ReasoningBank: Enabling agents to learn from experience

ReasoningBank is a novel agent memory framework that uses successful and failed experiences to distill generalizable reasoning strategies, enabling agents to learn continuously after deployment. It also introduces memory-aware test-time scaling (MaTTS) to leverage exploration for better learning.

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ReasoningBank is a novel agent memory framework that uses successful and failed experiences to distill generalizable reasoning strategies, enabling an agent to continuously learn from experience after deployment.
research.google

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Announced: 21 Apr 2026 16:42 UTC
Detected: 03 Aug 2026 21:12 UTC (+104d after)

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