AutoAgentGPT

Multi-Agent Systems: Coordinating Specialized AI Agents

An introduction to multi-agent systems, why specialized agents beat one generalist, and how AutoAgentGPT coordinates roles toward one goal.

AutoAgentGPT shown as nodes in an environment

Why more than one agent

Big goals contain different kinds of work. A multi-agent system splits that work between specialized agents, each with its own role and its own view of the problem.

Common roles

Independent roles catch mistakes that a single agent would repeat.

  • •Planner: breaks the goal into parts.
  • •Researcher: gathers evidence.
  • •Critic: challenges weak conclusions.
  • •Executor: carries out the chosen plan.

How AutoAgentGPT coordinates

AutoAgentGPT acts as the strategist that assigns roles, compares their findings and decides what to do next, while handing known, precise steps to TaskBotGPT.

Learn more about AutoAgentGPT

Read the AutoAgentGPT Guide

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