from basic_memory.mcp.async_client import get_client
-
-    try:
-        async with get_client() as client:
-            response = await client.get("/v2/projects/")
-            if response.status_code == 200:
-                project_list = ProjectList.model_validate(response.json())
-                if project_list.default_project:
-                    return project_list.default_project
-                # Fallback: find project with is_default=True
-                for p in project_list.projects:
-                    if p.is_default:
-                        return p.name
-    except Exception:
-        pass
-    return None
-
-
-async def _get_cached_active_project(context: Optional[Context]) -> Optional[ProjectItem]:
-    """Return the cached active project from context when available."""
-    if not context:
-        return None
-
-    cached_raw = await context.get_state("active_project")
-    if isinstance(cached_raw, dict):
-        return ProjectItem.model_validate(cached_raw)
-    return None
-
-
-async def _set_cached_active_project(
-    context: Optional[Context],
-    active_project: ProjectItem,
-) -> None:
-    """Persist the active project and known default-project metadata in context."""
-    if not context:
-        return
-
-    await context.set_state("active_project", active_project.model_dump())
-    if active_project.is_default:
-        await context.set_state("default_project_name", active_project.name)
-
-
-async def _get_cached_default_project(context: Optional[Context]) -> Optional[str]:
-    """Return the cached default project name from context when available."""
-    if not context:
-        return None
-
-    cached_default = await context.get_state("default_project_name")
-    if isinstance(cached_default, str):
-        return cached_default
-    return None
-
-
-def _canonicalize_project_name(
-    project_name: Optional[str],
-    config: BasicMemoryConfig,
-) -> Optional[str]:
-    """Return the configured project name when the identifier matches by permalink.
-
-    Project routing happens before API validation, so we normalize explicit inputs
-    here to keep local/cloud routing aligned with the database's case-insensitive
-    project resolver.
-    """
-    if project_name is None:
-        return None
-
-    requested_permalink = generate_permalink(project_name)
-    for configured_name in config.projects:
-        if generate_permalink(configured_name) == requested_permalink:
-            return configured_name
-
-    return project_name
-
-
-def _project_matches_identifier(project_item: ProjectItem, identifier: Optional[str]) -> bool:
-    """Return True when the identifier refers to the cached project."""
-    if identifier is None:
-        return True
-
-    normalized_identifier = generate_permalink(identifier)
-    return normalized_identifier in {
-        generate_permalink(project_item.name),
-        project_item.permalink,
-    }
-

 async def resolve_project_parameter(
    project: Optional[str] = None,
    allow_discovery: bool = False,
+    cloud_mode: Optional[bool] = None,
+    default_project_mode: Optional[bool] = None,
    default_project: Optional[str] = None,
-    context: Optional[Context] = None,
 ) -> Optional[str]:
    """Resolve project parameter using unified linear priority chain.

@@ -144,61 +40,41 @@ async def resolve_project_parameter(
    New code should consider using ProjectResolver directly for more detailed
    resolution information.

-    Resolution order:
+    Resolution order (same for local and cloud modes):
    1. ENV_CONSTRAINT: BASIC_MEMORY_MCP_PROJECT env var (highest priority)
    2. EXPLICIT: project parameter passed directly
-    3. DEFAULT: default_project from config (if set)
-    4. Fallback: discovery (if allowed) → NONE
+    3. DEFAULT: default project when default_project_mode=true
+    4. Fallback: cloud → CLOUD_DISCOVERY or ValueError; local → NONE

    Args:
        project: Optional explicit project parameter
-        allow_discovery: If True, allows returning None for discovery mode
+        allow_discovery: If True, allows returning None in cloud mode for discovery mode
            (used by tools like recent_activity that can operate across all projects)
+        cloud_mode: Optional explicit cloud mode. If not provided, reads from ConfigManager.
+        default_project_mode: Optional explicit default project mode. If not provided, reads from ConfigManager.
        default_project: Optional explicit default project. If not provided, reads from ConfigManager.

    Returns:
        Resolved project name or None if no resolution possible
    """
-    with telemetry.span(
-        "routing.resolve_project",
-        requested_project=project,
-        allow_discovery=allow_discovery,
-    ):
+    # Load config for any values not explicitly provided
+    if cloud_mode is None or default_project_mode is None or default_project is None:
        config = ConfigManager().config
-
-        # Trigger: project already resolved earlier in the same MCP request
-        # Why: the active project is request-constant, so re-discovering the
-        #   default project via /v2/projects/ just repeats work
-        # Outcome: reuse the cached project name as the explicit candidate
-        if project is None:
-            cached_project = await _get_cached_active_project(context)
-            if cached_project is not None:
-                project = cached_project.name
-
-        # Trigger: there is no explicit project after env/context normalization
-        # Why: default-project discovery is only needed as a fallback; doing it
-        #   for explicit requests adds an avoidable /v2/projects/ round-trip
-        # Outcome: skip default lookup when the active project is already known
-        if default_project is None and project is None:
-            # Load config for any values not explicitly provided.
-            # ConfigManager reads from the local config file, which doesn't exist in cloud mode.
-            # When it returns None, fall back to querying the projects API for the is_default flag.
+        if cloud_mode is None:
+            cloud_mode = config.cloud_mode
+        if default_project_mode is None:
+            default_project_mode = config.default_project_mode
+        if default_project is None:
            default_project = config.default_project

-            if default_project is None:
-                default_project = await _get_cached_default_project(context)
-
-            if default_project is None:
-                default_project = await _resolve_default_project_from_api()
-                if default_project and context:
-                    await context.set_state("default_project_name", default_project)
-
-        # Create resolver with configuration and resolve
-        resolver = ProjectResolver.from_env(
-            default_project=default_project,
-        )
-        result = resolver.resolve(project=project, allow_discovery=allow_discovery)
-        return _canonicalize_project_name(result.project, config)
+    # Create resolver with configuration and resolve
+    resolver = ProjectResolver.from_env(
+        cloud_mode=cloud_mode,
+        default_project_mode=default_project_mode,
+        default_project=default_project,
+    )
+    result = resolver.resolve(project=project, allow_discovery=allow_discovery)
+    return result.project


 async def get_project_names(client: AsyncClient, headers: HeaderTypes | None = None) -> List[str]:
@@ -210,123 +86,6 @@ async def get_project_names(client: AsyncClient, headers: HeaderTypes | None = N
    return [project.name for project in project_list.projects]


-def _workspace_matches_identifier(workspace: WorkspaceInfo, identifier: str) -> bool:
-    """Return True when identifier matches workspace tenant_id or name."""
-    if workspace.tenant_id == identifier:
-        return True
-    return workspace.name.lower() == identifier.lower()
-
-
-def _workspace_choices(workspaces: list[WorkspaceInfo]) -> str:
-    """Format deterministic workspace choices for prompt-style errors."""
-    return "\n".join(
-        [
-            (
-                f"- {item.name} "
-                f"(type={item.workspace_type}, role={item.role}, tenant_id={item.tenant_id})"
-            )
-            for item in workspaces
-        ]
-    )
-
-
-async def get_available_workspaces(context: Optional[Context] = None) -> list[WorkspaceInfo]:
-    """Load available cloud workspaces for the current authenticated user."""
-    if context:
-        cached_raw = await context.get_state("available_workspaces")
-        if isinstance(cached_raw, list):
-            return [WorkspaceInfo.model_validate(item) for item in cached_raw]
-
-    # Trigger: workspace provider was injected (e.g., by cloud MCP server)
-    # Why: the cloud server IS the cloud — it can query its own database
-    #   directly instead of making an HTTP round-trip that requires local credentials
-    # Outcome: use provider result, cache in context, skip control-plane client
-    if _workspace_provider is not None:
-        workspaces = await _workspace_provider()
-        if context:
-            await context.set_state(
-                "available_workspaces",
-                [ws.model_dump() for ws in workspaces],
-            )
-        return workspaces
-
-    from basic_memory.mcp.async_client import get_cloud_control_plane_client
-    from basic_memory.mcp.tools.utils import call_get
-
-    async with get_cloud_control_plane_client() as client:
-        response = await call_get(client, "/workspaces/")
-        workspace_list = WorkspaceListResponse.model_validate(response.json())
-
-    if context:
-        await context.set_state(
-            "available_workspaces",
-            [ws.model_dump() for ws in workspace_list.workspaces],
-        )
-
-    return workspace_list.workspaces
-
-
-async def resolve_workspace_parameter(
-    workspace: Optional[str] = None,
-    context: Optional[Context] = None,
-) -> WorkspaceInfo:
-    """Resolve workspace using explicit input, session cache, and cloud discovery."""
-    with telemetry.scope(
-        "routing.resolve_workspace",
-        workspace_requested=workspace is not None,
-        has_context=context is not None,
-    ):
-        if context:
-            cached_raw = await context.get_state("active_workspace")
-            if isinstance(cached_raw, dict):
-                cached_workspace = WorkspaceInfo.model_validate(cached_raw)
-                if workspace is None or _workspace_matches_identifier(cached_workspace, workspace):
-                    logger.debug(
-                        f"Using cached workspace from context: {cached_workspace.tenant_id}"
-                    )
-                    return cached_workspace
-
-        workspaces = await get_available_workspaces(context=context)
-        if not workspaces:
-            raise ValueError(
-                "No accessible workspaces found for this account. "
-                "Ensure you have an active subscription and tenant access."
-            )
-
-        selected_workspace: WorkspaceInfo | None = None
-
-        if workspace:
-            matches = [
-                item for item in workspaces if _workspace_matches_identifier(item, workspace)
-            ]
-            if not matches:
-                raise ValueError(
-                    f"Workspace '{workspace}' was not found.\n"
-                    f"Available workspaces:\n{_workspace_choices(workspaces)}"
-                )
-            if len(matches) > 1:
-                raise ValueError(
-                    f"Workspace name '{workspace}' matches multiple workspaces. "
-                    "Use tenant_id instead.\n"
-                    f"Available workspaces:\n{_workspace_choices(workspaces)}"
-                )
-            selected_workspace = matches[0]
-        elif len(workspaces) == 1:
-            selected_workspace = workspaces[0]
-        else:
-            raise ValueError(
-                "Multiple workspaces are available. Ask the user which workspace to use, then retry "
-                "with the 'workspace' argument set to the tenant_id or unique name.\n"
-                f"Available workspaces:\n{_workspace_choices(workspaces)}"
-            )
-
-        if context:
-            await context.set_state("active_workspace", selected_workspace.model_dump())
-            logger.debug(f"Cached workspace in context: {selected_workspace.tenant_id}")
-
-        return selected_workspace
-
-
 async def get_active_project(
    client: AsyncClient,
    project: Optional[str] = None,
@@ -347,58 +106,51 @@ async def get_active_project(
        ValueError: If no project can be resolved
        HTTPError: If project doesn't exist or is inaccessible
    """
-    with telemetry.scope(
-        "routing.validate_project",
-        requested_project=project,
-        has_context=context is not None,
-    ):
-        # Deferred import to avoid circular dependency with tools
-        from basic_memory.mcp.tools.utils import call_post
+    # Deferred import to avoid circular dependency with tools
+    from basic_memory.mcp.tools.utils import call_post

-        cached_project = await _get_cached_active_project(context)
-        if cached_project and _project_matches_identifier(cached_project, project):
-            logger.debug(f"Using cached project from context: {cached_project.name}")
-            return cached_project
-
-        resolved_project = await resolve_project_parameter(project, context=context)
-        if not resolved_project:
-            project_names = await get_project_names(client, headers)
-            raise ValueError(
-                "No project specified. "
-                "Either set 'default_project' in config, or use 'project' argument.\n"
-                f"Available projects: {project_names}"
-            )
-
-        project = resolved_project
-
-        if cached_project and _project_matches_identifier(cached_project, project):
-            logger.debug(f"Using cached project from context: {cached_project.name}")
-            return cached_project
-
-        # Validate project exists by calling API
-        logger.debug(f"Validating project: {project}")
-        response = await call_post(
-            client,
-            "/v2/projects/resolve",
-            json={"identifier": project},
-            headers=headers,
-        )
-        resolved = ProjectResolveResponse.model_validate(response.json())
-        active_project = ProjectItem(
-            id=resolved.project_id,
-            external_id=resolved.external_id,
-            name=resolved.name,
-            path=resolved.path,
-            is_default=resolved.is_default,
+    resolved_project = await resolve_project_parameter(project)
+    if not resolved_project:
+        project_names = await get_project_names(client, headers)
+        raise ValueError(
+            "No project specified. "
+            "Either set 'default_project_mode=true' in config, or use 'project' argument.\n"
+            f"Available projects: {project_names}"
        )

