TT-Wang/memem
33 stars · Last commit 2026-05-17
A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in your Obsidian vault, searches them with SQLite FTS5, and mines past transcripts automatically.
README preview
# memem **Persistent, self-evolving memory for Claude Code.** Stop re-explaining your project every session. **Why it matters.** Today every Claude Code session starts cold. Decisions, conventions, debug context — all lost between sessions. As agents move from single-turn to long-horizon work (cross-file refactors, multi-day flows, CI-integrated delivery), this stops being friction and becomes a ceiling. memem treats memory as **substrate, not retrieval** — a local-first ledger that survives sessions, models, and tools. **Core design.** - **Local-first:** memories live as markdown in your Obsidian vault. No cloud, no API keys, no lock-in. - **Auto-mined:** a background daemon extracts durable lessons (decisions, conventions, bug fixes, preferences) from completed sessions and writes them to disk ~30 min after a session closes. - **Layered recall (L0–L3):** project identity always loaded, common conventions surfaced eagerly, rare archives gated behind explicit search — keeps context useful without blowing it up. - **SQLite FTS5 + 5-signal rerank:** keyword recall first; semantic, recency, access count, importance fold in as rerankers. Vector is a fallback, not the default. → **In production:** 2,855 active memories across 87 project scopes, ~8,000 daily mining tasks. <!-- The Glama badge URL below intentionally uses the legacy `cortex-plugin` slug. Glama listing slugs are fixed-once-created and the project was renamed cortex → memem in v0.7.0. The badge keeps rendering A-tier under the old slug via GitHub's repo-rename redirect. Re-listing under the new slug requires manual coordination via https://glama.ai/discord.