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Another Brain

Long-term memory your AI coding agents actually share. One brain, many agents: what Claude Code learns on Monday, Codex can recall on Friday.

It runs as a single installed executable — no server to start, no container, no database to administer, and nothing leaves your machine. Memories live in one SQLite file in your user directory; embeddings are computed locally on CPU.

Install

Another Brain is a standard Python package — the only prerequisite is Python 3.12+ (no daemon, no root, no container runtime). Install the published package into a venv with pip:

python -m venv .venv
.venv/bin/python -m pip install another-brain   # Windows: .venv\Scripts\python
.venv/bin/another-brain setup                   # Windows: .venv\Scripts\another-brain

Or install a checkout of this repo from its root:

python -m venv .venv
.venv/bin/python -m pip install .

The console script another-brain lands in the venv's bin directory (Scripts on Windows); activating the venv puts it on PATH.

Restart the harness and your agent has memory. setup is a one-shot bundle of model pull + connect: it downloads the hash-verified embedding model (~206 MB) once, then writes the MCP server entry into each detected harness's own config and installs a skill that teaches the agent when to use it — no JSON to edit by hand, on any OS. Both steps are idempotent, so re-running setup is safe; the individual commands stay available below.

uv is an optional convenience: uv tool install another-brain does the same install and puts another-brain on PATH in one command. The uv.lock file is a maintainer/development artifact — pip installs never read it, and uv is never needed at runtime.

Run another-brain connect with no arguments to see which harnesses are known and which are installed here. Supported today: claude-code, codex, cursor, gemini-cli, pi.

For pi the connector writes the standard {"command": "another-brain"} entry into ~/.config/mcp/mcp.json, like every other harness. With the tools renamed to bare verbs, each harness adds its own prefix on top of the wire names: pi's adapter exposes another_brain_health, Claude Code shows mcp__another-brain__health, and the MCP wire names themselves never change.

What your agent can do

Eight tools appear in the agent's toolbox (your harness may prefix them):

Tool What it does
remember store one thing worth recalling later — a decision, a bug and its fix, a preference
search find memories by meaning and keywords at once
recent list the newest entries, or walk one day or one topic
get fetch one memory in full
reinforce a memory proved useful — keep it longer
forget a memory proved wrong — drop it
health is the brain reachable and which one is bound
audit what changed, when, and by which agent — never the memory text

Memory here is a diary that forgets on purpose. Each entry gets a lifespan from its importance — 1 to 5 maps to 7, 30, 90, 180, or 365 days — and expires unless an agent reinforces it after actually using it. Nothing accumulates forever, and a memory that turns out to be wrong can be forgotten. Forgetting is soft for 30 days, so a mistake is recoverable.

Search combines two independent signals: semantic similarity (so "how do we handle expired tokens" finds a note about refresh logic) and full-text keyword match (so an exact error string or file path is findable verbatim).

0.13.0 — 2026-08-13

Changed Tool names shortened to bare verbs — remember, search, recent, get, reinforce, forget, health, audit (was brain_*); your harness still prefixes them, so Claude Code shows mcp__another-brain__remember and pi shows another_brain_remember. Hard rename, no aliases. pip is a first-class install path — python -m pip install another-brain; uv stays an optional dev convenience.

Commands

Command Purpose
another-brain the MCP server itself (your harness runs this; you normally don't)
another-brain setup one-shot onboarding: pull the model + connect detected harnesses
another-brain connect [harness…] register the server + install the skill
another-brain model pull / model status download or check the embedding model
another-brain recent [--limit N] print the newest entries from the terminal
another-brain doctor full health report; exits nonzero if something is wrong
another-brain admin restore|hard-delete ID undo a forget inside its grace window, or purge
another-brain import-jsonl PATH import a JSONL v1 export
another-brain serve --http optional loopback HTTP on 127.0.0.1:1905 instead of stdio

recent, admin, connect, and doctor all work without the model installed.

Your data

Memories live in brain.sqlite3 in your per-user data directory, and the model in your per-user cache directory — another-brain doctor prints both exact paths. Nothing is uploaded; after model pull the tool never needs the network again.

Variable Effect
BRAIN_DATA_DIR where brain.sqlite3 lives
BRAIN_MODEL_CACHE_DIR where the model lives
BRAIN_ID which brain this process is bound to (default default)
TIMELINE_TIMEZONE IANA zone deciding the diary day (default UTC)

Each agent process loads its own copy of the embedding model, about 322 MiB of RAM once it has embedded something — worth knowing if you run several harnesses at once.

Platform support

Gated in CI on Linux x86_64, macOS 14+ Apple Silicon, and Windows x86_64, with Python 3.12–3.14. Linux ARM64 and Windows ARM64 work but have no CI hardware. macOS Intel, macOS 13 and older, and Alpine/musl are not supported — the install fails clearly rather than silently building from source. another-brain doctor reports the tier for your machine. Full matrix in CHANGELOG.md.

More

MIT licensed.

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