chore(release): 0.4.1 [skip ci]

fix: fix alemic config
Merge branch 'main' of github.com:basicmachines-co/basic-memory
2026-06-21 13:47:35 +00:00 · 2025-02-17 03:29:36 +00:00 · 2025-02-16 21:22:22 -06:00 · 2025-02-16 21:13:44 -06:00 · 2025-02-16 21:13:29 -06:00 · 2025-02-16 19:49:15 +00:00
133 changed files with 5175 additions and 3922 deletions
@@ -0,0 +1,41 @@
+name: "Pull Request Title"
+
+on:
+  pull_request:
+    types:
+      - opened
+      - edited
+      - synchronize
+
+jobs:
+  main:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: amannn/action-semantic-pull-request@v5
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          # Configure allowed types based on what we want in our changelog
+          types: |
+            feat
+            fix
+            chore
+            docs
+            style
+            refactor
+            perf
+            test
+            build
+            ci
+          # Require at least one from scope list (optional)
+          scopes: |
+            core
+            cli
+            api
+            mcp
+            sync
+            ui
+            deps
+            installer
+          # Allow breaking changes (needs "!" after type/scope)
+          requireScopeForBreakingChange: true
@@ -20,6 +20,9 @@ jobs:
    permissions:
      id-token: write
      contents: write
+    outputs:
+      released: ${{ steps.release.outputs.released }}
+      tag: ${{ steps.release.outputs.tag }}

    steps:
      - uses: actions/checkout@v4
@@ -43,4 +46,51 @@ jobs:
        if: steps.release.outputs.released == 'true'
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
-          tag: ${{ steps.release.outputs.tag }}
+          tag: ${{ steps.release.outputs.tag }}
+
+  build-macos:
+    needs: release
+    if: needs.release.outputs.released == 'true'
+    runs-on: macos-latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ needs.release.outputs.tag }}
+
+      - name: Set up Python "3.12"
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.12"
+          cache: 'pip'
+
+      - name: Install librsvg
+        run: brew install librsvg
+
+      - name: Install uv
+        run: |
+          pip install uv
+
+      - name: Create virtual env
+        run: |
+          uv venv
+
+      - name: Install dependencies
+        run: |
+          uv sync
+
+      - name: Build macOS installer
+        run: |
+          make installer-mac
+          xattr -dr com.apple.quarantine "installer/build/Basic Memory Installer.app"
+
+      - name: Zip macOS installer
+        run: |
+          cd installer/build
+          zip -ry "Basic-Memory-Installer-${{ needs.release.outputs.tag }}.zip" "Basic Memory Installer.app"
+
+      - name: Upload macOS installer
+        uses: softprops/action-gh-release@v1
+        with:
+          files: installer/build/Basic-Memory-Installer-${{ needs.release.outputs.tag }}.zip
+          tag_name: ${{ needs.release.outputs.tag }}
+          token: ${{ secrets.GITHUB_TOKEN }}
@@ -37,6 +37,10 @@ jobs:
        run: |
          uv pip install -e .[dev]

+      - name: Run type checks
+        run: |
+          uv run make type-check
+
      - name: Run tests
        run: |
          uv pip install pytest pytest-cov
@@ -1,8 +1,10 @@
-# Python
-__pycache__/
 *.py[cod]
-*$py.class
-*.so
+__pycache__/
+.pytest_cache/
+.coverage
+htmlcov/
+
+# Distribution / packaging
 .Python
 build/
 develop-eggs/
@@ -20,7 +22,12 @@ wheels/
 .installed.cfg
 *.egg

-# Virtual Environment
+# Installer artifacts
+installer/build/
+installer/dist/
+rw.*.dmg  # Temporary disk images
+
+# Virtual environments
 .env
 .venv
 env/
@@ -30,13 +37,9 @@ ENV/
 # IDE
 .idea/
 .vscode/
+*.swp
+*.swo

-# Project specific
-projects/*.db
-projects/*.db-journal
-/.coverage
-
-**/.DS_Store
-
-*.log
+# macOS
+.DS_Store
 /.coverage.*
@@ -1,6 +1,249 @@
 # CHANGELOG


+## v0.4.1 (2025-02-17)
+
+### Bug Fixes
+
+- Fix alemic config
+  ([`71de8ac`](https://github.com/basicmachines-co/basic-memory/commit/71de8acfd0902fc60f27deb3638236a3875787ab))
+
+
+## v0.4.0 (2025-02-16)
+
+### Features
+
+- Import chatgpt conversation data ([#9](https://github.com/basicmachines-co/basic-memory/pull/9),
+  [`56f47d6`](https://github.com/basicmachines-co/basic-memory/commit/56f47d6812982437f207629e6ac9a82e0e56514e))
+
+Co-authored-by: phernandez <phernandez@basicmachines.co>
+
+- Import claude.ai data ([#8](https://github.com/basicmachines-co/basic-memory/pull/8),
+  [`a15c346`](https://github.com/basicmachines-co/basic-memory/commit/a15c346d5ebd44344b76bad877bb4d1073fcbc3b))
+
+Import Claude.ai conversation and project data to basic-memory Markdown format.
+
+---------
+
+Co-authored-by: phernandez <phernandez@basicmachines.co>
+
+
+## v0.3.0 (2025-02-15)
+
+### Bug Fixes
+
+- Refactor db schema migrate handling
+  ([`ca632be`](https://github.com/basicmachines-co/basic-memory/commit/ca632beb6fed5881f4d8ba5ce698bb5bc681e6aa))
+
+
+## v0.2.21 (2025-02-15)
+
+### Bug Fixes
+
+- Fix osx installer github action
+  ([`65ebe5d`](https://github.com/basicmachines-co/basic-memory/commit/65ebe5d19491e5ff047c459d799498ad5dd9cd1a))
+
+- Handle memory:// url format in read_note tool
+  ([`e080373`](https://github.com/basicmachines-co/basic-memory/commit/e0803734e69eeb6c6d7432eea323c7a264cb8347))
+
+- Remove create schema from init_db
+  ([`674dd1f`](https://github.com/basicmachines-co/basic-memory/commit/674dd1fd47be9e60ac17508476c62254991df288))
+
+### Features
+
+- Set version in var, output version at startup
+  ([`a91da13`](https://github.com/basicmachines-co/basic-memory/commit/a91da1396710e62587df1284da00137d156fc05e))
+
+
+## v0.2.20 (2025-02-14)
+
+### Bug Fixes
+
+- Fix installer artifact
+  ([`8de84c0`](https://github.com/basicmachines-co/basic-memory/commit/8de84c0221a1ee32780aa84dac4d3ea60895e05c))
+
+
+## v0.2.19 (2025-02-14)
+
+### Bug Fixes
+
+- Get app artifact for installer
+  ([`fe8c3d8`](https://github.com/basicmachines-co/basic-memory/commit/fe8c3d87b003166252290a87cbe958301cccf797))
+
+
+## v0.2.18 (2025-02-14)
+
+### Bug Fixes
+
+- Don't zip app on release
+  ([`8664c57`](https://github.com/basicmachines-co/basic-memory/commit/8664c57bb331d7f3f7e0239acb5386c7a3c6144e))
+
+
+## v0.2.17 (2025-02-14)
+
+### Bug Fixes
+
+- Fix app zip in installer release
+  ([`8fa197e`](https://github.com/basicmachines-co/basic-memory/commit/8fa197e2ec8a1b6caaf6dbb39c3c6626bba23e2e))
+
+
+## v0.2.16 (2025-02-14)
+
+### Bug Fixes
+
+- Debug inspect build on ci
+  ([`1d6054d`](https://github.com/basicmachines-co/basic-memory/commit/1d6054d30a477a4e6a5d6ac885632e50c01945d3))
+
+
+## v0.2.15 (2025-02-14)
+
+### Bug Fixes
+
+- Debug installer ci
+  ([`dab9573`](https://github.com/basicmachines-co/basic-memory/commit/dab957314aec9ed0e12abca2265552494ae733a2))
+
+
+## v0.2.14 (2025-02-14)
+
+
+## v0.2.13 (2025-02-14)
+
+### Bug Fixes
+
+- Refactor release.yml installer
+  ([`a152657`](https://github.com/basicmachines-co/basic-memory/commit/a15265783e47c22d8c7931396281d023b3694e27))
+
+- Try using symlinks in installer build
+  ([`8dd923d`](https://github.com/basicmachines-co/basic-memory/commit/8dd923d5bc0587276f92b5f1db022ad9c8687e45))
+
+
+## v0.2.12 (2025-02-14)
+
+### Bug Fixes
+
+- Fix cx_freeze options for installer
+  ([`854cf83`](https://github.com/basicmachines-co/basic-memory/commit/854cf8302e2f83578030db05e29b8bdc4348795a))
+
+
+## v0.2.11 (2025-02-14)
+
+### Bug Fixes
+
+- Ci installer app fix #37
+  ([`2e215fe`](https://github.com/basicmachines-co/basic-memory/commit/2e215fe83ca421b921186c7f1989dc2cb5cca278))
+
+
+## v0.2.10 (2025-02-14)
+
+### Bug Fixes
+
+- Fix build on github ci for app installer
+  ([`29a2594`](https://github.com/basicmachines-co/basic-memory/commit/29a259421a0ccb10cfa68e3707eaa506ad5e55c0))
+
+
+## v0.2.9 (2025-02-14)
+
+
+## v0.2.8 (2025-02-14)
+
+### Bug Fixes
+
+- Fix installer on ci, maybe
+  ([`edbc04b`](https://github.com/basicmachines-co/basic-memory/commit/edbc04be601d234bb1f5eb3ba24d6ad55244b031))
+
+
+## v0.2.7 (2025-02-14)
+
+### Bug Fixes
+
+- Try to fix installer ci
+  ([`230738e`](https://github.com/basicmachines-co/basic-memory/commit/230738ee9c110c0509e0a09cb0e101a92cfcb729))
+
+
+## v0.2.6 (2025-02-14)
+
+### Bug Fixes
+
+- Bump project patch version
+  ([`01d4672`](https://github.com/basicmachines-co/basic-memory/commit/01d46727b40c24b017ea9db4b741daef565ac73e))
+
+- Fix installer setup.py change ci to use make
+  ([`3e78fcc`](https://github.com/basicmachines-co/basic-memory/commit/3e78fcc2c208d83467fe7199be17174d7ffcad1a))
+
+
+## v0.2.5 (2025-02-14)
+
+### Bug Fixes
+
+- Refix vitual env in installer build
+  ([`052f491`](https://github.com/basicmachines-co/basic-memory/commit/052f491fff629e8ead629c9259f8cb46c608d584))
+
+
+## v0.2.4 (2025-02-14)
+
+
+## v0.2.3 (2025-02-14)
+
+### Bug Fixes
+
+- Workaround unsigned app
+  ([`41d4d81`](https://github.com/basicmachines-co/basic-memory/commit/41d4d81c1ad1dc2923ba0e903a57454a0c8b6b5c))
+
+
+## v0.2.2 (2025-02-14)
+
+### Bug Fixes
+
+- Fix path to intaller app artifact
+  ([`53d220d`](https://github.com/basicmachines-co/basic-memory/commit/53d220df585561f9edd0d49a9e88f1d4055059cf))
+
+
+## v0.2.1 (2025-02-14)
+
+### Bug Fixes
+
+- Activate vitualenv in installer build
+  ([`d4c8293`](https://github.com/basicmachines-co/basic-memory/commit/d4c8293687a52eaf3337fe02e2f7b80e4cc9a1bb))
+
+- Trigger installer build on release
+  ([`f11bf78`](https://github.com/basicmachines-co/basic-memory/commit/f11bf78f3f600d0e1b01996cf8e1f9c39e3dd218))
+
+
+## v0.2.0 (2025-02-14)
+
+### Features
+
+- Build installer via github action ([#7](https://github.com/basicmachines-co/basic-memory/pull/7),
+  [`7c381a5`](https://github.com/basicmachines-co/basic-memory/commit/7c381a59c962053c78da096172e484f28ab47e96))
+
+* feat(ci): build installer via github action
+
+* enforce conventional commits in PR titles
+
+* feat: add icon to installer
+
+---------
+
+Co-authored-by: phernandez <phernandez@basicmachines.co>
+
+
+## v0.1.2 (2025-02-14)
+
+### Bug Fixes
+
+- Fix installer for mac
+  ([`dde9ff2`](https://github.com/basicmachines-co/basic-memory/commit/dde9ff228b72852b5abc58faa1b5e7c6f8d2c477))
+
+- Remove unused FileChange dataclass
+  ([`eb3360c`](https://github.com/basicmachines-co/basic-memory/commit/eb3360cc221f892b12a17137ae740819d48248e8))
+
+- Update uv installer url
+  ([`2f9178b`](https://github.com/basicmachines-co/basic-memory/commit/2f9178b0507b3b69207d5c80799f2d2f573c9a04))
+
+
+## v0.1.1 (2025-02-07)
+
+
 ## v0.1.0 (2025-02-07)

 ### Bug Fixes
@@ -17,6 +260,9 @@
 - Install fastapi deps after removing basic-foundation
  ([`51a741e`](https://github.com/basicmachines-co/basic-memory/commit/51a741e7593a1ea0e5eb24e14c70ff61670f9663))

+- Recreate search index on db reset
+  ([`1fee436`](https://github.com/basicmachines-co/basic-memory/commit/1fee436bf903a35c9ebb7d87607fc9cc9f5ff6e7))
+
 - Remove basic-foundation from deps
  ([`b8d0c71`](https://github.com/basicmachines-co/basic-memory/commit/b8d0c7160f29c97cdafe398a7e6a5240473e0c89))

@@ -1,39 +1,43 @@
-.PHONY: install test lint db-new db-up db-down db-reset
+.PHONY: install test lint clean format type-check installer-mac installer-win

 install:
-	brew install dbmate
 	pip install -e ".[dev]"

 test:
 	pytest -p pytest_mock -v

 lint:
-	black .
-	ruff check .
+	ruff check . --fix

-db-new:
-	dbmate new $(name)
-
-db-up:
-	dbmate up
-
-db-down:
-	dbmate down
-
-db-reset:
-	dbmate drop
-	dbmate up
+type-check:
+	uv run pyright

 clean:
 	find . -type f -name '*.pyc' -delete
 	find . -type d -name '__pycache__' -exec rm -r {} +
+	rm -rf installer/build/
+	rm -rf installer/dist/
+	rm -f rw.*.dmg
+	rm -rf dist
+	rm -rf installer/build
+	rm -rf installer/dist
+	rm -f .coverage.*

 format:
 	uv run ruff format .

-format: format-python
-#format: format-python format-prettier
-
 # run inspector tool
 run-dev:
-	uv run mcp dev src/basic_memory/mcp/main.py
+	uv run mcp dev src/basic_memory/mcp/main.py
+
+# Build app installer
+installer-mac:
+	cd installer && chmod +x make_icons.sh && ./make_icons.sh
+	cd installer && uv run python setup.py bdist_mac
+
+installer-win:
+	cd installer && uv run python setup.py bdist_win32
+
+
+update-deps:
+	uv lock f--upgrade
@@ -253,6 +253,92 @@ Basic Memory is built on some key ideas:
 - Simple text patterns can capture rich meaning
 - Local-first doesn't mean feature-poor

+## Importing data
+
+Basic memory has cli commands to import data from several formats into Markdown files
+
+### Claude.ai
+
+First, request an export of your data from your Claude account. The data will be emailed to you in several files,
+including
+`conversations.json` and `projects.json`.
+
+Import Claude.ai conversation data
+
+```bash
+ basic-memory import claude conversations 
+```
+
+The conversations will be turned into Markdown files and placed in the "conversations" folder by default (this can be
+changed with the --folder arg).
+
+Example:
+
+```bash
+Importing chats from conversations.json...writing to .../basic-memory
+  Reading chat data... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100%
+╭────────────────────────────╮
+│ Import complete!           │
+│                            │
+│ Imported 307 conversations │
+│ Containing 7769 messages   │
+╰────────────────────────────╯
+```
+
+Next, you can run the `sync` command to import the data into basic-memory
+
+```bash
+basic-memory sync
+```
+
+You can also import project data from Claude.ai
+
+```bash 
+➜  basic-memory import claude projects
+Importing projects from projects.json...writing to .../basic-memory/projects
+  Reading project data... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100%
+╭────────────────────────────────╮
+│ Import complete!               │
+│                                │
+│ Imported 101 project documents │
+│ Imported 32 prompt templates   │
+╰────────────────────────────────╯
+
+Run 'basic-memory sync' to index the new files.
+```
+
+### Chat Gpt
+
+```bash
+ ➜  basic-memory import chatgpt
+Importing chats from conversations.json...writing to .../basic-memory/conversations
+
+  Reading chat data... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100%
+╭────────────────────────────╮
+│ Import complete!           │
+│                            │
+│ Imported 198 conversations │
+│ Containing 11777 messages  │
+╰────────────────────────────╯
+
+
+```
+
+### Memory json
+
+```bash
+➜  basic-memory import memory-json
+Importing from memory.json...writing to .../basic-memory
+  Reading memory.json... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100%
+  Creating entities...   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100%
+╭──────────────────────╮
+│ Import complete!     │
+│                      │
+│ Created 126 entities │
+│ Added 252 relations  │
+╰──────────────────────╯
+```
+
 ## License

 AGPL-3.0
@@ -0,0 +1,26 @@
+# Basic Memory Installer
+
+This installer configures Basic Memory to work with Claude Desktop.
+
+## Installation
+
+1. Download the latest installer from the [releases page](https://github.com/basicmachines-co/basic-memory/releases)
+2. Unzip the downloaded file
+3. Since the app is currently unsigned, you'll need to:
+
+   On your Mac, choose Apple menu  > System Settings, then click Privacy & Security in the sidebar. (You may need to
+   scroll down.)
+
+   Go to Security, then click Open.
+
+   Click Open Anyway.
+
+   This button is available for about an hour after you try to open the app.
+
+   Enter your login password, then click OK.
+
+   https://support.apple.com/guide/mac-help/apple-cant-check-app-for-malicious-software-mchleab3a043/mac
+
+5. Restart Claude Desktop
+
+The warning only appears the first time you open the app. Future updates will include proper code signing.
@@ -0,0 +1,64 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg viewBox="0 0 512 512" xmlns="http://www.w3.org/2000/svg">
+  <!-- Background -->
+  <rect x="0" y="0" width="512" height="512" rx="64" fill="#111111"/>
+
+  <!-- Define arrowhead marker -->
+  <defs>
+    <marker id="arrowhead" 
+            markerWidth="10" 
+            markerHeight="10" 
+            refX="8" 
+            refY="5"
+            orient="auto">
+      <path d="M 0 0 L 10 5 L 0 10 Z" 
+            fill="#00cc00"/>
+    </marker>
+  </defs>
+  
+  <!-- State 1 (initial) -->
+  <circle cx="156" cy="256" r="30" fill="none" stroke="#00cc00" stroke-width="3"/>
+  
+  <!-- State 2 (accept) -->
+  <circle cx="356" cy="176" r="34" fill="none" stroke="#00cc00" stroke-width="3"/>
+  <circle cx="356" cy="176" r="28" fill="none" stroke="#00cc00" stroke-width="3"/>
+  
+  <!-- State 3 (accept) -->
+  <circle cx="356" cy="336" r="34" fill="none" stroke="#00cc00" stroke-width="3"/>
+  <circle cx="356" cy="336" r="28" fill="none" stroke="#00cc00" stroke-width="3"/>
+
+  <!-- Initial arrow -->
+  <path d="M 96 256 L 126 256" 
+        stroke="#00cc00" stroke-width="3" fill="none"
+        marker-end="url(#arrowhead)"/>
+
+  <!-- State transitions -->
+  <!-- 1 -> 2 -->
+  <path d="M 180 240
+           Q 260 200, 320 176" 
+        stroke="#00cc00" stroke-width="3" fill="none"
+        marker-end="url(#arrowhead)"/>
+        
+  <!-- 1 -> 3 -->
+  <path d="M 180 272
+           Q 260 312, 320 336" 
+        stroke="#00cc00" stroke-width="3" fill="none"
+        marker-end="url(#arrowhead)"/>
+
+  <!-- Self loops -->
+  <path d="M 356 142
+           Q 396 142, 396 176
+           Q 396 210, 356 210
+           Q 316 210, 316 176
+           Q 316 142, 356 142" 
+        stroke="#00cc00" stroke-width="2" fill="none"
+        marker-end="url(#arrowhead)"/>
+        
+  <path d="M 356 302
+           Q 396 302, 396 336
+           Q 396 370, 356 370
+           Q 316 370, 316 336
+           Q 316 302, 356 302" 
+        stroke="#00cc00" stroke-width="2" fill="none"
+        marker-end="url(#arrowhead)"/>
+</svg>
@@ -0,0 +1,90 @@
+import json
+import subprocess
+import sys
+from pathlib import Path
+
+# Use tkinter for GUI alerts on macOS
+if sys.platform == "darwin":
+    import tkinter as tk
+    from tkinter import messagebox
+
+
+def ensure_uv_installed():
+    """Check if uv is installed, install if not."""
+    try:
+        subprocess.run(["uv", "--version"], capture_output=True, check=True)
+    except (subprocess.CalledProcessError, FileNotFoundError):
+        print("Installing uv package manager...")
+        subprocess.run(
+            [
+                "curl",
+                "-LsSf",
+                "https://astral.sh/uv/install.sh",
+                "|",
+                "sh",
+            ],
+            shell=True,
+        )
+
+
+def get_config_path():
+    """Get Claude Desktop config path for current platform."""
+    if sys.platform == "darwin":
+        return Path.home() / "Library/Application Support/Claude/claude_desktop_config.json"
+    elif sys.platform == "win32":
+        return Path.home() / "AppData/Roaming/Claude/claude_desktop_config.json"
+    else:
+        raise RuntimeError(f"Unsupported platform: {sys.platform}")
+
+
+def update_claude_config():
+    """Update Claude Desktop config to include basic-memory."""
+    config_path = get_config_path()
+    config_path.parent.mkdir(parents=True, exist_ok=True)
+
+    # Load existing config or create new
+    if config_path.exists():
+        config = json.loads(config_path.read_text())
+    else:
+        config = {"mcpServers": {}}
+
+    # Add/update basic-memory config
+    config["mcpServers"]["basic-memory"] = {"command": "uvx", "args": ["basic-memory", "mcp"]}
+
+    # Write back config
+    config_path.write_text(json.dumps(config, indent=2))
+
+
+def print_completion_message():
+    """Show completion message with helpful tips."""
+    message = """Installation complete! Basic Memory is now available in Claude Desktop.
+
+Please restart Claude Desktop for changes to take effect.
+
+Quick Start:
+1. You can run sync directly using: uvx basic-memory sync
+2. Optionally, install globally with: uv pip install basic-memory
+
+Built with ♥️ by Basic Machines."""
+
+    if sys.platform == "darwin":
+        # Show GUI message on macOS
+        root = tk.Tk()
+        root.withdraw()  # Hide the main window
+        messagebox.showinfo("Basic Memory", message)
+        root.destroy()
+    else:
+        # Fallback to console output
+        print(message)
+
+
+def main():
+    print("Welcome to Basic Memory installer")
+    ensure_uv_installed()
+    print("Configuring Claude Desktop...")
+    update_claude_config()
+    print_completion_message()
+
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,27 @@
+#!/bin/bash
+
+# Convert SVG to PNG at various required sizes
+rsvg-convert -h 16 -w 16 icon.svg > icon_16x16.png
+rsvg-convert -h 32 -w 32 icon.svg > icon_32x32.png
+rsvg-convert -h 128 -w 128 icon.svg > icon_128x128.png
+rsvg-convert -h 256 -w 256 icon.svg > icon_256x256.png
+rsvg-convert -h 512 -w 512 icon.svg > icon_512x512.png
+
+# Create iconset directory
+mkdir -p Basic.iconset
+
+# Move files into iconset with Mac-specific names
+cp icon_16x16.png Basic.iconset/icon_16x16.png
+cp icon_32x32.png Basic.iconset/icon_16x16@2x.png
+cp icon_32x32.png Basic.iconset/icon_32x32.png
+cp icon_128x128.png Basic.iconset/icon_32x32@2x.png
+cp icon_256x256.png Basic.iconset/icon_128x128.png
+cp icon_512x512.png Basic.iconset/icon_256x256.png
+cp icon_512x512.png Basic.iconset/icon_512x512.png
+
+# Convert iconset to icns
+iconutil -c icns Basic.iconset
+
+# Clean up
+rm -rf Basic.iconset
+rm icon_*.png
@@ -0,0 +1,40 @@
+from cx_Freeze import setup, Executable
+import sys
+
+# Build options for all platforms
+build_exe_options = {
+    "packages": ["json", "pathlib"],
+    "excludes": ["unittest", "pydoc", "test"],
+}
+
+# Platform-specific options
+if sys.platform == "win32":
+    base = "Win32GUI"  # Use GUI base for Windows
+    build_exe_options.update(
+        {
+            "include_msvcr": True,
+        }
+    )
+    target_name = "Basic Memory Installer.exe"
+else:  # darwin
+    base = None  # Don't use GUI base for macOS
+    target_name = "Basic Memory Installer"
+
+executables = [
+    Executable(script="installer.py", target_name=target_name, base=base, icon="Basic.icns")
+]
+
+setup(
+    name="basic-memory",
+    version=open("../pyproject.toml").read().split('version = "', 1)[1].split('"', 1)[0],
+    description="Basic Memory - Local-first knowledge management",
+    options={
+        "build_exe": build_exe_options,
+        "bdist_mac": {
+            "bundle_name": "Basic Memory Installer",
+            "iconfile": "Basic.icns",
+            "codesign_identity": "-",  # Force ad-hoc signing
+        },
+    },
+    executables=executables,
+)
@@ -1,6 +1,6 @@
 [project]
 name = "basic-memory"
-version = "0.1.0"
+version = "0.4.1"
 description = "Local-first knowledge management combining Zettelkasten with knowledge graphs"
 readme = "README.md"
 requires-python = ">=3.12.1"
@@ -28,16 +28,9 @@ dependencies = [
    "watchfiles>=1.0.4",
    "fastapi[standard]>=0.115.8",
    "alembic>=1.14.1",
+    "qasync>=0.27.1",
 ]

-[project.optional-dependencies]
-dev = [
-    "pytest>=8.3.4",
-    "pytest-cov>=4.1.0",
-    "pytest-mock>=3.12.0",
-    "pytest-asyncio>=0.24.0",
-    "ruff>=0.1.6",
-]

 [project.urls]
 Homepage = "https://github.com/basicmachines-co/basic-memory"
@@ -64,10 +57,22 @@ target-version = "py312"

 [tool.uv]
 dev-dependencies = [
+    "gevent>=24.11.1",
    "icecream>=2.1.3",
+    "pytest>=8.3.4",
+    "pytest-cov>=4.1.0",
+    "pytest-mock>=3.12.0",
+    "pytest-asyncio>=0.24.0",
+    "ruff>=0.1.6",
+    "pytest>=8.3.4",
+    "pytest-cov>=4.1.0",
+    "pytest-mock>=3.12.0",
+    "pytest-asyncio>=0.24.0",
+    "ruff>=0.1.6",
+    "cx-freeze>=7.2.10",
+    "pyqt6>=6.8.1",
 ]

-
 [tool.pyright]
 include = ["src/"]
 exclude = ["**/__pycache__"]
@@ -79,7 +84,9 @@ pythonVersion = "3.12"


 [tool.semantic_release]
-version_variable = "src/basic_memory/__init__.py:__version__"
+version_variables = [
+    "src/basic_memory/__init__.py:__version__",
+]
 version_toml = [
    "pyproject.toml:project.version",
 ]
@@ -91,3 +98,5 @@ dist_path = "dist/"
 upload_to_pypi = true
 commit_message = "chore(release): {version} [skip ci]"

+[tool.coverage.run]
+concurrency = ["thread", "gevent"]
@@ -0,0 +1,36 @@
+#!/bin/bash
+set -e
+
+echo "Welcome to Basic Memory installer"
+
+# 1. Install uv if not present
+if ! command -v uv &> /dev/null; then
+    echo "Installing uv package manager..."
+    curl -LsSf https://github.com/astral-sh/uv/releases/download/0.1.23/uv-installer.sh | sh
+fi
+
+# 2. Configure Claude Desktop
+echo "Configuring Claude Desktop..."
+CONFIG_FILE="$HOME/Library/Application Support/Claude/claude_desktop_config.json"
+
+# Create config directory if it doesn't exist
+mkdir -p "$(dirname "$CONFIG_FILE")"
+
+# If config file doesn't exist, create it with initial structure
+if [ ! -f "$CONFIG_FILE" ]; then
+    echo '{"mcpServers": {}}' > "$CONFIG_FILE"
+fi
+
+# Add/update the basic-memory config using jq
+jq '.mcpServers."basic-memory" = {
+    "command": "uvx",
+    "args": ["basic-memory"]
+}' "$CONFIG_FILE" > "$CONFIG_FILE.tmp" && mv "$CONFIG_FILE.tmp" "$CONFIG_FILE"
+
+echo "Installation complete! Basic Memory is now available in Claude Desktop."
+echo "Please restart Claude Desktop for changes to take effect."
+
+echo -e "\nQuick Start:"
+echo "1. You can run sync directly using: uvx basic-memory sync"
+echo "2. Optionally, install globally with: uv pip install basic-memory"
+echo -e "\nBuilt with ♥️ by Basic Machines."
@@ -1,3 +1,3 @@
 """basic-memory - Local-first knowledge management combining Zettelkasten with knowledge graphs"""

-__version__ = "0.0.1"
+__version__ = "0.4.1"
@@ -0,0 +1 @@
+Generic single-database configuration.
@@ -0,0 +1,75 @@
+"""Alembic environment configuration."""
+
+from logging.config import fileConfig
+
+from sqlalchemy import engine_from_config
+from sqlalchemy import pool
+
+from alembic import context
+
+from basic_memory.models import Base
+from basic_memory.config import config as app_config
+
+# this is the Alembic Config object, which provides
+# access to the values within the .ini file in use.
+config = context.config
+
+# Set the SQLAlchemy URL from our app config
+sqlalchemy_url = f"sqlite:///{app_config.database_path}"
+config.set_main_option("sqlalchemy.url", sqlalchemy_url)
+
+# Interpret the config file for Python logging.
+if config.config_file_name is not None:
+    fileConfig(config.config_file_name)
+
+# add your model's MetaData object here
+# for 'autogenerate' support
+target_metadata = Base.metadata
+
+
+def run_migrations_offline() -> None:
+    """Run migrations in 'offline' mode.
+
+    This configures the context with just a URL
+    and not an Engine, though an Engine is acceptable
+    here as well.  By skipping the Engine creation
+    we don't even need a DBAPI to be available.
+
+    Calls to context.execute() here emit the given string to the
+    script output.
+    """
+    url = config.get_main_option("sqlalchemy.url")
+    context.configure(
+        url=url,
+        target_metadata=target_metadata,
+        literal_binds=True,
+        dialect_opts={"paramstyle": "named"},
+    )
+
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def run_migrations_online() -> None:
+    """Run migrations in 'online' mode.
+
+    In this scenario we need to create an Engine
+    and associate a connection with the context.
+    """
+    connectable = engine_from_config(
+        config.get_section(config.config_ini_section, {}),
+        prefix="sqlalchemy.",
+        poolclass=pool.NullPool,
+    )
+
+    with connectable.connect() as connection:
+        context.configure(connection=connection, target_metadata=target_metadata)
+
+        with context.begin_transaction():
+            context.run_migrations()
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()
@@ -0,0 +1,29 @@
+"""Functions for managing database migrations."""
+
+import asyncio
+from pathlib import Path
+from loguru import logger
+from alembic.config import Config
+from alembic import command
+
+
+def get_alembic_config() -> Config:  # pragma: no cover
+    """Get alembic config with correct paths."""
+    migrations_path = Path(__file__).parent
+    alembic_ini = migrations_path.parent.parent.parent / "alembic.ini"
+
+    config = Config(alembic_ini)
+    config.set_main_option("script_location", str(migrations_path))
+    return config
+
+
+async def reset_database():  # pragma: no cover
+    """Drop and recreate all tables."""
+    logger.info("Resetting database...")
+    config = get_alembic_config()
+
+    def _reset(cfg):
+        command.downgrade(cfg, "base")
+        command.upgrade(cfg, "head")
+
+    await asyncio.get_event_loop().run_in_executor(None, _reset, config)
@@ -0,0 +1,26 @@
+"""${message}
+
+Revision ID: ${up_revision}
+Revises: ${down_revision | comma,n}
+Create Date: ${create_date}
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+${imports if imports else ""}
+
+# revision identifiers, used by Alembic.
+revision: str = ${repr(up_revision)}
+down_revision: Union[str, None] = ${repr(down_revision)}
+branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
+depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
+
+
+def upgrade() -> None:
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+    ${downgrades if downgrades else "pass"}
@@ -0,0 +1,93 @@
+"""initial schema
+
+Revision ID: 3dae7c7b1564
+Revises:
+Create Date: 2025-02-12 21:23:00.336344
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = "3dae7c7b1564"
+down_revision: Union[str, None] = None
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        "entity",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("title", sa.String(), nullable=False),
+        sa.Column("entity_type", sa.String(), nullable=False),
+        sa.Column("entity_metadata", sa.JSON(), nullable=True),
+        sa.Column("content_type", sa.String(), nullable=False),
+        sa.Column("permalink", sa.String(), nullable=False),
+        sa.Column("file_path", sa.String(), nullable=False),
+        sa.Column("checksum", sa.String(), nullable=True),
+        sa.Column("created_at", sa.DateTime(), nullable=False),
+        sa.Column("updated_at", sa.DateTime(), nullable=False),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("permalink", name="uix_entity_permalink"),
+    )
+    op.create_index("ix_entity_created_at", "entity", ["created_at"], unique=False)
+    op.create_index(op.f("ix_entity_file_path"), "entity", ["file_path"], unique=True)
+    op.create_index(op.f("ix_entity_permalink"), "entity", ["permalink"], unique=True)
+    op.create_index("ix_entity_title", "entity", ["title"], unique=False)
+    op.create_index("ix_entity_type", "entity", ["entity_type"], unique=False)
+    op.create_index("ix_entity_updated_at", "entity", ["updated_at"], unique=False)
+    op.create_table(
+        "observation",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("entity_id", sa.Integer(), nullable=False),
+        sa.Column("content", sa.Text(), nullable=False),
+        sa.Column("category", sa.String(), nullable=False),
+        sa.Column("context", sa.Text(), nullable=True),
+        sa.Column("tags", sa.JSON(), server_default="[]", nullable=True),
+        sa.ForeignKeyConstraint(["entity_id"], ["entity.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_index("ix_observation_category", "observation", ["category"], unique=False)
+    op.create_index("ix_observation_entity_id", "observation", ["entity_id"], unique=False)
+    op.create_table(
+        "relation",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("from_id", sa.Integer(), nullable=False),
+        sa.Column("to_id", sa.Integer(), nullable=True),
+        sa.Column("to_name", sa.String(), nullable=False),
+        sa.Column("relation_type", sa.String(), nullable=False),
+        sa.Column("context", sa.Text(), nullable=True),
+        sa.ForeignKeyConstraint(["from_id"], ["entity.id"], ondelete="CASCADE"),
+        sa.ForeignKeyConstraint(["to_id"], ["entity.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("from_id", "to_id", "relation_type", name="uix_relation"),
+    )
+    op.create_index("ix_relation_from_id", "relation", ["from_id"], unique=False)
+    op.create_index("ix_relation_to_id", "relation", ["to_id"], unique=False)
+    op.create_index("ix_relation_type", "relation", ["relation_type"], unique=False)
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_index("ix_relation_type", table_name="relation")
+    op.drop_index("ix_relation_to_id", table_name="relation")
+    op.drop_index("ix_relation_from_id", table_name="relation")
+    op.drop_table("relation")
+    op.drop_index("ix_observation_entity_id", table_name="observation")
+    op.drop_index("ix_observation_category", table_name="observation")
+    op.drop_table("observation")
+    op.drop_index("ix_entity_updated_at", table_name="entity")
+    op.drop_index("ix_entity_type", table_name="entity")
+    op.drop_index("ix_entity_title", table_name="entity")
+    op.drop_index(op.f("ix_entity_permalink"), table_name="entity")
+    op.drop_index(op.f("ix_entity_file_path"), table_name="entity")
+    op.drop_index("ix_entity_created_at", table_name="entity")
+    op.drop_table("entity")
+    # ### end Alembic commands ###
@@ -1,4 +1,5 @@
 """Basic Memory API module."""
+
 from .app import app

