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 analysisI 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=45243320Points: 1# Comments: 0