CrewAI
Role-based multi-agent orchestration
About
Framework for building multi-agent systems where each agent has a defined role, backstory, and tools. Simple and pythonic.
Choose CrewAI when…
- •You need role-based multi-agent collaboration
- •Your workflow maps to a team with clear roles
- •You want quick setup with less boilerplate
Builder Slot
The framework that structures how your AI thinks, uses tools, and coordinates agents
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crewaicrewai-toolsIntegrates with (6)
CrewAI is built on LangChain's tool and model abstractions, using its LLM connectors and tool interfaces as underlying primitives.
→ CrewAI agents inherit LangChain's broad model and tool compatibility — every LangChain integration is available to the crew.
CrewAI exports OpenTelemetry traces that Langfuse ingests, capturing every agent step, tool call, and LLM invocation across the crew.
→ Full multi-agent observability — which agent did what, at what cost, in what order, with what output.
CrewAI routes LLM calls through LiteLLM, making any model accessible to any agent in the crew via a unified API.
→ Mix models across agents in the same crew — one agent on Claude, another on GPT-4o — through one LiteLLM config change.
CrewAI connects to OpenAI's API via its LangChain model connector for agent reasoning and tool calling.
→ GPT-4o-powered CrewAI crews with native function calling and parallel agent task execution.
CrewAI uses Anthropic's API via its Claude connector for agent reasoning with strong instruction following.
→ Claude-powered CrewAI agents with superior long-context reasoning for complex multi-step crew tasks.
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