-__all__ = ["app"]
+__all__ = ["app"]
@@ -6,41 +6,22 @@ from fastapi import FastAPI, HTTPException
 from fastapi.exception_handlers import http_exception_handler
 from loguru import logger

+import basic_memory
 from basic_memory import db
+from basic_memory.config import config as app_config
 from basic_memory.api.routers import knowledge, search, memory, resource
-from basic_memory.config import config
-from basic_memory.services import DatabaseService


@asynccontextmanager
-async def lifespan(app: FastAPI):
+async def lifespan(app: FastAPI):  # pragma: no cover
    """Lifecycle manager for the FastAPI app."""
-    logger.info("Starting Basic Memory API")
-    
-    # check the db state
-    await check_db(app)
+    logger.info(f"Starting Basic Memory API {basic_memory.__version__}")
+    await db.run_migrations(app_config)
    yield
    logger.info("Shutting down Basic Memory API")
    await db.shutdown_db()


-async def check_db(app: FastAPI):
-    logger.info("Checking database state")
-
-    # Initialize DB management service
-    db_service = DatabaseService(
-        config=config,
-    )
-
-    # Check and initialize DB if needed
-    if not await db_service.check_db():
-        raise RuntimeError("Database initialization failed")
-
-    # Clean up old backups on shutdown
-    await db_service.cleanup_backups()
-
-
-
 # Initialize FastAPI app
 app = FastAPI(
    title="Basic Memory API",
@@ -57,7 +38,7 @@ app.include_router(resource.router)


@app.exception_handler(Exception)
-async def exception_handler(request, exc):
+async def exception_handler(request, exc):  # pragma: no cover
    logger.exception(
        f"An unhandled exception occurred for request '{request.url}', exception: {exc}"
    )
@@ -17,7 +17,7 @@ from basic_memory.schemas import (
    DeleteEntitiesResponse,
    DeleteEntitiesRequest,
 )
-from basic_memory.schemas.base import PathId, Entity
+from basic_memory.schemas.base import Permalink, Entity
 from basic_memory.services.exceptions import EntityNotFoundError

 router = APIRouter(prefix="/knowledge", tags=["knowledge"])
@@ -27,10 +27,10 @@ router = APIRouter(prefix="/knowledge", tags=["knowledge"])

@router.post("/entities", response_model=EntityResponse)
 async def create_entity(
-        data: Entity,
-        background_tasks: BackgroundTasks,
-        entity_service: EntityServiceDep,
-        search_service: SearchServiceDep,
+    data: Entity,
+    background_tasks: BackgroundTasks,
+    entity_service: EntityServiceDep,
+    search_service: SearchServiceDep,
 ) -> EntityResponse:
    """Create an entity."""
    logger.info(f"request: create_entity with data={data}")
@@ -47,12 +47,12 @@ async def create_entity(

@router.put("/entities/{permalink:path}", response_model=EntityResponse)
 async def create_or_update_entity(
-        permalink: PathId,
-        data: Entity,
-        response: Response,
-        background_tasks: BackgroundTasks,
-        entity_service: EntityServiceDep,
-        search_service: SearchServiceDep,
+    permalink: Permalink,
+    data: Entity,
+    response: Response,
+    background_tasks: BackgroundTasks,
+    entity_service: EntityServiceDep,
+    search_service: SearchServiceDep,
 ) -> EntityResponse:
    """Create or update an entity. If entity exists, it will be updated, otherwise created."""
    logger.info(f"request: create_or_update_entity with permalink={permalink}, data={data}")
@@ -69,7 +69,9 @@ async def create_or_update_entity(
    await search_service.index_entity(entity, background_tasks=background_tasks)
    result = EntityResponse.model_validate(entity)

-    logger.info(f"response: create_or_update_entity with result={result}, status_code={response.status_code}")
+    logger.info(
+        f"response: create_or_update_entity with result={result}, status_code={response.status_code}"
+    )
    return result


@@ -78,8 +80,8 @@ async def create_or_update_entity(

@router.get("/entities/{permalink:path}", response_model=EntityResponse)
 async def get_entity(
-        entity_service: EntityServiceDep,
-        permalink: str,
+    entity_service: EntityServiceDep,
+    permalink: str,
 ) -> EntityResponse:
    """Get a specific entity by ID.

@@ -102,13 +104,13 @@ async def get_entity(

@router.get("/entities", response_model=EntityListResponse)
 async def get_entities(
-        entity_service: EntityServiceDep,
-        permalink: Annotated[list[str] | None, Query()] = None,
+    entity_service: EntityServiceDep,
+    permalink: Annotated[list[str] | None, Query()] = None,
 ) -> EntityListResponse:
    """Open specific entities"""
    logger.info(f"request: get_entities with permalinks={permalink}")

-    entities = await entity_service.get_entities_by_permalinks(permalink)
+    entities = await entity_service.get_entities_by_permalinks(permalink) if permalink else []
    result = EntityListResponse(
        entities=[EntityResponse.model_validate(entity) for entity in entities]
    )
@@ -122,11 +124,11 @@ async def get_entities(

@router.delete("/entities/{identifier:path}", response_model=DeleteEntitiesResponse)
 async def delete_entity(
-        identifier: str,
-        background_tasks: BackgroundTasks,
-        entity_service: EntityServiceDep,
-        link_resolver: LinkResolverDep,
-        search_service=Depends(get_search_service),
+    identifier: str,
+    background_tasks: BackgroundTasks,
+    entity_service: EntityServiceDep,
+    link_resolver: LinkResolverDep,
+    search_service=Depends(get_search_service),
 ) -> DeleteEntitiesResponse:
    """Delete a single entity and remove from search index."""
    logger.info(f"request: delete_entity with identifier={identifier}")
@@ -149,10 +151,10 @@ async def delete_entity(

@router.post("/entities/delete", response_model=DeleteEntitiesResponse)
 async def delete_entities(
-        data: DeleteEntitiesRequest,
-        background_tasks: BackgroundTasks,
-        entity_service: EntityServiceDep,
-        search_service=Depends(get_search_service),
+    data: DeleteEntitiesRequest,
+    background_tasks: BackgroundTasks,
+    entity_service: EntityServiceDep,
+    search_service=Depends(get_search_service),
 ) -> DeleteEntitiesResponse:
    """Delete entities and remove from search index."""
    logger.info(f"request: delete_entities with data={data}")
@@ -1,13 +1,11 @@
 """Routes for memory:// URI operations."""

-from datetime import datetime, timedelta
-from typing import Optional, List, Annotated
+from typing import Annotated

 from dateparser import parse
 from fastapi import APIRouter, Query
 from loguru import logger

-from basic_memory.config import config
 from basic_memory.deps import ContextServiceDep, EntityRepositoryDep
 from basic_memory.repository import EntityRepository
 from basic_memory.repository.search_repository import SearchIndexRow
@@ -17,7 +15,8 @@ from basic_memory.schemas.memory import (
    RelationSummary,
    EntitySummary,
    ObservationSummary,
-    MemoryMetadata, normalize_memory_url,
+    MemoryMetadata,
+    normalize_memory_url,
 )
 from basic_memory.schemas.search import SearchItemType
 from basic_memory.services.context_service import ContextResultRow
@@ -25,12 +24,14 @@ from basic_memory.services.context_service import ContextResultRow
 router = APIRouter(prefix="/memory", tags=["memory"])


-
 async def to_graph_context(context, entity_repository: EntityRepository):
    # return results
    async def to_summary(item: SearchIndexRow | ContextResultRow):
        match item.type:
            case SearchItemType.ENTITY:
+                assert item.title is not None
+                assert item.created_at is not None
+
                return EntitySummary(
                    title=item.title,
                    permalink=item.permalink,
@@ -38,12 +39,18 @@ async def to_graph_context(context, entity_repository: EntityRepository):
                    created_at=item.created_at,
                )
            case SearchItemType.OBSERVATION:
+                assert item.category is not None
+                assert item.content is not None
+
                return ObservationSummary(
                    category=item.category, content=item.content, permalink=item.permalink
                )
            case SearchItemType.RELATION:
+                assert item.from_id is not None
                from_entity = await entity_repository.find_by_id(item.from_id)
-                to_entity = await entity_repository.find_by_id(item.to_id)
+                assert from_entity is not None
+
+                to_entity = await entity_repository.find_by_id(item.to_id) if item.to_id else None

                return RelationSummary(
                    permalink=item.permalink,
@@ -51,6 +58,8 @@ async def to_graph_context(context, entity_repository: EntityRepository):
                    from_id=from_entity.permalink,
                    to_id=to_entity.permalink if to_entity else None,
                )
+            case _:  # pragma: no cover
+                raise ValueError(f"Unexpected type: {item.type}")

    primary_results = [await to_summary(r) for r in context["primary_results"]]
    related_results = [await to_summary(r) for r in context["related_results"]]
@@ -61,7 +70,6 @@ async def to_graph_context(context, entity_repository: EntityRepository):
    )


-
@router.get("/recent", response_model=GraphContext)
 async def recent(
    context_service: ContextServiceDep,
@@ -91,7 +99,8 @@ async def recent(
    return await to_graph_context(context, entity_repository=entity_repository)


-# get_memory_context needs to be declared last so other paths can match 
+# get_memory_context needs to be declared last so other paths can match
+

@router.get("/{uri:path}", response_model=GraphContext)
 async def get_memory_context(
@@ -118,6 +127,3 @@ async def get_memory_context(
        memory_url, depth=depth, since=since, max_results=max_results
    )
    return await to_graph_context(context, entity_repository=entity_repository)
-
-
-
@@ -1,34 +1,28 @@
 """Router for search operations."""
+
 from dataclasses import asdict

 from fastapi import APIRouter, Depends, BackgroundTasks
-from typing import List

-from loguru import logger
 from basic_memory.services.search_service import SearchService
 from basic_memory.schemas.search import SearchQuery, SearchResult, SearchResponse
 from basic_memory.deps import get_search_service

 router = APIRouter(prefix="/search", tags=["search"])

+
@router.post("/", response_model=SearchResponse)
-async def search(
-    query: SearchQuery,
-    search_service: SearchService = Depends(get_search_service)
-):
+async def search(query: SearchQuery, search_service: SearchService = Depends(get_search_service)):
    """Search across all knowledge and documents."""
    results = await search_service.search(query)
    search_results = [SearchResult.model_validate(asdict(r)) for r in results]
    return SearchResponse(results=search_results)

+
@router.post("/reindex")
 async def reindex(
-    background_tasks: BackgroundTasks,
-    search_service: SearchService = Depends(get_search_service)
+    background_tasks: BackgroundTasks, search_service: SearchService = Depends(get_search_service)
 ):
    """Recreate and populate the search index."""
    await search_service.reindex_all(background_tasks=background_tasks)
-    return {
-        "status": "ok",
-        "message": "Reindex initiated"
-    }
+    return {"status": "ok", "message": "Reindex initiated"}
@@ -1 +1 @@
-"""CLI tools for basic-memory"""
+"""CLI tools for basic-memory"""
@@ -1,4 +1,20 @@
+import asyncio
+
 import typer

-app = typer.Typer()
+from basic_memory import db
+from basic_memory.config import config
+from basic_memory.utils import setup_logging

+setup_logging(log_file=".basic-memory/basic-memory-cli.log")  # pragma: no cover
+
+asyncio.run(db.run_migrations(config))
+
+app = typer.Typer(name="basic-memory")
+
+import_app = typer.Typer()
+app.add_typer(import_app, name="import")
+
+
+claude_app = typer.Typer()
+import_app.add_typer(claude_app, name="claude")
@@ -1,5 +1,5 @@
-"""Command module exports."""
+"""CLI commands for basic-memory."""

-from . import init, status, sync, import_memory_json
+from . import status, sync, db, import_memory_json, mcp

-__all__ = ["init", "status", "sync", "import_memory_json.py"]
+__all__ = ["status", "sync", "db", "import_memory_json", "mcp"]
@@ -0,0 +1,25 @@
+"""Database management commands."""
+
+import asyncio
+import typer
+from loguru import logger
+
+from basic_memory.alembic import migrations
+from basic_memory.cli.app import app
+
+
+@app.command()
+def reset(
+    reindex: bool = typer.Option(False, "--reindex", help="Rebuild indices from filesystem"),
+):  # pragma: no cover
+    """Reset database (drop all tables and recreate)."""
+    if typer.confirm("This will delete all data. Are you sure?"):
+        logger.info("Resetting database...")
+        asyncio.run(migrations.reset_database())
+
+        if reindex:
+            # Import and run sync
+            from basic_memory.cli.commands.sync import sync
+
+            logger.info("Rebuilding search index from filesystem...")
+            sync(watch=False)  # pyright: ignore
@@ -0,0 +1,255 @@
+"""Import command for ChatGPT conversations."""
+
+import asyncio
+import json
+from datetime import datetime
+from pathlib import Path
+from typing import Dict, Any, List, Annotated, Set, Optional
+
+import typer
+from loguru import logger
+from rich.console import Console
+from rich.panel import Panel
+from rich.progress import Progress, SpinnerColumn, TextColumn, BarColumn
+
+from basic_memory.cli.app import import_app
+from basic_memory.config import config
+from basic_memory.markdown import EntityParser, MarkdownProcessor
+from basic_memory.markdown.schemas import EntityMarkdown, EntityFrontmatter
+
+console = Console()
+
+
+def clean_filename(text: str) -> str:
+    """Convert text to safe filename."""
+    clean = "".join(c if c.isalnum() else "-" for c in text.lower()).strip("-")
+    return clean
+
+
+def format_timestamp(ts: float) -> str:
+    """Format Unix timestamp for display."""
+    dt = datetime.fromtimestamp(ts)
+    return dt.strftime("%Y-%m-%d %H:%M:%S")
+
+
+def get_message_content(message: Dict[str, Any]) -> str:
+    """Extract clean message content."""
+    if not message or "content" not in message:
+        return ""  # pragma: no cover
+
+    content = message["content"]
+    if content.get("content_type") == "text":
+        return "\n".join(content.get("parts", []))
+    elif content.get("content_type") == "code":
+        return f"```{content.get('language', '')}\n{content.get('text', '')}\n```"
+    return ""  # pragma: no cover
+
+
+def traverse_messages(
+    mapping: Dict[str, Any], root_id: Optional[str], seen: Set[str]
+) -> List[Dict[str, Any]]:
+    """Traverse message tree and return messages in order."""
+    messages = []
+    node = mapping.get(root_id) if root_id else None
+
+    while node:
+        if node["id"] not in seen and node.get("message"):
+            seen.add(node["id"])
+            messages.append(node["message"])
+
+        # Follow children
+        children = node.get("children", [])
+        for child_id in children:
+            child_msgs = traverse_messages(mapping, child_id, seen)
+            messages.extend(child_msgs)
+
+        break  # Don't follow siblings
+
+    return messages
+
+
+def format_chat_markdown(
+    title: str, mapping: Dict[str, Any], root_id: Optional[str], created_at: float, modified_at: float
+) -> str:
+    """Format chat as clean markdown."""
+
+    # Start with title
+    lines = [f"# {title}\n"]
+
+    # Traverse message tree
+    seen_msgs = set()
+    messages = traverse_messages(mapping, root_id, seen_msgs)
+
+    # Format each message
+    for msg in messages:
+        # Skip hidden messages
+        if msg.get("metadata", {}).get("is_visually_hidden_from_conversation"):
+            continue
+
+        # Get author and timestamp
+        author = msg["author"]["role"].title()
+        ts = format_timestamp(msg["create_time"]) if msg.get("create_time") else ""
+
+        # Add message header
+        lines.append(f"### {author} ({ts})")
+
+        # Add message content
+        content = get_message_content(msg)
+        if content:
+            lines.append(content)
+
+        # Add spacing
+        lines.append("")
+
+    return "\n".join(lines)
+
+
+def format_chat_content(folder: str, conversation: Dict[str, Any]) -> EntityMarkdown:
+    """Convert chat conversation to Basic Memory entity."""
+
+    # Extract timestamps
+    created_at = conversation["create_time"]
+    modified_at = conversation["update_time"]
+
+    root_id = None
+    # Find root message
+    for node_id, node in conversation["mapping"].items():
+        if node.get("parent") is None:
+            root_id = node_id
+            break
+
+    # Generate permalink
+    date_prefix = datetime.fromtimestamp(created_at).strftime("%Y%m%d")
+    clean_title = clean_filename(conversation["title"])
+
+    # Format content
+    content = format_chat_markdown(
+        title=conversation["title"],
+        mapping=conversation["mapping"],
+        root_id=root_id,
+        created_at=created_at,
+        modified_at=modified_at,
+    )
+
+    # Create entity
+    entity = EntityMarkdown(
+        frontmatter=EntityFrontmatter(
+            metadata={
+                "type": "conversation",
+                "title": conversation["title"],
+                "created": format_timestamp(created_at),
+                "modified": format_timestamp(modified_at),
+                "permalink": f"{folder}/{date_prefix}-{clean_title}",
+            }
+        ),
+        content=content,
+    )
+
+    return entity
+
+
+async def process_chatgpt_json(
+    json_path: Path, folder: str, markdown_processor: MarkdownProcessor
+) -> Dict[str, int]:
+    """Import conversations from ChatGPT JSON format."""
+
+    with Progress(
+        SpinnerColumn(),
+        TextColumn("[progress.description]{task.description}"),
+        BarColumn(),
+        TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
+        console=console,
+    ) as progress:
+        read_task = progress.add_task("Reading chat data...", total=None)
+
+        # Read conversations
+        conversations = json.loads(json_path.read_text())
+        progress.update(read_task, total=len(conversations))
+
+        # Process each conversation
+        messages_imported = 0
+        chats_imported = 0
+
+        for chat in conversations:
+            # Convert to entity
+            entity = format_chat_content(folder, chat)
+
+            # Write file
+            file_path = config.home / f"{entity.frontmatter.metadata['permalink']}.md"
+            # logger.info(f"Writing file: {file_path.absolute()}")
+            await markdown_processor.write_file(file_path, entity)
+
+            # Count messages
+            msg_count = sum(
+                1
+                for node in chat["mapping"].values()
+                if node.get("message")
+                and not node.get("message", {})
+                .get("metadata", {})
+                .get("is_visually_hidden_from_conversation")
+            )
+
+            chats_imported += 1
+            messages_imported += msg_count
+            progress.update(read_task, advance=1)
+
+    return {"conversations": chats_imported, "messages": messages_imported}
+
+
+async def get_markdown_processor() -> MarkdownProcessor:
+    """Get MarkdownProcessor instance."""
+    entity_parser = EntityParser(config.home)
+    return MarkdownProcessor(entity_parser)
+
+
+@import_app.command(name="chatgpt", help="Import conversations from ChatGPT JSON export.")
+def import_chatgpt(
+    conversations_json: Annotated[
+        Path, typer.Option(..., help="Path to ChatGPT conversations.json file")
+    ] = Path("conversations.json"),
+    folder: Annotated[
+        str, typer.Option(help="The folder to place the files in.")
+    ] = "conversations",
+):
+    """Import chat conversations from ChatGPT JSON format.
+
+    This command will:
+    1. Read the complex tree structure of messages
+    2. Convert them to linear markdown conversations
+    3. Save as clean, readable markdown files
+
+    After importing, run 'basic-memory sync' to index the new files.
+    """
+
+    try:
+        if conversations_json:
+            if not conversations_json.exists():
+                typer.echo(f"Error: File not found: {conversations_json}", err=True)
+                raise typer.Exit(1)
+
+            # Get markdown processor
+            markdown_processor = asyncio.run(get_markdown_processor())
+
+            # Process the file
+            base_path = config.home / folder
+            console.print(f"\nImporting chats from {conversations_json}...writing to {base_path}")
+            results = asyncio.run(
+                process_chatgpt_json(conversations_json, folder, markdown_processor)
+            )
+
+            # Show results
+            console.print(
+                Panel(
+                    f"[green]Import complete![/green]\n\n"
+                    f"Imported {results['conversations']} conversations\n"
+                    f"Containing {results['messages']} messages",
+                    expand=False,
+                )
+            )
+
+        console.print("\nRun 'basic-memory sync' to index the new files.")
+
+    except Exception as e:
+        logger.error("Import failed")
+        typer.echo(f"Error during import: {e}", err=True)
+        raise typer.Exit(1)
@@ -0,0 +1,211 @@
+"""Import command for basic-memory CLI to import chat data from conversations2.json format."""
+
+import asyncio
+import json
+from datetime import datetime
+from pathlib import Path
+from typing import Dict, Any, List, Annotated
+
+import typer
+from loguru import logger
+from rich.console import Console
+from rich.panel import Panel
+from rich.progress import Progress, SpinnerColumn, TextColumn, BarColumn
+
+from basic_memory.cli.app import claude_app
+from basic_memory.config import config
+from basic_memory.markdown import EntityParser, MarkdownProcessor
+from basic_memory.markdown.schemas import EntityMarkdown, EntityFrontmatter
+
+console = Console()
+
+
+def clean_filename(text: str) -> str:
+    """Convert text to safe filename."""
+    # Remove invalid characters and convert spaces
+    clean = "".join(c if c.isalnum() else "-" for c in text.lower()).strip("-")
+    return clean
+
+
+def format_timestamp(ts: str) -> str:
+    """Format ISO timestamp for display."""
+    dt = datetime.fromisoformat(ts.replace("Z", "+00:00"))
+    return dt.strftime("%Y-%m-%d %H:%M:%S")
+
+
+def format_chat_markdown(
+    name: str, messages: List[Dict[str, Any]], created_at: str, modified_at: str, permalink: str
+) -> str:
+    """Format chat as clean markdown."""
+
+    # Start with frontmatter and title
+    lines = [
+        f"# {name}\n",
+    ]
+
+    # Add messages
+    for msg in messages:
+        # Format timestamp
+        ts = format_timestamp(msg["created_at"])
+
+        # Add message header
+        lines.append(f"### {msg['sender'].title()} ({ts})")
+
+        # Handle message content
+        content = msg.get("text", "")
+        if msg.get("content"):
+            content = " ".join(c.get("text", "") for c in msg["content"])
+        lines.append(content)
+
+        # Handle attachments
+        attachments = msg.get("attachments", [])
+        for attachment in attachments:
+            if "file_name" in attachment:
+                lines.append(f"\n**Attachment: {attachment['file_name']}**")
+                if "extracted_content" in attachment:
+                    lines.append("```")
+                    lines.append(attachment["extracted_content"])
+                    lines.append("```")
+
+        # Add spacing between messages
+        lines.append("")
+
+    return "\n".join(lines)
+
+
+def format_chat_content(
+    base_path: Path, name: str, messages: List[Dict[str, Any]], created_at: str, modified_at: str
+) -> EntityMarkdown:
+    """Convert chat messages to Basic Memory entity format."""
+
+    # Generate permalink
+    date_prefix = datetime.fromisoformat(created_at.replace("Z", "+00:00")).strftime("%Y%m%d")
+    clean_title = clean_filename(name)
+    permalink = f"{base_path}/{date_prefix}-{clean_title}"
+
+    # Format content
+    content = format_chat_markdown(
+        name=name,
+        messages=messages,
+        created_at=created_at,
+        modified_at=modified_at,
+        permalink=permalink,
+    )
+
+    # Create entity
+    entity = EntityMarkdown(
+        frontmatter=EntityFrontmatter(
+            metadata={
+                "type": "conversation",
+                "title": name,
+                "created": created_at,
+                "modified": modified_at,
+                "permalink": permalink,
+            }
+        ),
+        content=content,
+    )
+
+    return entity
+
+
+async def process_conversations_json(
+    json_path: Path, base_path: Path, markdown_processor: MarkdownProcessor
+) -> Dict[str, int]:
+    """Import chat data from conversations2.json format."""
+
+    with Progress(
+        SpinnerColumn(),
+        TextColumn("[progress.description]{task.description}"),
+        BarColumn(),
+        TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
+        console=console,
+    ) as progress:
+        read_task = progress.add_task("Reading chat data...", total=None)
+
+        # Read chat data - handle array of arrays format
+        data = json.loads(json_path.read_text())
+        conversations = [chat for chat in data]
+        progress.update(read_task, total=len(conversations))
+
+        # Process each conversation
+        messages_imported = 0
+        chats_imported = 0
+
+        for chat in conversations:
+            # Convert to entity
+            entity = format_chat_content(
+                base_path=base_path,
+                name=chat["name"],
+                messages=chat["chat_messages"],
+                created_at=chat["created_at"],
+                modified_at=chat["updated_at"],
+            )
+
+            # Write file
+            file_path = Path(f"{entity.frontmatter.metadata['permalink']}.md")
+            await markdown_processor.write_file(file_path, entity)
+
+            chats_imported += 1
+            messages_imported += len(chat["chat_messages"])
+            progress.update(read_task, advance=1)
+
+    return {"conversations": chats_imported, "messages": messages_imported}
+
+
+async def get_markdown_processor() -> MarkdownProcessor:
+    """Get MarkdownProcessor instance."""
+    entity_parser = EntityParser(config.home)
+    return MarkdownProcessor(entity_parser)
+
+
+@claude_app.command(name="conversations", help="Import chat conversations from Claude.ai.")
+def import_claude(
+    conversations_json: Annotated[
+        Path, typer.Argument(..., help="Path to conversations.json file")
+    ] = Path("conversations.json"),
+    folder: Annotated[
+        str, typer.Option(help="The folder to place the files in.")
+    ] = "conversations",
+):
+    """Import chat conversations from conversations2.json format.
+
+    This command will:
+    1. Read chat data and nested messages
+    2. Create markdown files for each conversation
+    3. Format content in clean, readable markdown
+
+    After importing, run 'basic-memory sync' to index the new files.
+    """
+
+    try:
+        if not conversations_json.exists():
+            typer.echo(f"Error: File not found: {conversations_json}", err=True)
+            raise typer.Exit(1)
+
+        # Get markdown processor
+        markdown_processor = asyncio.run(get_markdown_processor())
+
+        # Process the file
+        base_path = config.home / folder
+        console.print(f"\nImporting chats from {conversations_json}...writing to {base_path}")
+        results = asyncio.run(
+            process_conversations_json(conversations_json, base_path, markdown_processor)
+        )
+
+        # Show results
+        console.print(
+            Panel(
+                f"[green]Import complete![/green]\n\n"
+                f"Imported {results['conversations']} conversations\n"
+                f"Containing {results['messages']} messages",
+                expand=False,
+            )
+        )
+
+        console.print("\nRun 'basic-memory sync' to index the new files.")
+
+    except Exception as e:
+        logger.error("Import failed")
+        typer.echo(f"Error during import: {e}", err=True)
+        raise typer.Exit(1)
@@ -0,0 +1,195 @@
+"""Import command for basic-memory CLI to import project data from Claude.ai."""
+
+import asyncio
+import json
+from pathlib import Path
+from typing import Dict, Any, Annotated, Optional
+
+import typer
+from loguru import logger
+from rich.console import Console
+from rich.panel import Panel
+from rich.progress import Progress, SpinnerColumn, TextColumn, BarColumn
+
+from basic_memory.cli.app import claude_app
+from basic_memory.config import config
+from basic_memory.markdown import EntityParser, MarkdownProcessor
+from basic_memory.markdown.schemas import EntityMarkdown, EntityFrontmatter
+
+console = Console()
+
+
+def clean_filename(text: str) -> str:
+    """Convert text to safe filename."""
+    clean = "".join(c if c.isalnum() else "-" for c in text.lower()).strip("-")
+    return clean
+
+
+def format_project_markdown(project: Dict[str, Any], doc: Dict[str, Any]) -> EntityMarkdown:
+    """Format a project document as a Basic Memory entity."""
+
+    # Extract timestamps
+    created_at = doc.get("created_at") or project["created_at"]
+    modified_at = project["updated_at"]
+
+    # Generate clean names for organization
+    project_dir = clean_filename(project["name"])
+    doc_file = clean_filename(doc["filename"])
+
+    # Create entity
+    entity = EntityMarkdown(
+        frontmatter=EntityFrontmatter(
+            metadata={
+                "type": "project_doc",
+                "title": doc["filename"],
+                "created": created_at,
+                "modified": modified_at,
+                "permalink": f"{project_dir}/docs/{doc_file}",
+                "project_name": project["name"],
+                "project_uuid": project["uuid"],
+                "doc_uuid": doc["uuid"],
+            }
+        ),
+        content=doc["content"],
+    )
+
+    return entity
+
+
+def format_prompt_markdown(project: Dict[str, Any]) -> Optional[EntityMarkdown]:
+    """Format project prompt template as a Basic Memory entity."""
+
+    if not project.get("prompt_template"):
+        return None
+
+    # Extract timestamps
+    created_at = project["created_at"]
+    modified_at = project["updated_at"]
+
+    # Generate clean project directory name
+    project_dir = clean_filename(project["name"])
+
+    # Create entity
+    entity = EntityMarkdown(
+        frontmatter=EntityFrontmatter(
+            metadata={
+                "type": "prompt_template",
+                "title": f"Prompt Template: {project['name']}",
+                "created": created_at,
+                "modified": modified_at,
+                "permalink": f"{project_dir}/prompt-template",
+                "project_name": project["name"],
+                "project_uuid": project["uuid"],
+            }
+        ),
+        content=f"# Prompt Template: {project['name']}\n\n{project['prompt_template']}",
+    )
+
+    return entity
+
+
+async def process_projects_json(
+    json_path: Path, base_path: Path, markdown_processor: MarkdownProcessor
+) -> Dict[str, int]:
+    """Import project data from Claude.ai projects.json format."""
+
+    with Progress(
+        SpinnerColumn(),
+        TextColumn("[progress.description]{task.description}"),
+        BarColumn(),
+        TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
+        console=console,
+    ) as progress:
+        read_task = progress.add_task("Reading project data...", total=None)
+
+        # Read project data
+        data = json.loads(json_path.read_text())
+        progress.update(read_task, total=len(data))
+
+        # Track import counts
+        docs_imported = 0
+        prompts_imported = 0
+
+        # Process each project
+        for project in data:
+            project_dir = clean_filename(project["name"])
+
+            # Create project directories
+            docs_dir = base_path / project_dir / "docs"
+            docs_dir.mkdir(parents=True, exist_ok=True)
+
+            # Import prompt template if it exists
+            if prompt_entity := format_prompt_markdown(project):
+                file_path = base_path / f"{prompt_entity.frontmatter.metadata['permalink']}.md"
+                await markdown_processor.write_file(file_path, prompt_entity)
+                prompts_imported += 1
+
+            # Import project documents
+            for doc in project.get("docs", []):
+                entity = format_project_markdown(project, doc)
+                file_path = base_path / f"{entity.frontmatter.metadata['permalink']}.md"
+                await markdown_processor.write_file(file_path, entity)
+                docs_imported += 1
+
+            progress.update(read_task, advance=1)
+
+    return {"documents": docs_imported, "prompts": prompts_imported}
+
+
+async def get_markdown_processor() -> MarkdownProcessor:
+    """Get MarkdownProcessor instance."""
+    entity_parser = EntityParser(config.home)
+    return MarkdownProcessor(entity_parser)
+
+
+@claude_app.command(name="projects", help="Import projects from Claude.ai.")
+def import_projects(
+    projects_json: Annotated[Path, typer.Argument(..., help="Path to projects.json file")] = Path(
+        "projects.json"
+    ),
+    base_folder: Annotated[
+        str, typer.Option(help="The base folder to place project files in.")
+    ] = "projects",
+):
+    """Import project data from Claude.ai.
+
+    This command will:
+    1. Create a directory for each project
+    2. Store docs in a docs/ subdirectory
+    3. Place prompt template in project root
+
+    After importing, run 'basic-memory sync' to index the new files.
+    """
+
+    try:
+        if projects_json:
+            if not projects_json.exists():
+                typer.echo(f"Error: File not found: {projects_json}", err=True)
+                raise typer.Exit(1)
+
+            # Get markdown processor
+            markdown_processor = asyncio.run(get_markdown_processor())
+
+            # Process the file
+            base_path = config.home / base_folder if base_folder else config.home
+            console.print(f"\nImporting projects from {projects_json}...writing to {base_path}")
+            results = asyncio.run(
+                process_projects_json(projects_json, base_path, markdown_processor)
+            )
+
+            # Show results
+            console.print(
+                Panel(
+                    f"[green]Import complete![/green]\n\n"
+                    f"Imported {results['documents']} project documents\n"
+                    f"Imported {results['prompts']} prompt templates",
+                    expand=False,
+                )
+            )
+
+        console.print("\nRun 'basic-memory sync' to index the new files.")
+
+    except Exception as e:
+        logger.error("Import failed")
+        typer.echo(f"Error during import: {e}", err=True)
+        raise typer.Exit(1)
@@ -3,7 +3,7 @@
 import asyncio
 import json
 from pathlib import Path
-from typing import Dict, Any, List
+from typing import Dict, Any, List, Annotated

 import typer
 from loguru import logger
@@ -11,21 +11,23 @@ from rich.console import Console
 from rich.panel import Panel
 from rich.progress import Progress, SpinnerColumn, TextColumn, BarColumn

