CrewAI
FreemiumThe leading multi-agent platform for orchestrating role-playing autonomous AI agents and workflows.
CrewAI is an open-source Python framework and enterprise platform for building and orchestrating teams of autonomous AI agents. Founded in 2023 by João Moura, it gives developers a structured way to define agents with roles, goals, and backstories, assign them tasks, and let them collaborate in "crews" to complete complex workflows. A separate visual layer called Crew Studio and an enterprise product called CrewAI AMP make the technology accessible to less technical users and large organizations that need security, observability, and governance.
What is it
A multi-agent orchestration framework that lets developers and enterprises build autonomous AI teams that reason, use tools, and collaborate to complete tasks.
What it can do
Define role-based agents, compose crews and event-driven flows, integrate hundreds of tools via function calling, MCP, and A2A, persist memory and checkpoints, and deploy through a Python SDK or a visual enterprise studio.
Who is it for
Python developers building agentic applications, AI engineers prototyping autonomous systems, and enterprises automating research, operations, customer support, software delivery, and decision workflows.
Key Features
Role-Based Agent Orchestration — Agents with Purpose
Define agents using roles, goals, backstories, and constraints so each agent behaves like a specialist rather than a generic chatbot, then delegate tasks that play to those roles.
Crews and Flows — Two Collaboration Models
Run agents in a Crew for autonomous collaboration with planning, delegation, and sequential/hierarchical processes, or use Flow for event-driven, deterministic control over multi-step pipelines.
Hundreds of Built-In and Custom Tools
Connect agents to external APIs, databases, search engines, browsers, calculators, and custom functions. Tool use is first-class and supports dynamic selection based on task context.
MCP and A2A Interoperability — Plug Into Any Ecosystem
Integrate with Model Context Protocol servers and Agent-to-Agent protocols so CrewAI agents can call tools and coordinate with agents built in other frameworks.
Use Cases
Autonomous research teams
Assemble agents that search the web, read documents, synthesize findings, and write reports with citations, cutting research time from hours to minutes.
Software development workflows
Route code generation, review, testing, and documentation tasks to specialized agents that iterate on a shared codebase or pull request.
Customer support automation
Combine retrieval, sentiment analysis, ticketing, and escalation agents to handle inbound requests and hand off complex cases to humans.
Content marketing pipelines
Orchestrate ideation, research, drafting, SEO optimization, and publishing agents to produce blog posts, social copy, and newsletters at scale.
Pricing plans
Frequently Asked Questions
Discussion
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