| name | crewai-orchestrate |
| description | Multi-agent orchestration with CrewAI |
| version | 1.0.0 |
| tags | ["ai","agents","multi-agent","orchestration"] |
CrewAI – Multi-Agent Orchestration
CrewAI orchestrates role-playing AI agents for collaborative tasks —
assign roles, goals, and tools to create AI teams.
- GitHub: github.com/crewAIInc/crewAI (30 000+ ⭐)
- License: MIT
- Security: Active development. No malware.
Environment Variables
| Variable | Description |
|---|
{{CREWAI_API_URL}} | CrewAI deployment API URL (if hosted) |
Usage Examples
Define and run a crew (Python)
from crewai import Agent, Task, Crew
researcher = Agent(role="Researcher", goal="Find latest AI trends")
writer = Agent(role="Writer", goal="Write a summary article")
research_task = Task(description="Research AI agent frameworks", agent=researcher)
write_task = Task(description="Write article from research", agent=writer)
crew = Crew(agents=[researcher, writer], tasks=[research_task, write_task])
result = crew.kickoff()
print(result)
AI Agent Tips
- Agents have roles, goals, backstory, and tool access.
- Sequential and hierarchical process modes.
- Independent of LangChain — works with any LLM provider.
- Ideal for content creation, research, and analysis workflows.