AgentOS is a platform designed to support the development and deployment of reinforcement learning (RL) agents. It provides tools and infrastructure that streamline the process of building, testing, and scaling RL models. With AgentOS, users can manage their code, experiments, and data more efficiently, allowing for faster iteration and optimization of RL algorithms. The platform is built to integrate seamlessly with existing machine learning frameworks, offering flexibility and ease of use for developers and researchers in the field of artificial intelligence.