Mnemos: an MCP server for persistent Claude Code memory

Claude Code forgets everything between sessions, forcing you to re-explain conventions, corrections, and context every time. Mnemos (GitHub) is an MCP server that fixes that by storing and replaying persistent memory across sessions.
How it works
- On session start, it pushes a ranked context block (conventions, corrections, skills, hot files, recent session summaries) into Claude's prompt.
- Records corrections as
tried / wrong_because / fix. Three corrections on the same topic auto-promote into a reusable skill withWhen this applies / Avoid / Dosections — deterministic pattern mining, no LLM in the loop. - Bi-temporal store: facts carry valid/invalid timestamps, so "we used to use X, now Y" works without stale context.
- Compaction recovery: one tool call restores the goal and key decisions after Claude Code compacts mid-session.
- Prompt-injection scanner at write boundary (instruction overrides, zero-width unicode, MCP spoofing).
- Retrospective replay: regenerate any past session as markdown with everything learned since layered in, paste it back to Claude, ask "what would I do differently now."
Stack & install
- Single static Go binary, 15 MB. No Python, no Docker, no vector DB, no CGO.
- SQLite + FTS5 retrieval, optional cosine similarity if Ollama is running.
- Install (MIT, free, no paid tier):
curl -fsSL https://raw.githubusercontent.com/polyxmedia/mnemos/main/scripts/install.sh | bash
mnemos init
mnemos initauto-wires Claude Code, Claude Desktop, Cursor, Windsurf, and Codex CLI. Restart your agent andmnemos_*tools show up.
Who it's for
Developers using Claude Code who are tired of re-teaching conventions every session and want reproducible, token-free memory.
📖 Read the full source: r/ClaudeAI
👀 See Also

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