agent-lightning

Agent-Lightning addresses the need for efficient AI agent training, allowing ML and AI teams to streamline their workflows. This production-ready solution is suitable for engineers looking to implement reinforcement learning and MLOps practices effectively. With a remarkable growth trend of 87.2% over 96 days, it has quickly gained traction, indicating strong community support and ongoing development. However, it may not be the right choice for teams requiring extensive customisation or those focused on simpler AI applications, as its capabilities are tailored for more complex agent-based scenarios.

This is a strong choice when teams need a robust open source tool for engineering teams focused on developing sophisticated AI agents. Teams should consider alternatives if they require a simpler solution or if their projects do not involve reinforcement learning.

Roles such as machine learning engineers and AI researchers will find Agent-Lightning particularly useful. It is commonly integrated into products and systems that involve autonomous decision-making, such as chatbots and intelligent automation frameworks.

Latest commit: 2026-02-11. Over the past 97 days, this repository gained 6.9k stars (+87.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.