Molt lets researchers train trillion-parameter agentic RL with a tiny PyTorch stack
Molt is a PyTorch-native RL framework that makes the agent itself the program, letting you write any Python reward, tool calls or multimodal environment. Its compact stack—Ray, vLLM, NVIDIA AutoModel and FSDP2—scales agentic training to trillion-parameter MoE models without custom infra.