AI Frameworks

CrewAI

Multi-agent orchestration framework. Define agents with roles, goals, and tools, then assign them tasks in a crew. Python-based. Great for complex workflows.

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CrewAI is a Python framework for orchestrating multiple AI agents that collaborate on complex tasks. You define agents with specific roles (researcher, writer, reviewer), assign them goals and tools, then group them into a crew with a defined process (sequential or hierarchical). Each agent focuses on what it does best and passes results to the next. It supports tool integration, memory across interactions, and delegation between agents. CrewAI is more opinionated than LangGraph but significantly easier to get started with. For workflows like research-then-write or plan-then-execute, the role-based mental model maps naturally to how you would organize a human team.

ai framework agents multi-agent python orchestration

CrewAI at a glance

Last verified October 26, 2026

Pricing: CrewAI framework - free and open source (MIT)
Basic - Free: visual editor and AI copilot, GitHub integration, 50 workflow executions/month
Enterprise - custom pricing: SSO, RBAC, PII redaction, deploy on CrewAI cloud, your own VPC, or your own infrastructure
Install: curl -LsSf https://astral.sh/uv/install.sh | sh
uv tool install crewai
Models: Set MODEL=provider/model-id in .env (for example openai/gpt-5.6-terra), or pass an LLM to each agent. OpenAI, Anthropic, Google Gemini, Azure, AWS Bedrock and Snowflake Cortex use native SDK integrations. Every other provider, including local models through Ollama, runs through LiteLLM via crewai[litellm].
Recent changes: Oct 231.15.29 adds LiteLLM-compatible kwargs, lets crewai eval run the crew itself and export evaluations as files, and promotes AgentExecutor out of experimental status.
Oct 141.15.28 adds a crewai eval command that reports where a stopped model broke, uses the LiteLLM catalog for context windows, and allows image input files for GPT-6 Sol, Luna, and Astra.
Oct 91.15.27 adds DeepInfra as an OpenAI-compatible provider and per-run cost and time tracking in crewai eval --models.
Oct 71.15.24 adds crewai eval --models with llm_overlay to swap models as well as roles, plus Oracle integrations and an experimental job lifecycle and runner.
Sep 281.15.23 adds native Gemini 3.8 Flash support and lets crewai eval evaluate the last traced run.

Sources: crewAIInc/crewAI README, crewAI releases, CrewAI installation docs, CrewAI LLMs docs, CrewAI pricing

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Get started with CrewAI

Multi-agent orchestration framework. Define agents with roles, goals, and tools, then assign them tasks in a crew. Python-based. Great for complex workflows.

Try CrewAI

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