CAMEL-AICAMEL-AI
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We are Finding
the Scaling Laws of Agents

CAMEL-AI is an open-source community for finding the scaling laws of agents for data generation, world simulation, and task automation.

Our Team

Meet the team behind CAMEL-AI

Founder

Guohao Li

Guohao Li

Founder and CEO @ CAMEL-AI & Eigent.AI

Open Source

  • Creator of CAMEL-AI.org, DeepGCNs.org
  • Core Contributor of PyG.org

Academia

  • Postdoc at Oxford
  • PhD at KAUST
  • Publications at NeurIPS, ICML, ICLR, ICCV, CVPR, RSS, 3DV, and TPAMI

Industry

  • Early member at Kumo.AI (Sequoia backed)
  • Research at Intel ISL Labs

Advisors

Bernard Ghanem

Bernard Ghanem

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.
Philip Torr

Philip Torr

University of Oxford

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

Finding the Scaling Laws of Agents.

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CAMEL-AICAMEL-AI

Building the world's first and best multi-agent framework to power autonomous, reliable AI workforces.

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Product

Open Source CoworkEnvironments for Agents

Research

CAMELSETAOWLOASISCRABLOONGAGENT-TRUSTEMOS

Community

Community HubAmbassadorMCP

Framework

Information RetrievalSoftware EngineeringMultimodalEmbodied AISocial SimulationDomain-specific

Resources

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