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Glossary

What is multi-agent system?

A multi-agent system coordinates several AI agents — often with specialised roles — that communicate and divide a task, rather than relying on one agent to do everything.

Splitting work across agents lets each focus on a narrower job — a planner, a coder, a reviewer — and tackle problems too complex for a single loop. Common patterns include an orchestrator delegating to workers, agents debating to improve answers, and pipelines where each stage is its own agent.

Open-source frameworks supply the messaging, shared memory, and orchestration. The hard parts are coordination overhead and cost control, since every agent step is another model call.

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▌ multi-agent system — FAQ

What is multi-agent system?
A multi-agent system coordinates several AI agents — often with specialised roles — that communicate and divide a task, rather than relying on one agent to do everything. Splitting work across agents lets each focus on a narrower job — a planner, a coder, a reviewer — and tackle problems too complex for a single loop. Common patterns include an orchestrator delegating to workers, agents debating to improve answers, and pipelines where each stage is its own agent.