-        # Cache in context if available
-        await _set_cached_active_project(context, active_project)
-        if context:
-            logger.debug(f"Cached project in context: {project}")
+    project = resolved_project

-        logger.debug(f"Validated project: {active_project.name}")
-        return active_project
+    # Check if already cached in context
+    if context:
+        cached_project = context.get_state("active_project")
+        if cached_project and cached_project.name == project:
+            logger.debug(f"Using cached project from context: {project}")
+            return cached_project
+
+    # Validate project exists by calling API
+    logger.debug(f"Validating project: {project}")
+    response = await call_post(
+        client,
+        "/v2/projects/resolve",
+        json={"identifier": project},
+        headers=headers,
+    )
+    resolved = ProjectResolveResponse.model_validate(response.json())
+    active_project = ProjectItem(
+        id=resolved.project_id,
+        external_id=resolved.external_id,
+        name=resolved.name,
+        path=resolved.path,
+        is_default=resolved.is_default,
+    )
+
+    # Cache in context if available
+    if context:
+        context.set_state("active_project", active_project)
+        logger.debug(f"Cached project in context: {project}")
+
+    logger.debug(f"Validated project: {active_project.name}")
+    return active_project


 def _split_project_prefix(path: str) -> tuple[Optional[str], str]:
@@ -429,91 +181,68 @@ async def resolve_project_and_path(
        Tuple of (active_project, normalized_path, is_memory_url)
    """
    is_memory_url = identifier.strip().startswith("memory://")
-    config = ConfigManager().config
-    include_project = config.permalinks_include_project if is_memory_url else None
-    with telemetry.scope(
-        "routing.resolve_memory_url",
-        is_memory_url=is_memory_url,
-        requested_project=project,
-        include_project_prefix=include_project,
-    ):
-        if not is_memory_url:
-            active_project = await get_active_project(client, project, context, headers)
-            return active_project, identifier, False
-
-        normalized_path = normalize_project_reference(memory_url_path(identifier))
-        project_prefix, remainder = _split_project_prefix(normalized_path)
-        include_project = config.permalinks_include_project
-        # Trigger: memory URL begins with a potential project segment
-        # Why: allow project-scoped memory URLs without requiring a separate project parameter
-        # Outcome: attempt to resolve the prefix as a project and route to it
-        if project_prefix:
-            cached_project = await _get_cached_active_project(context)
-            if cached_project and _project_matches_identifier(cached_project, project_prefix):
-                resolved_project = await resolve_project_parameter(project_prefix, context=context)
-                if resolved_project and generate_permalink(resolved_project) != generate_permalink(
-                    project_prefix
-                ):
-                    raise ValueError(
-                        f"Project is constrained to '{resolved_project}', cannot use '{project_prefix}'."
-                    )
-
-                resolved_path = (
-                    f"{cached_project.permalink}/{remainder}" if include_project else remainder
-                )
-                return cached_project, resolved_path, True
-
-            try:
-                from basic_memory.mcp.tools.utils import call_post
-
-                response = await call_post(
-                    client,
-                    "/v2/projects/resolve",
-                    json={"identifier": project_prefix},
-                    headers=headers,
-                )
-                resolved = ProjectResolveResponse.model_validate(response.json())
-            except ToolError as exc:
-                if "project not found" not in str(exc).lower():
-                    raise
-            else:
-                resolved_project = await resolve_project_parameter(project_prefix, context=context)
-                if resolved_project and generate_permalink(resolved_project) != generate_permalink(
-                    project_prefix
-                ):
-                    raise ValueError(
-                        f"Project is constrained to '{resolved_project}', cannot use '{project_prefix}'."
-                    )
-
-                active_project = ProjectItem(
-                    id=resolved.project_id,
-                    external_id=resolved.external_id,
-                    name=resolved.name,
-                    path=resolved.path,
-                    is_default=resolved.is_default,
-                )
-                await _set_cached_active_project(context, active_project)
-
-                resolved_path = (
-                    f"{resolved.permalink}/{remainder}" if include_project else remainder
-                )
-                return active_project, resolved_path, True
-
-        # Trigger: no resolvable project prefix in the memory URL
-        # Why: preserve existing memory URL behavior within the active project
-        # Outcome: use the active project and normalize the path for lookup
+    if not is_memory_url:
        active_project = await get_active_project(client, project, context, headers)
-        resolved_path = normalized_path
-        if include_project:
-            # Trigger: project-prefixed permalinks are enabled and the path lacks a prefix
-            # Why: ensure memory URL lookups align with canonical permalinks
-            # Outcome: prefix the path with the active project's permalink
-            project_prefix = active_project.permalink
-            if resolved_path != project_prefix and not resolved_path.startswith(
-                f"{project_prefix}/"
+        return active_project, identifier, False
+
+    normalized_path = normalize_project_reference(memory_url_path(identifier))
+    project_prefix, remainder = _split_project_prefix(normalized_path)
+    include_project = ConfigManager().config.permalinks_include_project
+
+    # Trigger: memory URL begins with a potential project segment
+    # Why: allow project-scoped memory URLs without requiring a separate project parameter
+    # Outcome: attempt to resolve the prefix as a project and route to it
+    if project_prefix:
+        try:
+            from basic_memory.mcp.tools.utils import call_post
+
+            response = await call_post(
+                client,
+                "/v2/projects/resolve",
+                json={"identifier": project_prefix},
+                headers=headers,
+            )
+            resolved = ProjectResolveResponse.model_validate(response.json())
+        except ToolError as exc:
+            if "project not found" not in str(exc).lower():
+                raise
+        else:
+            resolved_project = await resolve_project_parameter(project_prefix)
+            if resolved_project and generate_permalink(resolved_project) != generate_permalink(
+                project_prefix
            ):
-                resolved_path = f"{project_prefix}/{resolved_path}"
-        return active_project, resolved_path, True
+                raise ValueError(
+                    f"Project is constrained to '{resolved_project}', cannot use '{project_prefix}'."
+                )
+
+            active_project = ProjectItem(
+                id=resolved.project_id,
+                external_id=resolved.external_id,
+                name=resolved.name,
+                path=resolved.path,
+                is_default=resolved.is_default,
+            )
+            if context:
+                context.set_state("active_project", active_project)
+
+            resolved_path = (
+                f"{resolved.permalink}/{remainder}" if include_project else remainder
+            )
+            return active_project, resolved_path, True
+
+    # Trigger: no resolvable project prefix in the memory URL
+    # Why: preserve existing memory URL behavior within the active project
+    # Outcome: use the active project and normalize the path for lookup
+    active_project = await get_active_project(client, project, context, headers)
+    resolved_path = normalized_path
+    if include_project:
+        # Trigger: project-prefixed permalinks are enabled and the path lacks a prefix
+        # Why: ensure memory URL lookups align with canonical permalinks
+        # Outcome: prefix the path with the active project's permalink
+        project_prefix = active_project.permalink
+        if resolved_path != project_prefix and not resolved_path.startswith(f"{project_prefix}/"):
+            resolved_path = f"{project_prefix}/{resolved_path}"
+    return active_project, resolved_path, True


 def add_project_metadata(result: str, project_name: str) -> str:
@@ -532,39 +261,9 @@ def add_project_metadata(result: str, project_name: str) -> str:
    return f"{result}\n\n[Session: Using project '{project_name}']"


-def detect_project_from_url_prefix(identifier: str, config: BasicMemoryConfig) -> Optional[str]:
-    """Check if a memory URL's first path segment matches a known project in config.
-
-    This enables automatic project routing from memory URLs like
-    ``memory://specs/in-progress`` without requiring the caller to pass
-    an explicit ``project`` parameter.
-
-    Uses local config only — no network calls.
-
-    Args:
-        identifier: Raw identifier string (may or may not start with ``memory://``).
-        config: Current BasicMemoryConfig with project entries.
-
-    Returns:
-        Matching project name from config, or None if no match.
-    """
-    path = memory_url_path(identifier) if identifier.strip().startswith("memory://") else identifier
-    normalized = normalize_project_reference(path)
-    prefix, _ = _split_project_prefix(normalized)
-    if prefix is None:
-        return None
-
-    prefix_permalink = generate_permalink(prefix)
-    for project_name in config.projects:
-        if generate_permalink(project_name) == prefix_permalink:
-            return project_name
-    return None
-
-
@asynccontextmanager
 async def get_project_client(
    project: Optional[str] = None,
-    workspace: Optional[str] = None,
    context: Optional[Context] = None,
 ) -> AsyncIterator[Tuple[AsyncClient, ProjectItem]]:
    """Resolve project, create correctly-routed client, and validate project.
@@ -574,23 +273,8 @@ async def get_project_client(
    the project. This helper resolves the project from config first (no
    network), creates the correctly-routed client, then validates via API.

-    Routing decision order:
-    1. Explicit --local/--cloud flags → skip workspace, use flag routing
-    2. Cloud routing (explicit --cloud OR project mode CLOUD) →
-       resolve workspace via priority chain, create cloud client
-    3. Otherwise → local ASGI client
-
-    Workspace resolution priority (when cloud routing):
-    1. Explicit ``workspace`` parameter
-    2. Per-project ``workspace_id`` from config
-    3. Global ``default_workspace`` from config
-    4. MCP session cache (context)
-    5. Auto-select if single workspace
-    6. Error listing choices
-
    Args:
        project: Optional explicit project parameter
-        workspace: Optional cloud workspace selector (tenant_id or unique name)
        context: Optional FastMCP context for caching

    Yields:
@@ -600,134 +284,23 @@ async def get_project_client(
        ValueError: If no project can be resolved
        RuntimeError: If cloud project but no API key configured
    """
-    # Deferred imports to avoid circular dependency
-    from basic_memory.mcp.async_client import (
-        _explicit_routing,
-        _force_local_mode,
-        get_client,
-        is_factory_mode,
-    )
+    # Deferred import to avoid circular dependency
+    from basic_memory.mcp.async_client import get_client

    # Step 1: Resolve project name from config (no network call)
-    resolved_project = await resolve_project_parameter(project, context=context)
+    resolved_project = await resolve_project_parameter(project)
    if not resolved_project:
        # Fall back to local client to discover projects and raise helpful error
        async with get_client() as client:
            project_names = await get_project_names(client)
            raise ValueError(
                "No project specified. "
-                "Either set 'default_project' in config, or use 'project' argument.\n"
+                "Either set 'default_project_mode=true' in config, or use 'project' argument.\n"
                f"Available projects: {project_names}"
            )

