Building a Multi-Agent AI System: 7 Specialized Agents in React + FastAPI
The Problem I Set Out to Solve
Instead of having one general AI assistant, what if we had specialized agents for different tasks?
What I Built
After 2 months of development, I created an open-source multi-agent system with:
🏠 Real Estate Agent - Search US properties with natural language
✈️ Travel Agent - Plan trips with interactive maps
💰 Finance Agent - Investment analysis and market research
📰 News Agent - Real-time aggregation and analysis
👨💻 Coding Agent - Programming assistance and debugging
🛍️ Shopping Agent - Product search and price comparison
🎨 Image Generator - AI-powered creative tools
Tech Stack & Architecture
- Frontend: React + TypeScript
- Backend: FastAPI + Python
- AI Framework: LangGraph + LangChain
- LLM: Google Gemini
- Database: Supabase
Key Features
- Multi-modal support (text + images)
- File upload with OCR/PDF parsing
- Interactive maps integration
- Real-time chat with typing indicators
- Conversation history and context retention
Demo Videos
Travel Agent in action: [https://youtu.be/dLcbg4htcJ8]
Real Estate Agent in action: [https://youtu.be/yrBJ0CRmyEU]
Challenges I Faced
- Agent Coordination - Getting agents to call the correct tools in the correct format
- Context Management - Maintaining conversation history
- API Integration - Managing multiple external APIs
- Performance - Handling multiple concurrent requests
What I Learned
- LangGraph is powerful for agent orchestration
- React + FastAPI is a solid combo for AI apps
- Good documentation is crucial for open source
What's Next
Looking for contributors to help add new agents and features!
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