Multi-Agent System
A multi-agent system is a setup where several specialized AI agents work together on a task, each handling a defined role and passing results to the others.
It suits complex, multi-step processes that a single agent cannot handle reliably on its own. Instead of one agent doing everything in sequence, work is divided among specialists, for example one agent gathering data, another analyzing it, and another drafting the output, with a coordination layer deciding who runs when and combining the results.
The approach improves specialization and scale, but adds the need for governance so the agents do not duplicate or contradict each other. Multi-agent patterns are an emerging deployment model, and capabilities vary by platform and maturity.
Frequently Asked Questions
It is a group of AI agents, each with a specific role, that collaborate on a larger task, coordinated so their outputs combine into one result.