Agents2d ago
Google Research Unveils ReasoningBank For Agent Learning
ReasoningBank provides a structured dataset of trajectories to help AI agents learn from past experiences. The framework focuses on improving multi-step reasoning by treating successful task completions as reusable memory. This reduces the need for repetitive prompting. Practitioners can now implement more reliable agentic workflows by leveraging these curated experience logs for fine-tuning.