Basic Memory MCP server

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 →

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.

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Basic Memory

Your AI never forgets again.

Pick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or anything that speaks MCP. 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, with optional cross-encoder reranking for higher-quality vector and hybrid results.
• 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.

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 →

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

uv tool install basic-memory --prerelease=allow

--prerelease=allow is required: Basic Memory 0.23 depends on a FastMCP 4 pre-release, and uv only accepts pre-releases of transitive dependencies when told to — without the flag it silently installs an older release. The same flag goes on every uvx / uv tool upgrade command below.

For Postgres deployments that store semantic vectors in Milvus, install the first-party optional extra instead:

uv tool install "basic-memory[milvus]" --prerelease=allow

Configure your 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.

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 →

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	stdio/https	macOS / Windows / Linux
Claude Code	stdio/https	claude mcp add
Codex	stdio/https	OpenAI's coding agent
Cursor	stdio/https	.cursor/mcp.json
VS Code	stdio/https	Native MCP support
ChatGPT	https	Custom GPT actions (search / fetch)
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:

just package-check

Package-local justfiles are also available when working inside one host:

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. The plugin's hooks and skills call it, so it's a hard prerequisite. Then install the plugin:

bm install claude-code

That registers the marketplace and installs the plugin through Claude Code. Add --scope project to declare both in the repository's settings for a team, or --dry-run to see the underlying claude plugin commands without running them.

Source: plugins/claude-code.

Shared skills

Framework-agnostic SKILL.md files live in skills/. If your Skills CLI supports repository subdirectory sources:

npx skills add basicmachines-co/basic-memory/skills -g

For Claude and ChatGPT, upload basic-memory.zip or basic-memory-chatgpt.zip from the skills-latest release; see skills/README.md.

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:

hermes plugins install basicmachines-co/basic-memory/integrations/hermes

Hermes does not install a plugin's Python dependencies, so also add the mcp package to the Hermes venv — see the plugin README for that step and the supported Hermes releases.

OpenClaw

OpenClaw stays package-native and publishes from integrations/openclaw:

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 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:

{
  "mcpServers": {
    "basic-memory": {
      "command": "uvx",
      "args": ["--prerelease=allow", "basic-memory", "mcp"]
    }
  }
}

Restart Claude Desktop. Notes live in ~/basic-memory by default.

Claude Code

claude mcp add basic-memory -- uvx --prerelease=allow basic-memory mcp

For the full memory bridge — session briefings, pre-compaction checkpoints, and the /basic-memory:* commands — also install the Claude Code plugin on top of this.

Codex CLI

Add to ~/.codex/config.toml:

[mcp_servers.basic-memory]
command = "uvx"
args = ["--prerelease=allow", "basic-memory", "mcp"]

Codex can keep its default MCP approval behavior, or you can pre-approve eligible Basic Memory tools by adding this server-scoped setting to the same table:

[mcp_servers.basic-memory]
command = "uvx"
args = ["--prerelease=allow", "basic-memory", "mcp"]
default_tools_approval_mode = "approve"

This does not disable Codex approvals globally or expand which Basic Memory projects the server can access. Codex still requires approval for tools that advertise a destructive annotation, including Basic Memory's writes, edits, and deletes. If you installed the Basic Memory Codex plugin, use its plugin-scoped configuration instead.

Cursor

Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "basic-memory": {
      "command": "uvx",
      "args": ["--prerelease=allow", "basic-memory", "mcp"]
    }
  }
}

VS Code

Add to your User Settings (JSON):

{
  "mcp": {
    "servers": {
      "basic-memory": {
        "command": "uvx",
        "args": ["--prerelease=allow", "basic-memory", "mcp"]
      }
    }
  }
}

ChatGPT

Basic Memory exposes OpenAI-compatible search and fetch tools for Custom GPT actions. See the ChatGPT integration guide.

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.
• Optional search reranking. Rescore the strongest vector and hybrid candidates with a local FastEmbed cross-encoder or a LiteLLM-backed provider.
• Schema system. Infer, validate, and diff the structure of your knowledge base with bm_schema_infer(), bm_schema_validate(), and bm_schema_diff().
• Per-project cloud routing. Route individual projects through the cloud while others stay local, via API key (bm project set-cloud).
• Explicit note changes. bm_edit updates existing notes; bm_write creates notes and 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 for v0.18 → v0.20.

Optional cross-encoder reranking

Reranking adds a second relevance pass after vector or hybrid retrieval. It is disabled by default because it adds inference latency and, for the local provider, a first-run model download. Text, title, and permalink searches keep their existing ranking.

Enable the default local FastEmbed reranker:

export BASIC_MEMORY_RERANKER_ENABLED=true

The default model is jinaai/jina-reranker-v1-tiny-en. To use a hosted reranker through LiteLLM instead, first install the optional LiteLLM SDK, then configure it:

export BASIC_MEMORY_RERANKER_ENABLED=true
export BASIC_MEMORY_RERANKER_PROVIDER=litellm
export BASIC_MEMORY_RERANKER_MODEL=cohere/rerank-v3.5
export COHERE_API_KEY=...

The feature fails fast on invalid configuration and does not silently fall back to retrieval order when an enabled provider fails. See the semantic search guide for provider setup, all settings, tuning, pagination, and failure behavior.

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:

---
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

---
title: <Entity title>
type: note
permalink: <uri-slug>
tags: [optional, list]
---

Observations

Facts about the entity. Categories in [brackets], tags with #, optional context in parens.

- [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.

- 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.

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: bm_write, bm_read, bm_edit, bm_move, bm_delete
• Search & discovery: bm_search, bm_list, bm_find
• Knowledge graph: bm_context
• Projects: bm_project_list, bm_project_create, bm_recent; bm_project_delete is separate and requires server opt-in.
• Schema: bm_schema_validate, bm_schema_infer, bm_schema_diff
• Manual: bm_man
• Cloud connector adapters: search and fetch are registered by Cloud only. Local diagnostics use bm doctor.

Most tools default to text; bm_context defaults to JSON. Pass output_format="json" for structured responses. Project-scoped tools accept a name, workspace/project, or external UUID through project. Use bm_man(page="bm-search(3)") for the installed contract, or see the tool guide. CLI commands retain their shell names.

CLI essentials

# 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

# Config
basic-memory config list                        # all settings, effective values, env overrides
basic-memory config set cli_output_style plain  # validated through the config model
basic-memory config unset cli_output_style      # revert to default

# Health & maintenance
basic-memory status
basic-memory doctor              # report project problems and the commands that fix them
basic-memory tool edit ...  # 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.

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:

{ "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 instance (open-source, privacy-focused) on a background thread — never blocks the CLI.

Opt out:

export BASIC_MEMORY_NO_PROMOS=1

This disables promos and all telemetry.

Logging

Basic Memory uses 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

BASIC_MEMORY_LOG_LEVEL=DEBUG basic-memory reindex
tail -f ~/.basic-memory/basic-memory.log