Empowering developers to orchestrate high-performing AI agents with ease and scale.
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Crews of AI agents can take advantage of a specialized planning agent which will create a step-by-step plan for all tasks, and share it with the crew.

AI agents, with reasoning enabled, will reflect on the current task objective, create and refine a structured plan to execute it and inject the plan into the task description.

CrewAI provides AI agents with 100s of open-source tools out of the box to, for example, search the Internet, interact with websites, query vector databases and much more.

CrewAI implements a sophisticated memory-management systems that provides AI agents with access to shared short-term, long-term, entity and contextual memory.

Agentic RAG combines a broad range of knowledge sources, including files, websites and vector databases, with intelligent query rewriting to optimize retrieval.

CrewAI transforms a set of AI agents into crew of AI agents that collaborate via context sharing and delegation to perform complex tasks.
Simply describe an AI agent’s role, goal and backstory to get started. Optionally, you can specify its LLM, enable reasoning and memory, provide it tools and more.

Then describe the tasks to be performed by AI agents by providing clear and concise descriptions of both the task and the expected output.
Finally, bring together AI agents and tasks to create a crew which collaborates to perform tasks, optionally with planning and a manager agent.





Connect with like-minded developers in our forum, contribute to the open-source project on GitHub, and collaborate on exciting AI automation projects. Together, we can accelerate the development of cutting-edge AI solutions.

Manage the full AI agent lifecycle — build, test, deploy, and scale — with a visual editor and ready-to-use tools.
All the power of AMP Cloud, deployed securely on your own infrastructure — on-prem or private VPCs in AWS, Azure, or GCP
An open-source orchestration framework with high-level abstractions and low-level APIs for building complex, agent-driven workflows.