Agent Lightning: One learning system that makes all agents evolve

Agent Lightning is an agent optimization framework that enables agents to learn from their experiences through reinforcement learning and other methods. By treating agents as first-class citizens, optimization becomes automatic for any agent with minimal code changes. GitHub Repo: https://github.com/microsoft/agent-lightning Tech Report: https://arxiv.org/abs/2508.03680 Documentation: https://microsoft.github.io/agent-lightning This session aired on March 3, 2026, at Microsoft Research Forum, Season 2 Episode 3. Register for the series to learn about future episodes: https://events.microsoft.com/flow/ms/researchforum/register/page/microsoftresearchforumreg/?OCID=msr_researchforum_YTDescription Explore all previous episodes: https://aka.ms/researchforumYTplaylist