cs.CLJul 23, 2026

MemTools: A Unified Research Framework for Interoperable Agent Memory

Authors: Chengfeng ZhaoJinhui ChenSirui LiangShizhu HeYequan WangJun ZhaoKang Liu

Organizations: Institute of Automation, CAS · University of Chinese Academy of Sciences · Zhongguancun Institute of Artificial Intelligence · Beijing Academy of Artificial Intelligence

Abstract

While memory systems are essential for agent architectures, pervasive architectural fragmentation restricts systematic research. Existing implementations typically couple different stages of the memory lifecycle, entangle evaluation logic with specific datasets, and provide limited support for the management of heterogeneous memory types. We introduce MemTools, an interoperability research framework that decouples memory system components from their underlying deployment environments. MemTools standardizes the memory lifecycle through declarative data contracts, enabling the interchangeable assembly of components across different systems. It orthogonally separates benchmark datasets from execution protocols to facilitate controlled assessments. Furthermore, MemTools provides a unified computational interface for coordinating symbolic, neural, and multimodal memory representations within a shared runtime. Empirical evaluations on cross-system component integration, evaluation protocol reconfiguration, and heterogeneous memory coordination demonstrate that MemTools enables systematic isolation and analysis of memory design variables. These findings suggest that MemTools provides a practical and extensible infrastructure for advancing principled research on agent memory.

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