NVIDIA releases Molt, a PyTorch-native agentic RL framework

NVIDIA open-sourced Molt, a reinforcement learning framework for training AI agents, built with about 8,600 lines of code combining Ray, vLLM, and NeMo AutoModel into a single asynchronous training loop. Agent code stays plain Python with token-exact trajectories, and NVIDIA reports throughput comparable to Megatron-based training stacks.

Why it matters: By making agentic RL training dramatically leaner and framework-agnostic, Molt could lower the barrier for smaller teams to do the kind of RL-based agent training previously reserved for labs with large infrastructure teams.