SEDM: Selective Self-Evolving Distributed Memory for Agents

SEDM introduces a framework that makes agent memory active and self-optimizing instead of passive storage. It uses verifiable testing to decide which memories are useful, a smart controller to manage them during use, and a diffusion process to allow knowledge transfer between different tasks. This results in better reasoning performance with fewer tokens.

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