What is a multi-agent collaboration?
A framework where multiple specialized AI agents interact, debate, or pass tasks to one another to solve a complex problem.
multi-agent collaboration explained in plain English
A framework where multiple specialized AI agents interact, debate, or pass tasks to one another to solve a complex problem.
Example
Practitioners refer to multi-agent collaboration when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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A stage in the agentic loop in which the agent executes the action chosen during the reason stage.
- feedback
A stage in an agentic loop in which the agent evaluates the action taken during the act stage.
- MCP
An open protocol that lets AI models connect to external tools, data sources, and services.
- reason
A stage in the agentic loop in which the agent determines what to do.
- action
In reinforcement learning, the mechanism by which the agent transitions between states of the environment.
- action space
The set of resources an agent can use to perform a task.
- Agent
An AI system that can perceive its environment, make decisions, and take actions to achieve goals autonomously.
- agent orchestration
The centralized management and routing of tasks across multiple sub-agents or LLM calls.
- agentic
The adjective form of agent.
- agentic loop
A cycle that an agent iterates through until a termination condition is met.