CrewAI
Build teams of AI agents that collaborate on complex tasks — each with a role, tools, and goals. The multi-agent framework developers use to tackle work that requires more than one model pass.
Overview
CrewAI is the open-source Python framework for building collaborative multi-agent systems — where multiple AI agents with defined roles work together to complete complex tasks that a single agent can't handle reliably. Define a Researcher agent, a Writer agent, and an Editor agent, assign them tools, and CrewAI orchestrates how they hand off work, share context, and produce a final output. It's built on top of LangChain but adds role-based agent design and inter-agent collaboration patterns that LangChain alone doesn't provide. With 30,000+ GitHub stars it's one of the fastest-growing agent frameworks in production.
Key Features
- Role-based agent design
- Sequential and parallel task execution
- Tool integration
- Memory and context sharing
- LangChain compatible
- Python-native
- • Role-based design makes complex workflows intuitive to build and debug
- • One of the largest multi-agent framework communities — strong docs and examples
- • Works with any LLM provider
- • Python-only — no visual builder or low-code interface
- • Agent coordination adds latency that simple tasks don't need