ReasoningBank: Enabling agents to learn from experience

Google Research · 2 months ago

Researchers introduced ReasoningBank, a memory framework that enables AI agents to learn from both successful and failed experiences during deployment. On WebArena and SWE-Bench-Verified benchmarks, ReasoningBank improved success rates by 8.3% and 4.6% respectively while reducing task execution steps by nearly 3 on the latter benchmark. The framework allows agents to build increasingly sophisticated strategic memories over time rather than repeating mistakes or discarding insights from failures.