Molt: An Agent-Based Reinforcement Learning Framework (GitHub Repo)

·2026.07.28 09:00

Key point

Molt is a PyTorch-based reinforcement learning framework that treats the agent itself as a program to support training of large-scale models.

Details

Molt is a PyTorch-native framework that treats the agent itself as a single program. It supports custom Python rewards, tool use, multimodal environments, and LLM judge functionality.

It also features a compact stack combining Ray, vLLM, NVIDIA AutoModel, and FSDP2, giving it the capability to scale training up to MoE (Mixture-of-Experts) models with trillions of parameters.

llm pytorch moe vllm reinforcement-learning ray molt

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