Multi-Agent Systems

What it is

Multi-agent systems use multiple AI agents that work together, each with potentially different specialisations, tools, or perspectives. Agents might collaborate, debate, review each other's work, or divide tasks. This can produce better results than a single agent.

Why it matters

Multi-agent approaches can handle complexity that overwhelms single agents. A team of specialised agents—researcher, writer, critic—can produce better work through collaboration. Understanding multi-agent systems helps you grasp increasingly sophisticated AI architectures.