Files

T

“BeeRad” 733d1c3407 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

2025-12-15 16:14:28 +11:00

1.2 KiB

Raw Blame History

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

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

1.2 KiB Raw Blame History