-from basic_memory.cli.app import app
+from basic_memory.cli.app import import_app
 from basic_memory.config import config
 from basic_memory.markdown import EntityParser, MarkdownProcessor
 from basic_memory.markdown.schemas import EntityMarkdown, EntityFrontmatter, Observation, Relation

-
 console = Console()

-async def process_memory_json(json_path: Path, base_path: Path,markdown_processor: MarkdownProcessor):
+
+async def process_memory_json(
+    json_path: Path, base_path: Path, markdown_processor: MarkdownProcessor
+):
    """Import entities from memory.json using markdown processor."""
-    
+
    # First pass - collect all relations by source entity
    entity_relations: Dict[str, List[Relation]] = {}
    entities: Dict[str, Dict[str, Any]] = {}
-    
+
    with Progress(
        SpinnerColumn(),
        TextColumn("[progress.description]{task.description}"),
@@ -34,12 +36,12 @@ async def process_memory_json(json_path: Path, base_path: Path,markdown_processo
        console=console,
    ) as progress:
        read_task = progress.add_task("Reading memory.json...", total=None)
-        
+
        # First pass - collect entities and relations
        with open(json_path) as f:
            lines = f.readlines()
            progress.update(read_task, total=len(lines))
-            
+
            for line in lines:
                data = json.loads(line)
                if data["type"] == "entity":
@@ -52,14 +54,14 @@ async def process_memory_json(json_path: Path, base_path: Path,markdown_processo
                    entity_relations[source].append(
                        Relation(
                            type=data.get("relationType") or data.get("relation_type"),
-                            target=data.get("to") or data.get("to_id")
+                            target=data.get("to") or data.get("to_id"),
                        )
                    )
                progress.update(read_task, advance=1)

        # Second pass - create and write entities
        write_task = progress.add_task("Creating entities...", total=len(entities))
-        
+
        entities_created = 0
        for name, entity_data in entities.items():
            entity = EntityMarkdown(
@@ -67,26 +69,25 @@ async def process_memory_json(json_path: Path, base_path: Path,markdown_processo
                    metadata={
                        "type": entity_data["entityType"],
                        "title": name,
-                        "permalink": f"{entity_data['entityType']}/{name}"
+                        "permalink": f"{entity_data['entityType']}/{name}",
                    }
                ),
                content=f"# {name}\n",
-                observations=[
-                    Observation(content=obs) 
-                    for obs in entity_data["observations"]
-                ],
-                relations=entity_relations.get(name, [])  # Add any relations where this entity is the source
+                observations=[Observation(content=obs) for obs in entity_data["observations"]],
+                relations=entity_relations.get(
+                    name, []
+                ),  # Add any relations where this entity is the source
            )
-            
+
            # Let markdown processor handle writing
            file_path = base_path / f"{entity_data['entityType']}/{name}.md"
            await markdown_processor.write_file(file_path, entity)
            entities_created += 1
            progress.update(write_task, advance=1)
-    
+
    return {
        "entities": entities_created,
-        "relations": sum(len(rels) for rels in entity_relations.values())
+        "relations": sum(len(rels) for rels in entity_relations.values()),
    }


@@ -96,44 +97,48 @@ async def get_markdown_processor() -> MarkdownProcessor:
    return MarkdownProcessor(entity_parser)


-@app.command()
-def import_json(
-    json_path: Path = typer.Argument(..., help="Path to memory.json file to import"),
+@import_app.command()
+def memory_json(
+    json_path: Annotated[Path, typer.Argument(..., help="Path to memory.json file")] = Path(
+        "memory.json"
+    ),
 ):
    """Import entities and relations from a memory.json file.
-    
+
    This command will:
    1. Read entities and relations from the JSON file
    2. Create markdown files for each entity
    3. Include outgoing relations in each entity's markdown
-    
+
    After importing, run 'basic-memory sync' to index the new files.
    """
-    
+
    if not json_path.exists():
        typer.echo(f"Error: File not found: {json_path}", err=True)
        raise typer.Exit(1)
-        
+
    try:
        # Get markdown processor
        markdown_processor = asyncio.run(get_markdown_processor())
-        
+
        # Process the file
        base_path = config.home
        console.print(f"\nImporting from {json_path}...writing to {base_path}")
        results = asyncio.run(process_memory_json(json_path, base_path, markdown_processor))
-        
+
        # Show results
-        console.print(Panel(
-            f"[green]Import complete![/green]\n\n"
-            f"Created {results['entities']} entities\n"
-            f"Added {results['relations']} relations",
-            expand=False
-        ))
-        
+        console.print(
+            Panel(
+                f"[green]Import complete![/green]\n\n"
+                f"Created {results['entities']} entities\n"
+                f"Added {results['relations']} relations",
+                expand=False,
+            )
+        )
+
        console.print("\nRun 'basic-memory sync' to index the new files.")
-        
+
    except Exception as e:
-        logger.exception("Import failed")
+        logger.error("Import failed")
        typer.echo(f"Error during import: {e}", err=True)
-        raise typer.Exit(1)
+        raise typer.Exit(1)
@@ -1,38 +0,0 @@
-"""Initialize command for basic-memory CLI."""
-
-import asyncio
-from pathlib import Path
-
-import typer
-from loguru import logger
-
-from basic_memory.cli.app import app
-from basic_memory.db import engine_session_factory, DatabaseType
-from basic_memory.config import config
-
-
-async def _init(force: bool = False):
-    """Initialize the database."""
-    db_path = config.database_path
-
-    if db_path.exists() and not force:
-        typer.echo(f"Database already exists at {db_path}. Use --force to reinitialize.")
-        raise typer.Exit(1)
-        
-    # Create data directory if needed
-    db_path.parent.mkdir(parents=True, exist_ok=True)
-
-    try:
-        async with engine_session_factory(db_path, db_type=DatabaseType.FILESYSTEM, init=True):
-            typer.echo(f"Initialized database at {db_path}")
-    except Exception as e:
-        logger.error(f"Error initializing database: {e}")
-        typer.echo(f"Error initializing database: {e}")
-        raise typer.Exit(1)
-
-@app.command()
-def init(
-    force: bool = typer.Option(False, "--force", "-f", help="Force reinitialization if database exists")
-):
-    """Initialize a new basic-memory database."""
-    asyncio.run(_init(force))
@@ -0,0 +1,20 @@
+"""MCP server command."""
+
+from loguru import logger
+from basic_memory.cli.app import app
+from basic_memory.config import config
+
+# Import mcp instance
+from basic_memory.mcp.server import mcp as mcp_server  # pragma: no cover
+
+# Import mcp tools to register them
+import basic_memory.mcp.tools  # noqa: F401  # pragma: no cover
+
+
+@app.command()
+def mcp():  # pragma: no cover
+    """Run the MCP server for Claude Desktop integration."""
+    home_dir = config.home
+    logger.info(f"Starting Basic Memory MCP server {basic_memory.__version__}")
+    logger.info(f"Home directory: {home_dir}")
+    mcp_server.run()
@@ -21,18 +21,20 @@ from basic_memory.sync.utils import SyncReport
 console = Console()


-async def get_file_change_scanner(db_type=DatabaseType.FILESYSTEM) -> FileChangeScanner:
+async def get_file_change_scanner(
+    db_type=DatabaseType.FILESYSTEM,
+) -> FileChangeScanner:  # pragma: no cover
    """Get sync service instance."""
-    async with db.engine_session_factory(db_path=config.database_path, db_type=db_type) as (
-        engine,
-        session_maker,
-    ):
-        entity_repository = EntityRepository(session_maker)
-        file_change_scanner = FileChangeScanner(entity_repository)
-        return file_change_scanner
+    _, session_maker = await db.get_or_create_db(db_path=config.database_path, db_type=db_type)
+
+    entity_repository = EntityRepository(session_maker)
+    file_change_scanner = FileChangeScanner(entity_repository)
+    return file_change_scanner


-def add_files_to_tree(tree: Tree, paths: Set[str], style: str, checksums: Dict[str, str] = None):
+def add_files_to_tree(
+    tree: Tree, paths: Set[str], style: str, checksums: Dict[str, str] | None = None
+):
    """Add files to tree, grouped by directory."""
    # Group by directory
    by_dir = {}
@@ -126,7 +128,8 @@ def display_changes(title: str, changes: SyncReport, verbose: bool = False):
        by_dir = group_changes_by_directory(changes)
        for dir_name, counts in sorted(by_dir.items()):
            summary = build_directory_summary(counts)
-            tree.add(f"[bold]{dir_name}/[/bold] {summary}")
+            if summary:  # Only show directories with changes
+                tree.add(f"[bold]{dir_name}/[/bold] {summary}")

    console.print(Panel(tree, expand=False))

@@ -145,8 +148,7 @@ def status(
    """Show sync status between files and database."""
    try:
        sync_service = asyncio.run(get_file_change_scanner())
-        asyncio.run(run_status(sync_service, verbose))
+        asyncio.run(run_status(sync_service, verbose))  # pragma: no cover
    except Exception as e:
        logger.exception(f"Error checking status: {e}")
-        typer.echo(f"Error checking status: {e}", err=True)
-        raise typer.Exit(1)
+        raise typer.Exit(code=1)  # pragma: no cover
@@ -9,15 +9,11 @@ from typing import List, Dict
 import typer
 from loguru import logger
 from rich.console import Console
-from rich.padding import Padding
-from rich.panel import Panel
-from rich.text import Text
 from rich.tree import Tree

 from basic_memory import db
 from basic_memory.cli.app import app
 from basic_memory.config import config
-from basic_memory.db import DatabaseType
 from basic_memory.markdown import EntityParser
 from basic_memory.markdown.markdown_processor import MarkdownProcessor
 from basic_memory.repository import (
@@ -42,50 +38,50 @@ class ValidationIssue:
    error: str


-async def get_sync_service(db_type=DatabaseType.FILESYSTEM):
+async def get_sync_service():  # pragma: no cover
    """Get sync service instance with all dependencies."""
-    async with db.engine_session_factory(db_path=config.database_path, db_type=db_type) as (
-        engine,
-        session_maker,
-    ):
-        entity_parser = EntityParser(config.home)
-        markdown_processor = MarkdownProcessor(entity_parser)
-        file_service = FileService(config.home, markdown_processor)
+    _, session_maker = await db.get_or_create_db(
+        db_path=config.database_path, db_type=db.DatabaseType.FILESYSTEM
+    )

-        # Initialize repositories
-        entity_repository = EntityRepository(session_maker)
-        observation_repository = ObservationRepository(session_maker)
-        relation_repository = RelationRepository(session_maker)
-        search_repository = SearchRepository(session_maker)
+    entity_parser = EntityParser(config.home)
+    markdown_processor = MarkdownProcessor(entity_parser)
+    file_service = FileService(config.home, markdown_processor)

-        # Initialize services
-        search_service = SearchService(search_repository, entity_repository, file_service)
-        link_resolver = LinkResolver(entity_repository, search_service)
+    # Initialize repositories
+    entity_repository = EntityRepository(session_maker)
+    observation_repository = ObservationRepository(session_maker)
+    relation_repository = RelationRepository(session_maker)
+    search_repository = SearchRepository(session_maker)

-        # Initialize scanner
-        file_change_scanner = FileChangeScanner(entity_repository)
+    # Initialize services
+    search_service = SearchService(search_repository, entity_repository, file_service)
+    link_resolver = LinkResolver(entity_repository, search_service)

-        # Initialize services
-        entity_service = EntityService(
-            entity_parser,
-            entity_repository,
-            observation_repository,
-            relation_repository,
-            file_service,
-            link_resolver,
-        )
+    # Initialize scanner
+    file_change_scanner = FileChangeScanner(entity_repository)

-        # Create sync service
-        sync_service = SyncService(
-            scanner=file_change_scanner,
-            entity_service=entity_service,
-            entity_parser=entity_parser,
-            entity_repository=entity_repository,
-            relation_repository=relation_repository,
-            search_service=search_service,
-        )
+    # Initialize services
+    entity_service = EntityService(
+        entity_parser,
+        entity_repository,
+        observation_repository,
+        relation_repository,
+        file_service,
+        link_resolver,
+    )

-        return sync_service
+    # Create sync service
+    sync_service = SyncService(
+        scanner=file_change_scanner,
+        entity_service=entity_service,
+        entity_parser=entity_parser,
+        entity_repository=entity_repository,
+        relation_repository=relation_repository,
+        search_service=search_service,
+    )
+
+    return sync_service


 def group_issues_by_directory(issues: List[ValidationIssue]) -> Dict[str, List[ValidationIssue]]:
@@ -97,53 +93,6 @@ def group_issues_by_directory(issues: List[ValidationIssue]) -> Dict[str, List[V
    return dict(grouped)


-def display_validation_errors(issues: List[ValidationIssue]):
-    """Display validation errors in a rich, organized format."""
-    # Create header
-    console.print()
-    console.print(
-        Panel("[red bold]Error:[/red bold] Invalid frontmatter in knowledge files", expand=False)
-    )
-    console.print()
-
-    # Group issues by directory
-    grouped_issues = group_issues_by_directory(issues)
-
-    # Create tree structure
-    tree = Tree("Knowledge Files")
-    for dir_name, dir_issues in sorted(grouped_issues.items()):
-        # Create branch for directory
-        branch = tree.add(
-            f"[bold blue]{dir_name}/[/bold blue] ([yellow]{len(dir_issues)} files[/yellow])"
-        )
-
-        # Add each file issue
-        for issue in sorted(dir_issues, key=lambda x: x.file_path):
-            file_name = Path(issue.file_path).name
-            branch.add(
-                Text.assemble(("└─ ", "dim"), (file_name, "yellow"), ": ", (issue.error, "red"))
-            )
-
-    # Display tree
-    console.print(Padding(tree, (1, 2)))
-
-    # Add help text
-    console.print()
-    console.print(
-        Panel(
-            Text.assemble(
-                ("To fix:", "bold"),
-                "\n1. Add required frontmatter fields to each file",
-                "\n2. Run ",
-                ("basic-memory sync", "bold cyan"),
-                " again",
-            ),
-            expand=False,
-        )
-    )
-    console.print()
-
-
 def display_sync_summary(knowledge: SyncReport):
    """Display a one-line summary of sync changes."""
    total_changes = knowledge.total_changes
@@ -212,10 +161,10 @@ async def run_sync(verbose: bool = False, watch: bool = False):
        watch_service = WatchService(
            sync_service=sync_service,
            file_service=sync_service.entity_service.file_service,
-            config=config
+            config=config,
        )
        await watch_service.handle_changes(config.home)
-        await watch_service.run()
+        await watch_service.run()  # pragma: no cover
    else:
        # one time sync
        knowledge_changes = await sync_service.sync(config.home)
@@ -223,7 +172,7 @@ async def run_sync(verbose: bool = False, watch: bool = False):
        if verbose:
            display_detailed_sync_results(knowledge_changes)
        else:
-            display_sync_summary(knowledge_changes)
+            display_sync_summary(knowledge_changes)  # pragma: no cover


@app.command()
@@ -246,7 +195,7 @@ def sync(
        # Run sync
        asyncio.run(run_sync(verbose=verbose, watch=watch))

-    except Exception as e:
+    except Exception as e:  # pragma: no cover
        if not isinstance(e, typer.Exit):
            logger.exception("Sync failed")
            typer.echo(f"Error during sync: {e}", err=True)
@@ -1,48 +1,23 @@
-"""Main CLI entry point for basic-memory."""
-import sys
+"""Main CLI entry point for basic-memory."""  # pragma: no cover

-import typer
-from loguru import logger
-
-from basic_memory.cli.app import app
-from basic_memory.cli.commands.init import init
+from basic_memory.cli.app import app  # pragma: no cover
+from basic_memory.utils import setup_logging  # pragma: no cover

 # Register commands
-from basic_memory.cli.commands import init, status, sync
-__all__ = ["init", "status", "sync"]
+from basic_memory.cli.commands import (  # noqa: F401  # pragma: no cover
+    status,
+    sync,
+    db,
+    import_memory_json,
+    mcp,
+    import_claude_conversations,
+    import_claude_projects,
+    import_chatgpt,
+)

-from basic_memory.config import config
-
-
-def setup_logging(home_dir: str = config.home, log_file: str = ".basic-memory/basic-memory-tools.log"):
-    """Configure logging for the application."""
-
-    # Remove default handler and any existing handlers
-    logger.remove()
-
-    # Add file handler for debug level logs
-    log = f"{home_dir}/{log_file}"
-    logger.add(
-        log,
-        level="DEBUG",
-        rotation="100 MB",
-        retention="10 days",
-        backtrace=True,
-        diagnose=True,
-        enqueue=True,
-        colorize=False,
-    )
-
-    # Add stderr handler for warnings and errors only
-    logger.add(
-        sys.stderr,
-        level="WARNING",
-        backtrace=True,
-        diagnose=True
-    )

 # Set up logging when module is imported
-setup_logging()
+setup_logging(log_file=".basic-memory/basic-memory-cli.log")  # pragma: no cover

 if __name__ == "__main__":  # pragma: no cover
    app()
@@ -2,7 +2,6 @@

 from pathlib import Path

-from loguru import logger
 from pydantic import Field, field_validator
 from pydantic_settings import BaseSettings, SettingsConfigDict

@@ -27,6 +26,8 @@ class ProjectConfig(BaseSettings):
        default=500, description="Milliseconds to wait after changes before syncing", gt=0
    )

+    log_level: str = "INFO"
+
    model_config = SettingsConfigDict(
        env_prefix="BASIC_MEMORY_",
        extra="ignore",
@@ -45,7 +46,7 @@ class ProjectConfig(BaseSettings):

    @field_validator("home")
    @classmethod
-    def ensure_path_exists(cls, v: Path) -> Path:
+    def ensure_path_exists(cls, v: Path) -> Path:  # pragma: no cover
        """Ensure project path exists."""
        if not v.exists():
            v.mkdir(parents=True)
@@ -54,4 +55,3 @@ class ProjectConfig(BaseSettings):

 # Load project config
 config = ProjectConfig()
-logger.info(f"project config home: {config.home}")
@@ -4,6 +4,10 @@ from enum import Enum, auto
 from pathlib import Path
 from typing import AsyncGenerator, Optional

+from basic_memory.config import ProjectConfig
+from alembic import command
+from alembic.config import Config
+
 from loguru import logger
 from sqlalchemy import text
 from sqlalchemy.ext.asyncio import (
@@ -14,7 +18,7 @@ from sqlalchemy.ext.asyncio import (
    async_scoped_session,
 )

-from basic_memory.models import Base, SCHEMA_VERSION
+from basic_memory.repository.search_repository import SearchRepository

 # Module level state
 _engine: Optional[AsyncEngine] = None
@@ -34,7 +38,7 @@ class DatabaseType(Enum):
            logger.info("Using in-memory SQLite database")
            return "sqlite+aiosqlite://"

-        return f"sqlite+aiosqlite:///{db_path}"
+        return f"sqlite+aiosqlite:///{db_path}"  # pragma: no cover


 def get_scoped_session_factory(
@@ -68,37 +72,10 @@ async def scoped_session(
        await factory.remove()


-async def init_db() -> None:
-    """Initialize database with required tables."""
-
-    logger.info("Initializing database...")
-
-    async with scoped_session(_session_maker) as session:
-        await session.execute(text("PRAGMA foreign_keys=ON"))
-        conn = await session.connection()
-        await conn.run_sync(Base.metadata.create_all)
-        
-        await session.commit()
-
-async def drop_db():
-    """Drop all database tables."""
-    global _engine, _session_maker
-    
-    logger.info("Dropping tables...")
-    async with scoped_session(_session_maker) as session:
-        conn = await session.connection()
-        await conn.run_sync(Base.metadata.drop_all)
-        await session.commit()
-        
-    # reset global engine and session_maker
-    _engine = None
-    _session_maker = None
-
-
 async def get_or_create_db(
    db_path: Path,
    db_type: DatabaseType = DatabaseType.FILESYSTEM,
-) -> tuple[AsyncEngine, async_sessionmaker[AsyncSession]]:
+) -> tuple[AsyncEngine, async_sessionmaker[AsyncSession]]:  # pragma: no cover
    """Get or create database engine and session maker."""
    global _engine, _session_maker

@@ -108,13 +85,12 @@ async def get_or_create_db(
        _engine = create_async_engine(db_url, connect_args={"check_same_thread": False})
        _session_maker = async_sessionmaker(_engine, expire_on_commit=False)

-        # Initialize database
-        await init_db()
-
+    assert _engine is not None  # for type checker
+    assert _session_maker is not None  # for type checker
    return _engine, _session_maker


-async def shutdown_db():
+async def shutdown_db() -> None:  # pragma: no cover
    """Clean up database connections."""
    global _engine, _session_maker

@@ -124,12 +100,10 @@ async def shutdown_db():
        _session_maker = None


-
@asynccontextmanager
 async def engine_session_factory(
    db_path: Path,
    db_type: DatabaseType = DatabaseType.MEMORY,
-    init: bool = True,
 ) -> AsyncGenerator[tuple[AsyncEngine, async_sessionmaker[AsyncSession]], None]:
    """Create engine and session factory.

@@ -138,17 +112,39 @@ async def engine_session_factory(
    """

    global _engine, _session_maker
-    
+
    db_url = DatabaseType.get_db_url(db_path, db_type)
    logger.debug(f"Creating engine for db_url: {db_url}")
-    
+
    _engine = create_async_engine(db_url, connect_args={"check_same_thread": False})
    try:
        _session_maker = async_sessionmaker(_engine, expire_on_commit=False)

-        if init:
-            await init_db()
-
+        assert _engine is not None  # for type checker
+        assert _session_maker is not None  # for type checker
        yield _engine, _session_maker
    finally:
-        await _engine.dispose()
+        if _engine:
+            await _engine.dispose()
+            _engine = None
+            _session_maker = None
+
+
+async def run_migrations(app_config: ProjectConfig, database_type=DatabaseType.FILESYSTEM):
+    """Run any pending alembic migrations."""
+    logger.info("Running database migrations...")
+    try:
+        # Get the absolute path to the alembic directory relative to this file
+        alembic_dir = Path(__file__).parent / "alembic"
+        config = Config()
+        config.set_main_option("script_location", str(alembic_dir))
+        config.set_main_option("sqlalchemy.url", "driver://user:pass@localhost/dbname")
+
+        command.upgrade(config, "head")
+        logger.info("Migrations completed successfully")
+
+        _, session_maker = await get_or_create_db(app_config.database_path, database_type)
+        await SearchRepository(session_maker).init_search_index()
+    except Exception as e:  # pragma: no cover
+        logger.error(f"Error running migrations: {e}")
+        raise
@@ -29,11 +29,11 @@ from basic_memory.services.search_service import SearchService
 ## project


-def get_project_config() -> ProjectConfig:
+def get_project_config() -> ProjectConfig:  # pragma: no cover
    return config


-ProjectConfigDep = Annotated[ProjectConfig, Depends(get_project_config)]
+ProjectConfigDep = Annotated[ProjectConfig, Depends(get_project_config)]  # pragma: no cover


 ## sqlalchemy
@@ -41,7 +41,7 @@ ProjectConfigDep = Annotated[ProjectConfig, Depends(get_project_config)]

 async def get_engine_factory(
    project_config: ProjectConfigDep,
-) -> tuple[AsyncEngine, async_sessionmaker[AsyncSession]]:
+) -> tuple[AsyncEngine, async_sessionmaker[AsyncSession]]:  # pragma: no cover
    """Get engine and session maker."""
    return await db.get_or_create_db(project_config.database_path)

@@ -129,7 +129,6 @@ async def get_file_service(
 FileServiceDep = Annotated[FileService, Depends(get_file_service)]


-
 async def get_entity_service(
    entity_repository: EntityRepositoryDep,
    observation_repository: ObservationRepositoryDep,
@@ -1,7 +1,8 @@
 """Utilities for file operations."""
+
 import hashlib
 from pathlib import Path
-from typing import Dict, Any, Tuple
+from typing import Dict, Any

 import yaml
 from loguru import logger
@@ -9,35 +10,38 @@ from loguru import logger

 class FileError(Exception):
    """Base exception for file operations."""
+
    pass


 class FileWriteError(FileError):
    """Raised when file operations fail."""
+
    pass


 class ParseError(FileError):
    """Raised when parsing file content fails."""
+
    pass


 async def compute_checksum(content: str) -> str:
    """
    Compute SHA-256 checksum of content.
-    
+
    Args:
        content: Text content to hash
-        
+
    Returns:
        SHA-256 hex digest
-        
+
    Raises:
        FileError: If checksum computation fails
    """
    try:
        return hashlib.sha256(content.encode()).hexdigest()
-    except Exception as e:
+    except Exception as e:  # pragma: no cover
        logger.error(f"Failed to compute checksum: {e}")
        raise FileError(f"Failed to compute checksum: {e}")

@@ -45,16 +49,16 @@ async def compute_checksum(content: str) -> str:
 async def ensure_directory(path: Path) -> None:
    """
    Ensure directory exists, creating if necessary.
-    
+
    Args:
        path: Directory path to ensure
-        
+
    Raises:
        FileWriteError: If directory creation fails
    """
    try:
        path.mkdir(parents=True, exist_ok=True)
-    except Exception as e:
+    except Exception as e:  # pragma: no cover
        logger.error(f"Failed to create directory: {path}: {e}")
        raise FileWriteError(f"Failed to create directory {path}: {e}")

@@ -62,22 +66,20 @@ async def ensure_directory(path: Path) -> None:
 async def write_file_atomic(path: Path, content: str) -> None:
    """
    Write file with atomic operation using temporary file.
-    
+
    Args:
        path: Target file path
        content: Content to write
-        
+
    Raises:
        FileWriteError: If write operation fails
    """
    temp_path = path.with_suffix(".tmp")
    try:
        temp_path.write_text(content)
-        
-        # TODO check for path.exists()
        temp_path.replace(path)
        logger.debug(f"wrote file: {path}")
-    except Exception as e:
+    except Exception as e:  # pragma: no cover
        temp_path.unlink(missing_ok=True)
        logger.error(f"Failed to write file: {path}: {e}")
        raise FileWriteError(f"Failed to write file {path}: {e}")
@@ -85,16 +87,19 @@ async def write_file_atomic(path: Path, content: str) -> None:

 def has_frontmatter(content: str) -> bool:
    """
-    Check if content contains YAML frontmatter.
+    Check if content contains valid YAML frontmatter.

    Args:
        content: Content to check

    Returns:
-        True if content has frontmatter delimiter (---), False otherwise
+        True if content has valid frontmatter markers (---), False otherwise
    """
    content = content.strip()
-    return content.startswith("---") and "---" in content[3:]
+    if not content.startswith("---"):
+        return False
+
+    return "---" in content[3:]


 def parse_frontmatter(content: str) -> Dict[str, Any]:
@@ -111,7 +116,7 @@ def parse_frontmatter(content: str) -> Dict[str, Any]:
        ParseError: If frontmatter is invalid or parsing fails
    """
    try:
-        if not has_frontmatter(content):
+        if not content.strip().startswith("---"):
            raise ParseError("Content has no frontmatter")

        # Split on first two occurrences of ---
@@ -132,7 +137,7 @@ def parse_frontmatter(content: str) -> Dict[str, Any]:
        except yaml.YAMLError as e:
            raise ParseError(f"Invalid YAML in frontmatter: {e}")

-    except Exception as e:
+    except Exception as e:  # pragma: no cover
        if not isinstance(e, ParseError):
            logger.error(f"Failed to parse frontmatter: {e}")
            raise ParseError(f"Failed to parse frontmatter: {e}")
@@ -147,27 +152,23 @@ def remove_frontmatter(content: str) -> str:
        content: Content with frontmatter

    Returns:
-        Content with frontmatter removed
+        Content with frontmatter removed, or original content if no frontmatter

    Raises:
-        ParseError: If frontmatter format is invalid
+        ParseError: If content starts with frontmatter marker but is malformed
    """
-    try:
-        if not has_frontmatter(content):
-            return content.strip()
+    content = content.strip()

-        # Split on first two occurrences of ---
-        parts = content.split("---", 2)
-        if len(parts) < 3:
-            raise ParseError("Invalid frontmatter format")
+    # Return as-is if no frontmatter marker
+    if not content.startswith("---"):
+        return content

-        return parts[2].strip()
+    # Split on first two occurrences of ---
+    parts = content.split("---", 2)
+    if len(parts) < 3:
+        raise ParseError("Invalid frontmatter format")

-    except Exception as e:
-        if not isinstance(e, ParseError):
-            logger.error(f"Failed to remove frontmatter: {e}")
-            raise ParseError(f"Failed to remove frontmatter: {e}")
-        raise
+    return parts[2].strip()


 async def update_frontmatter(path: Path, updates: Dict[str, Any]) -> str:
@@ -208,6 +209,6 @@ async def update_frontmatter(path: Path, updates: Dict[str, Any]) -> str:
        await write_file_atomic(path, final_content)
        return await compute_checksum(final_content)

-    except Exception as e:
+    except Exception as e:  # pragma: no cover
        logger.error(f"Failed to update frontmatter in {path}: {e}")
-        raise FileError(f"Failed to update frontmatter: {e}")
+        raise FileError(f"Failed to update frontmatter: {e}")
@@ -2,6 +2,7 @@

 Uses markdown-it with plugins to parse structured data from markdown content.
 """
+
 from dataclasses import dataclass, field
 from pathlib import Path
 from datetime import datetime
@@ -21,11 +22,12 @@ from basic_memory.markdown.schemas import (

 md = MarkdownIt().use(observation_plugin).use(relation_plugin)

+
@dataclass
 class EntityContent:
-    content: str 
-    observations: list[Observation] = field(default_factory=list) 
-    relations: list[Relation] = field(default_factory=list) 
+    content: str
+    observations: list[Observation] = field(default_factory=list)
+    relations: list[Relation] = field(default_factory=list)


 def parse(content: str) -> EntityContent:
@@ -53,13 +55,13 @@ def parse(content: str) -> EntityContent:
        relations=relations,
    )

+
 def parse_tags(tags: Any) -> list[str]:
    """Parse tags into list of strings."""
-    if isinstance(tags, str):
-        return [t.strip() for t in tags.split(",") if t.strip()]
    if isinstance(tags, (list, tuple)):
        return [str(t).strip() for t in tags if str(t).strip()]
-    return []
+    return [t.strip() for t in tags.split(",") if t.strip()]
+

 class EntityParser:
    """Parser for markdown files into Entity objects."""
@@ -68,21 +70,6 @@ class EntityParser:
        """Initialize parser with base path for relative permalink generation."""
        self.base_path = base_path.resolve()

-
-    def relative_path(self, file_path: Path) -> str:
-        """Get file path relative to base_path.
-
-        Example:
-            base_path: /project/root
-            file_path: /project/root/design/models/data.md
-            returns: "design/models/data"
-        """
-        # Get relative path and remove .md extension
-        rel_path = file_path.resolve().relative_to(self.base_path)
-        if rel_path.suffix.lower() == ".md":
-            return str(rel_path.with_suffix(""))
-        return str(rel_path)
-
    def parse_date(self, value: Any) -> Optional[datetime]:
        """Parse date strings using dateparser for maximum flexibility.