-    # Step 1b: Factory injection (in-process cloud server)
-    # Trigger: set_client_factory() was called (e.g., by cloud MCP server)
-    # Why: the transport layer already resolved workspace and tenant context;
-    #   attempting cloud workspace resolution here would call the production
-    #   control-plane API with no valid credentials and fail with 401
-    # Outcome: use the factory client directly, skip workspace resolution
-    if is_factory_mode():
-        route_mode = "factory"
-        with telemetry.scope(
-            "routing.client_session",
-            project_name=resolved_project,
-            route_mode=route_mode,
-            workspace_id=workspace,
-        ):
-            logger.debug("Using injected client factory for project routing")
-            async with get_client() as client:
-                active_project = await get_active_project(client, resolved_project, context)
-                yield client, active_project
-        return
-
-    # Step 2: Check explicit routing BEFORE workspace resolution
-    # Trigger: CLI passed --local or --cloud
-    # Why: explicit flags must be deterministic — skip workspace entirely for --local
-    # Outcome: route strictly based on explicit flag, no workspace network calls
-    if _explicit_routing() and _force_local_mode():
-        route_mode = "explicit_local"
-        with telemetry.scope(
-            "routing.client_session",
-            project_name=resolved_project,
-            route_mode=route_mode,
-        ):
-            logger.debug("Explicit local routing selected for project client")
-            async with get_client(project_name=resolved_project) as client:
-                active_project = await get_active_project(client, resolved_project, context)
-                yield client, active_project
-        return
-
-    # Step 3: Determine if cloud routing is needed
-    config = ConfigManager().config
-    project_entry = config.projects.get(resolved_project)
-    project_mode = config.get_project_mode(resolved_project)
-
-    # Trigger: workspace provided for a local project (without explicit --cloud)
-    # Why: workspace selection is a cloud routing concern only
-    # Outcome: fail fast with a deterministic guidance message
-    if project_mode != ProjectMode.CLOUD and workspace is not None and not _explicit_routing():
-        raise ValueError(
-            f"Workspace '{workspace}' cannot be used with local project '{resolved_project}'. "
-            "Workspace selection is only supported for cloud-mode projects."
-        )
-
-    if project_mode == ProjectMode.CLOUD or (_explicit_routing() and not _force_local_mode()):
-        # --- Cloud routing: resolve workspace with priority chain ---
-        effective_workspace = workspace
-
-        # Priority 2: per-project workspace_id from config
-        if effective_workspace is None and project_entry and project_entry.workspace_id:
-            effective_workspace = project_entry.workspace_id
-
-        # Priority 3: global default_workspace from config
-        if effective_workspace is None and config.default_workspace:
-            effective_workspace = config.default_workspace
-
-        route_mode = "cloud_proxy"
-
-        # Priorities 4-6: if still unresolved, fall back to resolve_workspace_parameter
-        # which checks context cache, auto-selects single workspace, or errors
-        if effective_workspace is not None:
-            # Config-resolved workspace — pass directly to get_client, skip network lookup
-            with telemetry.scope(
-                "routing.client_session",
-                project_name=resolved_project,
-                route_mode=route_mode,
-                workspace_id=effective_workspace,
-            ):
-                logger.debug("Using configured workspace for cloud project routing")
-                async with get_client(
-                    project_name=resolved_project,
-                    workspace=effective_workspace,
-                ) as client:
-                    active_project = await get_active_project(client, resolved_project, context)
-                    yield client, active_project
-        else:
-            # No config-based workspace — use resolve_workspace_parameter for discovery
-            active_ws = await resolve_workspace_parameter(workspace=None, context=context)
-            with telemetry.scope(
-                "routing.client_session",
-                project_name=resolved_project,
-                route_mode=route_mode,
-                workspace_id=active_ws.tenant_id,
-            ):
-                logger.debug("Resolved workspace dynamically for cloud project routing")
-                async with get_client(
-                    project_name=resolved_project,
-                    workspace=active_ws.tenant_id,
-                ) as client:
-                    active_project = await get_active_project(client, resolved_project, context)
-                    yield client, active_project
-        return
-
-    # Step 4: Local routing (default)
-    route_mode = "local_asgi"
-    with telemetry.scope(
-        "routing.client_session",
-        project_name=resolved_project,
-        route_mode=route_mode,
-    ):
-        logger.debug("Using default local ASGI routing for project client")
-        async with get_client(project_name=resolved_project) as client:
-            active_project = await get_active_project(client, resolved_project, context)
-            yield client, active_project
+    # Step 2: Create client routed based on project's mode
+    async with get_client(project_name=resolved_project) as client:
+        # Step 3: Validate project exists via API
+        active_project = await get_active_project(client, resolved_project, context)
+        yield client, active_project
@@ -14,8 +14,8 @@ def ai_assistant_guide() -> str:
    """Return a concise guide on Basic Memory tools and how to use them.

    Dynamically adapts instructions based on configuration:
-    - Default project set: Simplified instructions with automatic project fallback
-    - No default project: Project discovery and selection guidance
+    - Default project mode: Simplified instructions with automatic project
+    - Regular mode: Project discovery and selection guidance
    - CLI constraint mode: Single project constraint information

    Returns:
@@ -30,32 +30,34 @@ def ai_assistant_guide() -> str:
    # Check configuration for mode-specific instructions
    config = ConfigManager().config

-    # Add mode-specific header based on whether a default project is configured
-    if config.default_project:
+    # Add mode-specific header
+    mode_info = ""
+    if config.default_project_mode:
        mode_info = f"""
-# Default Project Active
+# 🎯 Default Project Mode Active

-**Current Configuration**: Operations automatically fall back to project '{config.default_project}'
+**Current Configuration**: All operations automatically use project '{config.default_project}'

 **Simplified Usage**: You don't need to specify the project parameter in tool calls.
- `write_note(title="Note", content="...", folder="docs")` - uses '{config.default_project}'
+- `write_note(title="Note", content="...", folder="docs")` ✅
+- Project parameter is optional and will default to '{config.default_project}'
 - To use a different project, explicitly specify: `project="other-project"`

---
+────────────────────────────────────────

 """
    else:  # pragma: no cover
        mode_info = """
-# Multi-Project Mode
+# 🔧 Multi-Project Mode Active

-**Current Configuration**: No default project set — project parameter required for all operations
+**Current Configuration**: Project parameter required for all operations

 **Project Discovery Required**: Use these tools to select a project:
 - `list_memory_projects()` - See all available projects
 - `recent_activity()` - Get project activity and recommendations
 - Remember the user's project choice throughout the conversation

---
+────────────────────────────────────────

 """

@@ -63,7 +65,6 @@ def ai_assistant_guide() -> str:
    enhanced_content = mode_info + content

    logger.info(
-        f"Loaded AI assistant guide ({len(enhanced_content)} chars) "
-        f"with default_project: {config.default_project or 'none'}"
+        f"Loaded AI assistant guide ({len(enhanced_content)} chars) with mode: {'default_project' if config.default_project_mode else 'multi_project'}"
    )
    return enhanced_content
@@ -4,15 +4,17 @@ These prompts help users continue conversations and work across sessions,
 providing context from previous interactions to maintain continuity.
 """

-from textwrap import dedent
 from typing import Annotated, Optional

 from loguru import logger
 from pydantic import Field

+from basic_memory.config import ConfigManager
+from basic_memory.mcp.async_client import get_client
+from basic_memory.mcp.project_context import get_active_project
 from basic_memory.mcp.server import mcp
-from basic_memory.mcp.tools.recent_activity import recent_activity
-from basic_memory.mcp.tools.search import search_notes
+from basic_memory.mcp.tools.utils import call_post
+from basic_memory.schemas.prompt import ContinueConversationRequest


@mcp.prompt(
@@ -40,92 +42,22 @@ async def continue_conversation(
    """
    logger.info(f"Continuing session, topic: {topic}, timeframe: {timeframe}")

-    if topic:
-        # Use json format to get structured data for result counting and branching
-        result = await search_notes(query=topic, after_date=timeframe, output_format="json")
+    async with get_client() as client:
+        config = ConfigManager().config
+        active_project = await get_active_project(client, project=config.default_project)

-        if isinstance(result, dict):
-            results = result.get("results", [])
-            context_text = _format_continuation_results(results, topic)
-            result_count = len(results)
-        else:
-            # Error string
-            context_text = str(result)
-            result_count = 0
-    else:
-        # No topic — show recent activity
-        effective_timeframe = timeframe or "7d"
-        activity_text = await recent_activity(timeframe=effective_timeframe)
-        context_text = str(activity_text)
-        result_count = -1  # Signals we used recent_activity
+        # Create request model
+        request = ContinueConversationRequest(  # pyright: ignore [reportCallIssue]
+            topic=topic, timeframe=timeframe
+        )

-    target = f"'{topic}'" if topic else "recent activity"
+        # Call the prompt API endpoint
+        response = await call_post(
+            client,
+            f"/v2/projects/{active_project.external_id}/prompt/continue-conversation",
+            json=request.model_dump(exclude_none=True),
+        )

-    prompt = dedent(f"""
-        # Continuing conversation on: {target}
-
-        This is a memory retrieval session.
-
-        Please use the available basic-memory tools to gather relevant context before responding.
-        Start by executing one of the suggested commands below to retrieve content.
-
-        {context_text}
-
-        ---
-
-        ## Next Steps
-    """)
-
-    if topic and result_count > 0:
-        prompt += dedent(f"""
-            Found {result_count} results related to '{topic}'.
-
-            1. **Read full content** - Use `read_note("permalink")` to dive into specific notes
-            2. **Build context** - Use `build_context("memory://path")` to see relationships
-            3. **Search deeper** - Use `search_notes("{topic}")` with different filters
-
-            > **Knowledge Capture:** As you continue this conversation, actively look for
-            > opportunities to record new information, decisions, or insights using `write_note()`.
-        """)
-    elif topic:
-        prompt += dedent(f"""
-            No previous context found for '{topic}'.
-
-            This is an opportunity to start documenting this topic:
-
-            1. **Create a new note** - Use `write_note(title="{topic}", content="...")` to start
-            2. **Search with variations** - Try `search_notes("{topic}")` with different terms
-            3. **Check recent activity** - Use `recent_activity(timeframe="7d")` to see what's new
-        """)
-    else:
-        prompt += dedent("""
-            1. **Explore specific items** - Use `read_note("permalink")` to dive deeper
-            2. **Search for topics** - Use `search_notes("topic")` to find specific content
-            3. **Build context** - Use `build_context("memory://path")` to see relationships
-        """)
-
-    return prompt
-
-
-def _format_continuation_results(results: list[dict], topic: str) -> str:
-    """Format search result dicts for conversation continuation context."""
-    if not results:
-        return f"No previous context found for '{topic}'."
-
-    lines = [f"## Previous Context for '{topic}'\n"]
-
-    for item in results:
-        title = item.get("title", "Untitled")
-        permalink = item.get("permalink", "")
-
-        lines.append(f"### {title}")
-        if permalink:
-            lines.append(f"permalink: {permalink}")
-            lines.append(f'Read with: `read_note("{permalink}")`')
-        content = item.get("content")
-        if content:
-            content = content[:300] + "..." if len(content) > 300 else content
-            lines.append(f"\n{content}")
-        lines.append("")
-
-    return "\n".join(lines)
+        # Extract the rendered prompt from the response
+        result = response.json()
+        return result["prompt"]
@@ -46,7 +46,7 @@ async def recent_activity_prompt(
    logger.info(f"Getting recent activity, timeframe: {timeframe}, project: {project}")

    # Call the tool function - it returns a well-formatted string
-    activity_summary = await recent_activity(project=project, timeframe=timeframe)
+    activity_summary = await recent_activity.fn(project=project, timeframe=timeframe)

    # Build the prompt response
    # The tool already returns formatted markdown, so we use it directly
@@ -3,14 +3,17 @@
 These prompts help users search and explore their knowledge base.
 """

-from textwrap import dedent
 from typing import Annotated, Optional

 from loguru import logger
 from pydantic import Field

+from basic_memory.config import ConfigManager
+from basic_memory.mcp.async_client import get_client
+from basic_memory.mcp.project_context import get_active_project
 from basic_memory.mcp.server import mcp
-from basic_memory.mcp.tools.search import search_notes
+from basic_memory.mcp.tools.utils import call_post
+from basic_memory.schemas.prompt import SearchPromptRequest


@mcp.prompt(
@@ -38,60 +41,20 @@ async def search_prompt(
    """
    logger.info(f"Searching knowledge base, query: {query}, timeframe: {timeframe}")

-    # Use json format to get structured data for result counting and formatting
-    result = await search_notes(query=query, after_date=timeframe, output_format="json")
+    async with get_client() as client:
+        config = ConfigManager().config
+        active_project = await get_active_project(client, project=config.default_project)

-    # Format the tool output into a prompt with guidance
-    if isinstance(result, dict):
-        results = result.get("results", [])
-        result_count = len(results)
-        result_text = _format_search_results(results, query)
-    else:
-        # Error string from search tool
-        result_count = 0
-        result_text = str(result)
+        # Create request model
+        request = SearchPromptRequest(query=query, timeframe=timeframe)

-    return dedent(f"""
-        # Search Results: "{query}"
+        # Call the prompt API endpoint
+        response = await call_post(
+            client,
+            f"/v2/projects/{active_project.external_id}/prompt/search",
+            json=request.model_dump(exclude_none=True),
+        )

