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Agent Lightning connects existing agent harnesses to reinforcement learning
Microsoft Research presents a 3,500-line framework for training agents with reinforcement learning while keeping their existing tools, context and decision-making frameworks. That approach could lower the cost of improving agents without rebuilding their harnesses.
- What
- Agent Lightning v1.0 is an open-source reinforcement-learning framework that trains agents through the same harness used in deployment.
- How
- Agents reach the model through its LLM proxy, leaving existing harness code unchanged; agents run as Kubernetes jobs.
- Why it matters
- Using the real harness during training avoids reimplementation and supports rollouts on self-managed, cloud, or local Kubernetes.
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