CrewAI
ActiveDescription
A multi-agent collaboration framework where AI agents form crews to accomplish complex tasks together. Role definition, task assignment, tool sharing, and process orchestration.
Key Features
- Multi-agent collaboration orchestration — multiple AI agents form Crews with role-based分工 to accomplish complex tasks
- CrewAI Flows — enterprise-grade production architecture with event-driven control and single LLM call orchestration
- Standalone framework — built from scratch, independent of LangChain or other agent frameworks
- Flexible low-level customization — deep customization from workflow architecture to agent behavior, internal prompts, and execution logic
- Tool sharing — agents can share tools across the crew for improved collaboration efficiency
- Crew Control Plane — enterprise edition with tracing, observability, security, and unified management dashboard
Use Cases
💡 Building multi-agent collaboration systems to automate complex business processes
💡 Using Flows to build production-ready event-driven agent applications
💡 Assigning specialized agent roles for different tasks working as a coordinated team
💡 Monitoring and managing enterprise agent deployments through Crew Control Plane
💡 Quickly scaffolding CrewAI projects using Agent Skills marketplace
Categories
Quick Start
pip install crewai
# Basic example creating Agents and Tasks
from crewai import Agent, Task, Crew
researcher = Agent(role='Researcher', goal='Find latest AI trends')
task = Task(description='Research AI agent trends in 2025', agent=researcher)
crew = Crew(agents=[researcher], tasks=[task])
result = crew.kickoff()
print(result)