-        This is a memory retrieval session showing search results.
-
-        {result_text}
-
-        ---
-
-        ## Next Steps
-
-        Based on these {result_count} results, you can:
-
-        1. **Read a specific note** - Use `read_note("permalink")` to see full content
-        2. **Build context** - Use `build_context("memory://path")` to see relationships
-        3. **Refine search** - Use `search_notes("refined query")` to narrow results
-        4. **Check recent activity** - Use `recent_activity(timeframe="7d")` for recent changes
-    """)
-
-
-def _format_search_results(results: list[dict], query: str) -> str:
-    """Format search result dicts into readable markdown."""
-    if not results:
-        return f"No results found for '{query}'."
-
-    lines = [f"Found {len(results)} results:\n"]
-
-    for item in results:
-        title = item.get("title", "Untitled")
-        permalink = item.get("permalink", "")
-        score = item.get("score")
-        score_text = f" (score: {score:.2f})" if score else ""
-
-        lines.append(f"- **{title}**{score_text}")
-        if permalink:
-            lines.append(f"  permalink: {permalink}")
-        content = item.get("content")
-        if content:
-            # Truncate content snippet
-            content = content[:200] + "..." if len(content) > 200 else content
-            lines.append(f"  {content}")
-        lines.append("")
-
-    return "\n".join(lines)
+        # Extract the rendered prompt from the response
+        result = response.json()
+        return result["prompt"]
@@ -1,27 +1,25 @@
 """MCP resources for Basic Memory."""

 from basic_memory.mcp.resources.project_info import project_info
-
-# TODO: re-enable once MCP client rendering is working
-# from basic_memory.mcp.resources.ui import (
-#     note_preview_ui,
-#     note_preview_ui_mcp_ui,
-#     note_preview_ui_tool_ui,
-#     note_preview_ui_vanilla,
-#     search_results_ui,
-#     search_results_ui_mcp_ui,
-#     search_results_ui_tool_ui,
-#     search_results_ui_vanilla,
-# )
+from basic_memory.mcp.resources.ui import (
+    note_preview_ui,
+    note_preview_ui_mcp_ui,
+    note_preview_ui_tool_ui,
+    note_preview_ui_vanilla,
+    search_results_ui,
+    search_results_ui_mcp_ui,
+    search_results_ui_tool_ui,
+    search_results_ui_vanilla,
+)

 __all__ = [
    "project_info",
-    # "note_preview_ui",
-    # "note_preview_ui_mcp_ui",
-    # "note_preview_ui_tool_ui",
-    # "note_preview_ui_vanilla",
-    # "search_results_ui",
-    # "search_results_ui_mcp_ui",
-    # "search_results_ui_tool_ui",
-    # "search_results_ui_vanilla",
+    "note_preview_ui",
+    "note_preview_ui_mcp_ui",
+    "note_preview_ui_tool_ui",
+    "note_preview_ui_vanilla",
+    "search_results_ui",
+    "search_results_ui_mcp_ui",
+    "search_results_ui_tool_ui",
+    "search_results_ui_vanilla",
 ]
@@ -14,30 +14,36 @@ Basic Memory creates a semantic knowledge graph from markdown files. Focus on bu

 **Your role**: You're helping humans build enduring knowledge they'll own forever. The semantic graph (observations, relations, context) helps you provide better assistance by understanding connections and maintaining continuity. Think: lasting insights worth keeping, not disposable chat logs.

-## Project Management
+## Project Management 

-**Resolution priority:**
-1. CLI constraint: `BASIC_MEMORY_MCP_PROJECT` env var (highest priority)
+All tools require explicit project specification.
+
+**Three-tier resolution:**
+1. CLI constraint: `--project name` (highest priority)
 2. Explicit parameter: `project="name"` in tool calls
-3. Default project: `default_project` in config (fallback)
+3. Default mode: `default_project_mode=true` in config (fallback)

 ### Quick Setup Check

 ```python
 # Discover projects
 projects = await list_memory_projects()
+
+# Check if default_project_mode enabled
+# If yes: project parameter optional
+# If no: project parameter required
 ```

-### Default Project
+### Default Project Mode

-When `default_project` is set in config:
+When `default_project_mode=true`:
 ```python
 # These are equivalent:
 await write_note("Note", "Content", "folder")
 await write_note("Note", "Content", "folder", project="main")
 ```

-When no `default_project` is configured:
+When `default_project_mode=false`:
 ```python
 # Project required:
 await write_note("Note", "Content", "folder", project="main")  # ✓
@@ -53,20 +59,10 @@ await write_note(
    title="Topic",
    content="# Topic\n## Observations\n- [category] fact\n## Relations\n- relates_to [[Other]]",
    folder="notes",
-    project="main"  # Optional if default_project is set in config
+    project="main"  # Required unless default_project_mode=true
 )
 ```

-> **Important**: `write_note` errors if the note already exists. Use `edit_note` for incremental changes, or pass `overwrite=True` to replace.
-
-```python
-# Preferred: update an existing note incrementally
-await edit_note(identifier="Topic", operation="append", content="\n- [category] new fact")
-
-# Alternative: replace the entire note
-await write_note(title="Topic", content="...", folder="notes", overwrite=True)
-```
-
 ### Reading Knowledge

 ```python
@@ -80,27 +76,11 @@ content = await read_note("memory://folder/topic", project="main")
 ### Searching

 ```python
-# Basic text search
-results = await search_notes(query="authentication", project="main")
-
-# Search types: "text" (default), "title", "permalink", "vector"/"semantic", "hybrid"
-# Default is "hybrid" when semantic search is enabled, "text" otherwise
-results = await search_notes(query="auth flow", search_type="hybrid")
-
-# Tag shorthand in query (multiple tags: "tag:x AND tag:y" or "tag:x tag:y")
-results = await search_notes(query="tag:security")
-results = await search_notes(query="tag:coffee AND tag:brewing")
-
-# Filter-only search (no query needed)
-results = await search_notes(tags=["security", "auth"], status="active")
-
-# Metadata filters with operators: $in, $gt, $gte, $lt, $lte, $between
 results = await search_notes(
-    metadata_filters={"priority": {"$in": ["high", "critical"]}}
+    query="authentication",
+    project="main",
+    page_size=10
 )
-
-# Override similarity threshold for vector/hybrid search
-results = await search_notes(query="auth", search_type="hybrid", min_similarity=0.5)
 ```

 ### Building Context
@@ -163,11 +143,12 @@ await write_note(
 ### 1. Project Management

 **Single-project users:**
- Set `default_project` in config (e.g., `"main"`)
- Simpler tool calls — project parameter is optional
+- Enable `default_project_mode=true`
+- Simpler tool calls

 **Multi-project users:**
- Always specify project explicitly in tool calls
+- Keep `default_project_mode=false`
+- Always specify project explicitly

 **Discovery:**
 ```python
@@ -188,8 +169,6 @@ activity = await recent_activity(project="main")
 - 2-3 relations per note
 - Meaningful categories and relation types

-**Prefer `edit_note` for updates** — use `write_note` only for new notes.
-
 **Search before creating:**
 ```python
 # Find existing entities to reference
@@ -221,7 +200,7 @@ Background information
 **Missing project:**
 ```python
 try:
-    await search_notes(query="test")  # Fails if no default_project configured
+    await search_notes(query="test")  # Missing project parameter - will error
 except:
    # Show available projects
    projects = await list_memory_projects()
@@ -229,14 +208,6 @@ except:
    results = await search_notes(query="test", project=projects[0].name)
 ```

-**Note already exists:**
-```python
-# write_note returns an error if the note exists — use edit_note or overwrite
-await edit_note(identifier="Existing Topic", operation="append", content="\n- [update] new info")
-# Or replace entirely:
-await write_note(title="Existing Topic", content="...", folder="notes", overwrite=True)
-```
-
 **Forward references:**
 ```python
 # Check response for unresolved relations
@@ -292,14 +263,13 @@ context = await build_context(url=f"memory://{results[0].permalink}", project="m

 | Tool | Purpose | Key Params |
 |------|---------|------------|
-| `write_note` | Create new | title, content, folder, project, overwrite |
+| `write_note` | Create/update | title, content, folder, project |
 | `read_note` | Read content | identifier, project |
 | `edit_note` | Modify existing | identifier, operation, content, project |
-| `search_notes` | Find notes | query, search_type, tags, metadata_filters, project |
+| `search_notes` | Find notes | query, project |
 | `build_context` | Graph traversal | url, depth, project |
 | `recent_activity` | Recent changes | timeframe, project |
 | `list_memory_projects` | Show projects | (none) |
-| `list_workspaces` | Show workspaces | (none) |

 ## memory:// URL Format

@@ -307,7 +277,6 @@ context = await build_context(url=f"memory://{results[0].permalink}", project="m
 - `memory://folder/title` - By folder + title
 - `memory://permalink` - By permalink
 - `memory://folder/*` - All in folder
- `memory://project-name/folder/title` - Cross-project (auto-routes to the correct project)

 For full documentation: https://docs.basicmemory.com

@@ -38,8 +38,8 @@ async def project_info(

    Args:
        project: Optional project name. If not provided, uses default_project
-                from config or CLI constraint. If unknown, use
-                list_memory_projects() to discover available projects.
+                (if default_project_mode=true) or CLI constraint. If unknown,
+                use list_memory_projects() to discover available projects.
        context: Optional FastMCP context for performance caching.

    Returns:
@@ -2,70 +2,14 @@
 Basic Memory FastMCP server.
 """

-import asyncio
-import time
 from contextlib import asynccontextmanager

 from fastmcp import FastMCP
 from loguru import logger
-from sqlalchemy import text
-from sqlalchemy.ext.asyncio import async_sessionmaker, AsyncSession

 from basic_memory import db
-from basic_memory.cli.auth import CLIAuth
-from basic_memory.config import BasicMemoryConfig
-from basic_memory.db import (
-    scoped_session,
-    _needs_semantic_embedding_backfill,
-    _run_semantic_embedding_backfill,
-)
 from basic_memory.mcp.container import McpContainer, set_container
 from basic_memory.services.initialization import initialize_app
-from basic_memory import telemetry
-
-
-async def _log_embedding_status(session_maker: async_sessionmaker[AsyncSession]) -> None:
-    """Log a clear summary of semantic embedding status at startup."""
-    try:
-        async with scoped_session(session_maker) as session:
-            entity_count = (
-                await session.execute(text("SELECT COUNT(*) FROM entity"))
-            ).scalar() or 0
-            chunk_count = (
-                await session.execute(text("SELECT COUNT(*) FROM search_vector_chunks"))
-            ).scalar() or 0
-            embedding_count = (
-                await session.execute(text("SELECT COUNT(*) FROM search_vector_embeddings_rowids"))
-            ).scalar() or 0
-
-        if entity_count == 0:
-            logger.info("Semantic embeddings: no entities yet")
-        elif embedding_count == 0:
-            logger.warning(
-                f"Semantic embeddings: EMPTY — {entity_count} entities have no embeddings. "
-                "Backfill running in background..."
-            )
-        else:
-            logger.info(
-                f"Semantic embeddings: {embedding_count} embeddings "
-                f"across {chunk_count} chunks for {entity_count} entities"
-            )
-    except Exception as exc:
-        logger.debug(f"Could not check embedding status at startup: {exc}")
-
-
-async def _background_embedding_backfill(
-    config: BasicMemoryConfig,
-    session_maker: async_sessionmaker[AsyncSession],
-) -> None:
-    """Run semantic embedding backfill in the background without blocking startup."""
-    try:
-        if await _needs_semantic_embedding_backfill(config, session_maker):
-            logger.info("Background embedding backfill starting...")
-            await _run_semantic_embedding_backfill(config, session_maker)
-            await _log_embedding_status(session_maker)
-    except Exception as exc:
-        logger.error(f"Background embedding backfill failed: {exc}")


@asynccontextmanager
@@ -82,97 +26,33 @@ async def lifespan(app: FastMCP):
    container = McpContainer.create()
    set_container(container)

