419d29dbe85643f14e804fda3e3abcb835e1a89c
- Add drag-and-drop PDF upload to Quick Capture - New upload endpoint with size limits (warn 10MB, reject 50MB) - Add extractFromBuffer method to PaperExtractor - Visual feedback: drag-over highlight, file preview card Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
RA-H Open Source
A local-first AI research workspace. Full 3-panel interface, vector search, content ingestion, workflows, and conversation agents. BYO API keys, no cloud dependencies.
Full Documentation: ra-h.app/docs
Platform Support
| Platform | Status |
|---|---|
| macOS (Apple Silicon) | ✅ Supported |
| macOS (Intel) | ✅ Supported |
| Linux | 🚧 Coming (requires manual sqlite-vec build) |
| Windows | 🚧 Coming (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/Anthropic keys.
Features
- 3-Panel interface – Nodes, focus, and chat in one view
- BYO keys – Your Anthropic/OpenAI keys only; nothing sent to RA-H
- Local SQLite + sqlite-vec – Semantic search and embeddings on your machine
- Content extraction – YouTube, PDF, web pipelines included
- Workflows – Editable JSON workflows for common tasks
- MCP Server – Connect Claude Code, ChatGPT, or any MCP-compatible assistant
Project Layout
app/ Next.js App Router
src/
components/ UI
services/ Agents, embeddings, ingestion, storage
tools/ Agent tools
config/ Prompts, workflows
apps/mcp-server/ MCP server for external AI assistants
docs/ Local docs (mirrors ra-h.app/docs)
scripts/ Dev helpers
vendor/ Pre-built binaries (sqlite-vec, yt-dlp)
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
Primary: ra-h.app/docs
Local reference:
- docs/0_overview.md – Overview
- docs/1_architecture.md – Architecture
- docs/2_schema.md – Database schema
- docs/8_mcp.md – MCP server setup
- docs/TROUBLESHOOTING.md – Common issues
Linux/Windows Setup
The bundled sqlite-vec and yt-dlp binaries are macOS-only. For other platforms:
sqlite-vec (required for vector search):
- Clone https://github.com/asg017/sqlite-vec
- Build for your platform
- Place at
vendor/sqlite-extensions/vec0.so(Linux) orvec0.dll(Windows) - Set
SQLITE_VEC_EXTENSION_PATHin.env.local
yt-dlp (required for YouTube extraction):
- Download from https://github.com/yt-dlp/yt-dlp/releases
- Place at
vendor/bin/yt-dlp chmod +x vendor/bin/yt-dlp(Linux)
Without sqlite-vec: UI, node CRUD, basic search, chat, and content extraction still work. Vector/semantic search requires it.
Contributing
See CONTRIBUTING.md. Issues and PRs welcome.
License
Description
RA-H OS knowledge graph system — forked from bradwmorris/ra-h_os with local patches
36 MiB
Languages
TypeScript
75.8%
JavaScript
16.6%
Shell
6.9%
CSS
0.7%