Multi-agent LLM orchestration

A framework for coordinating specialized AI agents that collaborate, peer-review, and execute multi-step workflows autonomously.

This architecture shifts from single-prompt interactions to a team-based approach (using frameworks like Microsoft’s AutoGen or LangGraph). By assigning distinct roles: a 'Coder' agent writing Python and a 'Reviewer' agent checking for bugs: systems solve high-reasoning tasks that stall basic LLMs. You get better reliability: multi-agent setups can reduce error rates by 30% or more through iterative feedback loops. It is the move from a lone chatbot to a digital department that handles 10x more complexity than a standard chat interface.

https://microsoft.github.io/autogen/