-    config = container.config
-    with telemetry.operation(
-        "mcp.lifecycle.startup",
-        entrypoint="mcp",
-        mode=container.mode.name.lower(),
-        default_project=config.default_project,
-    ):
-        logger.info(f"Starting Basic Memory MCP server (mode={container.mode.name})")
-        logger.info(
-            f"Config: database_backend={config.database_backend.value}, "
-            f"semantic_search_enabled={config.semantic_search_enabled}, "
-            f"default_project={config.default_project}"
-        )
-        if config.semantic_search_enabled:
-            logger.info(
-                f"Semantic search: provider={config.semantic_embedding_provider}, "
-                f"model={config.semantic_embedding_model}, "
-                f"dimensions={config.semantic_embedding_dimensions or 'auto'}, "
-                f"batch_size={config.semantic_embedding_batch_size}"
-            )
+    logger.debug(f"Starting Basic Memory MCP server (mode={container.mode.name})")

-        # Log configured projects with their routing mode
-        for name, entry in config.projects.items():
-            default = " (default)" if name == config.default_project else ""
-            logger.info(f"Project: {name} -> {entry.path} [mode={entry.mode.value}]{default}")
+    # Track if we created the engine (vs test fixtures providing it)
+    # This prevents disposing an engine provided by test fixtures when
+    # multiple Client connections are made in the same test
+    engine_was_none = db._engine is None

-        # Check cloud auth status (local file check, no network call)
-        auth = CLIAuth(client_id=config.cloud_client_id, authkit_domain=config.cloud_domain)
-        tokens = auth.load_tokens()
-        if tokens is not None:
-            if not auth.is_token_valid(tokens):
-                expires_at = tokens.get("expires_at", 0)
-                expired_ago = int(time.time() - expires_at)
-                logger.warning(
-                    f"Cloud token expired {expired_ago}s ago - may need 'bm cloud login'"
-                )
-            else:
-                logger.info("Cloud: authenticated (OAuth token valid)")
+    # Initialize app (runs migrations, reconciles projects)
+    await initialize_app(container.config)

-        if config.cloud_api_key:
-            logger.info("Cloud: API key configured")
-
-        # Track if we created the engine (vs test fixtures providing it)
-        # This prevents disposing an engine provided by test fixtures when
-        # multiple Client connections are made in the same test
-        engine_was_none = db._engine is None
-
-        # Initialize app (runs migrations, reconciles projects)
-        await initialize_app(container.config)
-
-        # Log embedding status so it's easy to spot in the logs
-        backfill_task: asyncio.Task | None = None  # type: ignore[type-arg]
-        if config.semantic_search_enabled and db._session_maker is not None:
-            await _log_embedding_status(db._session_maker)
-            # Launch backfill in background so MCP server is ready immediately
-            backfill_task = asyncio.create_task(
-                _background_embedding_backfill(config, db._session_maker),
-                name="embedding-backfill",
-            )
-
-        # Create and start sync coordinator (lifecycle centralized in coordinator)
-        sync_coordinator = container.create_sync_coordinator()
-        await sync_coordinator.start()
+    # Create and start sync coordinator (lifecycle centralized in coordinator)
+    sync_coordinator = container.create_sync_coordinator()
+    await sync_coordinator.start()

    try:
        yield
    finally:
        # Shutdown - coordinator handles clean task cancellation
-        with telemetry.operation(
-            "mcp.lifecycle.shutdown",
-            entrypoint="mcp",
-            mode=container.mode.name.lower(),
-        ):
-            logger.debug("Shutting down Basic Memory MCP server")
+        logger.debug("Shutting down Basic Memory MCP server")
+        await sync_coordinator.stop()

-            # Cancel embedding backfill if still running
-            if backfill_task is not None and not backfill_task.done():
-                backfill_task.cancel()
-                try:
-                    await backfill_task
-                except asyncio.CancelledError:
-                    logger.info("Background embedding backfill cancelled during shutdown")
-
-            await sync_coordinator.stop()
-
-            # Only shutdown DB if we created it (not if test fixture provided it)
-            if engine_was_none:
-                await db.shutdown_db()
-                logger.debug("Database connections closed")
-            else:  # pragma: no cover
-                logger.debug("Skipping DB shutdown - engine provided externally")
+        # Only shutdown DB if we created it (not if test fixture provided it)
+        if engine_was_none:
+            await db.shutdown_db()
+            logger.debug("Database connections closed")
+        else:  # pragma: no cover
+            logger.debug("Skipping DB shutdown - engine provided externally")


 mcp = FastMCP(
@@ -11,19 +11,16 @@ from basic_memory.mcp.tools.read_content import read_content
 from basic_memory.mcp.tools.build_context import build_context
 from basic_memory.mcp.tools.recent_activity import recent_activity
 from basic_memory.mcp.tools.read_note import read_note
-
-# TODO: re-enable once MCP client rendering is working
-# from basic_memory.mcp.tools.ui_sdk import read_note_ui, search_notes_ui
+from basic_memory.mcp.tools.ui_sdk import read_note_ui, search_notes_ui
 from basic_memory.mcp.tools.view_note import view_note
 from basic_memory.mcp.tools.write_note import write_note
 from basic_memory.mcp.tools.cloud_info import cloud_info
 from basic_memory.mcp.tools.release_notes import release_notes
-from basic_memory.mcp.tools.search import search_notes
+from basic_memory.mcp.tools.search import search_notes, search_by_metadata
 from basic_memory.mcp.tools.canvas import canvas
 from basic_memory.mcp.tools.list_directory import list_directory
 from basic_memory.mcp.tools.edit_note import edit_note
 from basic_memory.mcp.tools.move_note import move_note
-from basic_memory.mcp.tools.workspaces import list_workspaces
 from basic_memory.mcp.tools.project_management import (
    list_memory_projects,
    create_memory_project,
@@ -47,19 +44,19 @@ __all__ = [
    "fetch",
    "list_directory",
    "list_memory_projects",
-    "list_workspaces",
    "move_note",
    "read_content",
    "read_note",
    "release_notes",
-    # "read_note_ui",
+    "read_note_ui",
    "recent_activity",
    "schema_diff",
    "schema_infer",
    "schema_validate",
    "search",
+    "search_by_metadata",
    "search_notes",
-    # "search_notes_ui",
+    "search_notes_ui",
    "view_note",
    "write_note",
 ]
@@ -1,113 +1,14 @@
 """Build context tool for Basic Memory MCP server."""

-from typing import Optional, Literal
+from typing import Optional

 from loguru import logger
 from fastmcp import Context

-from basic_memory.config import ConfigManager
-from basic_memory import telemetry
-from basic_memory.mcp.project_context import (
-    detect_project_from_url_prefix,
-    get_project_client,
-    resolve_project_and_path,
-)
+from basic_memory.mcp.project_context import get_project_client, resolve_project_and_path
 from basic_memory.mcp.server import mcp
 from basic_memory.schemas.base import TimeFrame
-from basic_memory.schemas.memory import (
-    ContextResult,
-    EntitySummary,
-    GraphContext,
-    MemoryUrl,
-    ObservationSummary,
-    RelationSummary,
-)
-
-
-def _format_entity_block(result: ContextResult) -> str:
-    """Format a single context result as a markdown block."""
-    primary = result.primary_result
-    lines = []
-
-    # --- Header ---
-    lines.append(f"## {primary.title}")
-    if primary.permalink:
-        lines.append(f"permalink: {primary.permalink}")
-    # RelationSummary has no content field; Entity/Observation do
-    if not isinstance(primary, RelationSummary) and primary.content:
-        lines.append("")
-        lines.append(primary.content)
-
-    # --- Observations ---
-    if result.observations:
-        lines.append("")
-        lines.append("### Observations")
-        for obs in result.observations:
-            lines.append(f"- [{obs.category}] {obs.content}")
-
-    # --- Relations (from primary's related_results that are RelationSummary) ---
-    relation_items: list[RelationSummary] = [
-        r for r in result.related_results if isinstance(r, RelationSummary)
-    ]
-    if relation_items:
-        lines.append("")
-        lines.append("### Relations")
-        for rel in relation_items:
-            lines.append(f"- {rel.relation_type} [[{rel.to_entity}]]")
-
-    # --- Related entities (non-relation related results) ---
-    related_entities: list[EntitySummary | ObservationSummary] = [
-        r for r in result.related_results if not isinstance(r, RelationSummary)
-    ]
-    if related_entities:
-        lines.append("")
-        lines.append("### Related")
-        for item in related_entities:
-            permalink = item.permalink if item.permalink else ""
-            lines.append(f"- [[{item.title}]] ({permalink})")
-
-    return "\n".join(lines)
-
-
-def _format_context_markdown(graph: GraphContext, project: str) -> str:
-    """Format GraphContext as compact markdown text.
-
-    Produces a human-readable markdown representation that is much smaller
-    than the equivalent JSON, suitable for LLM consumption when structured
-    data isn't needed.
-    """
-    if not graph.results:
-        uri = graph.metadata.uri or ""
-        return f"No results found for '{uri}' in project '{project}'."
-
-    parts = []
-
-    # --- Title from first primary result ---
-    first_title = graph.results[0].primary_result.title
-    if len(graph.results) == 1:
-        parts.append(f"# Context: {first_title}")
-    else:
-        uri = graph.metadata.uri or ""
-        parts.append(f"# Context: {uri}")
-
-    parts.append("")
-
-    # --- Entity blocks separated by --- ---
-    entity_blocks = [_format_entity_block(result) for result in graph.results]
-    parts.append("\n\n---\n\n".join(entity_blocks))
-
-    # --- Footer ---
-    meta = graph.metadata
-    primary_count = meta.primary_count or 0
-    related_count = meta.related_count or 0
-    parts.append("")
-    parts.append("---")
-    parts.append(
-        f"*{primary_count} primary, {related_count} related"
-        f" | depth={meta.depth} | project: {project}*"
-    )
-
-    return "\n".join(parts)
+from basic_memory.schemas.memory import GraphContext, MemoryUrl, parse_memory_url


@mcp.tool(
@@ -118,32 +19,26 @@ def _format_context_markdown(graph: GraphContext, project: str) -> str:
    Memory URL Format:
    - Use paths like "folder/note" or "memory://folder/note"
    - Pattern matching: "folder/*" matches all notes in folder
+    - Query parameters: "memory://folder/note?project=myproject" to target a specific project
    - Valid characters: letters, numbers, hyphens, underscores, forward slashes
    - Avoid: double slashes (//), angle brackets (<>), quotes, pipes (|)
-    - Examples: "specs/search", "projects/basic-memory", "notes/*"
+    - Examples: "specs/search", "memory://specs/search?project=research", "notes/*"

    Timeframes support natural language like:
    - "2 days ago", "last week", "today", "3 months ago"
    - Or standard formats like "7d", "24h"
-
-    Format options:
-    - "json" (default): Structured JSON with internal fields excluded
-    - "text": Compact markdown text for LLM consumption
    """,
-    annotations={"readOnlyHint": True, "openWorldHint": False},
 )
 async def build_context(
    url: MemoryUrl,
    project: Optional[str] = None,
-    workspace: Optional[str] = None,
    depth: str | int | None = 1,
    timeframe: Optional[TimeFrame] = "7d",
    page: int = 1,
    page_size: int = 10,
    max_related: int = 10,
-    output_format: Literal["json", "text"] = "json",
    context: Context | None = None,
-) -> dict | str:
+) -> GraphContext:
    """Get context needed to continue a discussion within a specific project.

    This tool enables natural continuation of discussions by loading relevant context
@@ -158,19 +53,21 @@ async def build_context(
    Args:
        project: Project name to build context from. Optional - server will resolve using hierarchy.
                If unknown, use list_memory_projects() to discover available projects.
+                Can also be specified via ?project= query parameter on the URL.
        url: memory:// URI pointing to discussion content (e.g. memory://specs/search)
+             Supports ?project= query parameter (e.g. memory://specs/search?project=research)
        depth: How many relation hops to traverse (1-3 recommended for performance)
        timeframe: How far back to look. Supports natural language like "2 days ago", "last week"
        page: Page number of results to return (default: 1)
        page_size: Number of results to return per page (default: 10)
        max_related: Maximum number of related results to return (default: 10)
-        output_format: Response format - "json" for structured JSON dict,
-            "text" for compact markdown text
        context: Optional FastMCP context for performance caching.

