agent-lightning 🔥 Trending

Agent-lightning addresses the growing need for efficient AI agent training, enabling engineering teams to build and deploy intelligent systems more effectively. Backend/API teams, ML/AI teams, and engineering managers will find it particularly beneficial, as it streamlines the integration of reinforcement learning into their workflows. With a maturity level that indicates it is production-ready, this open source tool for engineering teams has demonstrated impressive growth, gaining 5,563 stars (70.8% growth) in just 85 days. However, it may not be the right choice for teams requiring extensive customisation or those working on highly specialised AI tasks that demand tailored solutions.

This is a strong choice when teams need a robust and scalable solution for training AI agents efficiently. Teams should consider alternatives if they require a highly customisable framework or if their projects involve unique AI methodologies not supported by this tool.

Agent-lightning is ideal for backend/API teams and ML/AI teams looking to implement AI agents in their products. It typically fits well within systems that require intelligent automation, such as customer support bots, recommendation engines, and interactive applications.

Latest commit: 2026-02-03. Over the past 86 days, this repository gained 5.6k stars (+70.8% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.