Multi-Agent System

A multi-agent system is an AI architecture in which multiple AI agents work together — each handling a specific part of a complex task — rather than a single agent doing everything. One agent might handle research, another analysis, another writing, another review. Multi-agent systems are more powerful than single agents for complex, multi-step tasks because they can parallelize work, apply specialized capabilities to each stage, and check each other's outputs.

They also introduce new challenges: coordination, context transfer between agents, and handling conflicts when agents reach different conclusions.