ClawMem

by yoloshii · TypeScript · ★ 140

On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.

#ai-agent-memory#ai-agents#bun#claude-code#embeddings#hybrid-search#llama-cpp#local-first#mcp-server#mcp-tools#memory#model-context-protocol#on-device-ai#openclaw#plugin#rag#retrieval-augmented-generation#sqlite#typescript#vector-search

Install

npx -y github:yoloshii/ClawMem

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "clawmem": {
      "command": "npx",
      "args": [
        "-y",
        "github:yoloshii/ClawMem"
      ]
    }
  }
}

From the README

**On-device memory for Claude Code, OpenClaw, Hermes, and AI agents.** Retrieval-augmented search, hooks, and an MCP server in a single local system. No API keys, no cloud dependencies. ClawMem fuses recent research into a retrieval-augmented memory layer that agents actually use. The hybrid architecture combines [QMD](https://github.com/tobi/qmd)-derived multi-signal retrieval (BM25 + vector search + reciprocal rank fusion + query expansion + cross-encoder reranking), [SAME](https://github.com/sgx-labs/statelessagent)-inspired composite scoring (recency decay, confidence, content-type half-l…

Read full README on GitHub →