[jovanaccount]

From my experience building multi-agent systems: the biggest underappreciated problem is state coordination.

Frameworks handle individual agent capabilities well. What they don't handle: preventing two agents from silently overwriting each other's work on shared state. It's a classic race condition but in AI systems the output looks reasonable, so you don't notice it until production.

We open-sourced a coordination layer that adds atomic state management to any framework (LangChain, AutoGen, CrewAI, MCP, etc.): https://github.com/Jovancoding/Network-AI