Camel-AI Team

We are finding the scaling law of agent

🐫 CAMEL is an open-source library designed for the study of autonomous and communicative agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

We are always looking for more contributors and collaborators.
Contact us to join forces via Slack or Discord.

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Our Advisors

King Abdullah University of Science and Technology

Rising star professor in the Middle East region
He was Awarded the Shoman Arab Researcher Award for the topic of Machine Learning and Big Data
Deputy Director of AI Initiative at Kaust and now leading a bigger initiative at Kaust on GenAI

University of Oxford

2019: Fellow of the Royal Academy of Engineering (FREng) in 2019
2021: Fellow of the Royal Society (FRS) for contributions to computer vision
2021: Turing AI world leading researcher fellow

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