TLDR AI · ENGINEERING & RESEARCH

REASONINGBANK: SCALING AGENT SELF-EVOLVING WITH REASONING MEMORY

arxiv.org1 min read

Summary from the TLDR AI newsletter

ReasoningBank is a novel memory framework that distills generalizable reasoning strategies from an agent's self-judged successful and failed experiences. Agents can store and retrieve memories from ReasoningBank to inform their decisions. They can integrate new learnings and become more capable over time. The better memory enables more effective scaling. ReasoningBank consistently outperforms existing memory mechanisms that store raw trajectories or only successful task routines across web browsing and software engineering benchmarks.