Linggen

https://linggen.dev

Linggen

Linggen is a local-first RAG + MCP memory layer for AI coding assistants.

It runs entirely on your machine, is free for individuals and teams, and is built for:

• Working across many projects with one shared memory layer

• Navigating huge codebases and documentation sets

• Connecting multiple IDEs/agents via MCP (Cursor, Zed, Windsurf, etc.)

Nothing leaves your machine by default: embeddings, indexes, and search all run locally.

What You Can Do

• Index your world: local folders, codebases, docs, and notes

• Semantic search + AI chat over everything you've indexed

• Expose an MCP server at http://localhost:8787/mcp/sse for compatible tools

• Run it for a team on a shared machine and point everyone's MCP config at it

See the full product docs at linggen.dev.

Install (App)

• Download the latest macOS build from GitHub Releases:

  https://github.com/linggen/linggen-releases/releases

• Open the .dmg and drag Linggen into Applications.

• On first launch, it downloads an embedding model (~100MB) and starts a local backend at http://localhost:8787.

Currently macOS only. Windows & Linux are planned.

MCP Setup (Cursor)

Linggen starts an MCP server at http://localhost:8787/mcp/sse.

Add this to ~/.cursor/mcp.json to connect Cursor:

{
  "mcpServers": {
    "linggen": {
      "url": "http://localhost:8787/mcp/sse"
    }
  }
}

Restart Cursor and you should see linggen as a connected MCP server.

This Repo

This repo is the Linggen landing page and docs site, built with React and Vite, deployed to Cloudflare Pages.

npm install

npm run dev