agent-memory

Local, git-native project memory for AI coding agents. One MCP call in, structured memory updates out — current task state, decisions, conventions, pitfalls, per-module facts. Branch-aware. Secret-safe. Byte-preserving. No cloud, no vector DB — Markdown is the source of truth and git is the sync. Three MCP tools + a full CLI.

Why it's different: memory is plain Markdown committed to your repo, so you can read and git diff it; durable changes stage for human review (review --diff → apply) instead of landing silently; and secrets/PII are scanned out before anything is written. See ROADMAP.md for where this is headed (system-level / multi-repo memory).

Demo

An agent records a durable decision; it stages for review; you see the exact diff, apply it, and a later **fetch** surfaces it — local, git-native, reviewable, secret-safe. The clip is reproducible: docs/demo/demo.sh is the runnable flow and docs/demo/demo.tape renders the gif with vhs — see docs/demo/.

How it compares

These are general characterizations and the tools evolve fast — see something inaccurate? Open an issue and I'll fix the row. agent-memory is complementary to instruction files like AGENTS.md/CLAUDE.md (it even installs one): those say how to behave; agent-memory is the durable, searchable, reviewed knowledge behind it.