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Knowledge & MemoryGo

tomohiro-owada/devrag

Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns.

knowledge-memorylocal-servicemacoswindowslinux
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Quick Start

Clone the repository:

git clone https://github.com/tomohiro-owada/devrag

Claude Desktop configuration example:

{
  "mcpServers": {
    "devrag": {
      "command": "npx",
      "args": [
        "-y",
        "tomohiro-owada/devrag"
      ]
    }
  }
}

Check the repository README for specific installation and configuration instructions.

Details

Category
Knowledge & Memory
Language
Go
Author
tomohiro-owada