| Website | crewai.com |
| Category | AI / Multi-Agent Framework |
| License | MIT (open source) |
| Pricing | Free (open source), Enterprise plans available |
Overview
CrewAI orchestrates multiple AI agents working together. Role-based agents, task delegation, sequential and parallel workflows. Build AI teams, not just chatbots.
Pros
- MIT license
- Role-based agent definition
- Task delegation and planning
- Sequential and parallel execution
- Tool integration
- Human-in-the-loop support
Cons
- Complex for simple tasks
- Agent coordination overhead
- Token costs multiply with agents
- Debugging multi-agent flows
- Documentation could be deeper
Verdict
CrewAI makes multi-agent AI practical. Define agents with roles (researcher, writer, editor), assign tasks, and CrewAI handles the coordination. The role-based approach means each agent specializes and the team produces better output than any single agent. For complex workflows where one LLM call isn't enough — research reports, content creation, code review — CrewAI orchestrates the team.