An agentic-first RL framework for research (9k lines).
Molt is a PyTorch-based reinforcement-learning framework for training software agents, including multimodal and multi-turn agents. It is intended for research using Ray for orchestration, vLLM for model rollouts, and NVIDIA AutoModel with FSDP2 for training.
Latest release v0.1.7 — Release v0.1.7 · 28 Aug 2026
These files are NVIDIA-NeMo/labs-molt's own configuration. They tell Claude Code, Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.
AGENTS.md A 324 tok CLAUDE.md C 74 tok .claude/skills/simplicity-first/SKILL.md A 51 tok