claude-mem: Persistent Cross-Session Memory for AI Agents

Repositorythedotmack/claude-memTool

The open-source project claude-mem (now also branded as Grok Mem) captures agent activity during active sessions, compresses it with AI, and injects relevant context back into future runs.

Key points

  1. Addresses context loss between separate sessions across coding and conversational AI agents.
  2. Logs session activity, compresses data via AI, and retrieves relevant memory for upcoming tasks.
  3. Employs JavaScript alongside SQLite and ChromaDB for vector storage and retrieval-augmented context injection.
  4. Works across diverse agent platforms including Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, and OpenCode.
  5. Designed to sit alongside existing agent memory mechanisms rather than fully replacing them.

Why it matters

Context resets between agent sessions force developers to repeatedly explain project structure and previous decisions. Persistent external memory makes multi-session coding workflows far more cohesive and lowers operational overhead.

Analysis

With over 93,000 stars, more than 8,000 forks, and documentation translated into dozens of languages, the project exhibits significant traction and community maturity. Broad compatibility across leading agent frameworks makes it a widely adopted utility for long-running agent workflows.

Mentioned links

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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