Glossary Systems and architecture
Multi-agent system
Several agents share a task and call each other.
What is Multi-agent system?
In a multi-agent system several specialised agents share one task: one plans, one researches, one writes, one reviews. They exchange intermediate results and call each other, often without a human seeing the individual steps.
The risk shifts from the single output to the chain. An error or a manipulated instruction propagates and is treated by downstream agents as established groundwork. Controls belong at the handovers: checkpoints between agents, scoped permissions per role, and logging that makes the whole run reconstructable.
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“Multi-agent system”. Versatile AI Risk Assessment, glossary of AI risk analysis, as of September 2026. https://www.versatile-ai-risk-assessment.com/en/wissensbasis/glossary/multi-agenten-system/