@@ -96,21 +83,18 @@ class EntityParser:
        if isinstance(value, datetime):
            return value
        if isinstance(value, str):
-            try:
-                parsed = dateparser.parse(value)
-                if parsed:
-                    return parsed
-            except Exception:
-                pass
+            parsed = dateparser.parse(value)
+            if parsed:
+                return parsed
        return None

    async def parse_file(self, file_path: Path) -> EntityMarkdown:
        """Parse markdown file into EntityMarkdown."""
-        
+
        absolute_path = self.base_path / file_path
        # Parse frontmatter and content using python-frontmatter
        post = frontmatter.load(str(absolute_path))
-        
+
        # Extract file stat info
        file_stats = absolute_path.stat()

@@ -134,4 +118,3 @@ class EntityParser:
            created=datetime.fromtimestamp(file_stats.st_ctime),
            modified=datetime.fromtimestamp(file_stats.st_mtime),
        )
-
@@ -19,7 +19,7 @@ class DirtyFileError(Exception):

 class MarkdownProcessor:
    """Process markdown files while preserving content and structure.
-    
+
    used only for import

    This class handles the file I/O aspects of our markdown processing. It:
@@ -90,14 +90,14 @@ class MarkdownProcessor:

        # Convert frontmatter to dict
        frontmatter_dict = OrderedDict()
-        frontmatter_dict["title"] =  markdown.frontmatter.title
-        frontmatter_dict["type"] =  markdown.frontmatter.type
+        frontmatter_dict["title"] = markdown.frontmatter.title
+        frontmatter_dict["type"] = markdown.frontmatter.type
        frontmatter_dict["permalink"] = markdown.frontmatter.permalink
-        
+
        metadata = markdown.frontmatter.metadata or {}
-        for k,v in metadata.items():
+        for k, v in metadata.items():
            frontmatter_dict[k] = v
-        
+
        # Start with user content (or minimal title for new files)
        content = markdown.content or f"# {markdown.frontmatter.title}\n"

@@ -107,7 +107,7 @@ class MarkdownProcessor:
        # add a blank line if we have semantic content
        if markdown.observations or markdown.relations:
            content += "\n"
-            
+
        if markdown.observations:
            content += self.format_observations(markdown.observations)
        if markdown.relations:
@@ -8,19 +8,19 @@ from markdown_it.token import Token
 # Observation handling functions
 def is_observation(token: Token) -> bool:
    """Check if token looks like our observation format."""
-    if token.type != 'inline':
+    if token.type != "inline":  # pragma: no cover
        return False
-        
+
    content = token.content.strip()
-    if not content:
+    if not content:  # pragma: no cover
        return False
-    
+
    # if it's a markdown_task, return false
-    if content.startswith('[ ]') or content.startswith('[x]') or content.startswith('[-]'):
+    if content.startswith("[ ]") or content.startswith("[x]") or content.startswith("[-]"):
        return False
-    
-    has_category = content.startswith('[') and ']' in content
-    has_tags = '#' in content
+
+    has_category = content.startswith("[") and "]" in content
+    has_tags = "#" in content
    return has_category or has_tags


@@ -28,119 +28,126 @@ def parse_observation(token: Token) -> Dict[str, Any]:
    """Extract observation parts from token."""
    # Strip bullet point if present
    content = token.content.strip()
-    if content.startswith('- '):
-        content = content[2:].strip()
-    elif content.startswith('-'):
-        content = content[1:].strip()
-    
+
    # Parse [category]
    category = None
-    if content.startswith('['):
-        end = content.find(']')
+    if content.startswith("["):
+        end = content.find("]")
        if end != -1:
            category = content[1:end].strip() or None  # Convert empty to None
-            content = content[end + 1:].strip()
-    
+            content = content[end + 1 :].strip()
+
    # Parse (context)
    context = None
-    if content.endswith(')'):
-        start = content.rfind('(')
+    if content.endswith(")"):
+        start = content.rfind("(")
        if start != -1:
-            context = content[start + 1:-1].strip()
+            context = content[start + 1 : -1].strip()
            content = content[:start].strip()
-    
-    # Parse #tags and content
+
+    # Extract tags and keep original content
+    tags = []
    parts = content.split()
-    content_parts = []
-    tags = set()  # Use set to avoid duplicates
-    
    for part in parts:
-        if part.startswith('#'):
+        if part.startswith("#"):
            # Handle multiple #tags stuck together
-            if '#' in part[1:]:
+            if "#" in part[1:]:
                # Split on # but keep non-empty tags
-                subtags = [t for t in part.split('#') if t]
-                tags.update(subtags)
+                subtags = [t for t in part.split("#") if t]
+                tags.extend(subtags)
            else:
-                tags.add(part[1:])
-        else:
-            content_parts.append(part)
-    
+                tags.append(part[1:])
+
    return {
-        'category': category,
-        'content': content,
-        'tags': list(tags) if tags else None,
-        'context': context
+        "category": category,
+        "content": content,
+        "tags": tags if tags else None,
+        "context": context,
    }


 # Relation handling functions
 def is_explicit_relation(token: Token) -> bool:
    """Check if token looks like our relation format."""
-    if token.type != 'inline':
+    if token.type != "inline":  # pragma: no cover
        return False
-    
+
    content = token.content.strip()
-    return '[[' in content and ']]' in content
+    return "[[" in content and "]]" in content


-def parse_relation(token: Token) -> Dict[str, Any]:
+def parse_relation(token: Token) -> Dict[str, Any] | None:
    """Extract relation parts from token."""
    # Remove bullet point if present
    content = token.content.strip()
-    if content.startswith('- '):
-        content = content[2:].strip()
-    elif content.startswith('-'):
-        content = content[1:].strip()
-    
+
    # Extract [[target]]
    target = None
-    rel_type = 'relates_to'  # default
+    rel_type = "relates_to"  # default
    context = None
-    
-    start = content.find('[[')
-    end = content.find(']]')
-    
+
+    start = content.find("[[")
+    end = content.find("]]")
+
    if start != -1 and end != -1:
        # Get text before link as relation type
        before = content[:start].strip()
        if before:
            rel_type = before
-            
+
        # Get target
-        target = content[start + 2:end].strip()
-        
+        target = content[start + 2 : end].strip()
+
        # Look for context after
-        after = content[end + 2:].strip()
-        if after.startswith('(') and after.endswith(')'):
+        after = content[end + 2 :].strip()
+        if after.startswith("(") and after.endswith(")"):
            context = after[1:-1].strip() or None
-    
-    if not target:
+
+    if not target:  # pragma: no cover
        return None
-        
-    return {
-        'type': rel_type,
-        'target': target,
-        'context': context
-    }
+
+    return {"type": rel_type, "target": target, "context": context}


 def parse_inline_relations(content: str) -> List[Dict[str, Any]]:
    """Find wiki-style links in regular content."""
    relations = []
-    
-    import re
-    pattern = r'\[\[([^\]]+)\]\]'
-    
-    for match in re.finditer(pattern, content):
-        target = match.group(1).strip()
-        if target and not target.startswith('[['):  # Avoid nested matches
-            relations.append({
-                'type': 'links to',
-                'target': target,
-                'context': None
-            })
-            
+    start = 0
+
+    while True:
+        # Find next outer-most [[
+        start = content.find("[[", start)
+        if start == -1:  # pragma: no cover
+            break
+
+        # Find matching ]]
+        depth = 1
+        pos = start + 2
+        end = -1
+
+        while pos < len(content):
+            if content[pos : pos + 2] == "[[":
+                depth += 1
+                pos += 2
+            elif content[pos : pos + 2] == "]]":
+                depth -= 1
+                if depth == 0:
+                    end = pos
+                    break
+                pos += 2
+            else:
+                pos += 1
+
+        if end == -1:
+            # No matching ]] found
+            break
+
+        target = content[start + 2 : end].strip()
+        if target:
+            relations.append({"type": "links to", "target": target, "context": None})
+
+        start = end + 2
+
    return relations


@@ -149,88 +156,67 @@ def observation_plugin(md: MarkdownIt) -> None:
    - [category] Content text #tag1 #tag2 (context)
    - Content text #tag1 (context)  # No category is also valid
    """
-    
+
    def observation_rule(state: Any) -> None:
        """Process observations in token stream."""
        tokens = state.tokens
-        current_section = None
-        in_list_item = False
-        
+
        for idx in range(len(tokens)):
            token = tokens[idx]
-            
-            # Track current section by headings
-            if token.type == 'heading_open':
-                next_token = tokens[idx + 1] if idx + 1 < len(tokens) else None
-                if next_token and next_token.type == 'inline':
-                    current_section = next_token.content.lower()
-            
-            # Track list nesting
-            elif token.type == 'list_item_open':
-                in_list_item = True
-            elif token.type == 'list_item_close':
-                in_list_item = False
-            
+
            # Initialize meta for all tokens
            token.meta = token.meta or {}
-            
+
            # Parse observations in list items
-            if token.type == 'inline' and is_observation(token):
+            if token.type == "inline" and is_observation(token):
                obs = parse_observation(token)
-                if obs['content']:  # Only store if we have content
-                    token.meta['observation'] = obs
-    
+                if obs["content"]:  # Only store if we have content
+                    token.meta["observation"] = obs
+
    # Add the rule after inline processing
-    md.core.ruler.after('inline', 'observations', observation_rule)
+    md.core.ruler.after("inline", "observations", observation_rule)


 def relation_plugin(md: MarkdownIt) -> None:
    """Plugin for parsing relation formats:
-    
+
    Explicit relations:
    - relation_type [[target]] (context)
-    
+
    Implicit relations (links in content):
    Some text with [[target]] reference
    """
-    
+
    def relation_rule(state: Any) -> None:
        """Process relations in token stream."""
        tokens = state.tokens
-        current_section = None
        in_list_item = False
-        
+
        for idx in range(len(tokens)):
            token = tokens[idx]
-            
-            # Track current section by headings
-            if token.type == 'heading_open':
-                next_token = tokens[idx + 1] if idx + 1 < len(tokens) else None
-                if next_token and next_token.type == 'inline':
-                    current_section = next_token.content.lower()
-            
+
            # Track list nesting
-            elif token.type == 'list_item_open':
+            if token.type == "list_item_open":
                in_list_item = True
-            elif token.type == 'list_item_close':
+            elif token.type == "list_item_close":
                in_list_item = False
-            
+
            # Initialize meta for all tokens
            token.meta = token.meta or {}
-            
+
            # Only process inline tokens
-            if token.type == 'inline':
+            if token.type == "inline":
                # Check for explicit relations in list items
                if in_list_item and is_explicit_relation(token):
                    rel = parse_relation(token)
                    if rel:
-                        token.meta['relations'] = [rel]
-                
+                        token.meta["relations"] = [rel]
+
                # Always check for inline links in any text
-                elif '[[' in token.content:
+                elif "[[" in token.content:
                    rels = parse_inline_relations(token.content)
                    if rels:
-                        token.meta['relations'] = token.meta.get('relations', []) + rels
-    
+                        token.meta["relations"] = token.meta.get("relations", []) + rels
+
    # Add the rule after inline processing
-    md.core.ruler.after('inline', 'relations', relation_rule)
+    md.core.ruler.after("inline", "relations", relation_rule)
@@ -13,7 +13,7 @@ class Observation(BaseModel):
    content: str
    tags: Optional[List[str]] = None
    context: Optional[str] = None
-    
+
    def __str__(self) -> str:
        obs_string = f"- [{self.category}] {self.content}"
        if self.context:
@@ -27,7 +27,7 @@ class Relation(BaseModel):
    type: str
    target: str
    context: Optional[str] = None
-    
+
    def __str__(self) -> str:
        rel_string = f"- {self.type} [[{self.target}]]"
        if self.context:
@@ -38,24 +38,23 @@ class Relation(BaseModel):
 class EntityFrontmatter(BaseModel):
    """Required frontmatter fields for an entity."""

-    metadata: Optional[dict] = None
+    metadata: dict = {}

    @property
    def tags(self) -> List[str]:
-        return self.metadata.get("tags") if self.metadata else []
+        return self.metadata.get("tags") if self.metadata else []  # pyright: ignore

    @property
    def title(self) -> str:
-        return self.metadata.get("title") if self.metadata else None
+        return self.metadata.get("title") if self.metadata else None  # pyright: ignore

    @property
    def type(self) -> str:
-        return self.metadata.get("type", "note") if self.metadata else "note"
+        return self.metadata.get("type", "note") if self.metadata else "note"  # pyright: ignore

    @property
    def permalink(self) -> str:
-        return self.metadata.get("permalink") if self.metadata else None
-
+        return self.metadata.get("permalink") if self.metadata else None  # pyright: ignore


 class EntityMarkdown(BaseModel):
@@ -1,144 +1,93 @@
+"""Utilities for converting between markdown and entity models."""
+
 from pathlib import Path
-from typing import Optional
+from typing import Optional, Any

 from frontmatter import Post

-from basic_memory.markdown import EntityMarkdown, EntityFrontmatter, Observation, Relation
-from basic_memory.markdown.entity_parser import parse
-from basic_memory.models import Entity, ObservationCategory, Observation as ObservationModel
+from basic_memory.markdown import EntityMarkdown
+from basic_memory.models import Entity, Observation as ObservationModel
 from basic_memory.utils import generate_permalink


-def entity_model_to_markdown(entity: Entity, content: Optional[str] = None) -> EntityMarkdown:
+def entity_model_from_markdown(
+    file_path: Path, markdown: EntityMarkdown, entity: Optional[Entity] = None
+) -> Entity:
    """
-    Converts an entity model to its Markdown representation, including metadata,
-    observations, relations, and content. Ensures that observations and relations
-    from the provided content are synchronized with the entity model. Removes
-    duplicate or unmatched observations and relations from the content to maintain
-    consistency.
-
-    :param entity: An instance of the Entity class containing metadata, observations,
-        relations, and other properties of the entity.
-    :type entity: Entity
-    :param content: Optional raw Markdown-formatted content to be parsed for semantic
-        information like observations or relations.
-    :type content: Optional[str]
-    :return: An instance of the EntityMarkdown class containing the entity's
-        frontmatter, observations, relations, and sanitized content formatted
-        in Markdown.
-    :rtype: EntityMarkdown
-    """
-    metadata = entity.entity_metadata or {}
-    metadata["type"] = entity.entity_type or "note"
-    metadata["title"] = entity.title
-    metadata["permalink"] = entity.permalink
-
-    # convert model to markdown
-    entity_observations = [
-        Observation(
-            category=obs.category,
-            content=obs.content,
-            tags=obs.tags if obs.tags else None,
-            context=obs.context,
-        )
-        for obs in entity.observations
-    ]
-
-    entity_relations = [
-        Relation(
-            type=r.relation_type,
-            target=r.to_entity.title if r.to_entity else r.to_name,
-            context=r.context,
-        )
-        for r in entity.outgoing_relations
-    ]
-
-    observations = entity_observations
-    relations = entity_relations
-
-    # parse the content to see if it has semantic info (observations/relations)
-    entity_content = parse(content) if content else None
-
-    if entity_content:
-        # remove if they are already in the content
-        observations = [o for o in entity_observations if o not in entity_content.observations]
-        relations = [r for r in entity_relations if r not in entity_content.relations]
-
-        # remove from the content if not present in the db entity
-        for o in entity_content.observations:
-            if o not in entity_observations:
-                content = content.replace(str(o), "")
-
-        for r in entity_content.relations:
-            if r not in entity_relations:
-                content = content.replace(str(r), "")
-
-    return EntityMarkdown(
-        frontmatter=EntityFrontmatter(metadata=metadata),
-        content=content,
-        observations=observations,
-        relations=relations,
-        created = entity.created_at,
-        modified = entity.updated_at,
-    )
-
-
-def entity_model_from_markdown(file_path: Path, markdown: EntityMarkdown, entity: Optional[Entity] = None) -> Entity:
-    """
-    Convert markdown entity to model.
-    Does not include relations.
+    Convert markdown entity to model. Does not include relations.

    Args:
+        file_path: Path to the markdown file
        markdown: Parsed markdown entity
-        include_relations: Whether to include relations. Set False for first sync pass.
+        entity: Optional existing entity to update
+
+    Returns:
+        Entity model populated from markdown
+
+    Raises:
+        ValueError: If required datetime fields are missing from markdown
    """

-    # Validate/default category
-    def get_valid_category(obs):
-        if not obs.category or obs.category not in [c.value for c in ObservationCategory]:
-            return ObservationCategory.NOTE.value
-        return obs.category
+    if not markdown.created or not markdown.modified:  # pragma: no cover
+        raise ValueError("Both created and modified dates are required in markdown")

+    # Generate permalink if not provided
    permalink = markdown.frontmatter.permalink or generate_permalink(file_path)
+
+    # Create or update entity
    model = entity or Entity()
-    
-    model.title=markdown.frontmatter.title
-    model.entity_type=markdown.frontmatter.type
-    model.permalink=permalink
-    model.file_path=str(file_path)
-    model.content_type="text/markdown"
-    model.created_at=markdown.created
-    model.updated_at=markdown.modified
-    model.entity_metadata={k:str(v) for k,v in markdown.frontmatter.metadata.items()}
-    model.observations=[
-            ObservationModel(
-                content=obs.content,
-                category=get_valid_category(obs),
-                context=obs.context,
-                tags=obs.tags,
-            )
-            for obs in markdown.observations
-        ]
-    
+
+    # Update basic fields
+    model.title = markdown.frontmatter.title
+    model.entity_type = markdown.frontmatter.type
+    model.permalink = permalink
+    model.file_path = str(file_path)
+    model.content_type = "text/markdown"
+    model.created_at = markdown.created
+    model.updated_at = markdown.modified
+
+    # Handle metadata - ensure all values are strings and filter None
+    metadata = markdown.frontmatter.metadata or {}
+    model.entity_metadata = {k: str(v) for k, v in metadata.items() if v is not None}
+
+    # Convert observations
+    model.observations = [
+        ObservationModel(
+            content=obs.content,
+            category=obs.category,
+            context=obs.context,
+            tags=obs.tags,
+        )
+        for obs in markdown.observations
+    ]
+
    return model

-async def schema_to_markdown(schema):
+
+async def schema_to_markdown(schema: Any) -> Post:
    """
-    Convert schema to markdown.
-    :param schema: the schema to convert 
-    :return: Post 
+    Convert schema to markdown Post object.
+
+    Args:
+        schema: Schema to convert (must have title, entity_type, and permalink attributes)
+
+    Returns:
+        Post object with frontmatter metadata
    """
-    # Create Post object
+    # Extract content and metadata
    content = schema.content or ""
-    frontmatter_metadata = schema.entity_metadata or {}
-    
-    # remove from map so we can define ordering in frontmatter
-    if "type" in frontmatter_metadata:
-        del frontmatter_metadata["type"]
-    if "title" in frontmatter_metadata:
-        del frontmatter_metadata["title"]
-    if "permalink" in frontmatter_metadata:
-        del frontmatter_metadata["permalink"]
-        
-    post = Post(content, title=schema.title, type=schema.entity_type, permalink=schema.permalink, **frontmatter_metadata)
+    frontmatter_metadata = dict(schema.entity_metadata or {})
+
+    # Remove special fields for ordered frontmatter
+    for field in ["type", "title", "permalink"]:
+        frontmatter_metadata.pop(field, None)
+
+    # Create Post with ordered fields
+    post = Post(
+        content,
+        title=schema.title,
+        type=schema.entity_type,
+        permalink=schema.permalink,
+        **frontmatter_metadata,
+    )
    return post
@@ -1 +1 @@
-"""MCP server for basic-memory."""
+"""MCP server for basic-memory."""
@@ -2,9 +2,7 @@ from httpx import ASGITransport, AsyncClient

 from basic_memory.api.app import app as fastapi_app

-BASE_URL = "http://test"
+BASE_URL = "memory://"

 # Create shared async client
 client = AsyncClient(transport=ASGITransport(app=fastapi_app), base_url=BASE_URL)
-
-
@@ -1,21 +0,0 @@
-"""Main MCP entrypoint for Basic Memory.
-
-Creates and configures the shared MCP instance and handles server startup.
-"""
-
-from loguru import logger
-
-from basic_memory.config import config
-
-# Import shared mcp instance
-from basic_memory.mcp.server import mcp
-
-# Import tools to register them
-import basic_memory.mcp.tools # noqa: F401
-
-
-if __name__ == "__main__":
-    home_dir = config.home
-    logger.info("Starting Basic Memory MCP server")
-    logger.info(f"Home directory: {home_dir}")
-    mcp.run()
@@ -1,39 +1,15 @@
 """Enhanced FastMCP server instance for Basic Memory."""
-import sys

-from loguru import logger
 from mcp.server.fastmcp import FastMCP
-from mcp.server.fastmcp.utilities.logging import configure_logging

-from basic_memory.config import config
+from basic_memory.utils import setup_logging

 # mcp console logging
-configure_logging(level="INFO")
+# configure_logging(level='INFO')


-def setup_logging(home_dir: str = config.home, log_file: str = ".basic-memory/basic-memory.log"):
-    """Configure file logging to the basic-memory home directory."""
-    log = f"{home_dir}/{log_file}"
-
-    # Add file handler with rotation
-    logger.add(
-        log,
-        rotation="100 MB",
-        retention="10 days",
-        backtrace=True,
-        diagnose=True,
-        enqueue=True,
-        colorize=False,
-    )
-
-    # Add stderr handler
-    logger.add(
-        sys.stderr,
-        colorize=True,
-    )
-
 # start our out file logging
-setup_logging()
+setup_logging(log_file=".basic-memory/basic-memory.log")

 # Create the shared server instance
 mcp = FastMCP("Basic Memory")
@@ -7,8 +7,10 @@ all tools with the MCP server.

 # Import tools to register them with MCP
 from basic_memory.mcp.tools.memory import build_context, recent_activity
-#from basic_memory.mcp.tools.ai_edit import ai_edit
+
+# from basic_memory.mcp.tools.ai_edit import ai_edit
 from basic_memory.mcp.tools.notes import read_note, write_note
+from basic_memory.mcp.tools.search import search

 from basic_memory.mcp.tools.knowledge import (
    delete_entities,
@@ -26,9 +28,9 @@ __all__ = [
    # memory tools
    "build_context",
    "recent_activity",
-    #notes
+    # notes
    "read_note",
    "write_note",
    # file edit
-    #"ai_edit",
+    # "ai_edit",
 ]
@@ -1,84 +0,0 @@
-"""Tool for AI-assisted file editing."""
-
-from pathlib import Path
-from typing import List, Dict, Any
-
-from basic_memory.mcp.server import mcp
-
-
-def _detect_indent(text: str, match_pos: int) -> int:
-    """Get indentation level at a position in text."""
-    # Find start of line containing the match
-    line_start = text.rfind("\n", 0, match_pos)
-    if line_start < 0:
-        line_start = 0
-    else:
-        line_start += 1  # Skip newline char
-
-    # Count leading spaces
-    pos = line_start
-    while pos < len(text) and text[pos].isspace():
-        pos += 1
-    return pos - line_start
-
-
-def _apply_indent(text: str, spaces: int) -> str:
-    """Apply indentation to text."""
-    prefix = " " * spaces
-    return "\n".join(prefix + line if line.strip() else line for line in text.split("\n"))
-
-
-@mcp.tool()
-async def ai_edit(path: str, edits: List[Dict[str, Any]]) -> bool:
-    """AI-assisted file editing tool.
-
-    Args:
-        path: Path to file to edit
-        edits: List of edits to apply. Each edit is a dict with:
-            oldText: Text to replace
-            newText: New content
-            options: Optional dict with:
-                indent: Number of spaces to indent
-                preserveIndentation: Keep existing indent (default: true)
-
-    Returns:
-        bool: True if edits were applied successfully
-    """
-    try:
-        # Read file
-        content = Path(path).read_text()
-        original = content
-        success = True
-
-        # Apply each edit
-        for edit in edits:
-            old_text = edit["oldText"]
-            new_text = edit["newText"]
-            options = edit.get("options", {})
-
-            # Find text to replace
-            match_pos = content.find(old_text)
-            if match_pos < 0:
-                success = False
-                continue
-
-            # Handle indentation
-            if not options.get("preserveIndentation", True):
-                # Use existing indentation
-                indent = _detect_indent(content, match_pos)
-                new_text = _apply_indent(new_text, indent)
-            elif "indent" in options:
-                # Use specified indentation
-                new_text = _apply_indent(new_text, options["indent"])
-
-            # Apply the edit
-            content = content.replace(old_text, new_text)
-
-        # Write back if changed
-        if content != original:
-            Path(path).write_text(content)
-        return success
-
-    except Exception as e:
-        print(f"Error applying edits: {e}")
-        return False
@@ -2,7 +2,7 @@

 from basic_memory.mcp.server import mcp
 from basic_memory.mcp.tools.utils import call_get, call_post
-from basic_memory.schemas.base import PathId
+from basic_memory.schemas.base import Permalink
 from basic_memory.schemas.request import (
    GetEntitiesRequest,
 )
@@ -16,7 +16,7 @@ from basic_memory.mcp.async_client import client
@mcp.tool(
    description="Get complete information about a specific entity including observations and relations",
 )
-async def get_entity(permalink: PathId) -> EntityResponse:
+async def get_entity(permalink: Permalink) -> EntityResponse:
    """Get a specific entity info by its permalink.

    Args:
@@ -7,9 +7,13 @@ from loguru import logger
 from basic_memory.mcp.async_client import client
 from basic_memory.mcp.server import mcp
 from basic_memory.mcp.tools.utils import call_get
-from basic_memory.schemas.memory import GraphContext, MemoryUrl, memory_url, memory_url_path, normalize_memory_url
+from basic_memory.schemas.memory import (
+    GraphContext,
+    MemoryUrl,
+    memory_url_path,
+    normalize_memory_url,
+)
 from basic_memory.schemas.base import TimeFrame
-from basic_memory.schemas.search import SearchItemType


@mcp.tool(
@@ -84,7 +88,7 @@ async def build_context(
    """,
 )
 async def recent_activity(
-    type: List[Literal["entity", "observation", "relation"]] = None,
+    type: List[Literal["entity", "observation", "relation"]] = [],
    depth: Optional[int] = 1,
    timeframe: Optional[TimeFrame] = "7d",
    max_results: int = 10,
@@ -136,7 +140,7 @@ async def recent_activity(
        "timeframe": timeframe,
        "max_results": max_results,
    }
-    if type: 
+    if type:
        params["type"] = type

    response = await call_get(
@@ -13,6 +13,7 @@ from basic_memory.mcp.async_client import client
 from basic_memory.schemas import EntityResponse, DeleteEntitiesResponse
 from basic_memory.schemas.base import Entity
 from basic_memory.mcp.tools.utils import call_get, call_put, call_delete
+from basic_memory.schemas.memory import memory_url_path


@mcp.tool(
@@ -96,7 +97,9 @@ async def read_note(identifier: str) -> str:
    Raises:
        ValueError: If the note cannot be found
    """
-    response = await call_get(client, f"/resource/{identifier}")
+    logger.info(f"Reading note {identifier}")
+    url = memory_url_path(identifier)
+    response = await call_get(client, f"/resource/{url}")
    return response.text


@@ -1,4 +1,5 @@
 """Search tools for Basic Memory MCP server."""
+
 from loguru import logger

 from basic_memory.mcp.server import mcp
@@ -24,5 +25,5 @@ async def search(query: SearchQuery) -> SearchResponse:
        SearchResponse with search results and metadata
    """
    logger.info(f"Searching for {query.text}")
-    response = await call_post(client,"/search/", json=query.model_dump())
+    response = await call_post(client, "/search/", json=query.model_dump())
    return SearchResponse.model_validate(response.json())
@@ -45,7 +45,7 @@ async def call_get(
        return response
    except HTTPStatusError as e:
        logger.error(f"Error calling GET {url}: {e}")
-        raise ToolError(f"Error calling tool: {e}. Response: {response.text}") from e
+        raise ToolError(f"Error calling tool: {e}.") from e


 async def call_put(
@@ -2,7 +2,7 @@

 import basic_memory
 from basic_memory.models.base import Base
-from basic_memory.models.knowledge import Entity, Observation, Relation, ObservationCategory
+from basic_memory.models.knowledge import Entity, Observation, Relation

 SCHEMA_VERSION = basic_memory.__version__ + "-" + "003"

@@ -10,6 +10,5 @@ __all__ = [
    "Base",
    "Entity",
    "Observation",
-    "ObservationCategory",
    "Relation",
 ]
@@ -1,10 +1,10 @@
 """Base model class for SQLAlchemy models."""
-from sqlalchemy import String, Integer
+
 from sqlalchemy.ext.asyncio import AsyncAttrs
-from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
+from sqlalchemy.orm import DeclarativeBase


 class Base(AsyncAttrs, DeclarativeBase):
    """Base class for all models"""
-    pass

+    pass
@@ -1,6 +1,5 @@
 """Knowledge graph models."""

-import re
 from datetime import datetime
 from typing import Optional

@@ -14,17 +13,15 @@ from sqlalchemy import (
    Index,
    JSON,
 )
-from sqlalchemy.orm import Mapped, mapped_column, relationship, validates
+from sqlalchemy.orm import Mapped, mapped_column, relationship

 from basic_memory.models.base import Base
-from enum import Enum

 from basic_memory.utils import generate_permalink


 class Entity(Base):
-    """
-    Core entity in the knowledge graph.
+    """Core entity in the knowledge graph.

    Entities represent semantic nodes maintained by the AI layer. Each entity:
    - Has a unique numeric ID (database-generated)
@@ -79,44 +76,15 @@ class Entity(Base):

    @property
    def relations(self):
+        """Get all relations (incoming and outgoing) for this entity."""
        return self.incoming_relations + self.outgoing_relations

-    @validates("permalink")
-    def validate_permalink(self, key, value):
-        """Validate permalink format.
-
-        Requirements:
-        1. Must be valid URI path component
-        2. Only lowercase letters, numbers, and hyphens (no underscores)
-        3. Path segments separated by forward slashes
-        4. No leading/trailing hyphens in segments
-        """
-        if not value:
-            raise ValueError("Permalink must not be None")
-
-        if not re.match(r"^[a-z0-9][a-z0-9\-/]*[a-z0-9]$", value):
-            raise ValueError(
-                f"Invalid permalink format: {value}. "
-                "Use only lowercase letters, numbers, and hyphens."
-            )
-        return value
-
    def __repr__(self) -> str:
        return f"Entity(id={self.id}, name='{self.title}', type='{self.entity_type}'"


-class ObservationCategory(str, Enum):
-    TECH = "tech"
-    DESIGN = "design"
-    FEATURE = "feature"
-    NOTE = "note"
-    ISSUE = "issue"
-    TODO = "todo"
-
-
 class Observation(Base):
-    """
-    An observation about an entity.
+    """An observation about an entity.

    Observations are atomic facts or notes about an entity.
    """
@@ -130,13 +98,8 @@ class Observation(Base):
    id: Mapped[int] = mapped_column(Integer, primary_key=True)
    entity_id: Mapped[int] = mapped_column(Integer, ForeignKey("entity.id", ondelete="CASCADE"))
    content: Mapped[str] = mapped_column(Text)
-    category: Mapped[str] = mapped_column(
-        String,
-        nullable=False,
-        default=ObservationCategory.NOTE.value,
-        server_default=ObservationCategory.NOTE.value,
-    )
-    context: Mapped[str] = mapped_column(Text, nullable=True)
+    category: Mapped[str] = mapped_column(String, nullable=False, default="note")
+    context: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
    tags: Mapped[Optional[list[str]]] = mapped_column(
        JSON, nullable=True, default=list, server_default="[]"
    )
@@ -146,23 +109,21 @@ class Observation(Base):

    @property
    def permalink(self) -> str:
-        """
-        Create synthetic permalink for the observation
-            We can construct these because observations are always
-            defined in and owned by a single entity
+        """Create synthetic permalink for the observation.
+
+        We can construct these because observations are always defined in
+        and owned by a single entity.
        """
        return generate_permalink(
            f"{self.entity.permalink}/observations/{self.category}/{self.content}"
        )

-    def __repr__(self) -> str:
+    def __repr__(self) -> str:  # pragma: no cover
        return f"Observation(id={self.id}, entity_id={self.entity_id}, content='{self.content}')"


 class Relation(Base):
-    """
-    A directed relation between two entities.
-    """
+    """A directed relation between two entities."""

    __tablename__ = "relation"
    __table_args__ = (
@@ -174,12 +135,12 @@ class Relation(Base):

    id: Mapped[int] = mapped_column(Integer, primary_key=True)
    from_id: Mapped[int] = mapped_column(Integer, ForeignKey("entity.id", ondelete="CASCADE"))
-    to_id: Mapped[int] = mapped_column(
+    to_id: Mapped[Optional[int]] = mapped_column(
        Integer, ForeignKey("entity.id", ondelete="CASCADE"), nullable=True
    )
    to_name: Mapped[str] = mapped_column(String)
    relation_type: Mapped[str] = mapped_column(String)
-    context: Mapped[str] = mapped_column(Text, nullable=True)
+    context: Mapped[Optional[str]] = mapped_column(Text, nullable=True)

    # Relationships
    from_entity = relationship(
@@ -189,15 +150,17 @@ class Relation(Base):

    @property
    def permalink(self) -> str:
-        """Create relation permalink showing the semantic connection:
-        source/relation_type/target
-        e.g., "specs/search/implements/features/search-ui"
-        """
+        """Create relation permalink showing the semantic connection.

+        Format: source/relation_type/target
+        Example: "specs/search/implements/features/search-ui"
+        """
+        if self.to_entity:
+            return generate_permalink(
+                f"{self.from_entity.permalink}/{self.relation_type}/{self.to_entity.permalink}"
+            )
        return generate_permalink(
-            f"{self.from_entity.permalink}/{self.relation_type}/{self.to_entity.permalink}"
-            if self.to_entity
-            else f"{self.from_entity.permalink}/{self.relation_type}/{self.to_name}"
+            f"{self.from_entity.permalink}/{self.relation_type}/{self.to_name}"
        )

    def __repr__(self) -> str:
@@ -31,4 +31,4 @@ CREATE VIRTUAL TABLE IF NOT EXISTS search_index USING fts5(
    tokenize='unicode61 tokenchars 0x2F',  -- Hex code for /
    prefix='1,2,3,4'                    -- Support longer prefixes for paths
 );
-""")
+""")
@@ -2,6 +2,8 @@ from .entity_repository import EntityRepository
 from .observation_repository import ObservationRepository
 from .relation_repository import RelationRepository

-__all__ = ["EntityRepository", "ObservationRepository", "RelationRepository", ]
-
-
+__all__ = [
+    "EntityRepository",
+    "ObservationRepository",
+    "RelationRepository",
+]
@@ -1,8 +1,8 @@
 """Repository for managing entities in the knowledge graph."""

