CrewAI
Free tierThe open platform that accelerates enterprise agent adoption at scale
Free tier available·All audiences·Powered by Multi-LLM (model-agnostic)·API available·Open source
Key strengths
Multi-agent orchestration frameworkNo-code visual editor with Python exportEnterprise governance (RBAC, SSO, PII redaction, audit trails)Human-in-the-loop approval gatesReal-time tracing of every LLM and tool callUsed by 65% of the Fortune 500Open source (MIT License) with ~60k GitHub starsSelf-hostable on own VPC or infrastructure
Free tier + paid plans
United States
Founded 2023
Self-hostable
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Recent changes
- Plans updated: Free tier includes visual editor, AI copilot, GitHub integration, and 50 workflow executions/month. Enterprise tier is custom-priced and includes governance (SSO, RBAC, PII redaction), dedicated VPC deployment, onboarding, and forward-deployed engineering.
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Technical Use Cases
CrewAI's multi-agent orchestration framework and enterprise runtime are well-suited for the following developer and engineering scenarios:
- Agentic pipeline automation: Orchestrate crews of specialized agents — each with defined roles, tools, and goals — to automate complex, multi-step business processes that require coordination across systems
- LLM application observability: Instrument agent workflows with real-time tracing of every LLM and tool call via integrations with Arize, Galileo, DataDog, and Patronus for debugging, evaluation, and performance monitoring
- Human-in-the-loop systems: Build workflows with configurable approval gates that pause execution and route decisions to human reviewers before proceeding — critical for high-stakes or regulated processes
- Enterprise AI governance: Implement RBAC, SSO (MS Entra, Okta), PII redaction, and audit trails to meet enterprise security and compliance requirements for AI systems
- Hybrid no-code/code development: Prototype workflows visually and export to Python for production-grade customization, version control, and CI/CD integration
- Self-hosted AI infrastructure: Deploy CrewAI on your own VPC or on-premises infrastructure to meet data residency, sovereignty, or security requirements
- API-driven agent integration: Use the native API to trigger and manage agent workflows from existing internal applications, data pipelines, or orchestration systems
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