Multi-Agent Framework
Noun · AI & Machine Learning
Definitions
A framework designed to help developers build, coordinate, and observe systems composed of multiple agents. Multi-agent frameworks usually provide abstractions for roles, messaging, memory, tool use, and handoffs.
In plain English: A framework for building systems with multiple AI agents.
Example: "They evaluated a multi-agent framework so planning, retrieval, and verification agents could share traces and context more systematically."