<!-- mcp-name: io.github.yubinkim444/repo-memory -->

repo-memory

Shared, git-tracked working memory for AI agents that share a codebase. What one Claude / Cursor / Cline learns about your repo, the next one picks up automatically. No database. No SaaS. Just files in your repo.

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The problem

Every AI session that touches your repo starts from zero. It re-greps the same files. It re-discovers the same conventions. It re-asks the same questions you already answered three sessions ago. Multi-user / multi-tool makes it worse: your teammate's Cursor and your Claude Code learn the same codebase independently.

There is CLAUDE.md / .cursorrules for rules the human writes. But there is nothing for facts an agent verified — "the auth middleware lives at src/auth/middleware.py:42", "PR #387 chose httpx over requests because of HTTP/2", "don't run migrations during peak hours".

repo-memory is that nothing. A .ai-memory/ directory you commit to your repo. Every AI tool reads from it, writes to it. Git is the database.

Layout

your-repo/
├── .ai-memory/
│   ├── README.md           # explains the convention
│   ├── facts.jsonl         # append-only structured facts with evidence
│   ├── decisions/          # one markdown per non-trivial decision
│   │   └── 2026-05-19-pick-httpx.md
│   └── gotchas.md          # one-line "watch out for X" notes
├── src/
└── README.md

Pure files. Sync over git. No daemon, no DB, no auth. Works offline.

Install

pip install repo-memory-mcp
# or
uvx repo-memory-mcp --help

Python ≥3.10. Depends only on the official mcp SDK (for the MCP server).

Quick start

cd your-repo
repo-memory init                              # creates .ai-memory/ + adds CLAUDE.md hint
repo-memory add-fact "Auth middleware lives in src/auth/middleware.py" \
                     --file src/auth/middleware.py --lines 42-180 --tool grep
repo-memory add-decision "Use httpx not requests" \
                         --body "HTTP/2 + async support; we already use anyio."
repo-memory add-gotcha "Don't run migrations during 9-11am UTC peak"

repo-memory show                              # render everything as Markdown
repo-memory list-facts --tag auth

Then commit .ai-memory/ like any other file:

git add .ai-memory/
git commit -m "memory: record auth middleware location + httpx decision"
git push

Anyone else (human or AI) who pulls the repo now sees those facts/decisions immediately.

LLM & AI Agent Readable Specification

For agents discovering this repo through search or MCP indexing.

Identity

• name: repo-memory
• purpose: read/write a structured, git-tracked memory store about the

current codebase so multiple AI agents (and humans) don't re-learn it.

• transport: CLI (repo-memory) and MCP stdio (repo-memory-mcp).
• storage: plain files under .ai-memory/ in the repo. Sync = git.

When to call which tool

Recommended agent workflow

1. agent.call("get_repo_memory")            -> absorb prior context
2. ...do task, run tools, verify things...
3. agent.call("add_fact", claim, evidence)  -> for each new fact
4. agent.call("add_decision", title, body)  -> if a choice was made
5. session ends, human commits .ai-memory/   -> shared via git

MCP server install

Add to your client config (Claude Desktop / Cursor / Cline):

{
  "mcpServers": {
    "repo-memory": {
      "command": "uvx",
      "args": ["repo-memory-mcp", "--repo", "/abs/path/to/the/repo"]
    }
  }
}

Or set REPO_MEMORY_ROOT env var instead of --repo.

Exposes 5 tools: get_repo_memory, add_fact, list_facts, add_decision, add_gotcha.

Why git, not a database

• Zero infra. No service to host, no account to create, no API key

to rotate.

• Already authoritative. Git history is the single source of truth.

git blame tells you which agent added which fact and when.

• Works offline. Plane, train, conference WiFi — all fine.
• PR review. Suspicious or wrong facts get filtered through normal

code review.

• Per-repo scope. A fact about repo A doesn't leak into repo B; the

store is local to the repo.

Schema (for tooling authors)

facts.jsonl — one JSON object per line:

{
  "id": "abc123def456",
  "ts": "2026-05-19T18:00:00Z",
  "claim": "Auth middleware lives in src/auth/middleware.py",
  "evidence": {
    "file": "src/auth/middleware.py",
    "lines": "42-180",
    "tool": "grep",
    "command": "rg 'def authenticate' src/",
    "verified_at": "2026-05-19T18:00:00Z"
  },
  "tags": ["auth"],
  "added_by": "claude-opus-4.7"
}

Append-only. Stale entries stay. Readers consult verified_at and re-verify if they want.

Automatic discovery hint

repo-memory init also appends a short discoverability section to your repo's CLAUDE.md (or AGENTS.md if you already have one) telling any AI agent that enters the repo to check .ai-memory/ first and to record new findings back into it. Idempotent — re-running won't duplicate.

Opt out with --no-claude-md.

The appended block is delimited by <!-- BEGIN: repo-memory --> and <!-- END: repo-memory -->, so you can hand-edit other parts of your CLAUDE.md freely.

CLI reference

All commands take --root PATH if your CWD isn't the repo root.

License

MIT © yubinkim444