NVIDIA open-sources Molt, a PyTorch-native framework for agentic RL
nvidia · hf · 2026-07-27
- NVIDIA introduces Molt, a PyTorch-native training framework for agentic reinforcement learning.
- The framework is designed to keep the codebase compact and easy to reason about, so researchers—and AI coding assistants—can trace and modify the full algorithm flow end to end.
- It uses a single asynchronous loop to train multimodal and mixture-of-experts policies, while keeping tokens, policy versions, and model semantics consistent.
- NVIDIA says Molt is statistically comparable to a state-of-the-art Megatron-based stack under a matched fully asynchronous protocol.
- The project is open source, with recipes and containers published on GitHub.
Related event: NVIDIA Open-Sources Molt Framework for Agentic Reinforcement Learning(3 posts)→
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