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.

---

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.
• 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 →**

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/)

uv tool install basic-memory

**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

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

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](#connect-your-ai-client). The plugin's hooks and skills call it, so it's a

hard prerequisite. Then add the marketplace and install:

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:

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):

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):

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": ["basic-memory", "mcp"]
    }
  }
}

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

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

Claude Code

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:

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

Cursor

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

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

VS Code

Add to your User Settings (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 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:

---
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: 
type: note
permalink: 
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: 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.

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

# 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.

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:

Log file: ~/.basic-memory/basic-memory.log (10MB rotation, 10 days

retention).

Environment variables

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).

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 for the full list.

Contributions welcome — see CONTRIBUTING.md.

License

AGPL-3.0.

Star History

Built with ♥️ by Basic Machines