    Returns:
-        dict (output_format="json"): Structured JSON with internal fields excluded
-        str (output_format="text"): Compact markdown representation
+        GraphContext containing:
+            - primary_results: Content matching the memory:// URI
+            - related_results: Connected content via relations
+            - metadata: Context building details

    Examples:
        # Continue a specific discussion
@@ -179,17 +76,21 @@ async def build_context(
        # Get deeper context about a component
        build_context("work-docs", "memory://components/memory-service", depth=2)

-        # Get text output for compact context
-        build_context("research", "memory://specs/search", output_format="text")
+        # Look at recent changes to a specification
+        build_context("research", "memory://specs/document-format", timeframe="today")
+
+        # Research the history of a feature
+        build_context("dev-notes", "memory://features/knowledge-graph", timeframe="3 months ago")

    Raises:
        ToolError: If project doesn't exist or depth parameter is invalid
    """
-    # Detect project from memory URL prefix before routing
-    if project is None:
-        detected = detect_project_from_url_prefix(url, ConfigManager().config)
-        if detected:
-            project = detected
+    # Extract ?project= from URL when no explicit project parameter was provided
+    url, url_params = parse_memory_url(url)
+    if project is None and "project" in url_params:
+        project = url_params["project"]
+
+    logger.info(f"Building context from {url} in project {project}")

    # Convert string depth to integer if needed
    if isinstance(depth, str):
@@ -200,64 +101,22 @@ async def build_context(

            raise ToolError(f"Invalid depth parameter: '{depth}' is not a valid integer")

-    # URL is already validated and normalized by MemoryUrl type annotation
+    async with get_project_client(project, context) as (client, active_project):
+        # Resolve memory:// identifier with project-prefix awareness
+        _, resolved_path, _ = await resolve_project_and_path(
+            client, url, project, context
+        )

-    with telemetry.operation(
-        "mcp.tool.build_context",
-        entrypoint="mcp",
-        tool_name="build_context",
-        requested_project=project,
-        workspace_id=workspace,
-        depth=depth or 1,
-        timeframe=timeframe,
-        page=page,
-        page_size=page_size,
-        max_related=max_related,
-        output_format=output_format,
-        is_memory_url=str(url).startswith("memory://"),
-    ):
-        async with get_project_client(project, workspace, context) as (client, active_project):
-            with telemetry.contextualize(
-                project_name=active_project.name,
-                workspace_id=workspace,
-                tool_name="build_context",
-            ):
-                logger.info(
-                    f"MCP tool call tool=build_context project={active_project.name} "
-                    f"url={url} depth={depth} timeframe={timeframe} output_format={output_format}"
-                )
+        # Import here to avoid circular import
+        from basic_memory.mcp.clients import MemoryClient

-                # Resolve memory:// identifier with project-prefix awareness
-                _, resolved_path, _ = await resolve_project_and_path(
-                    client,
-                    url,
-                    active_project.name,
-                    context,
-                )
-
-                # Import here to avoid circular import
-                from basic_memory.mcp.clients import MemoryClient
-
-                # Use typed MemoryClient for API calls
-                memory_client = MemoryClient(client, active_project.external_id)
-                graph = await memory_client.build_context(
-                    resolved_path,
-                    depth=depth or 1,
-                    timeframe=timeframe,
-                    page=page,
-                    page_size=page_size,
-                    max_related=max_related,
-                )
-
-                logger.info(
-                    f"MCP tool response: tool=build_context project={active_project.name} "
-                    f"uri={graph.metadata.uri or resolved_path} "
-                    f"primary_count={graph.metadata.primary_count or 0} "
-                    f"related_count={graph.metadata.related_count or 0} "
-                    f"output_format={output_format}"
-                )
-
-                if output_format == "text":
-                    return _format_context_markdown(graph, active_project.name)
-
-                return graph.model_dump()
+        # Use typed MemoryClient for API calls
+        memory_client = MemoryClient(client, active_project.external_id)
+        return await memory_client.build_context(
+            resolved_path,
+            depth=depth or 1,
+            timeframe=timeframe,
+            page=page,
+            page_size=page_size,
+            max_related=max_related,
+        )
@@ -4,29 +4,25 @@ This tool creates Obsidian canvas files (.canvas) using the JSON Canvas 1.0 spec
 """

 import json
-from typing import Annotated, Dict, List, Any, Optional
+from typing import Dict, List, Any, Optional

 from loguru import logger
 from fastmcp import Context
-from pydantic import BeforeValidator

 from basic_memory.mcp.project_context import get_project_client
-from basic_memory.utils import coerce_list
 from basic_memory.mcp.server import mcp
 from basic_memory.mcp.tools.utils import call_put, call_post, resolve_entity_id


@mcp.tool(
    description="Create an Obsidian canvas file to visualize concepts and connections.",
-    annotations={"destructiveHint": False, "idempotentHint": True, "openWorldHint": False},
 )
 async def canvas(
-    nodes: Annotated[List[Dict[str, Any]], BeforeValidator(coerce_list)],
-    edges: Annotated[List[Dict[str, Any]], BeforeValidator(coerce_list)],
+    nodes: List[Dict[str, Any]],
+    edges: List[Dict[str, Any]],
    title: str,
    directory: str,
    project: Optional[str] = None,
-    workspace: Optional[str] = None,
    context: Context | None = None,
 ) -> str:
    """Create an Obsidian canvas file with the provided nodes and edges.
@@ -97,7 +93,7 @@ async def canvas(
    Raises:
        ToolError: If project doesn't exist or directory path is invalid
    """
-    async with get_project_client(project, workspace, context) as (client, active_project):
+    async with get_project_client(project, context) as (client, active_project):
        # Ensure path has .canvas extension
        file_title = title if title.endswith(".canvas") else f"{title}.canvas"
        file_path = f"{directory}/{file_title}"
@@ -7,47 +7,28 @@ a list containing a single `{"type": "text", "text": "{...json...}"}` item.

 import json
 from typing import Any, Dict, List, Optional
-
-from fastmcp import Context
 from loguru import logger
+from fastmcp import Context

 from basic_memory.mcp.server import mcp
-from basic_memory.mcp.tools.read_note import read_note
 from basic_memory.mcp.tools.search import search_notes
-from basic_memory.schemas.search import SearchResponse, SearchResult
+from basic_memory.mcp.tools.read_note import read_note
+from basic_memory.schemas.search import SearchResponse
+from basic_memory.config import ConfigManager


-def _format_search_results_for_chatgpt(
-    results: SearchResponse | list[SearchResult] | list[dict[str, Any]] | dict[str, Any],
-) -> List[Dict[str, Any]]:
+def _format_search_results_for_chatgpt(results: SearchResponse) -> List[Dict[str, Any]]:
    """Format search results according to ChatGPT's expected schema.

    Returns a list of result objects with id, title, and url fields.
    """
-    if isinstance(results, SearchResponse):
-        raw_results: list[SearchResult] | list[dict[str, Any]] = results.results
-    elif isinstance(results, dict):
-        nested_results = results.get("results")
-        raw_results = nested_results if isinstance(nested_results, list) else []
-    else:
-        raw_results = results
-
    formatted_results = []

-    for result in raw_results:
-        if isinstance(result, SearchResult):
-            title = result.title
-            permalink = result.permalink
-        elif isinstance(result, dict):
-            title = result.get("title")
-            permalink = result.get("permalink")
-        else:
-            raise TypeError(f"Unexpected result type: {type(result).__name__}")
-
+    for result in results.results:
        formatted_result = {
-            "id": permalink or f"doc-{len(formatted_results)}",
-            "title": title if isinstance(title, str) and title.strip() else "Untitled",
-            "url": permalink or "",
+            "id": result.permalink or f"doc-{len(formatted_results)}",
+            "title": result.title if result.title and result.title.strip() else "Untitled",
+            "url": result.permalink or "",
        }
        formatted_results.append(formatted_result)

@@ -92,10 +73,7 @@ def _format_document_for_chatgpt(
    }


-@mcp.tool(
-    description="Search for content across the knowledge base",
-    annotations={"readOnlyHint": True, "openWorldHint": False},
-)
+@mcp.tool(description="Search for content across the knowledge base")
 async def search(
    query: str,
    context: Context | None = None,
@@ -113,13 +91,17 @@ async def search(
    logger.info(f"ChatGPT search request: query='{query}'")

    try:
-        # Let search_notes resolve the default project via get_project_client(),
-        # which works in both local mode (ConfigManager) and cloud mode (database).
-        results = await search_notes(
+        # ChatGPT tools don't expose project parameter, so use default project
+        config = ConfigManager().config
+        default_project = config.default_project
+
+        # Call underlying search_notes with sensible defaults for ChatGPT
+        results = await search_notes.fn(
            query=query,
+            project=default_project,  # Use default project for ChatGPT
            page=1,
-            page_size=10,
-            output_format="json",
+            page_size=10,  # Reasonable default for ChatGPT consumption
+            search_type="text",  # Default to full-text search
            context=context,
        )

@@ -133,11 +115,10 @@ async def search(
            }
        else:
            # Format successful results for ChatGPT
-            raw_results = results.get("results", []) if isinstance(results, dict) else []
-            formatted_results = _format_search_results_for_chatgpt(raw_results)
+            formatted_results = _format_search_results_for_chatgpt(results)
            search_results = {
                "results": formatted_results,
-                "total_count": len(raw_results),  # Use actual count from results
+                "total_count": len(results.results),  # Use actual count from results
                "query": query,
            }
            logger.info(f"Search completed: {len(formatted_results)} results returned")
@@ -155,10 +136,7 @@ async def search(
        return [{"type": "text", "text": json.dumps(error_results, ensure_ascii=False)}]


-@mcp.tool(
-    description="Fetch the full contents of a search result document",
-    annotations={"readOnlyHint": True, "openWorldHint": False},
-)
+@mcp.tool(description="Fetch the full contents of a search result document")
 async def fetch(
    id: str,
    context: Context | None = None,
@@ -176,15 +154,17 @@ async def fetch(
    logger.info(f"ChatGPT fetch request: id='{id}'")

    try:
-        # Let read_note resolve the default project via get_project_client(),
-        # which works in both local mode (ConfigManager) and cloud mode (database).
-        content = str(
-            await read_note(
-                identifier=id,
-                page=1,
-                page_size=10,
-                context=context,
-            )
+        # ChatGPT tools don't expose project parameter, so use default project
+        config = ConfigManager().config
+        default_project = config.default_project
+
+        # Call underlying read_note function
+        content = await read_note.fn(
+            identifier=id,
+            project=default_project,  # Use default project for ChatGPT
+            page=1,
+            page_size=10,  # Default pagination
+            context=context,
        )

        # Format the document for ChatGPT
@@ -5,10 +5,7 @@ from pathlib import Path
 from basic_memory.mcp.server import mcp


-@mcp.tool(
-    "cloud_info",
-    annotations={"readOnlyHint": True, "openWorldHint": False},
-)
+@mcp.tool("cloud_info")
 def cloud_info() -> str:
    """Return optional Basic Memory Cloud information and setup guidance."""
    content_path = Path(__file__).parent.parent / "resources" / "cloud_info.md"
@@ -1,13 +1,13 @@
 from textwrap import dedent
-from typing import Optional, Literal
+from typing import Optional

 from loguru import logger
 from fastmcp import Context
 from mcp.server.fastmcp.exceptions import ToolError

-from basic_memory.config import ConfigManager
-from basic_memory.mcp.project_context import detect_project_from_url_prefix, get_project_client
+from basic_memory.mcp.project_context import get_project_client
 from basic_memory.mcp.server import mcp
+from basic_memory.schemas.memory import parse_memory_url


 def _format_delete_error_response(project: str, error_message: str, identifier: str) -> str:
@@ -147,18 +147,13 @@ delete_note("{project}", "correct-identifier-from-search")
 If the note should be deleted but the operation keeps failing, send a message to support@basicmemory.com."""


-@mcp.tool(
-    description="Delete a note or directory by title, permalink, or path",
-    annotations={"destructiveHint": True, "openWorldHint": False},
-)
+@mcp.tool(description="Delete a note or directory by title, permalink, or path")
 async def delete_note(
    identifier: str,
    is_directory: bool = False,
    project: Optional[str] = None,
-    workspace: Optional[str] = None,
-    output_format: Literal["text", "json"] = "text",
    context: Context | None = None,
-) -> bool | str | dict:
+) -> bool | str:
    """Delete a note or directory from the knowledge base.

