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CrewAI

Cutting-edge framework for orchestrating role-playing, autonomous AI agents.

LicenseMIT
GitHub stars21.5k
Last commit1 weeks ago
Tags5 topics
Autonomous CrewPython CrewaiRole Playing AgentsMulti Agent OrchestratorDeveloper Tools
Overview

Why consider CrewAI?

CrewAI is an open-source multi-agent orchestration framework written in Python by João Moura. CrewAI enables developers to construct collaborative teams of AI agents with specific personas, delegated goals, memory systems, and tools to solve complex multi-step enterprise workflows.

Guided learning

Learn CrewAI by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of CrewAI

CrewAI organizes autonomous AI agents into collaborative teams with specialized operational roles.

Quickstart

bash
1pip install crewai
python
1from crewai import Agent, Task, Crew
2researcher = Agent(role='Researcher', goal='Discover breakthrough insights', backstory='Expert analyst')
3crew = Crew(agents=[researcher], tasks=[...])
4crew.kickoff()

CrewAI is licensed under the permissive MIT License.

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CrewAI FAQs

CrewAI is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

CrewAI is listed under the MIT license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

CrewAI is listed as an alternative to LangGraph. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.