[](https://www.gnu.org/licenses/agpl-3.0) [](https://badge.fury.io/py/basic-memory) [](https://www.python.org/downloads/) [](https://github.com/basicmachines-co/basic-memory/actions) [](https://github.com/astral-sh/ruff)   [](https://deepwiki.com/basicmachines-co/basic-memory) ## Skip the install — try Basic Memory in the cloud Claude, Codex, or Cursor connected in 30 seconds. No Python, no JSON, no terminal. **$15.00/mo locked in for life** (12.50/mo yearly pricing). 7-day free trial — cancel any time before day 7 if it's not for you. Beta pricing — sign up now and your rate never goes up. OSS users: code `BMFOSS` takes another 20% off for 3 months. [Start free trial →](https://basicmemory.com?utm_source=github&utm_medium=referral&utm_campaign=readme&utm_content=banner) ### Basic Memory Teams is now available! Give your team a single, shared cloud workspace. Knowledge isn't confined to one person — anything a teammate writes is immediately available to everyone else and to their AI assistants. Edit a note together in real time, hand work off between humans and agents, and build one connected knowledge base instead of scattered copies. Same pricing - start with one user and add more as needed. --- # Basic Memory ### Your AI never forgets again. Pick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or anything that speaks [MCP](https://modelcontextprotocol.io). Your knowledge lives as Markdown files that both you and your AI can read, write, and search. - **Local-first.** Plain text on your disk. Forever. - **Two-way.** AI and humans write to the same files; sync keeps them in step. - **A real knowledge graph.** Observations and wikilinks compound into context. - **Semantic search.** Find notes by meaning, not just keywords. - **MCP-native.** Works with every major AI client and IDE. - **Progressive tool discovery.** Every tool is tagged with behavior hints (read-only, destructive, idempotent) so agents pick the right tool on demand — no wasted context trying things to see what they do. - **Cloud, optional.** Sync across devices when you want — never required. ## Get started Pick the path that fits you. Both run the same product on the same Markdown.

☁️   Cloud	💻   Local install
**30 seconds.** Sign up, connect your AI client, done. - Works in any browser - Mobile, web, desktop - Cross-device sync built in - We handle hosting, backups, snapshots **$15.00/mo locked for life** · 7-day free trial · cancel any time [**Start free trial →**](https://basicmemory.com?utm_source=github&utm_medium=referral&utm_campaign=readme&utm_content=quickstart)	**2 minutes.** Install, configure your AI client, run. - Free forever (AGPL-3.0) - All data on your disk - Air-gapped friendly - Requires Python via [`uv`](https://docs.astral.sh/uv/) ```bash uv tool install basic-memory ``` [**Configure your client ↓**](#connect-your-ai-client)

## What people are saying > Basic Memory changed my whole relationship with LLMs. I switched from GPT > and Gemini to exclusively Claude and Claude Code because of this > integration and am completely revamping all our company's processes around > a Basic Memory workflow. > > — **Alex**, TrainerDay > Basic Memory is the missing 'wow' factor in AI chatbots. Now I can't > imagine Claude or Claude Code without it. > > — **Caleb**, Caleb Picker Consulting > I don't code without Basic Memory anymore. It's such a time saver to be > able to refer to projects I don't currently have active and keep a running > log of all my learnings and ProTips. > > — **@groksrc**, Developer More on [basicmemory.com](https://basicmemory.com?utm_source=github&utm_medium=referral&utm_campaign=readme). ## Basic Memory Cloud The hosted version of Basic Memory. Same product, same Markdown files, same MCP tools — we just host the database, run the sync, and put it on your phone. ### What you get - **Every device, same brain.** Your knowledge graph on web, mobile, and desktop. No copy-paste between machines. - **Connect any MCP client.** Claude Desktop, Claude Code, Codex, Cursor, ChatGPT (Custom GPTs), VS Code — one-click connect from the web app. - **Bidirectional sync to local.** Edit on your phone, see it in Obsidian on your laptop. rclone-powered with conflict resolution. - **Snapshots and backups.** Point-in-time restore. Browse history. Never lose a note. - **No lock-in.