ReasoningBank provides a structured framework for agents to store and retrieve past experiences. Google developed this system to reduce repetitive errors by allowing models to learn from previous failures. It transforms raw trajectories into reusable knowledge. This approach enables LLMs to refine complex problem-solving strategies without requiring constant fine-tuning of the base model.