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CrewAI

Agent framework by CrewAI, Inc.

ActiveOpen source · MITVerified Oct 22, 2026
Website Docs Source

Open-source Python framework for orchestrating role-based multi-agent 'crews' and event-driven Flows, with an optional hosted platform for building and running them.

Key facts

Type
Agent framework · Library
Pricing
Free tier available
Free tier
The CrewAI framework is free and MIT-licensed. The hosted CrewAI platform has a free Basic plan with 50 workflow executions/month.
License
MIT
Models
OpenAI, Anthropic, Google Gemini / Vertex AI, Azure, AWS Bedrock, Snowflake Cortex, Local models via Ollama, Many more via LiteLLM (optional extra)
Languages
Python
Platforms
macOS, Windows, Linux
Bring your own API key
Yes
Local models
Yes
MCP support
Yes
Self-hostable
Yes
GitHub stars
59,981
Last commit
Oct 22, 2026

CrewAI pricing

Basic

$0/month

50 workflow executions/month; visual editor, AI copilot, GitHub integration, tracing

Enterprise

Custom

Custom pricing; SSO, RBAC, dedicated VPC, additional executions

Best for

  • Multi-agent workflows where agents have distinct roles and tasks
  • Teams that want a high-level abstraction rather than a low-level graph runtime
  • Organizations that want a managed console for deploying and monitoring agents

Pros

  • High-level Agents/Tasks/Crews model is quick to start with
  • Flows add stateful, resumable orchestration alongside autonomous crews
  • Native SDK integrations for major providers, with LiteLLM for the long tail
  • MCP servers can be used as tools

Cons

  • Python only
  • Hosted platform pricing beyond the free tier is not published
  • High-level abstractions give less fine-grained control over agent loops than lower-level frameworks

How CrewAI compares

CrewAI vs LangGraph

Pick LangGraph when you need explicit, low-level control over every step: shared state, branching and loops, with checkpointing and human interrupts available at any node.

Updated Oct 22, 2026

Sources (6)