ClawMem drops hybrid RAG layer for Claude Code

ClawMem solves the "amnesia" problem for terminal-based agents by moving memory from fragile Markdown files to a robust, local SQLite vault. It’s a sophisticated step toward truly autonomous long-running agents.

• –Hybrid RAG combines BM25, vector search, and graph traversal for surgical context retrieval without prompt bloating
• –Shared memory architecture allows a decision made in Claude Code to be instantly available to an OpenClaw agent
• –Local-first design ensures privacy and zero-latency retrieval using on-device embedding and reranking models
• –Automated "handoff" generation at session end creates a bridge for the next agent to resume work immediately
• –Integrated as an MCP server, making it compatible with the broader ecosystem of AI coding tools