CAMEL is an open-source community dedicated to finding the scaling laws of agents. It implements and supports various types of agents, tasks, prompts, models, and simulated environments for studying AI agents at scale. The framework facilitates research into agent behaviors, capabilities, and multi-agent interactions using large language models.