RA-H OS

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TL;DR: Use the MCP quick install if you want Claude Code, Cursor, Codex, or another agent to read and write your local graph. Clone this repository only if you also want the local browser UI.

Cross-platform local runtime: macOS works out of the box. Windows and Linux are now being hardened for the core local/web app flow, but semantic/vector search still depends on either sqlite-vec for your platform or a later Qdrant setup.

Docs start here: docs/README.md

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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 and other MCP clients can query and add to your knowledge base

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

Current contract:

• no runtime dimensions
• no separate runtime contexts layer or context capsule
• node quality comes from title, description, source, metadata, and explicit edges
• direct node lookup first for specific-node intent
• getContext for orientation and retrieveQueryContext for broader current-turn grounding
• standalone MCP writes node data, but the app owns chunking and embeddings: nodes.source becomes readable chunks, node-level vectors in vec_nodes, and passage vectors in vec_chunks

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Requirements

• Node.js 20.18.1+ — nodejs.org
• macOS — Works out of the box
• Windows/Linux — Core app flow is being validated; vector search still requires sqlite-vec for your platform (see below)

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Install

Which install should I use?

You want...	Use this path
Your AI coding agent can read/write your RA-H graph	Option A: MCP-only quick install
A browser UI at localhost:3000	Option B: Full local app
A clean demo that does not touch your real graph	Demo-safe isolated install

Option A: MCP-only quick install

If you mainly want Claude Code, Cursor, Codex, or another coding agent to use RA-H, start here.

For Claude Code:

npx -y ra-h-mcp-server@latest setup --client claude-code --yes

Then fully restart Claude Code. On Mac, use Cmd+Q, then reopen it.

Verify:

npx -y ra-h-mcp-server@latest doctor

Then ask your agent:

Do you have RA-H tools available?

You should see tools like queryNodes, retrieveQueryContext, createNode, and readSkill.

Other clients:

npx -y ra-h-mcp-server@latest setup --client cursor --yes
npx -y ra-h-mcp-server@latest setup --client codex --yes

Notes:

• --yes lets the installer write supported client config automatically.
• Codex uses TOML config, so the installer writes CODEX_HOME/config.toml or ~/.codex/config.toml.
• The MCP-only path does not clone this repo and does not start the browser UI.
• The installer defaults to the latest published MCP package. For release/debug reproducibility, pin an exact version intentionally.

npx -y ra-h-mcp-server@latest setup --client claude-code --yes --pin current

Option B: Full local app

Use this if you want the browser UI at localhost:3000.

git clone https://github.com/bradwmorris/ra-h_os.git
cd ra-h_os
npm install
npm run setup:local
npm run dev

Open localhost:3000. Done.

If you also want your coding agent connected to the same database, run Option A after the app setup.

Full install details:

• docs/README.md
• docs/8_mcp.md
• docs/10_full-local.md

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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 node descriptions
• 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

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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

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Demo-safe isolated install

If you need a clean demo without touching your normal RA-H database:

git clone https://github.com/bradwmorris/ra-h_os.git ~/Desktop/ra-h_os-demo
cd ~/Desktop/ra-h_os-demo
npm install
SQLITE_DB_PATH="$HOME/Desktop/ra-h_os-demo-data/rah.sqlite" npm run setup:local
npm run dev

npx -y ra-h-mcp-server@latest setup \
  --client claude-code \
  --yes \
  --db "$HOME/Desktop/ra-h_os-demo-data/rah.sqlite"

Connect Claude Code (or other MCP clients)

The recommended path is the CLI installer:

npx -y ra-h-mcp-server@latest setup --client claude-code --yes

Manual config is still useful for troubleshooting or unsupported clients. Add this to your MCP client config and restart the client fully:

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

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

If you need a frozen version for debugging, pin it explicitly and restart the client.

Verify it worked: Ask Claude Do you have RA-H tools available? You should see tools like queryNodes, retrieveQueryContext, createNode, and readSkill.

