It is a framework for orchestrating role-playing, autonomous AI agents, enabling them to work together seamlessly to tackle complex tasks through collaborative intelligence.
It is a framework for orchestrating role-playing, autonomous AI agents, enabling them to work together seamlessly to tackle complex tasks through collaborative intelligence. CrewAI is designed to foster teamwork among AI agents, allowing them to assume roles, share goals, and operate cohesively, much like a well-organized crew. It is a standalone framework built from the ground up, without dependencies on Langchain or other agent frameworks, making it highly adaptable for various applications, such as smart assistant platforms, automated customer service systems, or multi-agent research teams.
CrewAI offers two complementary approaches: Crews and Flows. Crews are teams of AI agents with true autonomy, working together through role-based collaboration to accomplish complex tasks. Flows are event-driven workflows that provide precise control over complex automations, enabling production-ready, scalable solutions. The true power of CrewAI emerges when combining Crews and Flows, allowing users to create sophisticated automation pipelines with granular control and flexibility.
The framework is production-grade, supporting both simple automations and complex real-world applications. It provides deep customization and predictable, consistent results, making it suitable for enterprise-level use. CrewAI Enterprise extends these capabilities, offering tools for planning, building, deploying, monitoring, and integrating agents in complex environments.
CrewAI supports various large language models (LLMs), including local models via tools like Ollama, and provides detailed documentation for configuring agent connections. It is open-source, released under the MIT License, and welcomes community contributions. Anonymous telemetry is used to improve the framework, with no sensitive data collected unless users opt-in by enabling the `share_crew` feature.
To get started, users need Python 3.10-3.13 and can install CrewAI via pip. The framework includes comprehensive documentation, examples, and tutorials to help users build and deploy AI agents effectively. CrewAI demonstrates significant performance advantages over other frameworks like LangGraph and Autogen, offering faster execution and higher evaluation scores in tasks such as QA and coding.
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