-from typing import List, Optional, Sequence
+from pathlib import Path
+from typing import List, Optional, Sequence, Union

-from sqlalchemy import select, or_, asc
 from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
 from sqlalchemy.orm import selectinload
 from sqlalchemy.orm.interfaces import LoaderOption
@@ -12,109 +12,57 @@ from basic_memory.repository.repository import Repository


 class EntityRepository(Repository[Entity]):
-    """Repository for Entity model."""
+    """Repository for Entity model.
+
+    Note: All file paths are stored as strings in the database. Convert Path objects
+    to strings before passing to repository methods.
+    """

    def __init__(self, session_maker: async_sessionmaker[AsyncSession]):
        """Initialize with session maker."""
        super().__init__(session_maker, Entity)

    async def get_by_permalink(self, permalink: str) -> Optional[Entity]:
-        """Get entity by permalink."""
+        """Get entity by permalink.
+
+        Args:
+            permalink: Unique identifier for the entity
+        """
        query = self.select().where(Entity.permalink == permalink).options(*self.get_load_options())
        return await self.find_one(query)

    async def get_by_title(self, title: str) -> Optional[Entity]:
-        """Get entity by title."""
+        """Get entity by title.
+
+        Args:
+            title: Title of the entity to find
+        """
        query = self.select().where(Entity.title == title).options(*self.get_load_options())
        return await self.find_one(query)

-    async def get_by_file_path(self, file_path: str) -> Optional[Entity]:
-        """Get entity by file_path."""
-        query = self.select().where(Entity.file_path == file_path).options(*self.get_load_options())
-        return await self.find_one(query)
+    async def get_by_file_path(self, file_path: Union[Path, str]) -> Optional[Entity]:
+        """Get entity by file_path.

-    async def list_entities(
-        self,
-        entity_type: Optional[str] = None,
-        sort_by: Optional[str] = "updated_at",
-        include_related: bool = False,
-    ) -> Sequence[Entity]:
-        """List all entities, optionally filtered by type and sorted."""
-        query = self.select()
-
-        # Always load base relations
-        query = query.options(*self.get_load_options())
-
-        # Apply filters
-        if entity_type:
-            # When include_related is True, get both:
-            # 1. Entities of the requested type
-            # 2. Entities that have relations with entities of the requested type
-            if include_related:
-                query = query.where(
-                    or_(
-                        Entity.entity_type == entity_type,
-                        Entity.outgoing_relations.any(
-                            Relation.to_entity.has(entity_type=entity_type)
-                        ),
-                        Entity.incoming_relations.any(
-                            Relation.from_entity.has(entity_type=entity_type)
-                        ),
-                    )
-                )
-            else:
-                query = query.where(Entity.entity_type == entity_type)
-
-        # Apply sorting
-        if sort_by:
-            sort_field = getattr(Entity, sort_by, Entity.updated_at)
-            query = query.order_by(asc(sort_field))
-
-        result = await self.execute_query(query)
-        return list(result.scalars().all())
-
-    async def get_entity_types(self) -> List[str]:
-        """Get list of distinct entity types."""
-        query = select(Entity.entity_type).distinct()
-
-        result = await self.execute_query(query, use_query_options=False)
-        return list(result.scalars().all())
-
-    async def search(self, query_str: str) -> List[Entity]:
+        Args:
+            file_path: Path to the entity file (will be converted to string internally)
        """
-        Search for entities.
-
-        Searches across:
-        - Entity names
-        - Entity types
-        - Entity descriptions
-        - Associated Observations content
-        """
-        search_term = f"%{query_str}%"
        query = (
            self.select()
-            .where(
-                or_(
-                    Entity.title.ilike(search_term),
-                    Entity.entity_type.ilike(search_term),
-                    Entity.summary.ilike(search_term),
-                    Entity.observations.any(Observation.content.ilike(search_term)),
-                )
-            )
+            .where(Entity.file_path == str(file_path))
            .options(*self.get_load_options())
        )
-        result = await self.execute_query(query)
-        return list(result.scalars().all())
+        return await self.find_one(query)

-    async def delete_entities_by_doc_id(self, doc_id: int) -> bool:
-        """Delete all entities associated with a document."""
-        return await self.delete_by_fields(doc_id=doc_id)
+    async def delete_by_file_path(self, file_path: Union[Path, str]) -> bool:
+        """Delete entity with the provided file_path.

-    async def delete_by_file_path(self, file_path: str) -> bool:
-        """Delete entity with the provided file_path."""
-        return await self.delete_by_fields(file_path=file_path)
+        Args:
+            file_path: Path to the entity file (will be converted to string internally)
+        """
+        return await self.delete_by_fields(file_path=str(file_path))

    def get_load_options(self) -> List[LoaderOption]:
+        """Get SQLAlchemy loader options for eager loading relationships."""
        return [
            selectinload(Entity.observations).selectinload(Observation.entity),
            # Load from_relations and both entities for each relation
@@ -126,8 +74,11 @@ class EntityRepository(Repository[Entity]):
        ]

    async def find_by_permalinks(self, permalinks: List[str]) -> Sequence[Entity]:
-        """Find multiple entities by their permalink."""
+        """Find multiple entities by their permalink.

+        Args:
+            permalinks: List of permalink strings to find
+        """
        # Handle empty input explicitly
        if not permalinks:
            return []
@@ -139,18 +90,3 @@ class EntityRepository(Repository[Entity]):

        result = await self.execute_query(query)
        return list(result.scalars().all())
-
-    async def delete_by_permalinks(self, permalinks: List[str]) -> int:
-        """Delete multiple entities by permalink."""
-
-        # Handle empty input explicitly
-        if not permalinks:
-            return 0
-
-        # Find matching entities
-        entities = await self.find_by_permalinks(permalinks)
-        if not entities:
-            return 0
-
-        # Use existing delete_by_ids
-        return await self.delete_by_ids([entity.id for entity in entities])
@@ -40,12 +40,6 @@ class RelationRepository(Repository[Relation]):
        )
        return await self.find_one(query)

-    async def find_by_entity(self, from_entity_id: int) -> Sequence[Relation]:
-        """Find all relations from a specific entity."""
-        query = select(Relation).filter(Relation.from_id == from_entity_id)
-        result = await self.execute_query(query)
-        return result.scalars().all()
-
    async def find_by_entities(self, from_id: int, to_id: int) -> Sequence[Relation]:
        """Find all relations between two entities."""
        query = select(Relation).where((Relation.from_id == from_id) & (Relation.to_id == to_id))
@@ -73,6 +67,5 @@ class RelationRepository(Repository[Relation]):
        result = await self.execute_query(query)
        return result.scalars().all()

-
    def get_load_options(self) -> List[LoaderOption]:
        return [selectinload(Relation.from_entity), selectinload(Relation.to_entity)]
@@ -1,6 +1,5 @@
 """Base repository implementation."""

-from datetime import datetime
 from typing import Type, Optional, Any, Sequence, TypeVar, List

 from loguru import logger
@@ -98,13 +97,6 @@ class Repository[T: Base]:
            entities = (self.Model,)
        return select(*entities)

-    async def refresh(self, instance: T, relationships: list[str] | None = None) -> None:
-        """Refresh instance and optionally specified relationships."""
-        logger.debug(f"Refreshing {self.Model.__name__} instance: {getattr(instance, 'id', None)}")
-        async with db.scoped_session(self.session_maker) as session:
-            await session.refresh(instance, relationships or [])
-            logger.debug(f"Refreshed relationships: {relationships}")
-
    async def find_all(self, skip: int = 0, limit: Optional[int] = 0) -> Sequence[T]:
        """Fetch records from the database with pagination."""
        logger.debug(f"Finding all {self.Model.__name__} (skip={skip}, limit={limit})")
@@ -149,35 +141,6 @@ class Repository[T: Base]:
            logger.debug(f"No {self.Model.__name__} found")
        return entity

-    async def find_modified_since(self, since: datetime) -> Sequence[T]:
-        """Find all records modified since the given timestamp.
-
-        This method assumes the model has an updated_at column. Override
-        in subclasses if a different column should be used.
-
-        Args:
-            since: Datetime to search from
-
-        Returns:
-            Sequence of records modified since the timestamp
-        """
-        logger.debug(f"Finding {self.Model.__name__} modified since: {since}")
-
-        if not hasattr(self.Model, "updated_at"):
-            raise AttributeError(f"{self.Model.__name__} does not have updated_at column")
-
-        query = (
-            select(self.Model)
-            .filter(self.Model.updated_at >= since)
-            .options(*self.get_load_options())
-        )
-
-        async with db.scoped_session(self.session_maker) as session:
-            result = await session.execute(query)
-            items = result.scalars().all()
-            logger.debug(f"Found {len(items)} modified {self.Model.__name__} records")
-            return items
-
    async def create(self, data: dict) -> T:
        """Create a new record from a model instance."""
        logger.debug(f"Creating {self.Model.__name__} from entity_data: {data}")
@@ -223,11 +186,11 @@ class Repository[T: Base]:
                    for key, value in entity_data.items():
                        if key in self.valid_columns:
                            setattr(entity, key, value)
-                            
+
                elif isinstance(entity_data, self.Model):
                    for column in self.Model.__table__.columns.keys():
                        setattr(entity, column, getattr(entity_data, column))
-                        
+
                await session.flush()  # Make sure changes are flushed
                await session.refresh(entity)  # Refresh

@@ -21,6 +21,8 @@ class SearchIndexRow:

    id: int
    type: str
+    permalink: str
+    file_path: str
    metadata: Optional[dict] = None

    # date values
@@ -30,13 +32,9 @@ class SearchIndexRow:
    # assigned in result
    score: Optional[float] = None

-    # Common fields
-    permalink: Optional[str] = None
-    file_path: Optional[str] = None
-
    # Type-specific fields
-    title: Optional[int] = None  # entity
-    content: Optional[int] = None  # entity, observation
+    title: Optional[str] = None  # entity
+    content: Optional[str] = None  # entity, observation
    entity_id: Optional[int] = None  # observations
    category: Optional[str] = None  # observations
    from_id: Optional[int] = None  # relations
@@ -70,6 +68,8 @@ class SearchRepository:

    async def init_search_index(self):
        """Create or recreate the search index."""
+
+        logger.info("Initializing search index")
        async with db.scoped_session(self.session_maker) as session:
            await session.execute(CREATE_SEARCH_INDEX)
            await session.commit()
@@ -79,8 +79,8 @@ class SearchRepository:
        For FTS5, special characters and phrases need to be quoted to be treated as a single token.
        """
        # List of special characters that need quoting
-        special_chars = ['/', '*', '-', '.', ' ', '(', ')', '[', ']', '"', "'"]
-        
+        special_chars = ["/", "*", "-", ".", " ", "(", ")", "[", "]", '"', "'"]
+
        # Check if term contains any special characters
        if any(c in term for c in special_chars):
            # If the term already contains quotes, escape them
@@ -94,16 +94,16 @@ class SearchRepository:
        permalink: Optional[str] = None,
        permalink_match: Optional[str] = None,
        title: Optional[str] = None,
-        types: List[SearchItemType] = None,
+        types: Optional[List[SearchItemType]] = None,
        after_date: Optional[datetime] = None,
-        entity_types: List[str] = None,
+        entity_types: Optional[List[str]] = None,
        limit: int = 10,
    ) -> List[SearchIndexRow]:
        """Search across all indexed content with fuzzy matching."""
        conditions = []
        params = {}
        order_by_clause = ""
-        
+
        # Handle text search for title and content
        if search_text:
            search_text = self._quote_search_term(search_text.lower().strip())
@@ -125,7 +125,7 @@ class SearchRepository:
        if permalink_match:
            params["permalink"] = self._quote_search_term(permalink_match)
            conditions.append("permalink MATCH :permalink")
-            
+
        # Handle type filter
        if types:
            type_list = ", ".join(f"'{t.value}'" for t in types)
@@ -140,13 +140,13 @@ class SearchRepository:
        if after_date:
            params["after_date"] = after_date
            conditions.append("datetime(created_at) > datetime(:after_date)")
-            
+
            # order by most recent first
            order_by_clause = ", updated_at DESC"

        # set limit on search query
        params["limit"] = limit
-        
+
        # Build WHERE clause
        where_clause = " AND ".join(conditions) if conditions else "1=1"

@@ -173,7 +173,7 @@ class SearchRepository:
            LIMIT :limit
        """

-        #logger.debug(f"Search {sql} params: {params}")
+        # logger.debug(f"Search {sql} params: {params}")
        async with db.scoped_session(self.session_maker) as session:
            result = await session.execute(text(sql), params)
            rows = result.fetchall()
@@ -199,9 +199,9 @@ class SearchRepository:
            for row in rows
        ]

-        #for r in results:
+        # for r in results:
        #    logger.debug(f"Search result: type:{r.type} title: {r.title} permalink: {r.permalink} score: {r.score}")
-        
+
        return results

    async def index_item(
@@ -248,17 +248,14 @@ class SearchRepository:
    async def execute_query(
        self,
        query: Executable,
-        params: Optional[Dict[str, Any]] = None,
+        params: Dict[str, Any],
    ) -> Result[Any]:
        """Execute a query asynchronously."""
-        #logger.debug(f"Executing query: {query}")
+        # logger.debug(f"Executing query: {query}, params: {params}")
        async with db.scoped_session(self.session_maker) as session:
            start_time = time.perf_counter()
-            if params:
-                result = await session.execute(query, params)
-            else:
-                result = await session.execute(query)
+            result = await session.execute(query, params)
            end_time = time.perf_counter()
            elapsed_time = end_time - start_time
            logger.debug(f"Query executed successfully in {elapsed_time:.2f}s.")
-            return result
+            return result
@@ -23,7 +23,7 @@ from basic_memory.schemas.delete import (
 from basic_memory.schemas.request import (
    SearchNodesRequest,
    GetEntitiesRequest,
-    CreateRelationsRequest, UpdateEntityRequest,
+    CreateRelationsRequest,
 )

 # Response models
@@ -40,7 +40,8 @@ from basic_memory.schemas.response import (
 # Discovery and analytics models
 from basic_memory.schemas.discovery import (
    EntityTypeList,
-    ObservationCategoryList, TypedEntityList,
+    ObservationCategoryList,
+    TypedEntityList,
 )

 # For convenient imports, export all models
@@ -55,7 +56,6 @@ __all__ = [
    "SearchNodesRequest",
    "GetEntitiesRequest",
    "CreateRelationsRequest",
-    "UpdateEntityRequest",
    # Responses
    "SQLAlchemyModel",
    "ObservationResponse",
@@ -69,5 +69,5 @@ __all__ = [
    # Discovery and Analytics
    "EntityTypeList",
    "ObservationCategoryList",
-    "TypedEntityList"
+    "TypedEntityList",
 ]
@@ -14,14 +14,13 @@ Key Concepts:
 import mimetypes
 import re
 from datetime import datetime
-from enum import Enum
 from pathlib import Path
 from typing import List, Optional, Annotated, Dict

 from annotated_types import MinLen, MaxLen
 from dateparser import parse

-from pydantic import BaseModel, BeforeValidator, Field, model_validator, ValidationError
+from pydantic import BaseModel, BeforeValidator, Field, model_validator

 from basic_memory.utils import generate_permalink

@@ -47,44 +46,6 @@ def to_snake_case(name: str) -> str:
    return s2.lower()


-def validate_path_format(path: str) -> str:
-    """Validate path has the correct format: not empty."""
-    if not path or not isinstance(path, str):
-        raise ValueError("Path must be a non-empty string")
-
-    return path
-
-
-class ObservationCategory(str, Enum):
-    """Categories for structuring observations.
-
-    Categories help organize knowledge and make it easier to find later:
-    - tech: Implementation details and technical notes
-    - design: Architecture decisions and patterns
-    - feature: User-facing capabilities
-    - note: General observations (default)
-    - issue: Problems or concerns
-    - todo: Future work items
-
-    Categories are case-insensitive for easier use.
-    """
-
-    TECH = "tech"
-    DESIGN = "design"
-    FEATURE = "feature"
-    NOTE = "note"
-    ISSUE = "issue"
-    TODO = "todo"
-
-    @classmethod
-    def _missing_(cls, value: str) -> "ObservationCategory":
-        """Handle case-insensitive lookup."""
-        try:
-            return cls(value.lower())
-        except ValueError:
-            return None
-
-
 def validate_timeframe(timeframe: str) -> str:
    """Convert human readable timeframes to a duration relative to the current time."""
    if not isinstance(timeframe, str):
@@ -110,12 +71,9 @@ def validate_timeframe(timeframe: str) -> str:
    return f"{days}d"


-TimeFrame = Annotated[
-    str,
-    BeforeValidator(validate_timeframe)
-]
+TimeFrame = Annotated[str, BeforeValidator(validate_timeframe)]

-PathId = Annotated[str, BeforeValidator(validate_path_format)]
+Permalink = Annotated[str, MinLen(1)]
 """Unique identifier in format '{path}/{normalized_name}'."""


@@ -149,14 +107,16 @@ ObservationStr = Annotated[
    MaxLen(1000),  # Keep reasonable length
 ]

+
 class Observation(BaseModel):
    """A single observation with category, content, and optional context."""

-    category: ObservationCategory
+    category: Optional[str] = None
    content: ObservationStr
    tags: Optional[List[str]] = Field(default_factory=list)
    context: Optional[str] = None

+
 class Relation(BaseModel):
    """Represents a directed edge between entities in the knowledge graph.

@@ -165,8 +125,8 @@ class Relation(BaseModel):
    or recipient entity.
    """

-    from_id: PathId
-    to_id: PathId
+    from_id: Permalink
+    to_id: Permalink
    relation_type: RelationType
    context: Optional[str] = None

@@ -181,7 +141,7 @@ class Entity(BaseModel):
    - Optional relations to other entities
    - Optional description for high-level overview
    """
-    
+
    # private field to override permalink
    _permalink: Optional[str] = None

@@ -192,28 +152,27 @@ class Entity(BaseModel):
    entity_metadata: Optional[Dict] = Field(default=None, description="Optional metadata")
    content_type: ContentType = Field(
        description="MIME type of the content (e.g. text/markdown, image/jpeg)",
-        examples=["text/markdown", "image/jpeg"], default="text/markdown"
+        examples=["text/markdown", "image/jpeg"],
+        default="text/markdown",
    )

    @property
    def file_path(self):
        """Get the file path for this entity based on its permalink."""
        return f"{self.folder}/{self.title}.md" if self.folder else f"{self.title}.md"
-    
+
    @property
-    def permalink(self) -> PathId:
+    def permalink(self) -> Permalink:
        """Get a url friendly path}."""
        return self._permalink or generate_permalink(self.file_path)

    @model_validator(mode="after")
-    @classmethod
-    def infer_content_type(cls, entity: "Entity") -> Dict | None:
-        """Infer content_type from file_path if not provided."""
-        if not entity.content_type:
-            path = Path(entity.file_path)
+    def infer_content_type(self) -> "Entity":  # pragma: no cover
+        if not self.content_type:
+            path = Path(self.file_path)
            if not path.exists():
-                return None
-            mime_type, _ = mimetypes.guess_type(path.name)
-            entity.content_type = mime_type or "text/plain"
-
-        return entity
+                self.content_type = "text/plain"
+            else:
+                mime_type, _ = mimetypes.guess_type(path.name)
+                self.content_type = mime_type or "text/plain"
+        return self
@@ -21,7 +21,7 @@ from typing import List, Annotated
 from annotated_types import MinLen
 from pydantic import BaseModel

-from basic_memory.schemas.base import Relation, Observation, PathId
+from basic_memory.schemas.base import Permalink


 class DeleteEntitiesRequest(BaseModel):
@@ -34,5 +34,4 @@ class DeleteEntitiesRequest(BaseModel):
    4. Deletes the corresponding markdown file
    """

-    permalinks: Annotated[List[PathId], MinLen(1)]
-
+    permalinks: Annotated[List[Permalink], MinLen(1)]
@@ -8,18 +8,21 @@ from basic_memory.schemas.response import EntityResponse

 class EntityTypeList(BaseModel):
    """List of unique entity types in the system."""
+
    types: List[str]


 class ObservationCategoryList(BaseModel):
    """List of unique observation categories in the system."""
+
    categories: List[str]


 class TypedEntityList(BaseModel):
    """List of entities of a specific type."""
+
    entity_type: str = Field(..., description="Type of entities in the list")
    entities: List[EntityResponse]
    total: int = Field(..., description="Total number of entities")
    sort_by: Optional[str] = Field(None, description="Field used for sorting")
-    include_related: bool = Field(False, description="Whether related entities are included")
+    include_related: bool = Field(False, description="Whether related entities are included")
@@ -1,11 +1,10 @@
 """Schemas for memory context."""

 from datetime import datetime
-from typing import Dict, List, Any, Optional, Annotated
+from typing import List, Optional, Annotated, Sequence

-import pydantic
 from annotated_types import MinLen, MaxLen
-from pydantic import BaseModel, field_validator, Field, BeforeValidator, TypeAdapter, AnyUrl
+from pydantic import BaseModel, Field, BeforeValidator, TypeAdapter

 from basic_memory.schemas.search import SearchItemType

@@ -32,19 +31,20 @@ def normalize_memory_url(url: str) -> str:
 MemoryUrl = Annotated[
    str,
    BeforeValidator(str.strip),  # Clean whitespace
-    MinLen(1),       
-    MaxLen(2028),   
+    MinLen(1),
+    MaxLen(2028),
 ]

-memory_url = TypeAdapter(MemoryUrl) 
+memory_url = TypeAdapter(MemoryUrl)

-def memory_url_path(url: memory_url) -> str:
+
+def memory_url_path(url: memory_url) -> str:  # pyright: ignore
    """
    Returns the uri for a url value by removing the prefix "memory://" from a given MemoryUrl.

    This function processes a given MemoryUrl by removing the "memory://"
-    prefix and returns the resulting string. If the provided url does not 
-    begin with "memory://", the function will simply return the input url 
+    prefix and returns the resulting string. If the provided url does not
+    begin with "memory://", the function will simply return the input url
    unchanged.

    :param url: A MemoryUrl object representing the URL with a "memory://" prefix.
@@ -55,7 +55,6 @@ def memory_url_path(url: memory_url) -> str:
    return url.removeprefix("memory://")


-
 class EntitySummary(BaseModel):
    """Simplified entity representation."""

@@ -101,14 +100,14 @@ class GraphContext(BaseModel):
    """Complete context response."""

    # Direct matches
-    primary_results: List[EntitySummary | RelationSummary | ObservationSummary] = Field(
+    primary_results: Sequence[EntitySummary | RelationSummary | ObservationSummary] = Field(
        description="results directly matching URI"
    )

    # Related entities
-    related_results: List[EntitySummary | RelationSummary | ObservationSummary] = Field(
+    related_results: Sequence[EntitySummary | RelationSummary | ObservationSummary] = Field(
        description="related results"
    )

    # Context metadata
-    metadata: MemoryMetadata
+    metadata: MemoryMetadata
@@ -1,23 +1,16 @@
 """Request schemas for interacting with the knowledge graph."""

-from typing import List, Optional, Annotated, Dict, Any
+from typing import List, Optional, Annotated
 from annotated_types import MaxLen, MinLen

 from pydantic import BaseModel

 from basic_memory.schemas.base import (
-    Observation,
-    Entity,
    Relation,
-    PathId,
-    ObservationCategory,
-    EntityType,
+    Permalink,
 )


-
-
-
 class SearchNodesRequest(BaseModel):
    """Search for entities in the knowledge graph.

@@ -47,7 +40,7 @@ class SearchNodesRequest(BaseModel):
    """

    query: Annotated[str, MinLen(1), MaxLen(200)]
-    category: Optional[ObservationCategory] = None
+    category: Optional[str] = None


 class GetEntitiesRequest(BaseModel):
@@ -58,20 +51,8 @@ class GetEntitiesRequest(BaseModel):
    discovered through search.
    """

-    permalinks: Annotated[List[PathId], MinLen(1)]
+    permalinks: Annotated[List[Permalink], MinLen(1)]


 class CreateRelationsRequest(BaseModel):
    relations: List[Relation]
-
-
-## update
-
-# TODO remove UpdateEntityRequest
-class UpdateEntityRequest(BaseModel):
-    """Request to update an existing entity."""
-
-    title: Optional[str] = None
-    entity_type: Optional[EntityType] = None
-    content: Optional[str] = None
-    entity_metadata: Optional[Dict[str, Any]] = None
@@ -15,7 +15,7 @@ from typing import List, Optional, Dict

 from pydantic import BaseModel, ConfigDict, Field, AliasPath, AliasChoices

-from basic_memory.schemas.base import Relation, PathId, EntityType, ContentType, Observation
+from basic_memory.schemas.base import Relation, Permalink, EntityType, ContentType, Observation


 class SQLAlchemyModel(BaseModel):
@@ -28,7 +28,7 @@ class SQLAlchemyModel(BaseModel):

    model_config = ConfigDict(from_attributes=True)

-    
+
 class ObservationResponse(Observation, SQLAlchemyModel):
    """Schema for observation data returned from the service.

@@ -59,7 +59,7 @@ class RelationResponse(Relation, SQLAlchemyModel):
    }
    """

-    from_id: PathId = Field(
+    from_id: Permalink = Field(
        # use the permalink from the associated Entity
        # or the from_id value
        validation_alias=AliasChoices(
@@ -67,25 +67,26 @@ class RelationResponse(Relation, SQLAlchemyModel):
            "from_id",
        )
    )
-    to_id: Optional[PathId] = Field(
+    to_id: Optional[Permalink] = Field(  # pyright: ignore
        # use the permalink from the associated Entity
        # or the to_id value
        validation_alias=AliasChoices(
            AliasPath("to_entity", "permalink"),
            "to_id",
-        ), default=None
+        ),
+        default=None,
    )
-    to_name: Optional[PathId] = Field(
+    to_name: Optional[Permalink] = Field(
        # use the permalink from the associated Entity
        # or the to_id value
        validation_alias=AliasChoices(
            AliasPath("to_entity", "title"),
            "to_name",
-        ), default=None
+        ),
+        default=None,
    )


-
 class EntityResponse(SQLAlchemyModel):
    """Complete entity data returned from the service.

@@ -125,7 +126,7 @@ class EntityResponse(SQLAlchemyModel):
    }
    """

-    permalink: PathId
+    permalink: Permalink
    title: str
    file_path: str
    entity_type: EntityType
@@ -49,8 +49,6 @@ class SearchQuery(BaseModel):
    @classmethod
    def validate_date(cls, v: Optional[Union[datetime, str]]) -> Optional[str]:
        """Convert datetime to ISO format if needed."""
-        if v is None:
-            return None
        if isinstance(v, datetime):
            return v.isoformat()
        return v
@@ -71,12 +69,11 @@ class SearchResult(BaseModel):

    id: int
    type: SearchItemType
-    score: Optional[float] = None
-    metadata: Optional[dict] = None
+    score: float
+    permalink: str
+    file_path: str

-    # Common fields
-    permalink: Optional[str] = None
-    file_path: Optional[str] = None
+    metadata: Optional[dict] = None

    # Type-specific fields
    entity_id: Optional[int] = None  # For observations
@@ -1,12 +1,7 @@
 """Services package."""
-from .database_service import DatabaseService
+
 from .service import BaseService
 from .file_service import FileService
 from .entity_service import EntityService

-__all__ = [
-    "BaseService",
-    "FileService",
-    "EntityService",
-    "DatabaseService"
-]
+__all__ = ["BaseService", "FileService", "EntityService"]
@@ -50,8 +50,8 @@ class ContextService:

    async def build_context(
        self,
-        memory_url: MemoryUrl = None,
-        types: List[SearchItemType] = None,
+        memory_url: Optional[MemoryUrl] = None,
+        types: Optional[List[SearchItemType]] = None,
        depth: int = 1,
        since: Optional[datetime] = None,
        max_results: int = 10,
@@ -66,9 +66,7 @@ class ContextService:
            # Pattern matching - use search
            if "*" in path:
                logger.debug(f"Pattern search for '{path}'")
-                primary = await self.search_repository.search(
-                    permalink_match=path
-                )
+                primary = await self.search_repository.search(permalink_match=path)

            # Direct lookup for exact path
            else:
@@ -120,11 +118,19 @@ class ContextService:
        - Connected entities
        - Their observations
        - Relations that connect them
+
+        Note on depth:
+        Each traversal step requires two depth levels - one to find the relation,
+        and another to follow that relation to an entity. So a max_depth of 4 allows
+        traversal through two entities (relation->entity->relation->entity), while reaching
+        an entity three steps away requires max_depth=6 (relation->entity->relation->entity->relation->entity).
        """
+        max_depth = max_depth * 2
+
        if not type_id_pairs:
            return []

-        logger.debug(f"Finding connected items for {len(type_id_pairs)} with depth {max_depth}")
+        logger.debug(f"Finding connected items for {type_id_pairs} with depth {max_depth}")

        # Build the VALUES clause directly since SQLite doesn't handle parameterized IN well
        values = ", ".join([f"('{t}', {i})" for t, i in type_id_pairs])
@@ -132,7 +138,7 @@ class ContextService:
        # Parameters for bindings
        params = {"max_depth": max_depth, "max_results": max_results}
        if since:
-            params["since_date"] = since.isoformat()
+            params["since_date"] = since.isoformat()  # pyright: ignore

        # Build date filter
        date_filter = "AND base.created_at >= :since_date" if since else ""
@@ -140,113 +146,113 @@ class ContextService:
        related_date_filter = "AND e.created_at >= :since_date" if since else ""

        query = text(f"""
-WITH RECURSIVE context_graph AS (
-    -- Base case: seed items (unchanged)
-    SELECT 
-        id,
-        type,
-        title, 
-        permalink,
-        file_path,
-        from_id,
-        to_id,
-        relation_type,
-        content,
-        category,
-        entity_id,
-        0 as depth,
-        id as root_id,
-        created_at,
-        created_at as relation_date,
-        0 as is_incoming
-    FROM search_index base
-    WHERE (base.type, base.id) IN ({values})
-    {date_filter}
+        WITH RECURSIVE context_graph AS (
+            -- Base case: seed items 
+            SELECT 
+                id,
+                type,
+                title, 
+                permalink,
+                file_path,
+                from_id,
+                to_id,
+                relation_type,
+                content,
+                category,
+                entity_id,
+                0 as depth,
+                id as root_id,
+                created_at,
+                created_at as relation_date,
+                0 as is_incoming
+            FROM search_index base
+            WHERE (base.type, base.id) IN ({values})
+            {date_filter}

-    UNION  -- Changed from UNION ALL
+            UNION ALL  -- Allow same paths at different depths

-    -- Get relations from current entities 
-    SELECT DISTINCT
-        r.id,
-        r.type,
-        r.title,
-        r.permalink,
-        r.file_path,
-        r.from_id,
-        r.to_id,
-        r.relation_type,
-        r.content,
-        r.category,
-        r.entity_id,
-        cg.depth + 1,
-        cg.root_id,
-        r.created_at,
-        r.created_at as relation_date,
-        CASE WHEN r.from_id = cg.id THEN 0 ELSE 1 END as is_incoming
-    FROM context_graph cg
-    JOIN search_index r ON (
-        cg.type = 'entity' AND
-        r.type = 'relation' AND 
-        (r.from_id = cg.id OR r.to_id = cg.id)
-        {r1_date_filter}
-    )
-    WHERE cg.depth < :max_depth
+            -- Get relations from current entities 
+            SELECT DISTINCT
+                r.id,
+                r.type,
+                r.title,
+                r.permalink,
+                r.file_path,
+                r.from_id,
+                r.to_id,
+                r.relation_type,
+                r.content,
+                r.category,
+                r.entity_id,
+                cg.depth + 1,
+                cg.root_id,
+                r.created_at,
+                r.created_at as relation_date,
+                CASE WHEN r.from_id = cg.id THEN 0 ELSE 1 END as is_incoming
+            FROM context_graph cg
+            JOIN search_index r ON (
+                cg.type = 'entity' AND
+                r.type = 'relation' AND 
+                (r.from_id = cg.id OR r.to_id = cg.id)
+                {r1_date_filter}
+            )
+            WHERE cg.depth < :max_depth

