RAGEN provides a flexible RL framework focused on training reasoning agents powered by large language models. It includes diagnostic tools to understand agent failure modes and identify issues like reasoning collapse during agent RL training. The framework offers lightweight interventions to stabilize training and improve agent performance in dynamic environments.