Framework for orchestrating role-playing AI agents. Create teams of agents that collaborate on complex tasks.
CrewAI is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view crewAIInc/crewAI --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
CrewAI lets you define AI agents with specific roles, goals, and tools, then orchestrate them to work together on complex multi-step tasks. Each agent has a defined role (researcher, writer, reviewer) and the framework manages task delegation and collaboration between them.
CrewAI lets you define AI agents with specific roles, goals, and tools, then orchestrate them to work together on complex multi-step tasks. Each agent has a defined role (researcher, writer, reviewer) and the framework manages task delegation and collaboration between them.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 58 days ago.
21000 GitHub stars indicate community interest.
160 open issues signal maintenance load.
MIT license detected.
Multi-agent research
Content pipeline automation
Complex decision workflows
Python-based, runs in your environment
API keys for LLM access needed per agent
21,000
Stars
2,900
Forks
160
Issues
MIT
License
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Framework for orchestrating role-playing AI agents. Create teams of agents that collaborate on complex tasks.
AI Engineers, Python Developers
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Python-based, runs in your environment API keys for LLM access needed per agent
Similar or complementary options to evaluate include Ollama, Continue, Claude Code.
May 31, 2026
2 security/trust notes recorded.
Setup difficulty is 2/5.