-    UNION  -- Changed from UNION ALL
+            UNION ALL

-    -- Get entities connected by relations
-    SELECT DISTINCT
-        e.id,
-        e.type,
-        e.title,
-        e.permalink,
-        e.file_path,
-        e.from_id,
-        e.to_id,
-        e.relation_type,
-        e.content,
-        e.category,
-        e.entity_id,
-        cg.depth,
-        cg.root_id,
-        e.created_at,
-        cg.relation_date,
-        cg.is_incoming
-    FROM context_graph cg
-    JOIN search_index e ON (
-        cg.type = 'relation' AND 
-        e.type = 'entity' AND
-        e.id = CASE 
-            WHEN cg.from_id = cg.id THEN cg.to_id  
-            ELSE cg.from_id                             
-        END
-        {related_date_filter}
-    )
-    WHERE cg.depth < :max_depth
-)
-SELECT DISTINCT 
-    type,
-    id,
-    title,
-    permalink,
-    file_path,
-    from_id,
-    to_id,
-    relation_type,
-    content,
-    category,
-    entity_id,
-    MIN(depth) as depth,
-    root_id,
-    created_at
-FROM context_graph
-WHERE (type, id) NOT IN ({values})
-GROUP BY
-    type, id, title, permalink, from_id, to_id,
-    relation_type, category, entity_id,
-    root_id, created_at
-ORDER BY depth, type, id
-LIMIT :max_results
+            -- Get entities connected by relations
+            SELECT DISTINCT
+                e.id,
+                e.type,
+                e.title,
+                e.permalink,
+                e.file_path,
+                e.from_id,
+                e.to_id,
+                e.relation_type,
+                e.content,
+                e.category,
+                e.entity_id,
+                cg.depth + 1,  -- Increment depth for entities
+                cg.root_id,
+                e.created_at,
+                cg.relation_date,
+                cg.is_incoming
+            FROM context_graph cg
+            JOIN search_index e ON (
+                cg.type = 'relation' AND 
+                e.type = 'entity' AND
+                e.id = CASE 
+                    WHEN cg.is_incoming = 0 THEN cg.to_id  -- Fixed entity lookup
+                    ELSE cg.from_id                             
+                END
+                {related_date_filter}
+            )
+            WHERE cg.depth < :max_depth
+        )
+        SELECT DISTINCT 
+            type,
+            id,
+            title,
+            permalink,
+            file_path,
+            from_id,
+            to_id,
+            relation_type,
+            content,
+            category,
+            entity_id,
+            MIN(depth) as depth,
+            root_id,
+            created_at
+        FROM context_graph
+        WHERE (type, id) NOT IN ({values})
+        GROUP BY
+            type, id, title, permalink, from_id, to_id,
+            relation_type, category, entity_id,
+            root_id, created_at
+        ORDER BY depth, type, id
+        LIMIT :max_results
       """)

        result = await self.search_repository.execute_query(query, params=params)
@@ -1,158 +0,0 @@
-"""Service for managing database lifecycle and schema validation."""
-
-from datetime import datetime
-from pathlib import Path
-from typing import Optional, Tuple, List
-
-from alembic.runtime.migration import MigrationContext
-from alembic.autogenerate import compare_metadata
-from loguru import logger
-from sqlalchemy import MetaData
-from sqlalchemy.ext.asyncio import AsyncSession
-
-from basic_memory import db
-from basic_memory.config import ProjectConfig
-from basic_memory.models import Base
-
-
-async def check_schema_matches_models(session: AsyncSession) -> Tuple[bool, List[str]]:
-    """Check if database schema matches SQLAlchemy models.
-    
-    Returns:
-        tuple[bool, list[str]]: (matches, list of differences)
-    """
-    # Get current DB schema via migration context
-    conn = await session.connection()
-
-    def _compare_schemas(connection):
-        context = MigrationContext.configure(connection)
-        return compare_metadata(context, Base.metadata)
-
-    # Run comparison in sync context
-    differences = await conn.run_sync(_compare_schemas)
-    
-    if not differences:
-        return True, []
-        
-    # Format differences into readable messages
-    diff_messages = []
-    for diff in differences:
-        if diff[0] == 'add_table':
-            diff_messages.append(f"Missing table: {diff[1].name}")
-        elif diff[0] == 'remove_table':
-            diff_messages.append(f"Extra table: {diff[1].name}")
-        elif diff[0] == 'add_column':
-            diff_messages.append(f"Missing column: {diff[3]} in table {diff[2]}")
-        elif diff[0] == 'remove_column':
-            diff_messages.append(f"Extra column: {diff[3]} in table {diff[2]}")
-        elif diff[0] == 'modify_type':
-            diff_messages.append(f"Column type mismatch: {diff[3]} in table {diff[2]}")
-            
-    return False, diff_messages
-
-
-class DatabaseService:
-    """Manages database lifecycle including schema validation and backups."""
-
-    def __init__(
-        self,
-        config: ProjectConfig,
-        db_type: db.DatabaseType = db.DatabaseType.FILESYSTEM,
-    ):
-        self.config = config
-        self.db_path = Path(config.database_path)
-        self.db_type = db_type
-
-    async def create_backup(self) -> Optional[Path]:
-        """Create backup of existing database file.
-
-        Returns:
-            Optional[Path]: Path to backup file if created, None if no DB exists
-        """
-        if self.db_type == db.DatabaseType.MEMORY:
-            return None  # Skip backups for in-memory DB
-
-        if not self.db_path.exists():
-            return None
-
-        # Create backup with timestamp
-        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-        backup_path = self.db_path.with_suffix(f".{timestamp}.backup")
-
-        try:
-            self.db_path.rename(backup_path)
-            logger.info(f"Created database backup: {backup_path}")
-            
-            # make a new empty file
-            self.db_path.touch()
-            return backup_path
-        except Exception as e:
-            logger.error(f"Failed to create database backup: {e}")
-            return None
-
-    async def initialize_db(self):
-        """Initialize database with current schema."""
-        logger.info("Initializing database...")
-
-        if self.db_type == db.DatabaseType.FILESYSTEM:
-            await self.create_backup()
-
-        # Drop existing tables if any
-        await db.drop_db()
-
-        # Create tables with current schema
-        await db.get_or_create_db(
-            db_path=self.db_path,
-            db_type=self.db_type
-        )
-
-        logger.info("Database initialized with current schema")
-
-    async def check_db(self) -> bool:
-        """Check database state and rebuild if schema doesn't match models.
-        
-        Returns:
-            bool: True if DB is ready for use, False if initialization failed
-        """
-        try:
-            _, session_maker = await db.get_or_create_db(
-                db_path=self.db_path,
-                db_type=self.db_type
-            )
-            async with db.scoped_session(session_maker) as db_session:
-                # Check actual schema matches
-                matches, differences = await check_schema_matches_models(db_session)
-                if not matches:
-                    logger.warning("Database schema does not match models:")
-                    for diff in differences:
-                        logger.warning(f"  {diff}")
-                    logger.info("Rebuilding database to match current models...")
-                    await self.initialize_db()
-                    return True
-                    
-                logger.info("Database schema matches models")
-                return True
-
-        except Exception as e:
-            logger.error(f"Database initialization failed: {e}")
-            return False
-
-    async def cleanup_backups(self, keep_count: int = 5):
-        """Clean up old database backups, keeping the N most recent."""
-        if self.db_type == db.DatabaseType.MEMORY:
-            return  # Skip cleanup for in-memory DB
-
-        backup_pattern = "*.backup"  # Use relative pattern
-        backups = sorted(
-            self.db_path.parent.glob(backup_pattern),
-            key=lambda p: p.stat().st_mtime,
-            reverse=True,
-        )
-
-        # Remove old backups
-        for backup in backups[keep_count:]:
-            try:
-                backup.unlink()
-                logger.debug(f"Removed old backup: {backup}")
-            except Exception as e:
-                logger.error(f"Failed to remove backup {backup}: {e}")
@@ -1,10 +1,9 @@
 """Service for managing entities in the database."""

 from pathlib import Path
-from typing import Sequence, List, Optional
+from typing import Sequence, List, Optional, Tuple, Union

 import frontmatter
-from frontmatter import Post
 from loguru import logger
 from sqlalchemy.exc import IntegrityError

@@ -14,6 +13,7 @@ from basic_memory.models import Entity as EntityModel, Observation, Relation
 from basic_memory.repository import ObservationRepository, RelationRepository
 from basic_memory.repository.entity_repository import EntityRepository
 from basic_memory.schemas import Entity as EntitySchema
+from basic_memory.schemas.base import Permalink
 from basic_memory.services.exceptions import EntityNotFoundError, EntityCreationError
 from basic_memory.services import FileService
 from basic_memory.services import BaseService
@@ -42,9 +42,7 @@ class EntityService(BaseService[EntityModel]):
        self.link_resolver = link_resolver

    async def resolve_permalink(
-            self,
-            file_path: Path,
-            markdown: Optional[EntityMarkdown] = None
+        self, file_path: Permalink | Path, markdown: Optional[EntityMarkdown] = None
    ) -> str:
        """Get or generate unique permalink for an entity.

@@ -54,19 +52,17 @@ class EntityService(BaseService[EntityModel]):
        3. For existing files, keep current permalink from db
        4. Generate new unique permalink from file path
        """
-        file_path = str(file_path)
-
        # If markdown has explicit permalink, try to validate it
        if markdown and markdown.frontmatter.permalink:
            desired_permalink = markdown.frontmatter.permalink
            existing = await self.repository.get_by_permalink(desired_permalink)

            # If no conflict or it's our own file, use as is
-            if not existing or existing.file_path == file_path:
+            if not existing or existing.file_path == str(file_path):
                return desired_permalink

        # For existing files, try to find current permalink
-        existing = await self.repository.get_by_file_path(file_path)
+        existing = await self.repository.get_by_file_path(str(file_path))
        if existing:
            return existing.permalink

@@ -85,12 +81,11 @@ class EntityService(BaseService[EntityModel]):
            logger.debug(f"creating unique permalink: {permalink}")

        return permalink
-    
-    async def create_or_update_entity(self, schema: EntitySchema) -> (EntityModel, bool):
-        """Create new entity or update existing one.
-        if a new entity is created, the return value is (entity, True)
-        """

+    async def create_or_update_entity(self, schema: EntitySchema) -> Tuple[EntityModel, bool]:
+        """Create new entity or update existing one.
+        Returns: (entity, is_new) where is_new is True if a new entity was created
+        """
        logger.debug(f"Creating or updating entity: {schema}")

        # Try to find existing entity using smart resolution
@@ -107,7 +102,7 @@ class EntityService(BaseService[EntityModel]):
        """Create a new entity and write to filesystem."""
        logger.debug(f"Creating entity: {schema.permalink}")

-        # get file path
+        # Get file path and ensure it's a Path object
        file_path = Path(schema.file_path)

        if await self.file_service.exists(file_path):
@@ -127,11 +122,9 @@ class EntityService(BaseService[EntityModel]):

        # parse entity from file
        entity_markdown = await self.entity_parser.parse_file(file_path)
-        
+
        # create entity
-        created_entity = await self.create_entity_from_markdown(
-            file_path, entity_markdown
-        )
+        await self.create_entity_from_markdown(file_path, entity_markdown)

        # add relations
        entity = await self.update_entity_relations(file_path, entity_markdown)
@@ -139,12 +132,11 @@ class EntityService(BaseService[EntityModel]):
        # Set final checksum to mark complete
        return await self.repository.update(entity.id, {"checksum": checksum})

-
    async def update_entity(self, entity: EntityModel, schema: EntitySchema) -> EntityModel:
        """Update an entity's content and metadata."""
        logger.debug(f"Updating entity with permalink: {entity.permalink}")

-        # get file path
+        # Convert file path string to Path
        file_path = Path(entity.file_path)

        post = await schema_to_markdown(schema)
@@ -157,9 +149,7 @@ class EntityService(BaseService[EntityModel]):
        entity_markdown = await self.entity_parser.parse_file(file_path)

        # update entity in db
-        entity = await self.update_entity_and_observations(
-            file_path, entity_markdown
-        )
+        entity = await self.update_entity_and_observations(file_path, entity_markdown)

        # add relations
        await self.update_entity_relations(file_path, entity_markdown)
@@ -187,10 +177,6 @@ class EntityService(BaseService[EntityModel]):
            logger.info(f"Entity not found: {permalink}")
            return True  # Already deleted

-        except Exception as e:
-            logger.error(f"Failed to delete entity: {e}")
-            raise
-
    async def get_by_permalink(self, permalink: str) -> EntityModel:
        """Get entity by type and name combination."""
        logger.debug(f"Getting entity by permalink: {permalink}")
@@ -199,32 +185,14 @@ class EntityService(BaseService[EntityModel]):
            raise EntityNotFoundError(f"Entity not found: {permalink}")
        return db_entity

-    async def get_all(self) -> Sequence[EntityModel]:
-        """Get all entities."""
-        return await self.repository.find_all()
-
-    async def get_entity_types(self) -> List[str]:
-        """Get list of all distinct entity types in the system."""
-        logger.debug("Getting all distinct entity types")
-        return await self.repository.get_entity_types()
-
-    async def list_entities(
-        self,
-        entity_type: Optional[str] = None,
-        sort_by: Optional[str] = "updated_at",
-        include_related: bool = False,
-    ) -> Sequence[EntityModel]:
-        """List entities with optional filtering and sorting."""
-        logger.debug(f"Listing entities: type={entity_type} sort={sort_by}")
-        return await self.repository.list_entities(entity_type=entity_type, sort_by=sort_by)
-
    async def get_entities_by_permalinks(self, permalinks: List[str]) -> Sequence[EntityModel]:
        """Get specific nodes and their relationships."""
        logger.debug(f"Getting entities permalinks: {permalinks}")
        return await self.repository.find_by_permalinks(permalinks)

-    async def delete_entity_by_file_path(self, file_path):
-        await self.repository.delete_by_file_path(file_path)
+    async def delete_entity_by_file_path(self, file_path: Union[str, Path]) -> None:
+        """Delete entity by file path."""
+        await self.repository.delete_by_file_path(str(file_path))

    async def create_entity_from_markdown(
        self, file_path: Path, markdown: EntityMarkdown
@@ -234,15 +202,15 @@ class EntityService(BaseService[EntityModel]):
        Creates the entity with null checksum to indicate sync not complete.
        Relations will be added in second pass.
        """
-        logger.debug(f"Creating entity: {markdown.frontmatter.title}")        
+        logger.debug(f"Creating entity: {markdown.frontmatter.title}")
        model = entity_model_from_markdown(file_path, markdown)

-        # Mark as incomplete sync
+        # Mark as incomplete because we still need to add relations
        model.checksum = None
-        return await self.add(model)
+        return await self.repository.add(model)

    async def update_entity_and_observations(
-        self, file_path: Path | str, markdown: EntityMarkdown
+        self, file_path: Path, markdown: EntityMarkdown
    ) -> EntityModel:
        """Update entity fields and observations.

@@ -250,11 +218,8 @@ class EntityService(BaseService[EntityModel]):
        to indicate sync not complete.
        """
        logger.debug(f"Updating entity and observations: {file_path}")
-        file_path = str(file_path)

-        db_entity = await self.repository.get_by_file_path(file_path)
-        if not db_entity:
-            raise EntityNotFoundError(f"Entity not found: {file_path}")
+        db_entity = await self.repository.get_by_file_path(str(file_path))

        # Clear observations for entity
        await self.observation_repository.delete_by_fields(entity_id=db_entity.id)
@@ -277,9 +242,8 @@ class EntityService(BaseService[EntityModel]):

        # checksum value is None == not finished with sync
        db_entity.checksum = None
-        
+
        # update entity
-        # checksum value is None == not finished with sync
        return await self.repository.update(
            db_entity.id,
            db_entity,
@@ -287,14 +251,13 @@ class EntityService(BaseService[EntityModel]):

    async def update_entity_relations(
        self,
-        file_path: Path | str,
+        file_path: Path,
        markdown: EntityMarkdown,
    ) -> EntityModel:
        """Update relations for entity"""
        logger.debug(f"Updating relations for entity: {file_path}")

-        file_path = str(file_path)
-        db_entity = await self.repository.get_by_file_path(file_path)
+        db_entity = await self.repository.get_by_file_path(str(file_path))

        # Clear existing relations first
        await self.relation_repository.delete_outgoing_relations_from_entity(db_entity.id)
@@ -328,4 +291,4 @@ class EntityService(BaseService[EntityModel]):
                )
                continue

-        return await self.repository.get_by_file_path(file_path)
+        return await self.repository.get_by_file_path(str(file_path))
@@ -9,6 +9,7 @@ class EntityNotFoundError(Exception):

    pass

+
 class EntityCreationError(Exception):
    """Raised when an entity cannot be created"""

@@ -1,20 +1,23 @@
 """Service for file operations with checksum tracking."""

 from pathlib import Path
-from typing import Optional, Tuple
+from typing import Tuple, Union

 from loguru import logger

 from basic_memory import file_utils
 from basic_memory.markdown.markdown_processor import MarkdownProcessor
-from basic_memory.markdown.utils import entity_model_to_markdown
 from basic_memory.models import Entity as EntityModel
-from basic_memory.services.exceptions import FileOperationError
 from basic_memory.schemas import Entity as EntitySchema
+from basic_memory.services.exceptions import FileOperationError
+

 class FileService:
-    """
-    Service for handling file operations.
+    """Service for handling file operations.
+
+    All paths are handled as Path objects internally. Strings are converted to
+    Path objects when passed in. Relative paths are assumed to be relative to
+    base_path.

    Features:
    - Consistent file writing with checksums
@@ -28,105 +31,66 @@ class FileService:
        base_path: Path,
        markdown_processor: MarkdownProcessor,
    ):
-        self.base_path = base_path
+        self.base_path = base_path.resolve()  # Get absolute path
        self.markdown_processor = markdown_processor

-    def get_entity_path(self, entity: EntityModel| EntitySchema) -> Path:
-        """Generate absolute filesystem path for entity."""
-        return self.base_path / f"{entity.file_path}"
-
-    async def write_entity_file(
-        self,
-        entity: EntityModel,
-        content: Optional[str] = None,
-        expected_checksum: Optional[str] = None,
-    ) -> Tuple[Path, str]:
-        """Write entity to filesystem and return path and checksum.
-
-        Uses read->modify->write pattern:
-        1. Read existing file if it exists
-        2. Update with new content if provided
-        3. Write back atomically
+    def get_entity_path(self, entity: Union[EntityModel, EntitySchema]) -> Path:
+        """Generate absolute filesystem path for entity.

        Args:
-            entity: Entity model to write
-            content: Optional new content (preserves existing if None)
-            expected_checksum: Optional checksum to verify file hasn't changed
+            entity: Entity model or schema with file_path attribute

        Returns:
-            Tuple of (file path, new checksum)
-
-        Raises:
-            FileOperationError: If write fails
+            Absolute Path to the entity file
        """
-        try:
-            path = self.get_entity_path(entity)
-
-            # Read current state if file exists
-            if path.exists():
-                # read the existing file
-                existing_markdown = await self.markdown_processor.read_file(path)
-
-                # if content is supplied use it or existing content
-                content=content or existing_markdown.content
-            
-            # Create new file structure with provided content
-            markdown = entity_model_to_markdown(entity, content=content)
-
-            # Write back atomically
-            checksum = await self.markdown_processor.write_file(
-                path=path, markdown=markdown, expected_checksum=expected_checksum
-            )
-
-            return path, checksum
-
-        except Exception as e:
-            logger.exception(f"Failed to write entity file: {e}")
-            raise FileOperationError(f"Failed to write entity file: {e}")
+        return self.base_path / entity.file_path

    async def read_entity_content(self, entity: EntityModel) -> str:
-        """Get entity's content without frontmatter or structured sections (used to index for search)
+        """Get entity's content without frontmatter or structured sections.
+
+        Used to index for search. Returns raw content without frontmatter,
+        observations, or relations.

        Args:
            entity: Entity to read content for

        Returns:
-            Raw content without frontmatter, observations, or relations
-
-        Raises:
-            FileOperationError: If entity file doesn't exist
+            Raw content string without metadata sections
        """
        logger.debug(f"Reading entity with permalink: {entity.permalink}")

-        try:
-            file_path = self.get_entity_path(entity)
-            markdown = await self.markdown_processor.read_file(file_path)
-            return markdown.content or ""
-
-        except Exception as e:
-            logger.error(f"Failed to read entity content: {e}")
-            raise FileOperationError(f"Failed to read entity content: {e}")
+        file_path = self.get_entity_path(entity)
+        markdown = await self.markdown_processor.read_file(file_path)
+        return markdown.content or ""

    async def delete_entity_file(self, entity: EntityModel) -> None:
-        """Delete entity file from filesystem."""
-        try:
-            path = self.get_entity_path(entity)
-            await self.delete_file(path)
-        except Exception as e:
-            logger.error(f"Failed to delete entity file: {e}")
-            raise FileOperationError(f"Failed to delete entity file: {e}")
-
-    async def exists(self, path: Path) -> bool:
-        """
-        Check if file exists at the provided path. If path is relative, it is assumed to be relative to base_path.
+        """Delete entity file from filesystem.

        Args:
-            path: Path to check
+            entity: Entity model whose file should be deleted
+
+        Raises:
+            FileOperationError: If deletion fails
+        """
+        path = self.get_entity_path(entity)
+        await self.delete_file(path)
+
+    async def exists(self, path: Union[Path, str]) -> bool:
+        """Check if file exists at the provided path.
+
+        If path is relative, it is assumed to be relative to base_path.
+
+        Args:
+            path: Path to check (Path object or string)

        Returns:
            True if file exists, False otherwise
+
+        Raises:
+            FileOperationError: If check fails
        """
        try:
+            path = Path(path)
            if path.is_absolute():
                return path.exists()
            else:
@@ -135,12 +99,14 @@ class FileService:
            logger.error(f"Failed to check file existence {path}: {e}")
            raise FileOperationError(f"Failed to check file existence: {e}")

-    async def write_file(self, path: Path, content: str) -> str:
-        """
-        Write content to file and return checksum.
+    async def write_file(self, path: Union[Path, str], content: str) -> str:
+        """Write content to file and return checksum.
+
+        Handles both absolute and relative paths. Relative paths are resolved
+        against base_path.

        Args:
-            path: Path where to write
+            path: Where to write (Path object or string)
            content: Content to write

        Returns:
@@ -149,30 +115,33 @@ class FileService:
        Raises:
            FileOperationError: If write fails
        """
-        
-        path = path if path.is_absolute() else self.base_path / path
+        path = Path(path)
+        full_path = path if path.is_absolute() else self.base_path / path
+
        try:
            # Ensure parent directory exists
-            await file_utils.ensure_directory(path.parent)
+            await file_utils.ensure_directory(full_path.parent)

            # Write content atomically
-            await file_utils.write_file_atomic(path, content)
+            await file_utils.write_file_atomic(full_path, content)

            # Compute and return checksum
            checksum = await file_utils.compute_checksum(content)
-            logger.debug(f"wrote file: {path}, checksum: {checksum} content: \n{content}")
+            logger.debug(f"wrote file: {full_path}, checksum: {checksum}")
            return checksum

        except Exception as e:
-            logger.error(f"Failed to write file {path}: {e}")
+            logger.error(f"Failed to write file {full_path}: {e}")
            raise FileOperationError(f"Failed to write file: {e}")

-    async def read_file(self, path: Path) -> Tuple[str, str]:
-        """
-        Read file and compute checksum.
+    async def read_file(self, path: Union[Path, str]) -> Tuple[str, str]:
+        """Read file and compute checksum.
+
+        Handles both absolute and relative paths. Relative paths are resolved
+        against base_path.

        Args:
-            path: Path to read
+            path: Path to read (Path object or string)

        Returns:
            Tuple of (content, checksum)
@@ -180,33 +149,28 @@ class FileService:
        Raises:
            FileOperationError: If read fails
        """
-        path = path if path.is_absolute() else self.base_path / path
+        path = Path(path)
+        full_path = path if path.is_absolute() else self.base_path / path
+
        try:
            content = path.read_text()
            checksum = await file_utils.compute_checksum(content)
-            logger.debug(f"read file: {path}, checksum: {checksum}")
+            logger.debug(f"read file: {full_path}, checksum: {checksum}")
            return content, checksum

        except Exception as e:
-            logger.error(f"Failed to read file {path}: {e}")
+            logger.error(f"Failed to read file {full_path}: {e}")
            raise FileOperationError(f"Failed to read file: {e}")

-    async def delete_file(self, path: Path) -> None:
-        """
-        Delete file if it exists.
+    async def delete_file(self, path: Union[Path, str]) -> None:
+        """Delete file if it exists.
+
+        Handles both absolute and relative paths. Relative paths are resolved
+        against base_path.

        Args:
-            path: Path to delete
-
-        Raises:
-            FileOperationError: If deletion fails
+            path: Path to delete (Path object or string)
        """
-        path = path if path.is_absolute() else self.base_path / path
-        try:
-            path.unlink(missing_ok=True)
-        except Exception as e:
-            logger.error(f"Failed to delete file {path}: {e}")
-            raise FileOperationError(f"Failed to delete file: {e}")
-
-    def path(self, path_string: str, absolute: bool = False):
-        return Path( self.base_path / path_string ) if absolute else Path(path_string).relative_to(self.base_path)
+        path = Path(path)
+        full_path = path if path.is_absolute() else self.base_path / path
+        full_path.unlink(missing_ok=True)
@@ -5,9 +5,10 @@ from typing import Optional, Tuple, List
 from loguru import logger

 from basic_memory.repository.entity_repository import EntityRepository
+from basic_memory.repository.search_repository import SearchIndexRow
 from basic_memory.services.search_service import SearchService
 from basic_memory.models import Entity
-from basic_memory.schemas.search import SearchQuery, SearchResult, SearchItemType
+from basic_memory.schemas.search import SearchQuery, SearchItemType


 class LinkResolver:
@@ -45,18 +46,19 @@ class LinkResolver:
            return entity

        if use_search:
-            
            # 3. Fall back to search for fuzzy matching on title if specified
            results = await self.search_service.search(
                query=SearchQuery(title=clean_text, types=[SearchItemType.ENTITY]),
            )
-    
+
            if results:
                # Look for best match
                best_match = self._select_best_match(clean_text, results)
-                logger.debug(f"Selected best match from {len(results)} results: {best_match.permalink}")
+                logger.debug(
+                    f"Selected best match from {len(results)} results: {best_match.permalink}"
+                )
                return await self.entity_repository.get_by_permalink(best_match.permalink)
-    
+
            # if we couldn't find anything then return None
        return None

@@ -85,7 +87,7 @@ class LinkResolver:

        return text, alias

-    def _select_best_match(self, search_text: str, results: List[SearchResult]) -> Entity:
+    def _select_best_match(self, search_text: str, results: List[SearchIndexRow]) -> Entity:
        """Select best match from search results.

        Uses multiple criteria:
@@ -93,9 +95,6 @@ class LinkResolver:
        2. Word matches in path
        3. Overall search score
        """
-        if not results:
-            raise ValueError("Cannot select from empty results")
-
        # Get search terms for matching
        terms = search_text.lower().split()

@@ -104,6 +103,7 @@ class LinkResolver:
        for result in results:
            # Start with base score (lower is better)
            score = result.score
+            assert score is not None

            # Parse path components
            path_parts = result.permalink.lower().split("/")
@@ -1,5 +1,6 @@
 """Service for search operations."""

+from datetime import datetime
 from typing import List, Optional, Set

 from fastapi import BackgroundTasks
@@ -8,9 +9,8 @@ from loguru import logger
 from basic_memory.models import Entity
 from basic_memory.repository import EntityRepository
 from basic_memory.repository.search_repository import SearchRepository, SearchIndexRow
-from basic_memory.schemas.search import SearchQuery, SearchResult, SearchItemType
+from basic_memory.schemas.search import SearchQuery, SearchItemType
 from basic_memory.services import FileService
-from basic_memory.services.exceptions import FileOperationError


 class SearchService:
@@ -51,9 +51,7 @@ class SearchService:

        logger.info("Reindex complete")

-    async def search(
-        self, query: SearchQuery, context: Optional[List[str]] = None
-    ) -> List[SearchResult]:
+    async def search(self, query: SearchQuery) -> List[SearchIndexRow]:
        """Search across all indexed content.

        Supports three modes:
@@ -67,6 +65,16 @@ class SearchService:

        logger.debug(f"Searching with query: {query}")

+        after_date = (
+            (
+                query.after_date
+                if isinstance(query.after_date, datetime)
+                else datetime.fromisoformat(query.after_date)
+            )
+            if query.after_date
+            else None
+        )
+
        # permalink search
        results = await self.repository.search(
            search_text=query.text,
@@ -75,12 +83,13 @@ class SearchService:
            title=query.title,
            types=query.types,
            entity_types=query.entity_types,
-            after_date=query.after_date,
+            after_date=after_date,
        )

        return results

-    def _generate_variants(self, text: str) -> Set[str]:
+    @staticmethod
+    def _generate_variants(text: str) -> Set[str]:
        """Generate text variants for better fuzzy matching.

        Creates variations of the text to improve match chances:
@@ -140,7 +149,6 @@ class SearchService:
        title_variants = self._generate_variants(entity.title)
        content_parts.extend(title_variants)

-        # TODO should we do something to content on indexing?
        content = await self.file_service.read_entity_content(entity)
        if content:
            content_parts.append(content)
@@ -162,8 +170,8 @@ class SearchService:
                metadata={
                    "entity_type": entity.entity_type,
                },
-                created_at=entity.created_at.isoformat(),
-                updated_at=entity.updated_at.isoformat(),
+                created_at=entity.created_at,
+                updated_at=entity.updated_at,
            )
        )

@@ -183,8 +191,8 @@ class SearchService:
                    metadata={
                        "tags": obs.tags,
                    },
-                    created_at=entity.created_at.isoformat(),
-                    updated_at=entity.updated_at.isoformat(),
+                    created_at=entity.created_at,
+                    updated_at=entity.updated_at,
                )
            )

@@ -201,15 +209,14 @@ class SearchService:
                SearchIndexRow(
                    id=rel.id,
                    title=relation_title,
-                    content=rel.context or "",
                    permalink=rel.permalink,
                    file_path=entity.file_path,
                    type=SearchItemType.RELATION.value,
                    from_id=rel.from_id,
                    to_id=rel.to_id,
                    relation_type=rel.relation_type,
-                    created_at=entity.created_at.isoformat(),
-                    updated_at=entity.updated_at.isoformat(),
+                    created_at=entity.created_at,
+                    updated_at=entity.updated_at,
                )
            )

@@ -1,36 +1,15 @@
 """Base service class."""

-from datetime import datetime
-from typing import TypeVar, Generic, List, Sequence
+from typing import TypeVar, Generic

 from basic_memory.models import Base
-from basic_memory.repository.repository import Repository

 T = TypeVar("T", bound=Base)
-R = TypeVar("R", bound=Repository)
+

 class BaseService(Generic[T]):
    """Base service that takes a repository."""

