clawmem

On-device context engine and memory for AI agents. Claude Code and OpenClaw. Hooks + MCP server + hybrid RAG search.

Install Command

npx -y clawmem

Claude Desktop Config

{
  "mcpServers": {
    "clawmem": {
      "command": "npx",
      "args": [
        "-y",
        "clawmem"
      ]
    }
  }
}

clawmem is a community MCP server that connects AI assistants like Claude to on-device context engine and memory for ai agents. claude code and openclaw. hooks + mcp server + hybrid rag search. It runs locally on your machine, keeping your data private and giving you full control over the connection. This makes it easy to query and manage your data without leaving your AI assistant.

About clawmem

Overview

On-device context engine and memory for AI agents. Claude Code and OpenClaw. Hooks + MCP server + hybrid RAG search.

Topics

mcp-server, model-context-protocol, claude-code, ai-agent-memory, retrieval-augmented-generation, rag, vector-search, sqlite, bun, llama-cpp, local-first, context-engine, openclaw, mcp-tools, hybrid-search

Who Should Use clawmem?

1Search and retrieve information using natural language
2Run natural-language queries against your database without writing SQL
3Inspect schemas, tables, and relationships during development
4Automate data exports, migrations, and reporting tasks

How to Install clawmem

Before you start

You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.

1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
2Paste the install command above and press Enter — Node.js will download and run the server automatically.
3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.

The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.