Agent Lightning v1.0: Towards Harnessed Agentic RL

Researchers have introduced Agent Lightning v1.0, a new architecture designed to separate agent control logic from the harnesses that manage tool use and context. By decoupling these components, the system enables the application of reinforcement learning to a wider range of agentic frameworks. This approach allows developers to integrate reinforcement learning techniques more effectively across various agent systems by standardizing how agents interact with their operating environments.