    Permanently removes a note or directory from the specified project. For single notes,
@@ -179,8 +174,6 @@ async def delete_note(
                     (without file extensions). Defaults to False.
        project: Project name to delete from. Optional - server will resolve using hierarchy.
                If unknown, use list_memory_projects() to discover available projects.
-        output_format: "text" preserves existing behavior (bool/string). "json"
-            returns machine-readable deletion metadata.
        context: Optional FastMCP context for performance caching.

    Returns:
@@ -223,17 +216,13 @@ async def delete_note(
        with suggestions for finding the correct identifier, including search
        commands and alternative formats to try.
    """
-    # Detect project from memory URL prefix before routing
-    # Trigger: identifier starts with memory:// and no explicit project was provided
-    # Why: only gate on memory:// to avoid misrouting plain paths like "research/note"
-    #      where "research" is a directory, not a project name
-    # Outcome: project is set from the URL prefix, routing goes to the correct project
-    if project is None and identifier.strip().startswith("memory://"):
-        detected = detect_project_from_url_prefix(identifier, ConfigManager().config)
-        if detected:
-            project = detected
+    # Extract ?project= from identifier when no explicit project parameter was provided
+    if identifier.startswith("memory://"):
+        identifier, url_params = parse_memory_url(identifier)
+        if project is None and "project" in url_params:
+            project = url_params["project"]

-    async with get_project_client(project, workspace, context) as (client, active_project):
+    async with get_project_client(project, context) as (client, active_project):
        logger.debug(
            f"Deleting {'directory' if is_directory else 'note'}: {identifier} in project: {active_project.name}"
        )
@@ -248,15 +237,6 @@ async def delete_note(
        if is_directory:
            try:
                result = await knowledge_client.delete_directory(identifier)
-                if output_format == "json":
-                    return {
-                        "deleted": result.failed_deletes == 0,
-                        "is_directory": True,
-                        "identifier": identifier,
-                        "total_files": result.total_files,
-                        "successful_deletes": result.successful_deletes,
-                        "failed_deletes": result.failed_deletes,
-                    }

                # Build success message for directory delete
                result_lines = [
@@ -295,16 +275,6 @@ async def delete_note(

            except Exception as e:  # pragma: no cover
                logger.error(f"Directory delete failed for '{identifier}': {e}")
-                if output_format == "json":
-                    return {
-                        "deleted": False,
-                        "is_directory": True,
-                        "identifier": identifier,
-                        "total_files": 0,
-                        "successful_deletes": 0,
-                        "failed_deletes": 0,
-                        "error": str(e),
-                    }
                return f"""# Directory Delete Failed

