What Are Multi-Agent Systems?
TL;DR: A multi-agent system is several AI agents working together — each with a role — to complete a larger goal, like a small team. They shine for complex, multi-step work but add cost and complexity, so start with one agent unless you clearly need more.
How they work
- Each agent has a role (researcher, writer, reviewer)
- A coordinator passes tasks and context between them
- They combine results into a final outcome
When you need one
Use multi-agent setups for complex workflows that one agent struggles with. For most tasks, a single well-scoped agent is simpler and cheaper.
How to start
Platforms like Relevance AI offer agent "teams"; frameworks let developers build custom ones. See AI agent frameworks.
Frequently asked questions
What is a multi-agent system?
Several AI agents with defined roles working together, coordinated to complete a larger goal - like a small team.
Do I need a multi-agent system?
Only for complex multi-step work. For most tasks, a single well-scoped agent is simpler and cheaper.
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