What is CrewAI?
CrewAI is an open-source Python framework with high-level abstractions and low-level APIs for building production-ready multi-agent workflows. It was started in 2023 by João Moura and is released under the MIT License. It requires Python 3.10 or newer, installs with pip, and by default sends agent requests to the OpenAI API, although it can be pointed at other models, including a local model through Ollama.
The framework has two main building blocks. Crews optimize for autonomy and collaborative intelligence with role-based AI agents, while Flows provide event-driven automations that combine precise workflow control, single LLM calls and native support for Crews. Agents are configured with a role, goal, backstory, tools, LLM, memory and guardrails, and tasks can return structured output.
CrewAI Inc. also sells a commercial layer around the framework. CrewAI AMP Suite adds managed deployment, observability, governance, security and enterprise support, and the Crew Control Plane can be tried for free. The pricing page lists a free tier with a visual editor, AI copilot and 50 workflow executions a month. The Enterprise tier adds SSO, RBAC, workload identity, PII redaction and policies, and can be deployed on CrewAI cloud, your own VPC or your own infrastructure. Platform features include real-time tracing of every LLM call, tool call and memory read, and a no-code visual editor that can export to Python.
Key capabilities
- Crews Role-based AI agents that collaborate on tasks.
- Flows Event-driven workflow control that can include Crews.
- Free Basic tier Visual editor, AI copilot, GitHub integration and 50 workflow executions a month.
- Enterprise governance SSO, RBAC, workload identity, PII redaction and policies.
- Deployment choice CrewAI cloud, your own VPC or your own infrastructure.
Where CrewAI fits
- Multi-agent orchestration Crews of collaborating agents.
- Workflow control Event-driven Flows.
- Visual building A visual editor and AI copilot in the platform.
- Governance SSO, RBAC and PII redaction in Enterprise.
- Deployment Managed cloud, private VPC or customer infrastructure.
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