CrewAI is an independent, MIT-licensed Python framework organized around the metaphor of a crew: a set of role-playing agents (researcher, writer, reviewer) that collaborate on tasks, plus a hierarchical process where a manager agent delegates. It is the batteries-included, opinionated end of the comparison, in contrast to the low-level graph style of LangGraph. It is model-agnostic, built on LiteLLM, with OpenAI's GPT-4 as the default model. MCP support is provided through an adapter in the crewai-tools package (MCPServerAdapter) rather than the core library. CrewAI reached 1.0 in October 2025. An optional hosted product, CrewAI AMP, exists for teams that want managed execution; the framework itself runs anywhere. For open-source AI, CrewAI is fully open and model-neutral, and its higher-level abstractions make it a common starting point for teams that want structure out of the box rather than primitives to assemble themselves.
The Stack · Agents · Open source
CrewAI
Independent MIT agent framework; Python, model-agnostic via LiteLLM, role-based "crews" for multi-agent work, MCP via the crewai-tools adapter. 1.0 GA October 2025.
Sources
- CrewAI documentation https://docs.crewai.com/
- crewAI LICENSE (MIT) https://raw.githubusercontent.com/crewAIInc/crewAI/main/LICENSE
- CrewAI MCP overview (adapter) https://docs.crewai.com/en/mcp/overview
- crewAI releases (1.0 line) https://github.com/crewAIInc/crewAI/releases
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