** Your notes are plain Markdown. Export to local Markdown any time — same files, same format, same wikilinks. Cancel anytime, your data stays yours. Built on WorkOS AuthKit, Neon Postgres, and Tigris S3. ### Pricing **$15.00/mo, locked in for the life of your subscription** (regular price $19). Sign up during beta and the rate never goes up — as long as you stay subscribed, you keep the price. One plan, no tiers, no surprise upgrades. Unlimited notes, unlimited projects, every feature. - 7-day free trial. Cancel any time before day 7 if it's not for you. - Cancel anytime after that too — export your notes whenever you want. - OSS users: code `BMFOSS` for another 20% off for 3 months (~$11.40/mo). [**Start your 7-day free trial →**](https://basicmemory.com?utm_source=github&utm_medium=referral&utm_campaign=readme&utm_content=cloud-section) ## Cloud vs. local | | Cloud | Local | |---|---|---| | **Setup time** | 30 seconds | 2 minutes (requires Python) | | **Cost** | $15.00/mo, locked for life (7-day trial) | Free | | **Storage** | We host (Tigris S3) | Your disk | | **Cross-device sync** | Built in | Manual (Git, Syncthing, etc.) | | **Mobile access** | Yes (web + app) | No | | **Air-gapped** | No | Yes | | **Your data stays yours** | Yes — export anytime | Yes — already there | | **Source code** | AGPL-3.0 | AGPL-3.0 | | **Snapshots & backups** | Built in | Roll your own | Both paths use the same OSS engine and the same Markdown files. There's no lock-in either way — flip between them when your needs change. ## Works with the tools you already use | Client | Transport | Notes | |---|---|---| | Cloud web app | https | Sign in at basicmemory.com — no install | | [Claude Desktop](#claude-desktop) | stdio/https | macOS / Windows / Linux | | [Claude Code](#claude-code) | stdio/https | `claude mcp add` | | [Codex](#codex-cli) | stdio/https | OpenAI's coding agent | | [Cursor](#cursor) | stdio/https | `.cursor/mcp.json` | | [VS Code](#vs-code) | stdio/https | Native MCP support | | [ChatGPT](#chatgpt) | https | Custom GPT actions (`search` / `fetch`) | | [Obsidian](#obsidian) | — | Reads/writes the same Markdown directly | | Anything MCP | stdio/https | If it speaks MCP, it works | ## Official agent packages This repository is also the canonical home for Basic Memory's host-native agent packages. The core Python package, Claude Code plugin, shared skills, Hermes plugin, and OpenClaw plugin all ship from the same source tree. Maintainers can verify the whole consolidated surface from the repo root: ```bash just package-check ``` Package-local justfiles are also available when working inside one host: ```bash just package-check-claude-code just package-check-skills just package-check-hermes just package-check-openclaw ``` ### Claude Code plugin The Claude Code plugin is the bridge between Claude's working memory and Basic Memory — session-start briefings, pre-compaction checkpoints, an opt-in capture output style, and `/basic-memory:bm-setup` · `:remember` · `:share` · `:status`. **Connect the Basic Memory MCP server first** — see [Connect your AI client](#connect-your-ai-client). The plugin's hooks and skills call it, so it's a hard prerequisite. Then add the marketplace and install: ```bash claude plugin marketplace add basicmachines-co/basic-memory \ --sparse .claude-plugin plugins/claude-code claude plugin install basic-memory@basicmachines-co ``` Source: [`plugins/claude-code`](plugins/claude-code). ### Shared skills Framework-agnostic `SKILL.md` files live in [`skills/`](skills). If your Skills CLI supports repository subdirectory sources: ```bash npx skills add basicmachines-co/basic-memory/skills ``` If your installed Skills CLI cannot load that source, update the CLI or copy the `memory-*` directories from `skills/` into your agent's skills directory. ### Hermes Hermes keeps its native plugin shape under [`integrations/hermes`](integrations/hermes): ```bash hermes plugins install basicmachines-co/basic-memory --path integrations/hermes ``` If your Hermes build lacks subpath installs, use the final deprecated `basicmachines-co/hermes-basic-memory` pointer release until host support lands. ### OpenClaw OpenClaw stays package-native and publishes from [`integrations/openclaw`](integrations/openclaw): ```bash openclaw plugins install @basicmemory/openclaw-basic-memory ``` ## Pick up where you left off https://github.com/user-attachments/assets/a55d8238-8dd0-454a-be4c-8860dbbd0ddc ## Connect your AI client If you went the [Cloud](#get-started) route, the web app walks you through client connect. The snippets below are for local installs. ### Claude Desktop Edit `~/Library/Application Support/Claude/claude_desktop_config.json`: ```json { "mcpServers": { "basic-memory": { "command": "uvx", "args": ["basic-memory", "mcp"] } } } ``` Restart Claude Desktop. Notes live in `~/basic-memory` by default.

