Multi-agent system for telehealth coordination

Why they built it

To handle complex travel emergencies through collaborative specialized AI agents triaging and executing tasks in real-time

What worked

Multi-agent collaboration with concurrent spawning; LangSmith real-time monitoring; interactive follow-ups and fault tolerance; modular extensions

What broke or was painful

High API costs for complex scenarios; no enhanced security; limited state management

The result

Successfully handled complex emergency scenarios with multi-agent collaboration; 1 GitHub star; demonstrated real-time interactions and monitoring