What is a multi agent system?
A multi agent system is a setup where several AI agents work together, each with its own role, coordinating to solve a problem too big or too complex for a single agent. Picture a small team instead of one generalist.
One agent might research, another might write, a third might check the work. They pass information back and forth and reach an outcome none could reach alone. The coordination is the hard part, deciding who does what and how they hand off cleanly.
It mirrors how human teams actually work, and it is where a lot of the most ambitious AI projects are heading.
Related terms: AI agent, AI agent framework, agentic AI.
Why use multiple agents instead of one?
Splitting work across specialized agents improves accuracy and handles complexity better than overloading a single agent.