Claude Code, Codex CLI, Cursor, VS Code, ChatGPT, Obsidian

### Claude Code ```bash claude mcp add basic-memory -- uvx basic-memory mcp ``` For the full memory bridge — session briefings, pre-compaction checkpoints, and the `/basic-memory:*` commands — also install the [Claude Code plugin](#claude-code-plugin) on top of this. ### Codex CLI Add to `~/.codex/config.toml`: ```toml [mcp_servers.basic-memory] command = "uvx" args = ["basic-memory", "mcp"] ``` ### Cursor Add to `.cursor/mcp.json` (project) or `~/.cursor/mcp.json` (global): ```json { "mcpServers": { "basic-memory": { "command": "uvx", "args": ["basic-memory", "mcp"] } } } ``` ### VS Code Add to your User Settings (JSON): ```json { "mcp": { "servers": { "basic-memory": { "command": "uvx", "args": ["basic-memory", "mcp"] } } } } ``` ### ChatGPT Basic Memory exposes OpenAI-compatible `search` and `fetch` tools for Custom GPT actions. See the [ChatGPT integration guide](https://docs.basicmemory.com/integrations/chatgpt/?utm_source=github&utm_medium=referral&utm_campaign=readme). ### Obsidian No setup. Point Obsidian at `~/basic-memory` (or your project folder) and the same wikilinks, frontmatter, and Markdown your AI writes appear in your graph view. Edit either side — sync handles the rest.

Try a prompt: ``` "Create a note about our project architecture decisions." "Find information about JWT auth in my notes." "What have I been working on this week?" ``` ## What's New - **Automatic updates.** Basic Memory keeps itself up to date for `uv tool` and Homebrew installs; `bm update` triggers a manual check. - **Semantic vector search.** Find notes by meaning, not just keywords. Hybrid full-text + vector ranking with FastEmbed embeddings, on SQLite or Postgres. - **Schema system.** Infer, validate, and diff the structure of your knowledge base with `schema_infer`, `schema_validate`, `schema_diff`. - **Per-project cloud routing.** Route individual projects through the cloud while others stay local, via API key (`bm project set-cloud`). - **Smarter editing.** `edit_note` append/prepend auto-creates notes when missing; `write_note` guards against accidental overwrites. - **Richer search results.** Matched chunk text is included so the LLM gets context, not just hits. - **FastMCP 3.0 + tool annotations.** Every tool ships with MCP behavior hints (`readOnlyHint`, `destructiveHint`, `idempotentHint`, `openWorldHint`) so agents can discover capabilities progressively at runtime instead of guessing or burning tokens. - **CLI overhaul.** `--json` output for scripting, workspace-aware commands, and an htop-inspired project dashboard. Full [CHANGELOG](CHANGELOG.md) for v0.18 → v0.20. ## Why Basic Memory Most LLM conversations are ephemeral. You ask a question, get an answer, then everything is forgotten. Workarounds have limits: - **Chat history** captures conversations but isn't structured knowledge. - **RAG** lets the LLM query your documents but not write back to them. - **Vector DBs** need complex infra and usually live in someone else's cloud. - **Knowledge graphs** need specialized tooling to maintain. Basic Memory takes a simpler path: **structured Markdown files that humans and LLMs both read and write.