CrewAI
agent-framework59,843MIT

CrewAI

Framework for orchestrating role-based AI agents that collaborate to accomplish complex tasks.

Updated Oct 19, 2026
Platforms
linux, macos, windows
Pricing
free-tier
Status
active
License
MIT

What it does

Core capabilities at a glance

  • Role-based agent definition with goals and backstories
  • Task delegation and inter-agent communication
  • Sequential and hierarchical management
  • Custom and pre-built tool integration
  • Asynchronous task execution
  • LangChain tool and model compatibility

Deep dive

The full breakdown - performance, comparisons, and setup

CrewAI

CrewAI implements the most intuitive mental model for multi-agent systems: assemble a crew of AI agents with specific roles, give them tasks, and let them collaborate autonomously.

What it is

CrewAI is a Python framework for orchestrating multiple AI agents that work together on complex tasks. Each agent has a role, goal, and backstory - like characters in a heist movie. Agents can delegate tasks to each other, use tools, and report results.

How it stacks up

CrewAIAutoGPTLangGraphAgno
Role-based agents✓✓✗✗✗
Autonomous✓✓✓Partial✓
Tool integration✓✓✓✓
Ease of useHighMediumLowMedium
Best forAgent teamsSolo automationComplex graphsMulti-modal

Get started

from crewai import Agent, Task, Crew, Process
 
researcher = Agent(role="Researcher", goal="Find accurate information", backstory="Expert researcher")
writer = Agent(role="Writer", goal="Write compelling content", backstory="Expert writer")
 
task = Task(description="Research and write about AI", agent=researcher)
 
crew = Crew(agents=[researcher, writer], tasks=[task], process=Process.sequential)
result = crew.kickoff()

When to use something else

  • Need LangChain-level flexibility: Use LangChain directly
  • Single autonomous agent: AutoGPT for goal-driven automation
  • TypeScript ecosystem: Mastra
  • Complex state machines: LangGraph for fine-grained control

From the community

What users are saying

“You should announce that you are a developer advocate at CrewAI. Flagged this as spam.”

“In this new hands-on workshop, Ed Donner and I (Jon Krohn) introduce AI agents, including multi-agent systems. All the essential theory of agentic AI is provided alongside hands-on code demos in Python that feature the critical agent frameworks: MCP, CrewAI and the OpenAI Agents SDK.”

“To be transparent - I do work at CrewAI. This is a side project I built using the open-source framework solve a real problem I was having with email management. Happy to answer any questions about how it works or the thought process behind it.”

Frequently asked

Quick answers to common questions

What is CrewAI?

CrewAI is a agent-framework tool for local AI workloads. Framework for orchestrating role-based AI agents that collaborate to accomplish complex tasks.

Is CrewAI free and open source?

Yes, CrewAI has 59,843 GitHub stars and is licensed under MIT. You can self-host it for free on linux, macos, windows.

What platforms does CrewAI support?

CrewAI runs on linux, macos, windows.

What hardware do I need for CrewAI?

The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. CrewAI has 59,843 GitHub stars and an active community.

Does CrewAI support GPU acceleration?

CrewAI supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.

What are the best alternatives to CrewAI?

Popular alternatives include other agent-framework tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.

How much does CrewAI cost?

CrewAI is free-tier. There is a free tier available with paid upgrades for advanced features.

Pairs well with

Complementary tools, models, and hardware