CCrewAI

CrewAI’s open-source framework is free, and the company says it is used at more than 60% of Fortune 500 companies. It lets developers build a crew of AI agents, each with a role such as researcher, writer or reviewer, that divide a job between them and pass work along until it is done.

The commercial side, the Agent Management Platform (AMP), adds hosting, monitoring and controls for companies running those crews in production.

How It Works

CrewAI is a standalone Python framework with its own building blocks and no dependency on LangChain. Developers define agents in YAML, code or both, giving each a role, goal, model, tools and knowledge sources. There are two ways to organize work. Crews let agents collaborate and make decisions with some freedom. Flows give exact, event-driven control over each step and the state passed between them. Most real projects mix the two, using a Flow as the backbone and dropping in Crews where judgment is needed.

Agents can plan long tasks and recover from errors. A memory layer stores what agents learn, and checkpointing records state at each step so a run can be replayed or forked with new inputs. Tools connect through MCP, agents can talk to other agents through the A2A protocol, and code runs in E2B or Daytona sandboxes. Async execution and streaming are built in.

Pricing

The framework is free under the MIT license. CrewAI’s hosted free tier allows 50 workflow executions and two automations a month. Enterprise pricing is custom and sized to the workload, with overage options. It adds SSO, role-based access, PII redaction, enterprise connectors, dedicated support and a 45-day onboarding program, and it can run in CrewAI’s cloud, a private VPC or on your own servers. Model costs are paid to your LLM provider.

What to Watch Out For

CrewAI is a developer framework, so it needs Python skills to use well. Multi-agent designs call the model many times, which raises costs and makes failures harder to trace than in a single-agent setup. The free hosted tier is small, and enterprise prices are not published. The company’s own adoption figures vary across its pages, with both 63% and 65% of the Fortune 500 cited, so treat them as marketing numbers. The pricing page lists no specific compliance certification and links to a trust center.