Multi-Agent Systems
Systems where multiple AI agents work together, each with specialized capabilities, to accomplish complex tasks. Agents may cooperate, negotiate, or compete depending on the system design.
Related terms
- AI Agent
An autonomous AI system that can perceive its environment, make decisions, and take actions to achieve specific goals. Agents can use tools, interact with APIs, and coordinate with other agents.
- Agentic AI
AI systems that can act autonomously to accomplish goals, make decisions, and take actions with minimal human intervention. These agents can plan, reason, use tools, and adapt their approach based on feedback.
Also referenced: Orchestration.
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Next steps
- Take the assessment— See where you stand
Call this framework and its tools from your own agent via the Model Context Protocol (MCP) server. Works with Claude Desktop, Cursor, Zed, Continue, and the OpenAI Agents SDK.
Where this fits
Multi-Agent Systems is part of the Agentic AI vocabulary used in the Generative AI Maturity Framework. See the full glossary for the complete set of 149 defined terms, or take the free maturity assessment to see where your organisation stands.