Hey all!
I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems.
To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://www.petrostechchronicles.com/)
https://github.com/Aherontas/Pycon_Greece_2025_Presentation_…
The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration.
Features:
– Multiple agents running in containers
– MCP servers (Brave search, GitHub, filesystem, etc.) as tools
– A2A communication between services
– Minimal UI for experimentation for Tech Trend – repo analysis
I built this repo because most agent frameworks look great in isolated demos, but fall apart when you try to glue agents together into a real application. My goal was to help people experiment with these patterns and move closer to real-world use cases.
It’s not production-grade, but would love feedback, criticism, or war stories from anyone who’s tried building actual multi-agent systems.
Big questions:
Do you think agent-to-agent protocols like MCP/A2A will stick?
Or will the future be mostly single powerful LLMs with plugin stacks?
Thanks — excited to hear what the HN crowd thinks!
Comments URL: https://news.ycombinator.com/item?id=45243320
Points: 1
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Source: github.com
