Multi-agent systems, explained
Each agent can have its own role, tools, and working information. The system also needs a way to assign tasks and bring the separate results together.
A multi-agent system uses several AI agents that communicate and coordinate their work to complete tasks for a shared objective.
Several agents divide the work
One agent may plan the job while another retrieves information. A third may check the proposed result against a rule. This division can keep each role focused.
The agents still need enough shared context to cooperate. Without clear handoffs, they can repeat work, act on different assumptions, or produce conflicting results.
Coordination can be central or distributed
A central coordinator can assign tasks and collect answers. This makes the flow easier to follow, but it also places more responsibility on one part of the system.
In a distributed design, agents share information with one another or through a common environment. That removes a single coordinator but makes agreement and failure handling more complex.
Multi-agent system terms
- Specialized agent
- An agent assigned a limited role or type of task within a larger workflow.
- Coordinator
- The part of the system that assigns work or combines results across agents.
- Shared environment
- Information or systems that several agents can use to communicate indirectly.
What the system must define
Clear roles
Each agent needs a specific job and a limit on what it may decide.
A handoff method
The system needs a reliable way to pass tasks, context, and results.
Failure ownership
A person or control must handle conflicts, missing answers, and stalled work.
Questions about multi-agent systems
No. The agents must communicate or coordinate toward a shared objective. Separate tools with no cooperation do not form a multi-agent system.
Different agents can handle distinct roles or knowledge areas. That can help organize a task that would be difficult for one agent to manage alone.
The design should name a coordinator, automated check, or person responsible for resolving conflicts and approving the final outcome.
Related glossary terms
Give every part of the workflow an owner
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