CAMEL-AI is an open-source community and framework focused on finding the scaling laws of agents for data generation, world simulation, and task automation. It provides a multi-agent framework designed to power autonomous, reliable AI workforces. The platform enables the development of multi-agent systems through components like CAMEL, OWL, SETA, and OASIS, and supports various environments (SETA-ENV, CRAB, LOONG), tools (e.g., browser, code execution, email, search), memories, storage backends, data loaders, interpreters, retrievers, and runtimes. CAMEL-AI is used for research into multi-agent systems, investigating principles that shape performance and emergent behavior at scale.