Multi-agent AI

A collaborative network of specialized AI agents working together to solve complex, multi-step problems that single-model systems cannot handle alone.

Multi-agent AI moves past the limitations of a single, all-purpose model by deploying a team of specialized, autonomous agents to divide and conquer complex workflows. Instead of asking one model to handle everything, a multi-agent setup assigns distinct roles (like a researcher, a writer, and a quality judge) that coordinate using structured communication protocols. For example, when Anthropic tasked a single agent with mapping S&P 500 board members, it struggled, but a coordinated swarm of sub-agents split the workload and improved accuracy by 90.2%. By combining specialized tools, local memory, and automated feedback loops, these systems deliver the scalability and fault tolerance needed for production-grade enterprise automation.

https://wikipedia.org/wiki/Multi-agent_system