-    def __init__(self, repository: R):
+    def __init__(self, repository):
        """Initialize service with repository."""
        self.repository = repository
-
-    async def add(self, model: T) -> T:
-        """Add model to repository."""
-        return await self.repository.add(model)
-
-    async def add_all(self, models: List[T]) -> Sequence[T]:
-        """Add a List of models to repository."""
-        return await self.repository.add_all(models)
-
-    async def get_modified_since(self, since: datetime) -> Sequence[T]:
-        """Get all items modified since the given timestamp.
-        
-        Args:
-            since: Datetime to search from
-            
-        Returns:
-            Sequence of items modified since the timestamp
-        """
-        return await self.repository.find_modified_since(since)
@@ -1,5 +1,5 @@
 from .file_change_scanner import FileChangeScanner
 from .sync_service import SyncService
+from .watch_service import WatchService

-__all__ = ["SyncService", "FileChangeScanner"]
-
+__all__ = ["SyncService", "FileChangeScanner", "WatchService"]
@@ -69,11 +69,7 @@ class FileChangeScanner:
                rel_path = str(path.relative_to(directory))
                content = path.read_text()
                checksum = await compute_checksum(content)
-
-                if checksum:  # Only store valid checksums
-                    result.files[rel_path] = checksum
-                else:
-                    result.errors[rel_path] = "Failed to compute checksum"
+                result.files[rel_path] = checksum

            except Exception as e:
                rel_path = str(path.relative_to(directory))
@@ -134,7 +130,7 @@ class FileChangeScanner:
        logger.debug(f"  Moved: {len(report.moves)}")
        logger.debug(f"  Deleted: {len(report.deleted)}")

-        if scan_result.errors:
+        if scan_result.errors:  # pragma: no cover
            logger.warning("Files skipped due to errors:")
            for file_path, error in scan_result.errors.items():
                logger.warning(f"  {file_path}: {error}")
@@ -151,7 +147,7 @@ class FileChangeScanner:
        """
        return {
            r.file_path: FileState(
-                file_path=r.file_path, permalink=r.permalink, checksum=r.checksum
+                file_path=r.file_path, permalink=r.permalink, checksum=r.checksum or ""
            )
            for r in db_records
        }
@@ -4,6 +4,7 @@ from pathlib import Path
 from typing import Dict

 from loguru import logger
+from sqlalchemy.exc import IntegrityError

 from basic_memory import file_utils
 from basic_memory.markdown import EntityParser, EntityMarkdown
@@ -58,9 +59,6 @@ class SyncService:
            for permalink in permalinks:
                await self.search_service.delete_by_permalink(permalink)

-        else:
-            logger.debug(f"No entity found to delete: {file_path}")
-
    async def sync(self, directory: Path) -> SyncReport:
        """Sync knowledge files with database."""
        changes = await self.scanner.find_knowledge_changes(directory)
@@ -76,69 +74,63 @@ class SyncService:
                    entity.id, {"file_path": new_path, "checksum": changes.checksums[new_path]}
                )
                # update search index
-                await self.search_service.index_entity(updated)
+                if updated:
+                    await self.search_service.index_entity(updated)

        # Handle deletions next
        # remove rows from db for files no longer present
-        for file_path in changes.deleted:
-            await self.handle_entity_deletion(file_path)
+        for path in changes.deleted:
+            await self.handle_entity_deletion(path)

        # Parse files that need updating
        parsed_entities: Dict[str, EntityMarkdown] = {}

-        for file_path in [*changes.new, *changes.modified]:
-            entity_markdown = await self.entity_parser.parse_file(directory / file_path)
-            parsed_entities[file_path] = entity_markdown
+        for path in [*changes.new, *changes.modified]:
+            entity_markdown = await self.entity_parser.parse_file(directory / path)
+            parsed_entities[path] = entity_markdown

        # First pass: Create/update entities
        # entities will have a null checksum to indicate they are not complete
-        for file_path, entity_markdown in parsed_entities.items():
-
+        for path, entity_markdown in parsed_entities.items():
            # Get unique permalink and update markdown if needed
            permalink = await self.entity_service.resolve_permalink(
-                file_path,
-                markdown=entity_markdown
+                Path(path), markdown=entity_markdown
            )

            if permalink != entity_markdown.frontmatter.permalink:
                # Add/update permalink in frontmatter
-                logger.info(f"Adding permalink '{permalink}' to file: {file_path}")
+                logger.info(f"Adding permalink '{permalink}' to file: {path}")

                # update markdown
                entity_markdown.frontmatter.metadata["permalink"] = permalink
-                
+
                # update file frontmatter
                updated_checksum = await file_utils.update_frontmatter(
-                    directory / file_path,
-                    {"permalink": permalink}
+                    directory / path, {"permalink": permalink}
                )

                # Update checksum in changes report since file was modified
-                changes.checksums[file_path] = updated_checksum
-            
+                changes.checksums[path] = updated_checksum
+
            # if the file is new, create an entity
-            if file_path in changes.new:
+            if path in changes.new:
                # Create entity with final permalink
-                logger.debug(f"Creating new entity_markdown: {file_path}")
-                await self.entity_service.create_entity_from_markdown(
-                    file_path, entity_markdown
-                )
+                logger.debug(f"Creating new entity_markdown: {path}")
+                await self.entity_service.create_entity_from_markdown(Path(path), entity_markdown)
            # otherwise we need to update the entity and observations
            else:
-                logger.debug(f"Updating entity_markdown: {file_path}")
+                logger.debug(f"Updating entity_markdown: {path}")
                await self.entity_service.update_entity_and_observations(
-                    file_path, entity_markdown
+                    Path(path), entity_markdown
                )

        # Second pass
-        for file_path, entity_markdown in parsed_entities.items():
-            logger.debug(f"Updating relations for: {file_path}")
+        for path, entity_markdown in parsed_entities.items():
+            logger.debug(f"Updating relations for: {path}")

            # Process relations
-            checksum = changes.checksums[file_path]
-            entity = await self.entity_service.update_entity_relations(
-                file_path, entity_markdown
-            )
+            checksum = changes.checksums[path]
+            entity = await self.entity_service.update_entity_relations(Path(path), entity_markdown)

            # add to search index
            await self.search_service.index_entity(entity)
@@ -152,14 +144,22 @@ class SyncService:
            target_entity = await self.entity_service.link_resolver.resolve_link(relation.to_name)
            # check we found a link that is not the source
            if target_entity and target_entity.id != relation.from_id:
-                logger.debug(f"Resolved forward reference: {relation.to_name} -> {target_entity.permalink}")
-                await self.relation_repository.update(relation.id, {
-                    "to_id": target_entity.id,
-                    "to_name": target_entity.title  # Update to actual title
-                })
+                logger.debug(
+                    f"Resolved forward reference: {relation.to_name} -> {target_entity.permalink}"
+                )
+
+                try:
+                    await self.relation_repository.update(
+                        relation.id,
+                        {
+                            "to_id": target_entity.id,
+                            "to_name": target_entity.title,  # Update to actual title
+                        },
+                    )
+                except IntegrityError:
+                    logger.debug(f"Ignoring duplicate relation {relation}")

                # update search index
                await self.search_service.index_entity(target_entity)

-
        return changes
@@ -1,45 +1,13 @@
 """Types and utilities for file sync."""

 from dataclasses import dataclass, field
-from typing import Set, Dict, Optional
-from watchfiles import Change
-from basic_memory.services.file_service import FileService
-
-
-@dataclass
-class FileChange:
-    """A change to a file detected by the watch service.
-    
-    Attributes:
-        change_type: Type of change (added, modified, deleted)
-        path: Path to the file
-        checksum: File checksum (None for deleted files)
-    """
-    change_type: Change
-    path: str
-    checksum: Optional[str] = None
-
-    @classmethod
-    async def from_path(cls, path: str, change_type: Change, file_service: FileService) -> "FileChange":
-        """Create FileChange from a path, computing checksum if file exists.
-        
-        Args:
-            path: Path to the file
-            change_type: Type of change detected
-            file_service: Service to read file and compute checksum
-            
-        Returns:
-            FileChange with computed checksum for non-deleted files
-        """
-        file_path = file_service.path(path)
-        content, checksum = await file_service.read_file(file_path) if change_type != Change.deleted else (None, None)
-        return cls(path=file_path, change_type=change_type, checksum=checksum)
+from typing import Set, Dict


@dataclass
 class SyncReport:
    """Report of file changes found compared to database state.
-    
+
    Attributes:
        total: Total number of files in directory being synced
        new: Files that exist on disk but not in database
@@ -48,19 +16,16 @@ class SyncReport:
        moves: Files that have been moved from one location to another
        checksums: Current checksums for files on disk
    """
+
    total: int = 0
+    # We keep paths as strings in sets/dicts for easier serialization
    new: Set[str] = field(default_factory=set)
    modified: Set[str] = field(default_factory=set)
    deleted: Set[str] = field(default_factory=set)
-    moves: Dict[str, str] = field(default_factory=dict)  # old_path -> new_path  
-    checksums: Dict[str, str] = field(default_factory=dict) # path -> checksum
+    moves: Dict[str, str] = field(default_factory=dict)  # old_path -> new_path
+    checksums: Dict[str, str] = field(default_factory=dict)  # path -> checksum

    @property
    def total_changes(self) -> int:
        """Total number of changes."""
        return len(self.new) + len(self.modified) + len(self.deleted) + len(self.moves)
-
-    @property
-    def syned_files(self) -> int:
-        """Total number of files synced."""
-        return len(self.new) + len(self.modified) + len(self.moves)
@@ -8,7 +8,6 @@ from datetime import datetime
 from pathlib import Path
 from typing import List, Optional

-from rich import box
 from rich.console import Console
 from rich.live import Live
 from rich.table import Table
@@ -84,7 +83,7 @@ class WatchService:

    def generate_table(self) -> Table:
        """Generate status display table"""
-        table = Table(title="Basic Memory Sync Status")
+        table = Table()

        # Add status row
        table.add_column("Status", style="cyan")
@@ -131,13 +130,36 @@ class WatchService:

        return table

-    async def run(self):
+    async def run(self, console_status: bool = False):  # pragma: no cover
        """Watch for file changes and sync them"""
+        logger.info("Watching for sync changes")
        self.state.running = True
        self.state.start_time = datetime.now()
        await self.write_status()

-        with Live(self.generate_table(), refresh_per_second=4, console=self.console) as live:
+        if console_status:
+            with Live(self.generate_table(), refresh_per_second=4, console=self.console) as live:
+                try:
+                    async for changes in awatch(
+                        self.config.home,
+                        watch_filter=self.filter_changes,
+                        debounce=self.config.sync_delay,
+                        recursive=True,
+                    ):
+                        # Process changes
+                        await self.handle_changes(self.config.home)
+                        # Update display
+                        live.update(self.generate_table())
+
+                except Exception as e:
+                    self.state.record_error(str(e))
+                    await self.write_status()
+                    raise
+                finally:
+                    self.state.running = False
+                    await self.write_status()
+
+        else:
            try:
                async for changes in awatch(
                    self.config.home,
@@ -148,7 +170,6 @@ class WatchService:
                    # Process changes
                    await self.handle_changes(self.config.home)
                    # Update display
-                    live.update(self.generate_table())

            except Exception as e:
                self.state.record_error(str(e))
@@ -1,38 +1,18 @@
 """Utility functions for basic-memory."""
+
 import os
 import re
-import unicodedata
+import sys
 from pathlib import Path
+from typing import Optional, Union

+from loguru import logger
 from unidecode import unidecode

-
-def sanitize_name(name: str) -> str:
-    """
-    Sanitize a name for filesystem use:
-    - Convert to lowercase
-    - Replace spaces/punctuation with underscores
-    - Remove emojis and other special characters
-    - Collapse multiple underscores
-    - Trim leading/trailing underscores
-    """
-    # Normalize unicode to compose characters where possible
-    name = unicodedata.normalize("NFKD", name)
-    # Remove emojis and other special characters, keep only letters, numbers, spaces
-    name = "".join(c for c in name if c.isalnum() or c.isspace())
-    # Replace spaces with underscores
-    name = name.replace(" ", "_")
-    # Remove newline
-    name = name.replace("\n", "")
-    # Convert to lowercase
-    name = name.lower()
-    # Collapse multiple underscores and trim
-    name = re.sub(r"_+", "_", name).strip("_")
-
-    return name
+from basic_memory.config import config


-def generate_permalink(file_path: Path | str) -> str:
+def generate_permalink(file_path: Union[Path, str]) -> str:
    """Generate a stable permalink from a file path.

    Args:
@@ -50,8 +30,11 @@ def generate_permalink(file_path: Path | str) -> str:
        >>> generate_permalink("design/unified_model_refactor.md")
        'design/unified-model-refactor'
    """
+    # Convert Path to string if needed
+    path_str = str(file_path)
+
    # Remove extension
-    base = os.path.splitext(file_path)[0]
+    base = os.path.splitext(path_str)[0]

    # Transliterate unicode to ascii
    ascii_text = unidecode(base)
@@ -63,16 +46,42 @@ def generate_permalink(file_path: Path | str) -> str:
    lower_text = ascii_text.lower()

    # replace underscores with hyphens
-    text_with_hyphens = lower_text.replace('_', '-')
+    text_with_hyphens = lower_text.replace("_", "-")

    # Replace remaining invalid chars with hyphens
-    clean_text = re.sub(r'[^a-z0-9/\-]', '-', text_with_hyphens)
+    clean_text = re.sub(r"[^a-z0-9/\-]", "-", text_with_hyphens)

    # Collapse multiple hyphens
-    clean_text = re.sub(r'-+', '-', clean_text)
+    clean_text = re.sub(r"-+", "-", clean_text)

    # Clean each path segment
-    segments = clean_text.split('/')
-    clean_segments = [s.strip('-') for s in segments]
+    segments = clean_text.split("/")
+    clean_segments = [s.strip("-") for s in segments]

-    return '/'.join(clean_segments)
+    return "/".join(clean_segments)
+
+
+def setup_logging(home_dir: Path = config.home, log_file: Optional[str] = None) -> None:
+    """
+    Configure logging for the application.
+    """
+
+    # Remove default handler and any existing handlers
+    logger.remove()
+
+    # Add file handler
+    if log_file:
+        log_path = home_dir / log_file
+        logger.add(
+            str(log_path),  # loguru expects a string path
+            level=config.log_level,
+            rotation="100 MB",
+            retention="10 days",
+            backtrace=True,
+            diagnose=True,
+            enqueue=True,
+            colorize=False,
+        )
+
+    # Add stderr handler
+    logger.add(sys.stderr, level=config.log_level, backtrace=True, diagnose=True, colorize=True)
@@ -1,458 +0,0 @@
-# Basic Memory Tasks
-
-## Current Focus
-
-### Observation Management
-
-Implement update/remove functionality for observations with a focus on maintainability and consistency with our "
-filesystem is source of truth" principle.
-
-Options under consideration:
-
-1. Bulk Update Approach
-    - Update all observations at once
-    - Pros:
-        - Simpler file operations
-        - No need to match on observation content
-        - Easier database synchronization
-        - Very consistent with "filesystem is source of truth"
-    - Cons:
-        - Less efficient - rewrites everything for small changes
-        - Potential concurrency implications
-
-2. Tracked Observations Approach
-    - Use markdown comments for observation IDs
-   ```markdown
-   # Entity Name
-   type: entity_type
-   
-   ## Observations
-   - <!-- obs-id: abc123 -->
-     This is an observation
-   ```
-    - Pros:
-        - Can track individual observations
-        - Enables precise updates/deletes
-    - Cons:
-        - More complex markdown parsing
-        - IDs visible in markdown
-
-3. Diff-based Approach
-    - Implement observation-aware diffing
-    - Track changes at observation level
-    - Pros:
-        - More efficient updates
-        - Preserves manual edits
-    - Cons:
-        - More complex implementation
-        - Need to handle merge conflicts
-
-4. Position-based Management
-    - Track observations by their position/order
-    - Pros:
-        - No need for explicit IDs
-        - Clean markdown
-    - Cons:
-        - Fragile if order changes
-        - Hard to handle concurrent edits
-
-## Completed
-
- [x] Extract file operations to fileio.py module
- [x] Update EntityService to use fileio functions
- [x] Initial ObservationService implementation
- [x] Basic test coverage
-
-## Future Work
-
- [ ] Implement observation updates/removals (exploring options above)
- [ ] Proper session management for concurrent operations
- [ ] EntityService tests using new fileio module
- [ ] More sophisticated search functionality
- [ ] Handle markdown formatting edge cases
-
-## TODO
-
-### refactor input schema
-
-1. Observations Format:
-   Old (JSON) way I tried first:
-
-```python
-"observations": ["First observation", "Second observation"]  # Simple string array
-```
-
-New required format:
-
-```python
-"observations": [
-    {"content": "First observation"},
-    {"content": "Second observation"}
-]  # Array of objects with content field
-```
-
-2. Relations Format:
-   Old way:
-
-```python
-"relations": [
-    {"from": "EntityName", "to": "OtherEntity", "relationType": "relates_to"}  # Using names
-]
-```
-
-New format:
-
-```python
-"relations": [
-    {"fromId": "20241210-entity-id", "toId": "20241210-other-id", "relationType": "relates_to"}  # Using IDs
-]
-```
-
-My preferences:
-
-1. For observations: The simple string array felt more intuitive for basic use, but I can see the benefits of the object
-   format:
-    - Allows for additional metadata (context, timestamps, etc.)
-    - More explicit about what each field means
-    - Consistent with how we'd want to store this in a database
-
-2. For relations: Using IDs is technically better but requires an extra lookup step in my workflow:
-    - I have to first create the entities to get their IDs
-    - Then use those IDs to create relations
-    - Makes it harder to create entities and relations in a single step
-
-Suggestions for making it more intuitive:
-
-1. For observations: We could have a helper function that accepts either format:
-
-```python
-# Both would work:
-create_entities([{
-    "name": "Entity",
-    "entityType": "type",
-    "observations": ["Simple string obs"]  # Auto-converted to object format
-}])
-
-create_entities([{
-    "name": "Entity",
-    "entityType": "type",
-    "observations": [{"content": "Full object obs"}]  # Native format
-}])
-```
-
-2. For relations: Maybe allow a name-based helper function:
-
-```python
-# Instead of requiring IDs:
-create_relations_by_name([{
-    "from": "EntityName",
-    "to": "OtherEntity",
-    "relationType": "relates_to"
-}])
-```
-
-3. A combined creation function for when we want to create entities and their relations together:
-
-```python
-create_entity_with_relations({
-    "entity": {
-        "name": "NewEntity",
-        "entityType": "type",
-        "observations": ["Obs 1", "Obs 2"]
-    },
-    "relations": [{
-        "to": "ExistingEntity",
-        "relationType": "relates_to"
-    }]
-})
-```
-
-The current schema is more "correct" from a software engineering perspective, but these helpers could make it more
-natural to use while maintaining the rigorous underlying structure. What do you think about these suggestions? Would you
-prefer to keep it strict for clarity, or add some convenience layers?
-
-### entity file organization
-
- my problems
-    - wall of text is hard to scan visually
-    - files are not ordered or grouped granular enough. Only `<date>_<entity_name>.md`
-    - hard to tell when a new entity file is added
-
-Possible fixes:
-
- use subdirectories?
-
-## TASKS
-
-1. **Core Functionality Improvements**
-    - [x] entity.description addition
-    - [x] subdirectories 
-      - Paul needs this for markdown view
-    - [x] refine directory sprawl
-    - [ ] improve tool api
-    - [ ] Choose and implement observation update/removal strategy
-    - [ ] Handle relationship updates in files
-    - [ ] Complete full CRUD operations
-      - delete
-    - [ ] Improve search functionality (currently broken as we discovered)
-
-### Suggested Sequence
-
-1. **Schema Update First**
-   - Add `entity.description` field
-   - rename entity.references?
-   - This affects database, Pydantic models, and file format
-   - Good foundation for other changes
-
-2. **File Organization**
-   - Add subdirectory support
-   - Affects:
-     - File path handling
-     - Entity loading/saving
-     - URI resolution
-   - Will make Paul's markdown viewing experience better
-
-3. **Tool API Improvements**
-   - Cleaner input/output schemas
-   - More consistent patterns
-   - Better error handling
-   - This sets us up for implementing the remaining operations
-
-4. **Core Operations**
-   - Implement delete operations
-   - Update/remove observations
-   - Relationship updates in files
-   - Building on the improved API
-
-5. **Search Fix**
-   - Can properly tackle this after file organization
-   - Will benefit from improved schema
-
-Would you like me to:
-1. Start with the schema update for entity.description?
-2. Plan out the subdirectory implementation?
-3. Or focus on a different area?
-
-I think the schema update would be a clean, contained change to start with, but I'm happy to tackle whichever part you think would be most valuable first.
-
-
-2. **Robustness & Testing**
-    - Fix DI issues
-      - Learn from fastmcp patterns
-    - Markdown service
-      - markdown.py
-      -python-frontmatter
-    - Complete test coverage
-      - Expand testing across services
-      - 100% coverate
-    - Improve error handling and logging
-    - Add comprehensive type hints
-
-3. **Architecture Improvements**
-    - Handle concurrent file operations safely
-    - Implement proper session management
-    - Balance file operations and DB sync
-    - Handle markdown formatting edge cases
-
-4. **Documentation & Infrastructure**
-    - Document core modules
-    - Implement proper backup strategy
-    - Add file change versioning
-    - Improve CLI interface
-
-
-## Ideas
-
- need update tool
-
-### 2-way sync
-
- Enable updates to the markdown files to be able to be seen by AI
-    - possible via tool sync
-    - filesystem notifications via agent?
-    - Claude can use `file_write` tool to edit Entity files also
-
-### Projects
-
- support multiple projects
- figure out flow
-    - load project at startup?
-    - switch project during chat?
-
-### References
-
- better support for ref:// references
- should we call them memory://<project>/<entity>
- use Prompt to invoke reference uri
-
-### Entity File format
-
- Consider using wiki link format:
-  [[20241210-ai_human_collaboration_model]] improves
-
-instead of
-[20241210-basic-memory] validates_design_of
-
- use frontmatter for file header
-
-### Code
-
- cleanup server.py
- use markdown.py?
- fastmcp?
- Entity.description
-
-### Other Features
-
- Search
- webui
- python notebook?
- vector eb extension for sqlite
-
-#### Obsidian
-
- use as file viewer editor
- create knowledge graph?
-
-#### Save chats
-
-I'll sketch out a potential schema for chat sessions in our system:
-
-```
-{
-  `entities`: [
-    {
-      `name`: `Chat_Entity_Design`,
-      `entityType`: `design_proposal`,
-      `observations`: [
-        {
-          `content`: `Entity Schema:
-type: chat_session
-date: ISO timestamp
-participants: [human, ai]
-topic: string
-context_refs: [memory://<project>/<entity_id>]
-key_decisions: [string]
-summary: string`
-        },
-        {
-          `content`: `File Format (frontmatter):
---
-type: chat_session
-date: 2024-12-10T10:30:00Z
-participants:
-  - human: paul
-  - ai: claude
-topic: Chat Session Storage Design
-context_refs:
-  - memory://basic-memory/20241210-chat-entity-design
-key_decisions:
-  - Store chats as first-class entities
-  - Use memory:// URI scheme
-summary: Designed schema for chat storage
---`
-        },
-        {
-          `content`: `Example Relations:
- chat_session references design_proposal
- chat_session implements feature
- chat_session discusses concept
- chat_session continues_from previous_chat`
-        },
-        {
-          `content`: `Auto-generation approach:
-1. At end of chat, Claude summarizes key points
-2. Creates chat entity with metadata
-3. Adds relations to referenced entities
-4. Updates any entities modified during chat`
-        },
-        {
-          `content`: `Integration points:
- memory:// URI scheme for references
- Relations to track context chain
- File format matches entity schema
- Automatic metadata generation`
-        }
-      ]
-    }
-  ]
-} 
-```
-
-```
-{
-  `entities`: [
-    {
-      `name`: `Chat_Session_Workflow`,
-      `entityType`: `process`,
-      `observations`: [
-        {
-          `content`: `Start of chat:
- Load any referenced context via memory:// URIs
- Initialize new chat session metadata
- Track entities being discussed/modified`
-        },
-        {
-          `content`: `During chat:
- Update references as new entities are mentioned
- Track key decisions and changes
- Note any new relations discovered`
-        },
-        {
-          `content`: `End of chat:
- Generate summary and key points
- Create chat session entity
- Add relations to referenced entities
- Update any modified entities`
-        },
-        {
-          `content`: `Future chat reference:
- Can reference previous chat via memory:// URI
- Loads relevant context and decisions
- Creates continues_from relation automatically`
-        }
-      ]
-    }
-  ]
-}
-```
-
-Key aspects of this design:
-
-1. Chat Session as Entity
-
- Clear metadata (participants, date, topic)
- Explicit references to other entities via memory:// URIs
- Captures key decisions and summary
- Uses frontmatter for clean file format
-
-2. Rich Relations
-
- Can track chat-to-chat continuity
- Links to entities discussed/modified
- Captures purpose (discusses, implements, etc.)
- Maintains context chain
-
-3. Automated Workflow
-
- I could generate metadata during chat
- Create summary and relations at end
- Update any modified entities
- Makes context loading explicit
-
-4. Integration
-
- memory:// URI scheme fits naturally
- File format matches our entity pattern
- Two-way links between chats and entities
- Clear context persistence model
-
-The nice thing about this design is that it makes chat sessions "first-class citizens" in our knowledge graph while
-keeping everything in human-readable markdown files.
-
-Would you like me to:
-
-1. Sketch out what this chat would look like as an entity?
-2. Detail the MCP tool changes needed?
-3. Mock up the file format more precisely?
-4. Something else?
@@ -77,8 +77,6 @@ async def test_create_entity_observations_relations(client: AsyncClient, file_se
    assert entity.relations[0].from_id == "test/test-entity"
    assert entity.relations[0].to_id is None

-    # TODO Relation.to_id should be name from link
-
    # Verify file has new content but preserved metadata
    file_path = file_service.get_entity_path(entity)
    file_content, _ = await file_service.read_file(file_path)
@@ -111,8 +109,12 @@ async def test_get_entity(client: AsyncClient):
 async def test_get_entities(client: AsyncClient):
    """Should open multiple entities by path IDs."""
    # Create a few entities with different names
-    await client.post("/knowledge/entities", json={"title": "AlphaTest", "folder": "", "entity_type": "test"})
-    await client.post("/knowledge/entities", json={"title": "BetaTest", "folder": "", "entity_type": "test"})
+    await client.post(
+        "/knowledge/entities", json={"title": "AlphaTest", "folder": "", "entity_type": "test"}
+    )
+    await client.post(
+        "/knowledge/entities", json={"title": "BetaTest", "folder": "", "entity_type": "test"}
+    )

    # Open nodes by path IDs
    response = await client.get(
@@ -397,7 +399,12 @@ async def test_update_entity_type_conversion(client: AsyncClient):
 async def test_update_entity_metadata(client: AsyncClient):
    """Test updating entity metadata."""
    # Create entity
-    data = {"title": "test", "folder": "", "entity_type": "test", "entity_metadata": {"status": "draft"}}
+    data = {
+        "title": "test",
+        "folder": "",
+        "entity_type": "test",
+        "entity_metadata": {"status": "draft"},
+    }
    response = await client.post("/knowledge/entities", json=data)
    entity_response = response.json()

@@ -450,7 +457,12 @@ async def test_update_entity_incorrect_permalink(client: AsyncClient):
 async def test_update_entity_search_index(client: AsyncClient):
    """Test search index is updated after entity changes."""
    # Create entity
-    data = {"title": "test", "folder": "", "entity_type": "test", "content": "Initial searchable content"}
+    data = {
+        "title": "test",
+        "folder": "",
+        "entity_type": "test",
+        "content": "Initial searchable content",
+    }
    response = await client.post("/knowledge/entities", json=data)
    entity_response = response.json()

@@ -23,7 +23,7 @@ async def test_get_memory_context(client, test_graph):
    assert context.metadata.depth == 1  # default depth
    # assert context.metadata["timeframe"] == "7d"  # default timeframe
    assert isinstance(context.metadata.generated_at, datetime)
-    assert context.metadata.total_results == 2
+    assert context.metadata.total_results == 3


@pytest.mark.asyncio
@@ -69,15 +69,6 @@ async def test_get_memory_context_timeframe(client, test_graph):
    assert len(older.related_results) >= len(recent.related_results)


-@pytest.mark.asyncio
-async def test_get_related_context_filters(client, test_graph):
-    """Test filtering related content by relation type."""
-    response = await client.get("/memory/related/test/root")
-    assert response.status_code == 200
-
-    context = GraphContext(**response.json())
-
-
@pytest.mark.asyncio
 async def test_not_found(client):
    """Test handling of non-existent paths."""
@@ -35,6 +35,7 @@ async def test_get_resource_content(client, test_config, entity_repository):
    assert response.text == content


+@pytest.mark.asyncio
 async def test_get_resource_by_title(client, test_config, entity_repository):
    """Test getting content by permalink."""
    # Create a test file
@@ -11,7 +11,6 @@ from basic_memory.schemas import Entity as EntitySchema
 from basic_memory.schemas.search import SearchItemType, SearchResponse


-
@pytest_asyncio.fixture
 async def indexed_entity(init_search_index, full_entity, search_service):
    """Create an entity and index it."""
@@ -22,17 +21,17 @@ async def indexed_entity(init_search_index, full_entity, search_service):
@pytest.mark.asyncio
 async def test_search_basic(client, indexed_entity):
    """Test basic text search."""
-    response = await client.post("/search/", json={"text": "searchable"})
+    response = await client.post("/search/", json={"text": "search"})
    assert response.status_code == 200
    search_results = SearchResponse.model_validate(response.json())
    assert len(search_results.results) == 3
-    
+
    found = False
    for r in search_results.results:
-        if r.type == SearchItemType.ENTITY.value:    
+        if r.type == SearchItemType.ENTITY.value:
            assert r.permalink == indexed_entity.permalink
            found = True
-    
+
    assert found, "Expected to find indexed entity in results"


@@ -45,13 +44,15 @@ async def test_search_with_type_filter(client, indexed_entity):
    )
    assert response.status_code == 200
    search_results = SearchResponse.model_validate(response.json())
+    assert len(search_results.results) > 0

-    # Should not find with wrong type
+    # Should find with relation type
    response = await client.post(
        "/search/", json={"text": "test", "types": [SearchItemType.RELATION.value]}
    )
    assert response.status_code == 200
    search_results = SearchResponse.model_validate(response.json())
+    assert len(search_results.results) == 2


@pytest.mark.asyncio
@@ -90,6 +91,7 @@ async def test_search_with_date_filter(client, indexed_entity):
    search_results = SearchResponse.model_validate(response.json())
    assert len(search_results.results) == 0

+
@pytest.mark.skip("search scoring is not implemented yet")
@pytest.mark.asyncio
 async def test_search_scoring(client, indexed_entity):
@@ -152,8 +154,6 @@ async def test_reindex(client, search_service, entity_service, session_maker):
    search_response = await client.post("/search/", json={"text": "test"})
    search_results = SearchResponse.model_validate(search_response.json())
    assert len(search_results.results) == 1
-    
-    


