██████╗  █████╗       ██╗  ██╗
 ██╔══██╗██╔══██╗      ██║  ██║
 ██████╔╝███████║█████╗███████║
 ██╔══██╗██╔══██║╚════╝██╔══██║
 ██║  ██║██║  ██║      ██║  ██║
 ╚═╝  ╚═╝╚═╝  ╚═╝      ╚═╝  ╚═╝
_

Own your context

TL;DR: Clone this repository and you'll have a local SQLite database on your computer. The database schema is structured so external AI agents can continuously read and write to it, building your knowledge graph externally.

Clone Repository

What This Does

1.

Stores knowledge locally — Notes, bookmarks, ideas, research in a SQLite database on your machine

2.

Provides a UI — Browse, search, and organize your nodes at localhost:3000

3.

Exposes an MCP server — Claude Code, Cursor, or any MCP client can query and add to your knowledge base

Your data stays on your machine. Nothing is sent anywhere unless you configure an API key.

Install

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 localhost:3000. Done.

Requirements

  • Node.js 20.18.1+nodejs.org
  • macOS — Works out of the box
  • Linux/Windows — Requires building sqlite-vec manually (see below)

OpenAI API Key

Optional but recommended. Without a key, you can still create and organize nodes manually.

With a key, you get:

  • Auto-generated descriptions when you add nodes
  • Automatic dimension/tag assignment
  • Semantic search (find similar content, not just keyword matches)

Cost: Less than $0.10/day for heavy use. Most users spend $1-2/month.

Setup: The app will prompt you on first launch, or go to Settings → API Keys.

Get a key at platform.openai.com/api-keys

Where Your Data Lives

~/Library/Application Support/RA-H/db/rah.sqlite   # macOS
~/.local/share/RA-H/db/rah.sqlite                  # Linux
%APPDATA%/RA-H/db/rah.sqlite                       # Windows

This is a standard SQLite file. You can:

  • Back it up by copying the file
  • Query it directly with sqlite3 or any SQLite tool
  • Move it between machines

Connect Claude Code (or other MCP clients)

Add to your ~/.claude.json:

{
  "mcpServers": {
    "ra-h": {
      "command": "npx",
      "args": ["ra-h-mcp-server"]
    }
  }
}

Restart Claude Code fully (Cmd+Q on Mac, not just closing the window).

Verify it worked: Ask Claude "Do you have rah_ tools available?" — you should see tools like rah_add_node, rah_search_nodes, etc.

Available Tools

ToolWhat it does
rah_get_contextGet graph overview — stats, hub nodes, dimensions, recent activity
rah_search_nodesFind nodes by keyword
rah_add_nodeCreate a new node
rah_get_nodesFetch nodes by ID
rah_update_nodeEdit an existing node
rah_create_edgeLink two nodes together
rah_update_edgeUpdate an edge explanation
rah_query_edgesFind connections
rah_list_dimensionsList all tags/categories
rah_create_dimensionCreate a new dimension
rah_update_dimensionUpdate/rename a dimension
rah_delete_dimensionDelete a dimension
rah_list_guidesList available guides (system + custom)
rah_read_guideRead a guide by name
rah_write_guideCreate or update a custom guide
rah_delete_guideDelete a custom guide
rah_search_contentSearch through source content (transcripts, books, articles)
rah_sqlite_queryRun read-only SQL queries (SELECT/WITH/PRAGMA)

Example Prompts for Claude Code

  • "What's in my knowledge graph?"
  • "Search my knowledge base for notes about React performance"
  • "Add a node about the article I just read on transformers"
  • "What nodes are connected to my 'research' dimension?"

Direct Database Access

Query your database directly:

# Open the database
sqlite3 ~/Library/Application\ Support/RA-H/db/rah.sqlite

# List all nodes
SELECT id, title, created_at FROM nodes ORDER BY created_at DESC LIMIT 10;

# Search by title
SELECT title, description FROM nodes WHERE title LIKE '%react%';

# Find connections
SELECT n1.title, e.explanation, n2.title
FROM edges e
JOIN nodes n1 ON e.from_node_id = n1.id
JOIN nodes n2 ON e.to_node_id = n2.id
LIMIT 10;

See ra-h.app/docs/open-source for full schema documentation.

Commands

CommandWhat it does
npm run devStart the app at localhost:3000
npm run buildProduction build
npm run type-checkCheck TypeScript

Linux/Windows

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

  1. 1.Build sqlite-vec from github.com/asg017/sqlite-vec
  2. 2.Place at vendor/sqlite-extensions/vec0.so (Linux) or vec0.dll (Windows)

Without sqlite-vec, everything works except semantic/vector search.

Built for anyone whose curiosity outpaces their memory.