ReasoningBank provides a structured dataset for AI agents to learn from past experiences. This framework allows models to refine their decision-making by analyzing successful and failed trajectories. Google AI Research aims to reduce repetitive errors in complex tasks. Practitioners can now implement more reliable agentic workflows through improved experiential learning and iterative refinement.