 Error deleting directory '{identifier}': {str(e)}
@@ -324,41 +294,18 @@ delete_note("path/to/file.md")
 ```"""

        # Handle single note deletes
-        note_title = None
-        note_permalink = None
-        note_file_path = None
        try:
            # Resolve identifier to entity ID
-            entity_id = await knowledge_client.resolve_entity(identifier, strict=True)
-            if output_format == "json":
-                entity = await knowledge_client.get_entity(entity_id)
-                note_title = entity.title
-                note_permalink = entity.permalink
-                note_file_path = entity.file_path
+            entity_id = await knowledge_client.resolve_entity(identifier)
        except ToolError as e:
            # If entity not found, return False (note doesn't exist)
            if "Entity not found" in str(e) or "not found" in str(e).lower():
                logger.warning(f"Note not found for deletion: {identifier}")
-                if output_format == "json":
-                    return {
-                        "deleted": False,
-                        "title": None,
-                        "permalink": None,
-                        "file_path": None,
-                    }
                return False
            # For other resolution errors, return formatted error message
            logger.error(  # pragma: no cover
                f"Delete failed for '{identifier}': {e}, project: {active_project.name}"
            )
-            if output_format == "json":
-                return {
-                    "deleted": False,
-                    "title": None,
-                    "permalink": None,
-                    "file_path": None,
-                    "error": str(e),
-                }
            return _format_delete_error_response(  # pragma: no cover
                active_project.name, str(e), identifier
            )
@@ -371,36 +318,14 @@ delete_note("path/to/file.md")
                logger.info(
                    f"Successfully deleted note: {identifier} in project: {active_project.name}"
                )
-                if output_format == "json":
-                    return {
-                        "deleted": True,
-                        "title": note_title,
-                        "permalink": note_permalink,
-                        "file_path": note_file_path,
-                    }
                return True
            else:
                logger.warning(  # pragma: no cover
                    f"Delete operation completed but note was not deleted: {identifier}"
                )
-                if output_format == "json":
-                    return {
-                        "deleted": False,
-                        "title": note_title,
-                        "permalink": note_permalink,
-                        "file_path": note_file_path,
-                    }
                return False  # pragma: no cover

        except Exception as e:  # pragma: no cover
            logger.error(f"Delete failed for '{identifier}': {e}, project: {active_project.name}")
-            if output_format == "json":
-                return {
-                    "deleted": False,
-                    "title": note_title,
-                    "permalink": note_permalink,
-                    "file_path": note_file_path,
-                    "error": str(e),
-                }
            # Return formatted error message for better user experience
            return _format_delete_error_response(active_project.name, str(e), identifier)
@@ -1,48 +1,13 @@
 """Edit note tool for Basic Memory MCP server."""

-from typing import Optional, Literal
+from typing import Optional

 from loguru import logger
 from fastmcp import Context

-from basic_memory.config import ConfigManager
-from basic_memory import telemetry
-from basic_memory.mcp.project_context import (
-    detect_project_from_url_prefix,
-    get_project_client,
-    add_project_metadata,
-)
+from basic_memory.mcp.project_context import get_project_client, add_project_metadata
 from basic_memory.mcp.server import mcp
-from basic_memory.schemas.base import Entity
-from basic_memory.schemas.response import EntityResponse
-from basic_memory.utils import validate_project_path
-
-
-def _parse_identifier_to_title_and_directory(identifier: str) -> tuple[str, str]:
-    """Parse an identifier into (title, directory) for creating a new note.
-
-    Strips memory:// prefix if present, then splits on the last '/' to
-    separate the directory path from the note title.
-
-    Examples:
-        "conversations/my-note" → ("my-note", "conversations")
-        "my-note"              → ("my-note", "")
-        "a/b/c/my-note"       → ("my-note", "a/b/c")
-        "memory://a/b/note"   → ("note", "a/b")
-    """
-    cleaned = identifier
-    if cleaned.startswith("memory://"):
-        cleaned = cleaned[len("memory://") :]
-
-    if "/" in cleaned:
-        last_slash = cleaned.rfind("/")
-        directory = cleaned[:last_slash]
-        title = cleaned[last_slash + 1 :]
-    else:
-        directory = ""
-        title = cleaned
-
-    return title, directory
+from basic_memory.schemas.memory import parse_memory_url


 def _format_error_response(
@@ -55,19 +20,15 @@ def _format_error_response(
 ) -> str:
    """Format helpful error responses for edit_note failures that guide the AI to retry successfully."""

-    # Entity not found errors — only reachable for find_replace/replace_section
-    # because append/prepend auto-create the note when it doesn't exist
+    # Entity not found errors
    if "Entity not found" in error_message or "entity not found" in error_message.lower():
        return f"""# Edit Failed - Note Not Found

-The note with identifier '{identifier}' could not be found. The `find_replace` and `replace_section` operations require an existing note with content to modify.
-
-**Tip:** `append` and `prepend` operations automatically create the note if it doesn't exist.
+The note with identifier '{identifier}' could not be found. Edit operations require an exact match (no fuzzy matching).

 ## Suggestions to try:
-1. **Use append/prepend instead**: These operations will create the note automatically if it doesn't exist
-2. **Search for the note first**: Use `search_notes("{project or "project-name"}", "{identifier.split("/")[-1]}")` to find similar notes with exact identifiers
-3. **Try different exact identifier formats**:
+1. **Search for the note first**: Use `search_notes("{project or "project-name"}", "{identifier.split("/")[-1]}")` to find similar notes with exact identifiers
+2. **Try different exact identifier formats**:
   - If you used a permalink like "folder/note-title", try the exact title: "{identifier.split("/")[-1].replace("-", " ").title()}"
   - If you used a title, try the exact permalink format: "{identifier.lower().replace(" ", "-")}"
   - Use `read_note("{project or "project-name"}", "{identifier}")` first to verify the note exists and get the exact identifier
@@ -164,21 +125,18 @@ Error editing note '{identifier}': {error_message}


@mcp.tool(
-    description="Edit an existing markdown note using various operations like append, prepend, find_replace, replace_section, insert_before_section, or insert_after_section.",
-    annotations={"destructiveHint": False, "openWorldHint": False},
+    description="Edit an existing markdown note using various operations like append, prepend, find_replace, or replace_section.",
 )
 async def edit_note(
    identifier: str,
    operation: str,
    content: str,
    project: Optional[str] = None,
-    workspace: Optional[str] = None,
    section: Optional[str] = None,
    find_text: Optional[str] = None,
-    expected_replacements: Optional[int] = None,
-    output_format: Literal["text", "json"] = "text",
+    expected_replacements: int = 1,
    context: Context | None = None,
-) -> str | dict:
+) -> str:
    """Edit an existing markdown note in the knowledge base.

    Makes targeted changes to existing notes without rewriting the entire content.
@@ -192,20 +150,16 @@ async def edit_note(
                   Must be an exact match - fuzzy matching is not supported for edit operations.
                   Use search_notes() or read_note() first to find the correct identifier if uncertain.
        operation: The editing operation to perform:
-                  - "append": Add content to the end of the note (creates the note if it doesn't exist)
-                  - "prepend": Add content to the beginning of the note (creates the note if it doesn't exist)
-                  - "find_replace": Replace occurrences of find_text with content (note must exist)
-                  - "replace_section": Replace content under a specific markdown header (note must exist)
-                  - "insert_before_section": Insert content before a section heading without consuming it (note must exist)
-                  - "insert_after_section": Insert content after a section heading without consuming it (note must exist)
+                  - "append": Add content to the end of the note
+                  - "prepend": Add content to the beginning of the note
+                  - "find_replace": Replace occurrences of find_text with content
+                  - "replace_section": Replace content under a specific markdown header
        content: The content to add or use for replacement
        project: Project name to edit in. Optional - server will resolve using hierarchy.
                If unknown, use list_memory_projects() to discover available projects.
        section: For replace_section operation - the markdown header to replace content under (e.g., "## Notes", "### Implementation")
        find_text: For find_replace operation - the text to find and replace
        expected_replacements: For find_replace operation - the expected number of replacements (validation will fail if actual doesn't match)
-        output_format: "text" returns the existing markdown summary. "json" returns
-            machine-readable edit metadata.
        context: Optional FastMCP context for performance caching.

    Returns:
@@ -258,256 +212,116 @@ async def edit_note(
        search_notes() first to find the correct identifier. The tool provides detailed
        error messages with suggestions if operations fail.
    """
-    # Resolve effective default: allow MCP clients to send null for optional int field
-    effective_replacements = expected_replacements if expected_replacements is not None else 1
+    # Extract ?project= from identifier when no explicit project parameter was provided
+    if identifier.startswith("memory://"):
+        identifier, url_params = parse_memory_url(identifier)
+        if project is None and "project" in url_params:
+            project = url_params["project"]

-    # Detect project from memory URL prefix before routing
-    # Trigger: identifier starts with memory:// and no explicit project was provided
-    # Why: only gate on memory:// to avoid misrouting plain paths like "research/note"
-    #      where "research" is a directory, not a project name
-    # Outcome: project is set from the URL prefix, routing goes to the correct project
-    if project is None and identifier.strip().startswith("memory://"):
-        detected = detect_project_from_url_prefix(identifier, ConfigManager().config)
-        if detected:
-            project = detected
+    async with get_project_client(project, context) as (client, active_project):
+        logger.info("MCP tool call", tool="edit_note", identifier=identifier, operation=operation)

-    with telemetry.operation(
-        "mcp.tool.edit_note",
-        entrypoint="mcp",
-        tool_name="edit_note",
-        requested_project=project,
-        workspace_id=workspace,
-        edit_operation=operation,
-        output_format=output_format,
-        has_section=bool(section),
-        has_find_text=bool(find_text),
-        expected_replacements=effective_replacements,
-    ):
-        async with get_project_client(project, workspace, context) as (client, active_project):
-            with telemetry.contextualize(
-                project_name=active_project.name,
-                workspace_id=workspace,
-                tool_name="edit_note",
-            ):
-                logger.info(
-                    f"MCP tool call tool=edit_note project={active_project.name} "
-                    f"identifier={identifier} operation={operation} output_format={output_format}"
-                )
+        # Validate operation
+        valid_operations = ["append", "prepend", "find_replace", "replace_section"]
+        if operation not in valid_operations:
+            raise ValueError(
+                f"Invalid operation '{operation}'. Must be one of: {', '.join(valid_operations)}"
+            )

-                # Validate operation
-                valid_operations = [
-                    "append",
-                    "prepend",
-                    "find_replace",
-                    "replace_section",
-                    "insert_before_section",
-                    "insert_after_section",
-                ]
-                if operation not in valid_operations:
-                    raise ValueError(
-                        f"Invalid operation '{operation}'. Must be one of: {', '.join(valid_operations)}"
-                    )
+        # Validate required parameters for specific operations
+        if operation == "find_replace" and not find_text:
+            raise ValueError("find_text parameter is required for find_replace operation")
+        if operation == "replace_section" and not section:
+            raise ValueError("section parameter is required for replace_section operation")

-                # Validate required parameters for specific operations
-                if operation == "find_replace" and not find_text:
-                    raise ValueError("find_text parameter is required for find_replace operation")
-                section_ops = ("replace_section", "insert_before_section", "insert_after_section")
-                if operation in section_ops and not section:
-                    raise ValueError("section parameter is required for section-based operations")
+        # Use the PATCH endpoint to edit the entity
+        try:
+            # Import here to avoid circular import
+            from basic_memory.mcp.clients import KnowledgeClient

-                # Use the PATCH endpoint to edit the entity
-                try:
-                    # Import here to avoid circular import
-                    from basic_memory.mcp.clients import KnowledgeClient
+            # Use typed KnowledgeClient for API calls
+            knowledge_client = KnowledgeClient(client, active_project.external_id)

-                    # Use typed KnowledgeClient for API calls
-                    knowledge_client = KnowledgeClient(client, active_project.external_id)
+            # Resolve identifier to entity ID
+            entity_id = await knowledge_client.resolve_entity(identifier)

-                    file_created = False
-                    entity_id = ""
-                    result: EntityResponse | None = None
+            # Prepare the edit request data
+            edit_data = {
+                "operation": operation,
+                "content": content,
+            }

-                    # Try to resolve the entity; for append/prepend, create it if not found
-                    try:
-                        entity_id = await knowledge_client.resolve_entity(identifier, strict=True)
-                    except Exception as resolve_error:
-                        # Trigger: entity does not exist yet
-                        # Why: append/prepend can meaningfully create a new note from the content,
-                        #      while find_replace/replace_section require existing content to modify
-                        # Outcome: note is created via the same path as write_note
-                        error_msg = str(resolve_error).lower()
-                        is_not_found = "entity not found" in error_msg or "not found" in error_msg
+            # Add optional parameters
+            if section:
+                edit_data["section"] = section
+            if find_text:
+                edit_data["find_text"] = find_text
+            if expected_replacements != 1:  # Only send if different from default
+                edit_data["expected_replacements"] = str(expected_replacements)

-                        if is_not_found and operation in ("append", "prepend"):
-                            title, directory = _parse_identifier_to_title_and_directory(identifier)
+            # Call the PATCH endpoint
+            result = await knowledge_client.patch_entity(entity_id, edit_data, fast=False)

-                            # Validate directory path (same security check as write_note)
-                            project_path = active_project.home
-                            if directory and not validate_project_path(directory, project_path):
-                                logger.warning(
-                                    "Attempted path traversal attack blocked",
-                                    directory=directory,
-                                    project=active_project.name,
-                                )
-                                if output_format == "json":
-                                    return {
-                                        "title": title,
-                                        "permalink": None,
-                                        "file_path": None,
-                                        "checksum": None,
-                                        "operation": operation,
-                                        "fileCreated": False,
-                                        "error": "SECURITY_VALIDATION_ERROR",
-                                    }
-                                return f"# Error\n\nDirectory path '{directory}' is not allowed - paths must stay within project boundaries"
+            # Format summary
+            summary = [
+                f"# Edited note ({operation})",
+                f"project: {active_project.name}",
+                f"file_path: {result.file_path}",
+                f"permalink: {result.permalink}",
+                f"checksum: {result.checksum[:8] if result.checksum else 'unknown'}",
+            ]

-                            entity = Entity(
-                                title=title,
-                                directory=directory,
-                                content_type="text/markdown",
-                                content=content,
-                            )
+            # Add operation-specific details
+            if operation == "append":
+                lines_added = len(content.split("\n"))
+                summary.append(f"operation: Added {lines_added} lines to end of note")
+            elif operation == "prepend":
+                lines_added = len(content.split("\n"))
+                summary.append(f"operation: Added {lines_added} lines to beginning of note")
+            elif operation == "find_replace":
+                # For find_replace, we can't easily count replacements from here
+                # since we don't have the original content, but the server handled it
+                summary.append("operation: Find and replace operation completed")
+            elif operation == "replace_section":
+                summary.append(f"operation: Replaced content under section '{section}'")

-                            logger.info(
-                                "Creating note via edit_note auto-create",
-                                title=title,
-                                directory=directory,
-                                operation=operation,
-                            )
-                            result = await knowledge_client.create_entity(
-                                entity.model_dump(), fast=False
-                            )
-                            file_created = True
-                        else:
-                            # find_replace/replace_section require existing content — re-raise
-                            raise resolve_error
+            # Count observations by category (reuse logic from write_note)
+            categories = {}
+            if result.observations:
+                for obs in result.observations:
+                    categories[obs.category] = categories.get(obs.category, 0) + 1

-                    # --- Standard edit path (entity already existed) ---
-                    if not file_created:
-                        # Prepare the edit request data
-                        edit_data = {
-                            "operation": operation,
-                            "content": content,
-                        }
+                summary.append("\\n## Observations")
+                for category, count in sorted(categories.items()):
+                    summary.append(f"- {category}: {count}")

-                        # Add optional parameters
-                        if section:
-                            edit_data["section"] = section
-                        if find_text:
-                            edit_data["find_text"] = find_text
-                        if effective_replacements != 1:  # Only send if different from default
-                            edit_data["expected_replacements"] = str(effective_replacements)
+            # Count resolved/unresolved relations
+            unresolved = 0
+            resolved = 0
+            if result.relations:
+                unresolved = sum(1 for r in result.relations if not r.to_id)
+                resolved = len(result.relations) - unresolved

-                        # Call the PATCH endpoint
-                        result = await knowledge_client.patch_entity(
-                            entity_id, edit_data, fast=False
-                        )
+                summary.append("\\n## Relations")
+                summary.append(f"- Resolved: {resolved}")
+                if unresolved:
+                    summary.append(f"- Unresolved: {unresolved}")

-                    # --- Format response ---
-                    # result is always set: either by create_entity (auto-create) or patch_entity (edit)
-                    assert result is not None
-                    if file_created:
-                        summary = [
-                            f"# Created note ({operation})",
-                            f"project: {active_project.name}",
-                            f"file_path: {result.file_path}",
-                            f"permalink: {result.permalink}",
-                            f"checksum: {result.checksum[:8] if result.checksum else 'unknown'}",
-                            "fileCreated: true",
-                        ]
-                        lines_added = len(content.split("\n"))
-                        summary.append(f"operation: Created note with {lines_added} lines")
-                    else:
-                        summary = [
-                            f"# Edited note ({operation})",
-                            f"project: {active_project.name}",
-                            f"file_path: {result.file_path}",
-                            f"permalink: {result.permalink}",
-                            f"checksum: {result.checksum[:8] if result.checksum else 'unknown'}",
-                        ]
+            logger.info(
+                "MCP tool response",
+                tool="edit_note",
+                operation=operation,
+                project=active_project.name,
+                permalink=result.permalink,
+                observations_count=len(result.observations),
+                relations_count=len(result.relations),
+            )

-                        # Add operation-specific details
-                        if operation == "append":
-                            lines_added = len(content.split("\n"))
-                            summary.append(f"operation: Added {lines_added} lines to end of note")
-                        elif operation == "prepend":
-                            lines_added = len(content.split("\n"))
-                            summary.append(
-                                f"operation: Added {lines_added} lines to beginning of note"
-                            )
-                        elif operation == "find_replace":
-                            # For find_replace, we can't easily count replacements from here
-                            # since we don't have the original content, but the server handled it
-                            summary.append("operation: Find and replace operation completed")
-                        elif operation == "replace_section":
-                            summary.append(f"operation: Replaced content under section '{section}'")
-                        elif operation == "insert_before_section":
-                            summary.append(
-                                f"operation: Inserted content before section '{section}'"
-                            )
-                        elif operation == "insert_after_section":
-                            summary.append(f"operation: Inserted content after section '{section}'")
+            summary_result = "\n".join(summary)
+            return add_project_metadata(summary_result, active_project.name)

-                    # Count observations by category (reuse logic from write_note)
-                    categories = {}
-                    if result.observations:
-                        for obs in result.observations:
-                            categories[obs.category] = categories.get(obs.category, 0) + 1
-
-                        summary.append("\n## Observations")
-                        for category, count in sorted(categories.items()):
-                            summary.append(f"- {category}: {count}")
-
-                    # Count resolved/unresolved relations
-                    unresolved = 0
-                    resolved = 0
-                    if result.relations:
-                        unresolved = sum(1 for r in result.relations if not r.to_id)
-                        resolved = len(result.relations) - unresolved
-
-                        summary.append("\n## Relations")
-                        summary.append(f"- Resolved: {resolved}")
-                        if unresolved:
-                            summary.append(f"- Unresolved: {unresolved}")
-
-                    logger.info(
-                        f"MCP tool response: tool=edit_note project={active_project.name} "
-                        f"operation={operation} permalink={result.permalink} "
-                        f"observations_count={len(result.observations)} "
-                        f"relations_count={len(result.relations)} "
-                        f"file_created={str(file_created).lower()}"
-                    )
-
-                    if output_format == "json":
-                        return {
-                            "title": result.title,
-                            "permalink": result.permalink,
-                            "file_path": result.file_path,
-                            "checksum": result.checksum,
-                            "operation": operation,
-                            "fileCreated": file_created,
-                        }
-
-                    summary_result = "\n".join(summary)
-                    return add_project_metadata(summary_result, active_project.name)
-
-                except Exception as e:
-                    logger.error(f"Error editing note: {e}")
-                    if output_format == "json":
-                        return {
-                            "title": None,
-                            "permalink": None,
-                            "file_path": None,
-                            "checksum": None,
-                            "operation": operation,
-                            "fileCreated": False,
-                            "error": str(e),
-                        }
-                    return _format_error_response(
-                        str(e),
-                        operation,
-                        identifier,
-                        find_text,
-                        effective_replacements,
-                        active_project.name,
-                    )
+        except Exception as e:
+            logger.error(f"Error editing note: {e}")
+            return _format_error_response(
+                str(e), operation, identifier, find_text, expected_replacements, active_project.name
+            )
@@ -11,14 +11,12 @@ from basic_memory.mcp.server import mcp

@mcp.tool(
    description="List directory contents with filtering and depth control.",
-    annotations={"readOnlyHint": True, "openWorldHint": False},
 )
 async def list_directory(
    dir_name: str = "/",
    depth: int = 1,
    file_name_glob: Optional[str] = None,
    project: Optional[str] = None,
-    workspace: Optional[str] = None,
    context: Context | None = None,
 ) -> str:
    """List directory contents from the knowledge base with optional filtering.
@@ -63,7 +61,7 @@ async def list_directory(
    Raises:
        ToolError: If project doesn't exist or directory path is invalid
    """
-    async with get_project_client(project, workspace, context) as (client, active_project):
+    async with get_project_client(project, context) as (client, active_project):
        logger.debug(
            f"Listing directory '{dir_name}' in project {project} with depth={depth}, glob='{file_name_glob}'"
        )
--- a/Show More
+++ b/Show More