** - All knowledge stays in plain files you control. - Both sides read and write to the same files. - Familiar Markdown with semantic patterns — no new format to learn. - A traversable graph the LLM can follow link by link. - Works with the editors you already use (Obsidian, VS Code, anything). - Just files plus a local SQLite index. No servers required. ## How it works You're chatting normally about coffee: > I've been experimenting with brewing methods. Pour over gives more clarity > than French press, water at 205°F seems best, and freshly ground beans > make a huge difference. Ask the LLM to capture it: > "Make a note on coffee brewing methods." A Markdown file appears in your project directory in real time: ```markdown --- title: Coffee Brewing Methods permalink: coffee-brewing-methods tags: [coffee, brewing] --- # Coffee Brewing Methods ## Observations - [method] Pour over highlights subtle flavors over body - [technique] Water at 205°F (96°C) extracts optimal compounds - [principle] Freshly ground beans preserve aromatics ## Relations - relates_to [[Coffee Bean Origins]] - requires [[Proper Grinding Technique]] - affects [[Flavor Extraction]] ``` Next session, the LLM picks up the thread. It follows the relations to surface what you already know about Ethiopian beans and burr grinders, and builds on it instead of starting over. You see the same files in Obsidian or your editor. Edit them by hand — the AI sees your changes too. Real two-way flow: humans edit Markdown, LLMs read/write through MCP, sync keeps everything consistent, and the source of truth is always your files. ## The Markdown format Each file is an `Entity`. Entities have `Observations` (facts about them) and `Relations` (links to other entities). That's the whole grammar. ### Frontmatter ```markdown --- title: type: note permalink: tags: [optional, list] --- ``` ### Observations Facts about the entity. Categories in `[brackets]`, tags with `#`, optional context in parens. ```markdown - [method] Pour over highlights subtle flavors - [tip] Grind medium-fine for V60 #brewing - [fact] Lighter roasts contain more caffeine than dark - [resource] James Hoffmann's V60 technique on YouTube - [question] How does temperature affect compound extraction? ``` ### Relations Wiki-style links that form the graph. Single-token relation types, or quote multi-word ones. ```markdown - pairs_well_with [[Chocolate Desserts]] - grown_in [[Ethiopia]] - requires [[Burr Grinder]] - "pairs well with" [[Dark Chocolate]] ``` Bare `- [[Target]]` and prose `- Worth checking out [[Target]]` index as `links_to`. Full reference in the [docs](https://docs.basicmemory.com/getting-started/note-formatting/?utm_source=github&utm_medium=referral&utm_campaign=readme). ## MCP tools Basic Memory exposes these tools to any MCP client. Every tool is annotated with MCP behavior hints (read-only, destructive, idempotent, open-world) so agents can pick the right one without trial-and-error: - **Content:** `write_note`, `read_note`, `edit_note`, `move_note`, `delete_note`, `read_content`, `view_note` - **Search & discovery:** `search`, `search_notes`, `recent_activity`, `list_directory` - **Knowledge graph:** `build_context` (navigates `memory://` URLs), `canvas` (Obsidian canvas generation) - **Projects:** `list_memory_projects`, `create_memory_project`, `get_current_project`, `sync_status` - **Schema:** `schema_infer`, `schema_validate`, `schema_diff` - **Cloud:** `cloud_info`, `release_notes` All MCP tools default to text output; pass `output_format="json"` for structured responses. Full tool reference in the [docs](https://docs.basicmemory.com/?utm_source=github&utm_medium=referral&utm_campaign=readme). ## CLI essentials ```bash # Projects basic-memory project list basic-memory project add research ~/research basic-memory project set-cloud research # route through cloud basic-memory project set-local research # revert # Health & maintenance basic-memory status basic-memory doctor # file <-> DB consistency