CrewAI

Framework for orchestrating autonomous AI agents that collaborate to solve complex, multi-step tasks through role-based workflows.

What is CrewAI?

CrewAI enables developers to build multi-agent systems where specialized agents with specific roles work together. Each agent can have access to tools, can delegate tasks, and can communicate with other agents. It emphasizes sequential task execution with agent roles, tools, and goals.

Core Concepts

Typical Use Cases

Mental Model

Think of CrewAI as a team manager. You define team members with specific roles and expertise (agents), give them tasks to complete, and the manager coordinates their work. Each agent does their part, collaborates with teammates, and together they accomplish complex objectives.

Architecture Overview


[Task Queue]
       ↓
[Crew Manager]
       ├─ Agent 1 (Role: Researcher)
       ├─ Agent 2 (Role: Analyzer)
       └─ Agent 3 (Role: Writer)
       ↓
[Tool Registry] ← → [External APIs]
       ↓
[Execution Process] (Sequential, Hierarchical)
       ↓
[Output / Results]
      

Tasks flow through the crew manager, which delegates to agents based on their roles. Each agent uses available tools and communicates results. The process orchestrator determines execution order and coordination.

Key Concepts Glossary

When to Use CrewAI

Choose CrewAI if you need:

Consider alternatives if:

Getting Started

Install CrewAI and create your first crew:

pip install crewai
crewai create crew my-crew

→ CrewAI Documentation

Resources for Further Learning