Agentic multi-agent orchestration

Orchestrating specialized AI agents into autonomous workflows to solve complex, multi-step reasoning tasks.

Agentic multi-agent orchestration moves beyond single-prompt LLMs by deploying a network of specialized agents (like AutoGen or LangGraph) that collaborate to execute high-level goals. Each agent operates with distinct tools, personas, and memory, communicating via structured protocols to self-correct and refine outputs. In a production environment, this looks like a 'Coder' agent writing Python while a 'Reviewer' agent validates the syntax and a 'Manager' agent ensures the project meets the initial 4-point requirement list. This architecture reduces hallucination rates and handles non-linear workflows that standard RAG pipelines cannot manage.

https://www.microsoft.com/en-us/research/project/autogen/