check basic-memory tool edit-note ... # CLI access to MCP tools basic-memory update # check for and install updates # Imports basic-memory import claude conversations basic-memory import chatgpt basic-memory import memory-json ``` Routing flags (`--local` / `--cloud`) force a target when you're in mixed mode. Full CLI reference in the [docs](https://docs.basicmemory.com/guides/cli-reference/?utm_source=github&utm_medium=referral&utm_campaign=readme). ## Auto-updates CLI installs check for updates every 24 hours by default and apply them silently (so the MCP server keeps responding). - Supported install sources: `uv tool`, Homebrew - Skipped for `uvx` (ephemeral runtime managed by uv) - Manual: `bm update` (check + apply) or `bm update --check` (check only) Disable in `~/.basic-memory/config.json`: ```json { "auto_update": false } ``` ## Telemetry Minimal, anonymous events to understand the CLI-to-cloud conversion funnel. **What we collect:** cloud promo impressions, cloud login attempts and outcomes, promo opt-out events. **What we don't:** file contents, note titles, knowledge base data, PII, IP addresses, per-command or per-tool tracking. Events go to our [Umami Cloud](https://umami.is) instance (open-source, privacy-focused) on a background thread — never blocks the CLI. Opt out: ```bash export BASIC_MEMORY_NO_PROMOS=1 ``` This disables promos and all telemetry. ## Logging Basic Memory uses [Loguru](https://github.com/Delgan/loguru). Defaults vary by entry point: | Entry point | Default | Why | |---|---|---| | CLI commands | File only | Doesn't interfere with command output | | MCP server | File only | Stdout would corrupt JSON-RPC | | API server | File (local) or stdout (cloud) | Docker/cloud uses stdout | Log file: `~/.basic-memory/basic-memory.log` (10MB rotation, 10 days retention). ### Environment variables | Variable | Default | Description | |---|---|---| | `BASIC_MEMORY_LOG_LEVEL` | `INFO` | DEBUG / INFO / WARNING / ERROR | | `BASIC_MEMORY_CLOUD_MODE` | `false` | API logs to stdout with structured context | | `BASIC_MEMORY_FORCE_LOCAL` | `false` | Force local API routing | | `BASIC_MEMORY_FORCE_CLOUD` | `false` | Force cloud API routing | | `BASIC_MEMORY_EXPLICIT_ROUTING` | `false` | Mark route selection as explicit | | `BASIC_MEMORY_ENV` | `dev` | Set to `test` for test mode (stderr only) | | `BASIC_MEMORY_NO_PROMOS` | `false` | Disable cloud promos and telemetry | | `BASIC_MEMORY_IMPORT_UPLOAD_MAX_BYTES` | `104857600` | Max uploaded import size | ```bash BASIC_MEMORY_LOG_LEVEL=DEBUG basic-memory reindex tail -f ~/.basic-memory/basic-memory.log ``` ## Development Basic Memory supports SQLite (default, fast, no Docker) and Postgres (via testcontainers — Docker required). ```bash just install # Install with dev dependencies just test-sqlite # All tests, SQLite just test-postgres # All tests, Postgres (testcontainers) just test # Both backends just fast-check # fix/format/typecheck + impacted tests just doctor # File <-> DB consistency check (temp config) just package-check # Claude Code, skills, Hermes, OpenClaw package checks just lint just typecheck # Pyright (primary) just typecheck-ty # ty (supplemental) just format just check # All quality checks just migration "msg" # New Alembic migration ``` Tests use pytest markers: `windows`, `benchmark`, `smoke`. See [justfile](justfile) for the full list. Contributions welcome — see [CONTRIBUTING.md](CONTRIBUTING.md). ## License [AGPL-3.0](LICENSE). ## Star History Built with ♥️ by [Basic Machines](https://basicmachines.co?utm_source=github&utm_medium=referral&utm_campaign=readme)