Initial commit: RA-H Open Source Edition

Local-first knowledge management system with BYO API keys.

Features:
- 3-panel UI (Nodes | Focus | Helpers)
- SQLite + sqlite-vec for vector search
- Agent system (Easy/Hard mode orchestrators)
- Content extraction (YouTube, PDF, web)
- Integrate workflow for connection discovery
- Dimension system with auto-assignment

Tech stack:
- Next.js 15 + TypeScript + Tailwind CSS
- Anthropic (Claude) + OpenAI (GPT) via Vercel AI SDK

Setup:
  npm install && npm rebuild better-sqlite3
  scripts/dev/bootstrap-local.sh
  npm run dev

MIT License

docs/0_overview.md

@@ -0,0 +1,28 @@
+# RA-H Overview
+
+## What is RA-H?
+
+RA-H is a flexible knowledge management system designed for researchers. It learns how you think and helps connect ideas across your knowledge base.
+
+For more information, visit [ra-h.app](https://ra-h.app)
+
+## Design Philosophy
+
+**Non-prescriptive & emergent** - The system doesn't force you into folders or predefined categories. Organization emerges naturally from your actual content. The structure adapts to how you think, not the other way around.
+
+**Everything is connected** - Every piece of knowledge can potentially connect to any other. Connections aren't just links - they carry context, explanation, and meaning.
+
+**Local-first** - Your knowledge network belongs to you, not a platform. Your thinking, research, and connections all belong to you in a portable format you control.
+
+## Tech Stack
+
+- **Frontend:** Next.js 15, TypeScript, Tailwind CSS
+- **Database:** SQLite + sqlite-vec (vector search)
+- **AI:** Anthropic Claude + OpenAI GPT via Vercel AI SDK
+- **Deployment:** Currently beta web bundle, Mac app coming soon
+
+## Current Status
+
+- **Version:** Beta (private distribution)
+- **Platform:** Web-based (Next.js server)
+- **Roadmap:** Native Mac application with user data migration