RA-OS

A lightweight local knowledge graph UI with MCP server. Connect your AI coding agents to a personal knowledge base. BYO API keys, no cloud dependencies.

What is RA-OS?

RA-OS is a stripped-down version of RA-H focused on being a knowledge management backend for AI agents. It provides:

• 2-panel UI – Nodes list + focus panel for viewing/editing knowledge
• SQLite + sqlite-vec – Local vector database with semantic search
• MCP Server – Connect Claude Code, Cursor, or any MCP-compatible AI assistant
• Workflows – Editable JSON workflows for multi-step operations

What's removed: Built-in chat agents, voice features, delegation system. RA-OS is designed for technical users who want to bring their own AI agents via MCP.

Platform Support

Platform	Status
macOS (Apple Silicon)	Supported
macOS (Intel)	Supported
Linux	Requires manual sqlite-vec build
Windows	Requires manual sqlite-vec build

Quick Start

git clone https://github.com/bradwmorris/ra-h_os.git
cd ra-h_os
npm install
npm rebuild better-sqlite3
scripts/dev/bootstrap-local.sh
npm run dev

Open http://localhost:3000 → Settings → API Keys → add your OpenAI key (for embeddings).

Connecting AI Agents via MCP

RA-OS exposes an MCP server that external AI assistants can use to read/write your knowledge graph.

Claude Code Integration

Add to your Claude Code settings:

{
  "mcpServers": {
    "rah": {
      "command": "node",
      "args": ["/path/to/ra-h_os/apps/mcp-server/stdio-server.js"]
    }
  }
}

Available MCP Tools

Tool	Description
rah_add_node	Create a new knowledge node
rah_search_nodes	Search nodes by text
rah_update_node	Update an existing node
rah_get_nodes	Get nodes by ID
rah_create_edge	Connect two nodes
rah_query_edges	Find connections
rah_update_edge	Update a connection
rah_create_dimension	Create a tag/category
rah_update_dimension	Update a dimension
rah_delete_dimension	Delete a dimension
rah_search_embeddings	Semantic vector search

HTTP MCP Server

For non-stdio clients, start the HTTP server:

node apps/mcp-server/server.js

Listens on http://127.0.0.1:44145/mcp by default.

Project Layout

app/                 Next.js App Router
src/
  components/        UI components
  services/          Database, embeddings, workflows
  tools/             Available tools for workflows
apps/mcp-server/     MCP server (stdio + HTTP)
docs/                Local documentation
scripts/             Dev helpers
vendor/              Pre-built binaries (sqlite-vec)

Commands

Command	Description
npm run dev	Dev server at localhost:3000
npm run build	Production build
npm run type-check	TypeScript validation
npm run sqlite:backup	Database snapshot
npm run sqlite:restore	Restore from backup

Documentation

• docs/0_overview.md – System overview
• docs/2_schema.md – Database schema
• docs/8_mcp.md – MCP server details

Linux/Windows Setup

The bundled sqlite-vec binary is macOS-only. For other platforms:

1. Clone https://github.com/asg017/sqlite-vec
2. Build for your platform
3. Place at vendor/sqlite-extensions/vec0.so (Linux) or vec0.dll (Windows)
4. Set SQLITE_VEC_EXTENSION_PATH in .env.local

Without sqlite-vec: UI, node CRUD, and basic search still work. Vector/semantic search requires it.

Contributing

See CONTRIBUTING.md. Issues and PRs welcome.

License

MIT