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What is a multi-agent system?
A multi-agent system is software in which several AI agents, each with a focused role, work together toward a shared goal — typically a coordinator agent delegating to and synthesizing the work of specialist agents. It contrasts with a single-agent system, where one model handles everything.
A multi-agent system is software in which several AI agents, each with a focused role, work together toward a shared goal — typically a coordinator agent delegating to and synthesizing the work of specialist agents. It contrasts with a single-agent system, where one model handles everything.
Multi-agent designs win when the work spans many domains or sources at once. Instead of one context-window trying to hold everything, the problem is decomposed: each agent owns a slice, and a coordinator composes the results.
Foundry is a concrete example aimed at solo founders: a master 'chief of staff' agent coordinates specialist agents that monitor individual tools across your stack, and turns their combined findings into one daily briefing.
FAQ
- Is a multi-agent system the same as agents 'talking to each other'?
- Not necessarily. Coordination can be direct messaging between agents, or — as in Foundry — specialists writing structured findings that a coordinator reads and synthesizes. Both are multi-agent systems.
See it working in Foundry.
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