A learning project to explore LangGraph for building AI agent workflows. Takes a project brief and generates a detailed technical implementation plan.
Converts a simple project idea into:
- Technical requirements analysis
- System architecture design
- Detailed backend/frontend task breakdown with epics, stories, and tasks
- Install dependencies:
npm install- Add your OpenAI API key to
.env:
OPENAI_API_KEY=sk-...npm start -- --brief "Your project idea here"Example:
npm start -- --brief "A web app to track workout sessions with timers and friend sharing"- Console: Quick summary
- File: Detailed markdown plan in
output/plan-[timestamp].md
- LangGraph - AI agent orchestration (the main learning focus!)
- Vercel AI SDK - Structured outputs
- OpenAI GPT-4o - Language model
- TypeScript - Type safety