For contributors testing local changes, use the local path instead:

{
  "mcpServers": {
    "ra-h": {
      "command": "node",
      "args": ["/absolute/path/to/ra-h_os/apps/mcp-server-standalone/index.js"]
    }
  }
}

What happens: Once connected, the agent should use queryNodes for specific existing-node lookup, retrieveQueryContext when broader graph grounding would help, and getContext only for orientation. It should search before creating, propose durable writeback selectively instead of pestering, and treat the graph itself as the source of grounding rather than a separate contexts layer. The MCP server stores source on the node. The app later turns that source into chunks and embeddings.

Recommended memory file: If you use Claude Code or another coding agent, add one short repo-level memory file (AGENTS.md or CLAUDE.md) that reinforces the core graph behavior. Keep it simple and do not maintain conflicting versions across multiple files.

Suggested snippet:

## RA-H Graph Memory

You are helping build a thoughtful graph of atomic units of context.

- Use `queryNodes` for direct lookup of a specific existing node.
- Use `retrieveQueryContext` when broader graph context would help with the current turn.
- Search before creating. Prefer updating the same artifact when it is clearly the same thing.
- `description` should state plainly what the thing is first, then why it belongs and current status.
- Preserve the user's wording in `source` for user-authored ideas unless they explicitly want a rewrite.

Or install that guidance into the repo memory file:

npx -y ra-h-mcp-server@latest install-rules --client codex --target . --yes

Available tools:

Tool	What it does
getContext	Get graph overview — stats, hub nodes, skills, and orientation signals
retrieveQueryContext	Pull relevant graph context for a broader current-turn task
queryNodes	Find nodes by keyword
createNode	Create a new node
getNodesById	Fetch nodes by ID
updateNode	Edit an existing node
createEdge	Link two nodes together after explicit confirmation
updateEdge	Update an edge explanation after explicit confirmation
queryEdge	Find connections
listSkills	List available skills
readSkill	Read a skill by name
writeSkill	Create or update a custom skill
deleteSkill	Delete a custom skill
searchContentEmbeddings	Search through source content (transcripts, books, articles)
sqliteQuery	Run 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"
• "Show me the nodes connected to this project idea"

---

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 docs/2_schema.md and docs/8_mcp.md for the current contract.

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Commands

Command	What it does
npm run setup:local	Rebuild native modules, create .env.local, create the SQLite DB, and seed the base schema
npm run bootstrap:local	Lower-level helper used by setup:local; most users should not run this directly
npm run dev	Start the app at localhost:3000
npm run dev:local	Alias for npm run dev
npm run build	Production build
npm run type-check	Check TypeScript

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Windows

Windows support is now being validated against real user setups.

The latest runtime update is intended to make the core local/web app work on Windows even if vector search is not configured yet:

• the app should still start
• nodes, UI, and keyword/FTS search should still work
• /api/health/vectors should report vector search as unavailable instead of crashing

For semantic/vector search on Windows:

1. Go to sqlite-vec releases
2. Download the Windows x64 release (for example sqlite-vec-0.1.6-loadable-windows-x86_64.zip)
3. Extract vec0.dll
4. Copy it to vendor/sqlite-extensions/vec0.dll in this repo
5. Re-run the normal local setup steps

Without vec0.dll, the core app should still work, but semantic/vector search will be unavailable.

Linux

Linux support depends on which Linux environment you are running.

For standard Linux x64 distributions that use glibc (Ubuntu, Debian, Fedora, etc.), the core app should work and sqlite-vec can be added like this:

1. Go to sqlite-vec releases
2. Download the Linux release matching your architecture (for example sqlite-vec-0.1.6-loadable-linux-x86_64.tar.gz)
3. Extract vec0.so
4. Copy it to vendor/sqlite-extensions/vec0.so in this repo
5. Re-run the normal local setup steps

For Alpine/musl environments, sqlite-vec is the problem case. The core app may still run, but sqlite-vec is not the reliable path there. Qdrant is the intended backend for that deployment target.

Without sqlite-vec:

• the core app should still start
• nodes, UI, and keyword/FTS search should still work
• /api/health/vectors should report vector search as unavailable instead of crashing

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Community

• Discord: discord.gg/3cpQj6Jtc9 — ask questions, share your setup, get help
• Repo docs: docs/README.md
• Issues: github.com/bradwmorris/ra-h_os/issues
• License: MIT