@pytest.mark.asyncio
@@ -0,0 +1,276 @@
+"""Tests for import_chatgpt command."""
+
+import json
+import pytest
+from typer.testing import CliRunner
+
+from basic_memory.cli.app import import_app, app
+from basic_memory.cli.commands import import_chatgpt
+from basic_memory.config import config
+from basic_memory.markdown import EntityParser, MarkdownProcessor
+
+# Set up CLI runner
+runner = CliRunner()
+
+
+@pytest.fixture
+def sample_conversation():
+    """Sample ChatGPT conversation data for testing."""
+    return {
+        "title": "Test Conversation",
+        "create_time": 1736616594.24054,  # Example timestamp
+        "update_time": 1736616603.164995,
+        "mapping": {
+            "root": {"id": "root", "message": None, "parent": None, "children": ["msg1"]},
+            "msg1": {
+                "id": "msg1",
+                "message": {
+                    "id": "msg1",
+                    "author": {"role": "user", "name": None, "metadata": {}},
+                    "create_time": 1736616594.24054,
+                    "content": {"content_type": "text", "parts": ["Hello, this is a test message"]},
+                    "status": "finished_successfully",
+                    "metadata": {},
+                },
+                "parent": "root",
+                "children": ["msg2"],
+            },
+            "msg2": {
+                "id": "msg2",
+                "message": {
+                    "id": "msg2",
+                    "author": {"role": "assistant", "name": None, "metadata": {}},
+                    "create_time": 1736616603.164995,
+                    "content": {"content_type": "text", "parts": ["This is a test response"]},
+                    "status": "finished_successfully",
+                    "metadata": {},
+                },
+                "parent": "msg1",
+                "children": [],
+            },
+        },
+    }
+
+
+@pytest.fixture
+def sample_conversation_with_code():
+    """Sample conversation with code block."""
+    conversation = {
+        "title": "Code Test",
+        "create_time": 1736616594.24054,
+        "update_time": 1736616603.164995,
+        "mapping": {
+            "root": {"id": "root", "message": None, "parent": None, "children": ["msg1"]},
+            "msg1": {
+                "id": "msg1",
+                "message": {
+                    "id": "msg1",
+                    "author": {"role": "assistant", "name": None, "metadata": {}},
+                    "create_time": 1736616594.24054,
+                    "content": {
+                        "content_type": "code",
+                        "language": "python",
+                        "text": "def hello():\n    print('Hello world!')",
+                    },
+                    "status": "finished_successfully",
+                    "metadata": {},
+                },
+                "parent": "root",
+                "children": [],
+            },
+            "msg2": {
+                "id": "msg2",
+                "message": {
+                    "id": "msg2",
+                    "author": {"role": "assistant", "name": None, "metadata": {}},
+                    "create_time": 1736616594.24054,
+                    "status": "finished_successfully",
+                    "metadata": {},
+                },
+                "parent": "root",
+                "children": [],
+            },
+        },
+    }
+    return conversation
+
+
+@pytest.fixture
+def sample_conversation_with_hidden():
+    """Sample conversation with hidden messages."""
+    conversation = {
+        "title": "Hidden Test",
+        "create_time": 1736616594.24054,
+        "update_time": 1736616603.164995,
+        "mapping": {
+            "root": {
+                "id": "root",
+                "message": None,
+                "parent": None,
+                "children": ["visible", "hidden"],
+            },
+            "visible": {
+                "id": "visible",
+                "message": {
+                    "id": "visible",
+                    "author": {"role": "user", "name": None, "metadata": {}},
+                    "create_time": 1736616594.24054,
+                    "content": {"content_type": "text", "parts": ["Visible message"]},
+                    "status": "finished_successfully",
+                    "metadata": {},
+                },
+                "parent": "root",
+                "children": [],
+            },
+            "hidden": {
+                "id": "hidden",
+                "message": {
+                    "id": "hidden",
+                    "author": {"role": "system", "name": None, "metadata": {}},
+                    "create_time": 1736616594.24054,
+                    "content": {"content_type": "text", "parts": ["Hidden message"]},
+                    "status": "finished_successfully",
+                    "metadata": {"is_visually_hidden_from_conversation": True},
+                },
+                "parent": "root",
+                "children": [],
+            },
+        },
+    }
+    return conversation
+
+
+@pytest.fixture
+def sample_chatgpt_json(tmp_path, sample_conversation):
+    """Create a sample ChatGPT JSON file."""
+    json_file = tmp_path / "conversations.json"
+    with open(json_file, "w") as f:
+        json.dump([sample_conversation], f)
+    return json_file
+
+
+@pytest.mark.asyncio
+async def test_process_chatgpt_json(tmp_path, sample_chatgpt_json):
+    """Test importing conversations from JSON."""
+    entity_parser = EntityParser(tmp_path)
+    processor = MarkdownProcessor(entity_parser)
+
+    results = await import_chatgpt.process_chatgpt_json(sample_chatgpt_json, tmp_path, processor)
+
+    assert results["conversations"] == 1
+    assert results["messages"] == 2
+
+    # Check conversation file exists
+    conv_path = tmp_path / "20250111-test-conversation.md"
+    assert conv_path.exists()
+
+    # Check content formatting
+    content = conv_path.read_text()
+    assert "# Test Conversation" in content
+    assert "### User" in content
+    assert "Hello, this is a test message" in content
+    assert "### Assistant" in content
+    assert "This is a test response" in content
+
+
+@pytest.mark.asyncio
+async def test_process_code_blocks(tmp_path, sample_conversation_with_code):
+    """Test handling of code blocks."""
+    entity_parser = EntityParser(tmp_path)
+    processor = MarkdownProcessor(entity_parser)
+
+    # Create test file
+    json_file = tmp_path / "code_test.json"
+    with open(json_file, "w") as f:
+        json.dump([sample_conversation_with_code], f)
+
+    await import_chatgpt.process_chatgpt_json(json_file, tmp_path, processor)
+
+    # Check content
+    conv_path = tmp_path / "20250111-code-test.md"
+    content = conv_path.read_text()
+    assert "```python" in content
+    assert "def hello():" in content
+    assert "```" in content
+
+
+@pytest.mark.asyncio
+async def test_hidden_messages(tmp_path, sample_conversation_with_hidden):
+    """Test handling of hidden messages."""
+    entity_parser = EntityParser(tmp_path)
+    processor = MarkdownProcessor(entity_parser)
+
+    # Create test file
+    json_file = tmp_path / "hidden_test.json"
+    with open(json_file, "w") as f:
+        json.dump([sample_conversation_with_hidden], f)
+
+    results = await import_chatgpt.process_chatgpt_json(json_file, tmp_path, processor)
+
+    # Should only count visible messages
+    assert results["messages"] == 1
+
+    # Check content
+    conv_path = tmp_path / "20250111-hidden-test.md"
+    content = conv_path.read_text()
+    assert "Visible message" in content
+    assert "Hidden message" not in content
+
+
+def test_import_chatgpt_command_file_not_found(tmp_path):
+    """Test error handling for nonexistent file."""
+    nonexistent = tmp_path / "nonexistent.json"
+    result = runner.invoke(app, ["import", "chatgpt", "--conversations-json", str(nonexistent)])
+    assert result.exit_code == 1
+    assert "File not found" in result.output
+
+
+def test_import_chatgpt_command_success(tmp_path, sample_chatgpt_json, monkeypatch):
+    """Test successful conversation import via command."""
+    # Set up test environment
+    monkeypatch.setenv("HOME", str(tmp_path))
+
+    # Run import
+    result = runner.invoke(
+        import_app, ["chatgpt", "--conversations-json", str(sample_chatgpt_json)]
+    )
+    assert result.exit_code == 0
+    assert "Import complete" in result.output
+    assert "Imported 1 conversations" in result.output
+    assert "Containing 2 messages" in result.output
+
+
+def test_import_chatgpt_command_invalid_json(tmp_path):
+    """Test error handling for invalid JSON."""
+    # Create invalid JSON file
+    invalid_file = tmp_path / "invalid.json"
+    invalid_file.write_text("not json")
+
+    result = runner.invoke(import_app, ["chatgpt", "--conversations-json", str(invalid_file)])
+    assert result.exit_code == 1
+    assert "Error during import" in result.output
+
+
+def test_import_chatgpt_with_custom_folder(tmp_path, sample_chatgpt_json, monkeypatch):
+    """Test import with custom conversations folder."""
+    # Set up test environment
+    config.home = tmp_path
+    conversations_folder = "chats"
+
+    # Run import
+    result = runner.invoke(
+        app,
+        [
+            "import",
+            "chatgpt",
+            "--conversations-json",
+            str(sample_chatgpt_json),
+            "--folder",
+            conversations_folder,
+        ],
+    )
+    assert result.exit_code == 0
+
+    # Check files in custom folder
+    conv_path = tmp_path / conversations_folder / "20250111-test-conversation.md"
+    assert conv_path.exists()
@@ -0,0 +1,174 @@
+"""Tests for import_claude command (chat conversations)."""
+
+import json
+import pytest
+from typer.testing import CliRunner
+
+from basic_memory.cli.app import app
+from basic_memory.cli.commands import import_claude_conversations as import_claude
+from basic_memory.config import config
+from basic_memory.markdown import EntityParser, MarkdownProcessor
+
+# Set up CLI runner
+runner = CliRunner()
+
+
+@pytest.fixture
+def sample_conversation():
+    """Sample conversation data for testing."""
+    return {
+        "uuid": "test-uuid",
+        "name": "Test Conversation",
+        "created_at": "2025-01-05T20:55:32.499880+00:00",
+        "updated_at": "2025-01-05T20:56:39.477600+00:00",
+        "chat_messages": [
+            {
+                "uuid": "msg-1",
+                "text": "Hello, this is a test",
+                "sender": "human",
+                "created_at": "2025-01-05T20:55:32.499880+00:00",
+                "content": [{"type": "text", "text": "Hello, this is a test"}],
+            },
+            {
+                "uuid": "msg-2",
+                "text": "Response to test",
+                "sender": "assistant",
+                "created_at": "2025-01-05T20:55:40.123456+00:00",
+                "content": [{"type": "text", "text": "Response to test"}],
+            },
+        ],
+    }
+
+
+@pytest.fixture
+def sample_conversations_json(tmp_path, sample_conversation):
+    """Create a sample conversations.json file."""
+    json_file = tmp_path / "conversations.json"
+    with open(json_file, "w") as f:
+        json.dump([sample_conversation], f)
+    return json_file
+
+
+@pytest.mark.asyncio
+async def test_process_chat_json(tmp_path, sample_conversations_json):
+    """Test importing conversations from JSON."""
+    entity_parser = EntityParser(tmp_path)
+    processor = MarkdownProcessor(entity_parser)
+
+    results = await import_claude.process_conversations_json(
+        sample_conversations_json, tmp_path, processor
+    )
+
+    assert results["conversations"] == 1
+    assert results["messages"] == 2
+
+    # Check conversation file
+    conv_path = tmp_path / "20250105-test-conversation.md"
+    assert conv_path.exists()
+    content = conv_path.read_text()
+
+    # Check content formatting
+    assert "### Human" in content
+    assert "Hello, this is a test" in content
+    assert "### Assistant" in content
+    assert "Response to test" in content
+
+
+def test_import_conversations_command_file_not_found(tmp_path):
+    """Test error handling for nonexistent file."""
+    nonexistent = tmp_path / "nonexistent.json"
+    result = runner.invoke(app, ["import", "claude", "conversations", str(nonexistent)])
+    assert result.exit_code == 1
+    assert "File not found" in result.output
+
+
+def test_import_conversations_command_success(tmp_path, sample_conversations_json, monkeypatch):
+    """Test successful conversation import via command."""
+    # Set up test environment
+    monkeypatch.setenv("HOME", str(tmp_path))
+
+    # Run import
+    result = runner.invoke(
+        app, ["import", "claude", "conversations", str(sample_conversations_json)]
+    )
+    assert result.exit_code == 0
+    assert "Import complete" in result.output
+    assert "Imported 1 conversations" in result.output
+    assert "Containing 2 messages" in result.output
+
+
+def test_import_conversations_command_invalid_json(tmp_path):
+    """Test error handling for invalid JSON."""
+    # Create invalid JSON file
+    invalid_file = tmp_path / "invalid.json"
+    invalid_file.write_text("not json")
+
+    result = runner.invoke(app, ["import", "claude", "conversations", str(invalid_file)])
+    assert result.exit_code == 1
+    assert "Error during import" in result.output
+
+
+def test_import_conversations_with_custom_folder(tmp_path, sample_conversations_json, monkeypatch):
+    """Test import with custom conversations folder."""
+    # Set up test environment
+    config.home = tmp_path
+    conversations_folder = "chats"
+
+    # Run import
+    result = runner.invoke(
+        app,
+        [
+            "import",
+            "claude",
+            "conversations",
+            str(sample_conversations_json),
+            "--folder",
+            conversations_folder,
+        ],
+    )
+    assert result.exit_code == 0
+
+    # Check files in custom folder
+    conv_path = tmp_path / conversations_folder / "20250105-test-conversation.md"
+    assert conv_path.exists()
+
+
+def test_import_conversation_with_attachments(tmp_path):
+    """Test importing conversation with attachments."""
+    # Create conversation with attachments
+    conversation = {
+        "uuid": "test-uuid",
+        "name": "Test With Attachments",
+        "created_at": "2025-01-05T20:55:32.499880+00:00",
+        "updated_at": "2025-01-05T20:56:39.477600+00:00",
+        "chat_messages": [
+            {
+                "uuid": "msg-1",
+                "text": "Here's a file",
+                "sender": "human",
+                "created_at": "2025-01-05T20:55:32.499880+00:00",
+                "content": [{"type": "text", "text": "Here's a file"}],
+                "attachments": [
+                    {"file_name": "test.txt", "extracted_content": "Test file content"}
+                ],
+            }
+        ],
+    }
+
+    json_file = tmp_path / "with_attachments.json"
+    with open(json_file, "w") as f:
+        json.dump([conversation], f)
+
+    # Set up environment
+    config.home = tmp_path
+
+    # Run import
+    result = runner.invoke(app, ["import", "claude", "conversations", str(json_file)])
+    assert result.exit_code == 0
+
+    # Check attachment formatting
+    conv_path = tmp_path / "conversations/20250105-test-with-attachments.md"
+    content = conv_path.read_text()
+    assert "**Attachment: test.txt**" in content
+    assert "```" in content
+    assert "Test file content" in content
@@ -0,0 +1,173 @@
+"""Tests for import_claude_projects command."""
+
+import json
+import pytest
+from typer.testing import CliRunner
+
+from basic_memory.cli.app import app
+from basic_memory.cli.commands import import_claude_projects
+from basic_memory.config import config
+from basic_memory.markdown import EntityParser, MarkdownProcessor
+
+# Set up CLI runner
+runner = CliRunner()
+
+
+@pytest.fixture
+def sample_project():
+    """Sample project data for testing."""
+    return {
+        "uuid": "test-uuid",
+        "name": "Test Project",
+        "created_at": "2025-01-05T20:55:32.499880+00:00",
+        "updated_at": "2025-01-05T20:56:39.477600+00:00",
+        "prompt_template": "# Test Prompt\n\nThis is a test prompt.",
+        "docs": [
+            {
+                "uuid": "doc-uuid-1",
+                "filename": "Test Document",
+                "content": "# Test Document\n\nThis is test content.",
+                "created_at": "2025-01-05T20:56:39.477600+00:00",
+            },
+            {
+                "uuid": "doc-uuid-2",
+                "filename": "Another Document",
+                "content": "# Another Document\n\nMore test content.",
+                "created_at": "2025-01-05T20:56:39.477600+00:00",
+            },
+        ],
+    }
+
+
+@pytest.fixture
+def sample_projects_json(tmp_path, sample_project):
+    """Create a sample projects.json file."""
+    json_file = tmp_path / "projects.json"
+    with open(json_file, "w") as f:
+        json.dump([sample_project], f)
+    return json_file
+
+
+@pytest.mark.asyncio
+async def test_process_projects_json(tmp_path, sample_projects_json):
+    """Test importing projects from JSON."""
+    entity_parser = EntityParser(tmp_path)
+    processor = MarkdownProcessor(entity_parser)
+
+    results = await import_claude_projects.process_projects_json(
+        sample_projects_json, tmp_path, processor
+    )
+
+    assert results["documents"] == 2
+    assert results["prompts"] == 1
+
+    # Check project directory structure
+    project_dir = tmp_path / "test-project"
+    assert project_dir.exists()
+    assert (project_dir / "docs").exists()
+    assert (project_dir / "prompt-template.md").exists()
+
+    # Check document files
+    doc1 = project_dir / "docs/test-document.md"
+    assert doc1.exists()
+    content1 = doc1.read_text()
+    assert "# Test Document" in content1
+    assert "This is test content" in content1
+
+    # Check prompt template
+    prompt = project_dir / "prompt-template.md"
+    assert prompt.exists()
+    prompt_content = prompt.read_text()
+    assert "# Test Prompt" in prompt_content
+    assert "This is a test prompt" in prompt_content
+
+
+def test_import_projects_command_file_not_found(tmp_path):
+    """Test error handling for nonexistent file."""
+    nonexistent = tmp_path / "nonexistent.json"
+    result = runner.invoke(app, ["import", "claude", "projects", str(nonexistent)])
+    assert result.exit_code == 1
+    assert "File not found" in result.output
+
+
+def test_import_projects_command_success(tmp_path, sample_projects_json, monkeypatch):
+    """Test successful project import via command."""
+    # Set up test environment
+    config.home = tmp_path
+
+    # Run import
+    result = runner.invoke(app, ["import", "claude", "projects", str(sample_projects_json)])
+    assert result.exit_code == 0
+    assert "Import complete" in result.output
+    assert "Imported 2 project documents" in result.output
+    assert "Imported 1 prompt templates" in result.output
+
+
+def test_import_projects_command_invalid_json(tmp_path):
+    """Test error handling for invalid JSON."""
+    # Create invalid JSON file
+    invalid_file = tmp_path / "invalid.json"
+    invalid_file.write_text("not json")
+
+    result = runner.invoke(app, ["import", "claude", "projects", str(invalid_file)])
+    assert result.exit_code == 1
+    assert "Error during import" in result.output
+
+
+def test_import_projects_with_base_folder(tmp_path, sample_projects_json, monkeypatch):
+    """Test import with custom base folder."""
+    # Set up test environment
+    config.home = tmp_path
+    base_folder = "claude-exports"
+
+    # Run import
+    result = runner.invoke(
+        app,
+        [
+            "import",
+            "claude",
+            "projects",
+            str(sample_projects_json),
+            "--base-folder",
+            base_folder,
+        ],
+    )
+    assert result.exit_code == 0
+
+    # Check files in base folder
+    project_dir = tmp_path / base_folder / "test-project"
+    assert project_dir.exists()
+    assert (project_dir / "docs").exists()
+    assert (project_dir / "prompt-template.md").exists()
+
+
+def test_import_project_without_prompt(tmp_path):
+    """Test importing project without prompt template."""
+    # Create project without prompt
+    project = {
+        "uuid": "test-uuid",
+        "name": "No Prompt Project",
+        "created_at": "2025-01-05T20:55:32.499880+00:00",
+        "updated_at": "2025-01-05T20:56:39.477600+00:00",
+        "docs": [
+            {
+                "uuid": "doc-uuid-1",
+                "filename": "Test Document",
+                "content": "# Test Document\n\nContent.",
+                "created_at": "2025-01-05T20:56:39.477600+00:00",
+            }
+        ],
+    }
+
+    json_file = tmp_path / "no_prompt.json"
+    with open(json_file, "w") as f:
+        json.dump([project], f)
+
+    # Set up environment
+    config.home = tmp_path
+
+    # Run import
+    result = runner.invoke(app, ["import", "claude", "projects", str(json_file)])
+    assert result.exit_code == 0
+    assert "Imported 1 project documents" in result.output
+    assert "Imported 0 prompt templates" in result.output
@@ -1,175 +1,134 @@
-"""Test import-json command functionality."""
+"""Tests for import_memory_json command."""

 import json
-from io import StringIO
-from pathlib import Path
-
 import pytest
-from rich.console import Console
+from typer.testing import CliRunner

-from basic_memory.cli.commands.import_memory_json import process_memory_json
+from basic_memory.cli.app import import_app
+from basic_memory.cli.commands import import_memory_json
 from basic_memory.markdown import EntityParser, MarkdownProcessor

-
-@pytest.fixture
-def console():
-    """Create test console that captures output."""
-    output = StringIO()
-    return Console(file=output), output
+# Set up CLI runner
+runner = CliRunner()


@pytest.fixture
-def sample_memory_json(tmp_path) -> Path:
-    """Create a sample memory.json file with test data."""
-    json_path = tmp_path / "memory.json"
-    
-    # Create test data modeling the real format
-    test_data = [
+def sample_entities():
+    """Sample entities for testing."""
+    return [
        {
            "type": "entity",
-            "name": "Basic_Memory",
-            "entityType": "software_system",
-            "observations": [
-                "A core component of Basic Machines",
-                "Local-first knowledge management system",
-                "Combines filesystem persistence with graph-based knowledge representation"
-            ]
-        },
-        {
-            "type": "entity",
-            "name": "Basic_Machines",
-            "entityType": "project",
-            "observations": [
-                "Local-first knowledge management system",
-                "Focuses on enhancing human agency and understanding",
-                "Current focus includes basic-memory system"
-            ]
+            "name": "test_entity",
+            "entityType": "test",
+            "observations": ["Test observation 1", "Test observation 2"],
        },
        {
            "type": "relation",
-            "from": "Basic_Memory",
-            "to": "Basic_Machines",
-            "relationType": "is_component_of"
-        }
+            "from": "test_entity",
+            "to": "related_entity",
+            "relationType": "test_relation",
+        },
    ]
-    
-    # Write each item as a JSON line
-    with open(json_path, 'w') as f:
-        for item in test_data:
-            f.write(json.dumps(item) + '\n')
-    
-    return json_path


+@pytest.fixture
+def sample_json_file(tmp_path, sample_entities):
+    """Create a sample memory.json file."""
+    json_file = tmp_path / "memory.json"
+    with open(json_file, "w") as f:
+        for entity in sample_entities:
+            f.write(json.dumps(entity) + "\n")
+    return json_file
+

@pytest.mark.asyncio
-async def test_process_memory_json(
-    sample_memory_json: Path,
-    markdown_processor: MarkdownProcessor,
-    test_config,
-):
-    """Test importing from memory.json format."""
-    # Process the import
-    results = await process_memory_json(sample_memory_json, test_config.home, markdown_processor)
-    
-    # Check results
-    assert results["entities"] == 2
+async def test_process_memory_json(tmp_path, sample_json_file):
+    """Test importing entities from JSON."""
+    entity_parser = EntityParser(tmp_path)
+    processor = MarkdownProcessor(entity_parser)
+
+    results = await import_memory_json.process_memory_json(sample_json_file, tmp_path, processor)
+
+    assert results["entities"] == 1
    assert results["relations"] == 1
-    
-    # Verify Basic_Memory entity file was created correctly
-    basic_memory_path = test_config.home / "software_system/Basic_Memory.md"
-    entity = await markdown_processor.read_file(basic_memory_path)
-    
-    assert entity.frontmatter.title == "Basic_Memory"
-    assert entity.frontmatter.type == "software_system"
-    assert len(entity.observations) == 3
-    assert len(entity.relations) == 1  # Should have the outgoing relation
-    assert entity.relations[0].type == "is_component_of"
-    assert entity.relations[0].target == "Basic_Machines"
-    
-    # Verify Basic_Machines entity file
-    basic_machines_path = test_config.home / "project/Basic_Machines.md"
-    entity = await markdown_processor.read_file(basic_machines_path)
-    
-    assert entity.frontmatter.title == "Basic_Machines"
-    assert entity.frontmatter.type == "project"
-    assert len(entity.observations) == 3
-    assert len(entity.relations) == 0  # No outgoing relations
+
+    # Check file was created
+    entity_file = tmp_path / "test/test_entity.md"
+    assert entity_file.exists()
+    content = entity_file.read_text()
+    assert "Test observation 1" in content
+    assert "Test observation 2" in content
+    assert "test_relation [[related_entity]]" in content


@pytest.mark.asyncio
-async def test_process_memory_json_empty_observations(
-    tmp_path: Path,
-    markdown_processor: MarkdownProcessor,
-    test_config,
-):
-    """Test handling entities with no observations."""
-    # Create test data
-    json_path = tmp_path / "memory.json"
-    test_data = [
-        {
-            "type": "entity",
-            "name": "Empty_Entity",
-            "entityType": "test",
-            "observations": []  # Empty observations
-        }
-    ]
-    
-    with open(json_path, 'w') as f:
-        for item in test_data:
-            f.write(json.dumps(item) + '\n')
-    
-    # Process import
-    results = await process_memory_json(json_path, test_config.home, markdown_processor)
-    
-    # Check results
-    assert results["entities"] == 1
-    assert results["relations"] == 0
-    
-    # Verify file was created
-    entity_path = test_config.home / "test/Empty_Entity.md"
-    entity = await markdown_processor.read_file(entity_path)
-    
-    assert entity.frontmatter.title == "Empty_Entity"
-    assert entity.observations == []
-    assert entity.relations == []
+async def test_get_markdown_processor(tmp_path, monkeypatch):
+    """Test getting markdown processor."""
+    monkeypatch.setenv("HOME", str(tmp_path))
+    processor = await import_memory_json.get_markdown_processor()
+    assert isinstance(processor, MarkdownProcessor)


-@pytest.mark.asyncio
-async def test_process_memory_json_special_characters(
-    tmp_path: Path,
-    markdown_processor: MarkdownProcessor,
-    test_config,
-):
-    """Test handling entities with special characters in text."""
-    # Create test data
-    json_path = tmp_path / "memory.json"
-    test_data = [
+def test_import_json_command_file_not_found(tmp_path):
+    """Test error handling for nonexistent file."""
+    nonexistent = tmp_path / "nonexistent.json"
+    result = runner.invoke(import_app, ["memory-json", str(nonexistent)])
+    assert result.exit_code == 1
+    assert "File not found" in result.output
+
+
+def test_import_json_command_success(tmp_path, sample_json_file, monkeypatch):
+    """Test successful JSON import via command."""
+    # Set up test environment
+    monkeypatch.setenv("HOME", str(tmp_path))
+
+    # Run import
+    result = runner.invoke(import_app, ["memory-json", str(sample_json_file)])
+    assert result.exit_code == 0
+    assert "Import complete" in result.output
+    assert "Created 1 entities" in result.output
+    assert "Added 1 relations" in result.output
+
+
+def test_import_json_command_invalid_json(tmp_path):
+    """Test error handling for invalid JSON."""
+    # Create invalid JSON file
+    invalid_file = tmp_path / "invalid.json"
+    invalid_file.write_text("not json")
+
+    result = runner.invoke(import_app, ["memory-json", str(invalid_file)])
+    assert result.exit_code == 1
+    assert "Error during import" in result.output
+
+
+def test_import_json_command_handle_old_format(tmp_path):
+    """Test handling old format JSON with from_id/to_id."""
+    # Create JSON with old format
+    old_format = [
        {
            "type": "entity",
-            "name": "Special_Entity",
+            "name": "test_entity",
            "entityType": "test",
-            "observations": [
-                "Contains *markdown* formatting",
-                "Has #hashtags and @mentions",
-                "Uses [square brackets] and {curly braces}"
-            ]
-        }
+            "observations": ["Test observation"],
+        },
+        {
+            "type": "relation",
+            "from_id": "test_entity",
+            "to_id": "other_entity",
+            "relation_type": "test_relation",
+        },
    ]
-    
-    with open(json_path, 'w') as f:
-        for item in test_data:
-            f.write(json.dumps(item) + '\n')
-    
-    # Process import
-    results = await process_memory_json(json_path, test_config.home, markdown_processor)
-    assert results["entities"] == 1
-    
-    # Verify file was created and content preserved
-    entity_path = test_config.home / "test/Special_Entity.md"
-    entity = await markdown_processor.read_file(entity_path)
-    
-    assert len(entity.observations) == 3
-    assert entity.observations[0].content == "Contains *markdown* formatting"
-    assert entity.observations[1].content == "Has #hashtags and @mentions"
-    assert entity.observations[2].content == "Uses [square brackets] and {curly braces}"
+
+    json_file = tmp_path / "old_format.json"
+    with open(json_file, "w") as f:
+        for item in old_format:
+            f.write(json.dumps(item) + "\n")
+
+    # Set up test environment
+    monkeypatch = pytest.MonkeyPatch()
+    monkeypatch.setenv("HOME", str(tmp_path))
+
+    # Run import
+    result = runner.invoke(import_app, ["memory-json", str(json_file)])
+    assert result.exit_code == 0
+    assert "Import complete" in result.output
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
semantic-release	132c5671d8	chore(release): 0.4.1 [skip ci]	2025-02-17 03:29:36 +00:00
phernandez	71de8acfd0	fix: fix alemic config	2025-02-16 21:22:22 -06:00
phernandez	50469d691b	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-16 21:13:44 -06:00
phernandez	85e620c72b	rejigger alembic files	2025-02-16 21:13:29 -06:00
semantic-release	493e0902b6	chore(release): 0.4.0 [skip ci]	2025-02-16 19:49:15 +00:00
Paul Hernandez	56f47d6812	feat: import chatgpt conversation data (#9 ) Co-authored-by: phernandez <phernandez@basicmachines.co>	2025-02-16 13:47:16 -06:00
Paul Hernandez	a15c346d5e	feat: Import claude.ai data (#8 ) Import Claude.ai conversation and project data to basic-memory Markdown format. --------- Co-authored-by: phernandez <phernandez@basicmachines.co>	2025-02-16 12:47:41 -06:00
semantic-release	c06cf19e62	chore(release): 0.3.0 [skip ci]	2025-02-15 20:43:17 +00:00
phernandez	41f5b1667b	format code	2025-02-15 14:38:19 -06:00
phernandez	ca632beb6f	fix: refactor db schema migrate handling	2025-02-15 14:36:12 -06:00
phernandez	a491c2b7d4	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-15 12:36:20 -06:00
phernandez	674dd1fd47	fix: remove create schema from init_db	2025-02-15 12:36:08 -06:00
phernandez	a91da13967	feat: set version in var, output version at startup	2025-02-15 12:26:48 -06:00
phernandez	e0803734e6	fix: handle memory:// url format in read_note tool	2025-02-15 12:00:03 -06:00
semantic-release	8a5a970ba9	chore(release): 0.2.21 [skip ci]	2025-02-15 00:13:30 +00:00
phernandez	65ebe5d194	fix: fix osx installer github action	2025-02-14 18:11:44 -06:00
phernandez	8370a06b6c	re-add xattr	2025-02-14 17:55:23 -06:00
phernandez	3270e6d82b	upload build artifacts	2025-02-14 17:49:35 -06:00
phernandez	c05d363a99	comment out xattr	2025-02-14 17:44:46 -06:00
phernandez	3f9c68ed85	set codesign_identity	2025-02-14 17:40:30 -06:00
phernandez	a8ffe051ea	install dev deps	2025-02-14 17:29:54 -06:00
phernandez	2c74434e99	install librrsvg	2025-02-14 17:22:50 -06:00
phernandez	bea3d6c889	wtf setup python	2025-02-14 17:20:23 -06:00
phernandez	14539010b1	wtf	2025-02-14 17:16:10 -06:00
phernandez	a19287c967	add installer build step back in	2025-02-14 17:09:22 -06:00
phernandez	64430b850e	installer debug	2025-02-14 16:54:37 -06:00
phernandez	10b2e91e34	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-14 16:14:50 -06:00
phernandez	1989db15fa	debug release installer app	2025-02-14 16:14:30 -06:00
semantic-release	17f0517917	chore(release): 0.2.20 [skip ci]	2025-02-14 05:40:17 +00:00
phernandez	8de84c0221	fix: fix installer artifact	2025-02-13 23:38:47 -06:00
semantic-release	b1d2a64933	chore(release): 0.2.19 [skip ci]	2025-02-14 05:36:28 +00:00
phernandez	fe8c3d87b0	fix: get app artifact for installer	2025-02-13 23:34:37 -06:00
semantic-release	89ee324df0	chore(release): 0.2.18 [skip ci]	2025-02-14 05:31:15 +00:00
phernandez	8664c57bb3	fix: don't zip app on release	2025-02-13 23:29:33 -06:00
phernandez	8117a7b0ed	don't zip app on release	2025-02-13 23:28:56 -06:00
semantic-release	f47fb2aeef	chore(release): 0.2.17 [skip ci]	2025-02-14 05:23:07 +00:00
phernandez	8fa197e2ec	fix: fix app zip in installer release	2025-02-13 23:21:31 -06:00
semantic-release	58f3fe95b7	chore(release): 0.2.16 [skip ci]	2025-02-14 05:16:14 +00:00
phernandez	1d6054d30a	fix: debug inspect build on ci	2025-02-13 23:14:23 -06:00
semantic-release	812947fc4b	chore(release): 0.2.15 [skip ci]	2025-02-14 04:56:42 +00:00
phernandez	dab957314a	fix: debug installer ci	2025-02-13 22:55:01 -06:00
semantic-release	70b2eb3a4a	chore(release): 0.2.14 [skip ci]	2025-02-14 04:48:04 +00:00
phernandez	80cdecdbf0	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-13 22:46:19 -06:00
phernandez	8dd923d5bc	fix: try using symlinks in installer build	2025-02-13 22:46:12 -06:00
semantic-release	0cb429bfd3	chore(release): 0.2.13 [skip ci]	2025-02-14 04:43:01 +00:00
phernandez	a15265783e	fix: refactor release.yml installer	2025-02-13 22:41:30 -06:00
semantic-release	e48deaeecf	chore(release): 0.2.12 [skip ci]	2025-02-14 04:33:35 +00:00
phernandez	854cf8302e	fix: fix cx_freeze options for installer	2025-02-13 22:31:50 -06:00
semantic-release	6e4a53cdfa	chore(release): 0.2.11 [skip ci]	2025-02-14 04:25:18 +00:00
phernandez	2e215fe83c	fix: ci installer app fix #37	2025-02-13 22:23:40 -06:00
semantic-release	b546941779	chore(release): 0.2.10 [skip ci]	2025-02-14 04:17:24 +00:00
phernandez	29a259421a	fix: fix build on github ci for app installer	2025-02-13 22:14:05 -06:00
semantic-release	071e76a0ff	chore(release): 0.2.9 [skip ci]	2025-02-14 04:04:56 +00:00
phernandez	9ee67e9de0	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-13 22:03:15 -06:00
phernandez	edbc04be60	fix: fix installer on ci, maybe	2025-02-13 22:03:08 -06:00
semantic-release	864209c5f8	chore(release): 0.2.8 [skip ci]	2025-02-14 03:47:45 +00:00
phernandez	b40f0c75da	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-13 21:46:07 -06:00
phernandez	230738ee9c	fix: try to fix installer ci	2025-02-13 21:45:58 -06:00
semantic-release	d15d8f91a4	chore(release): 0.2.7 [skip ci]	2025-02-14 03:40:31 +00:00
phernandez	a6fdfad374	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-13 21:33:45 -06:00
phernandez	3e78fcc2c2	fix: fix installer setup.py change ci to use make	2025-02-13 21:33:15 -06:00
semantic-release	b5d09a4854	chore(release): 0.2.6 [skip ci]	2025-02-14 03:23:02 +00:00
phernandez	01d46727b4	fix: bump project patch version	2025-02-13 21:18:25 -06:00
phernandez	713b3bedf8	fix path to installer app in ci	2025-02-13 21:08:46 -06:00
semantic-release	97d3a0196e	chore(release): 0.2.5 [skip ci]	2025-02-14 03:05:16 +00:00
phernandez	052f491fff	fix: refix vitual env in installer build	2025-02-13 20:55:21 -06:00
semantic-release	6589f5d251	chore(release): 0.2.4 [skip ci]	2025-02-14 02:48:31 +00:00
phernandez	9a4070eccf	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-13 20:40:38 -06:00
phernandez	41d4d81c1a	fix: workaround unsigned app	2025-02-13 20:40:33 -06:00
semantic-release	2bc4847c98	chore(release): 0.2.3 [skip ci]	2025-02-14 02:33:37 +00:00
phernandez	4b1be9e54f	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-13 20:26:20 -06:00
phernandez	53d220df58	fix: fix path to intaller app artifact	2025-02-13 20:24:46 -06:00
semantic-release	128b7657ec	chore(release): 0.2.2 [skip ci]	2025-02-14 02:21:21 +00:00
phernandez	373640c843	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-13 20:13:59 -06:00
phernandez	d4c8293687	fix: activate vitualenv in installer build	2025-02-13 20:13:40 -06:00
semantic-release	0d48404af4	chore(release): 0.2.1 [skip ci]	2025-02-14 02:09:47 +00:00
phernandez	f11bf78f3f	fix: trigger installer build on release	2025-02-13 19:58:50 -06:00
semantic-release	31c55c7a32	chore(release): 0.2.0 [skip ci]	2025-02-14 01:49:04 +00:00
Paul Hernandez	7c381a59c9	feat: build installer via github action (#7 ) * feat(ci): build installer via github action * enforce conventional commits in PR titles * feat: add icon to installer --------- Co-authored-by: phernandez <phernandez@basicmachines.co>	2025-02-13 19:42:38 -06:00
semantic-release	40a8242002	chore(release): 0.1.2 [skip ci]	2025-02-14 00:22:35 +00:00
phernandez	dde9ff228b	fix: fix installer for mac	2025-02-13 18:15:22 -06:00
phernandez	2f9178b050	fix: update uv installer url	2025-02-13 17:54:52 -06:00
phernandez	eb3360cc22	fix: remove unused FileChange dataclass	2025-02-13 17:50:59 -06:00
phernandez	f1eeaee104	remove tray menu and rumps	2025-02-13 15:50:27 -06:00
phernandez	355519a786	refactor cli commands	2025-02-13 15:42:50 -06:00
phernandez	23f45ce788	add installer for mac/windows	2025-02-13 14:51:52 -06:00
phernandez	86380a92b2	log sync conflict at debug instead of info	2025-02-13 14:21:06 -06:00
phernandez	a87ac58646	Merge branch 'installer'	2025-02-12 23:23:30 -06:00
phernandez	28513c8b8d	lint code	2025-02-12 22:39:22 -06:00
Paul Hernandez	c394d682e1	Alembic (#6 ) * remove database service * add alembic config for migrations * fix type check and format --------- Co-authored-by: phernandez <phernandez@basicmachines.co>	2025-02-12 22:12:52 -06:00
Paul Hernandez	5b4f0eafcc	Pre release fixups (#5 ) * configure logging * set mcp output logging also * fix type check errors * fix type check * rename Permalink schema type * fix type errors * add typechecks to ci workflow * pytest coverage setup * add tests for status cli * sync tests coverage * watch_service test coverage * tests for tool_utils.py * clean up imports * file_utils coverage * markdown plugins coverage * 99% test coverage * more test coverage, remove ObservationCategory * more tool coverage * fix type-check * format, upgrade deps --------- Co-authored-by: phernandez <phernandez@basicmachines.co>	2025-02-12 08:23:10 -06:00
phernandez	452308fd96	subprocess app tray wip	2025-02-08 12:35:28 -06:00
phernandez	8094528c40	menubar wip	2025-02-08 11:50:54 -06:00
phernandez	fa77a41e6f	menubar app wip	2025-02-08 10:22:47 -06:00
phernandez	12cd1e43b0	create .dmg	2025-02-07 23:09:48 -06:00
phernandez	c58a2e0893	cx freeze installer	2025-02-07 22:02:59 -06:00
phernandez	28318d8435	add install.sh script	2025-02-07 20:32:06 -06:00
semantic-release	7f7ec67cbb	chore(release): 0.1.1 [skip ci]	2025-02-07 23:28:29 +00:00
phernandez	04e575041e	Merge branch 'main' of github.com:basicmachines-co/basic-memory	2025-02-07 17:23:01 -06:00
phernandez	1fee436bf9	fix: recreate search index on db reset	2025-02-07 17:22:34 -06:00