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CrewAI

by CrewAI

Framework for coordinating multi-agent AI crews.

Agents & Automation Open-source framework, paid enterprise platform

What is CrewAI?

CrewAI is an open-source Python framework for building teams of specialized AI agents that collaborate on a task, each with a defined role, goal, and set of tools, similar to how a human team might divide up work.

Key features

  • Role-based agent design with clear goals and tools per agent
  • Sequential and hierarchical task orchestration between agents
  • Integration with popular LLMs and external tools
  • Open-source core with a paid enterprise platform for monitoring
  • Large community of shared crew templates and examples

How to get started

  1. Install the CrewAI Python package
  2. Define agents with specific roles, goals, and available tools
  3. Assign tasks and configure how agents should collaborate
  4. Run the crew and review the combined output

Use cases

  • Multi-step research tasks split across specialized agents
  • Automated content pipelines with writer, editor, and reviewer roles
  • Business process automation requiring several distinct skills
  • Prototyping multi-agent systems before a custom build

CrewAI vs. alternatives

ToolHow it compares
CrewAIFramework for coordinating multi-agent AI crews.
AutoGenmore flexible conversational agent framework
LangGraphgraph-based control instead of role-based crews

FAQ

Is CrewAI free to use?

CrewAI's plans: Open-source framework, paid enterprise platform. Pricing and free-tier limits change over time, so check the official site above for the latest details.

What is CrewAI used for?

Framework for coordinating multi-agent AI crews.

Who is CrewAI best for?

CrewAI is a good fit for multi-step research tasks split across specialized agents, or automated content pipelines with writer, editor, and reviewer roles.

What are the alternatives to CrewAI?

Commonly compared alternatives include AutoGen and LangGraph, see the comparison above for how they differ.

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Last reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools