Agent Lightning introduces a revolutionary approach to optimizing AI agents by fully decoupling Reinforcement Learning (RL) training from agent execution. We dive into how this framework allows developers to apply powerful RL techniques—like the hierarchical LightningRL algorithm—to any existing agent, regardless of its underlying framework, with almost zero code modifications. Tune in to learn how this standardized approach is unlocking continuous performance gains across complex real-world tasks like multi-agent text-to-SQL and Retrieval-Augmented Generation (RAG).