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Introduction

CrewAI is the leading open-source framework for orchestrating autonomous AI agents and building complex workflows.

It empowers developers to build production-ready multi-agent systems by combining the collaborative intelligence of Crews with the precise control of Flows.

  • CrewAI Flows: The backbone of your AI application. Flows allow you to create structured, event-driven workflows that manage state and control execution. They provide the scaffolding for your AI agents to work within.
  • CrewAI Crews: The units of work within your Flow. Crews are teams of autonomous agents that collaborate to solve specific tasks delegated to them by the Flow.

With over 100,000 developers certified through our community courses, CrewAI is the standard for enterprise-ready AI automation.

Watch: Building CrewAI Agents & Flows with Coding Agent Skills

Section titled “Watch: Building CrewAI Agents & Flows with Coding Agent Skills”

Install our coding agent skills (Claude Code, Codex, …) to quickly get your coding agents up and running with CrewAI.

You can install it with npx skills add crewaiinc/skills

CrewAI’s architecture is designed to balance autonomy with control.

CrewAI Framework Overview
CrewAI Framework Overview

Flows provide:

  • State Management: Persist data across steps and executions.
  • Event-Driven Execution: Trigger actions based on events or external inputs.
  • Control Flow: Use conditional logic, loops, and branching.
CrewAI Framework Overview
CrewAI Framework Overview

Crews provide:

  • Role-Playing Agents: Specialized agents with specific goals and tools.
  • Autonomous Collaboration: Agents work together to solve tasks.
  • Task Delegation: Tasks are assigned and executed based on agent capabilities.
  1. The Flow triggers an event or starts a process.
  2. The Flow manages the state and decides what to do next.
  3. The Flow delegates a complex task to a Crew.
  4. The Crew’s agents collaborate to complete the task.
  5. The Crew returns the result to the Flow.
  6. The Flow continues execution based on the result.

Production-Grade Flows

Build reliable, stateful workflows that can handle long-running processes and complex logic.

Autonomous Crews

Deploy teams of agents that can plan, execute, and collaborate to achieve high-level goals.

Flexible Tools

Connect your agents to any API, database, or local tool.

Enterprise Security

Designed with security and compliance in mind for enterprise deployments.

The short answer: Use both.

For any production-ready application, start with a Flow.

  • Use a Flow to define the overall structure, state, and logic of your application.
  • Use a Crew within a Flow step when you need a team of agents to perform a specific, complex task that requires autonomy.
Use CaseArchitecture
Simple AutomationSingle Flow with Python tasks
Complex ResearchFlow managing state -> Crew performing research
Application BackendFlow handling API requests -> Crew generating content -> Flow saving to DB
  • 🧠 Autonomous Operation: Agents make intelligent decisions based on their roles and available tools
  • 📝 Natural Interaction: Agents communicate and collaborate like human team members
  • 🛠️ Extensible Design: Easy to add new tools, roles, and capabilities
  • 🚀 Production Ready: Built for reliability and scalability in real-world applications
  • 🔒 Security-Focused: Designed with enterprise security requirements in mind
  • 💰 Cost-Efficient: Optimized to minimize token usage and API calls