Multi-Agent Framework

Noun · AI & Machine Learning

Definitions

  1. 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."

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