MemTools: A Unified Research Framework for Interoperable Agent Memory
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 35 of its 45 references that are in the map. First posted on arXiv 23 Jul 2026.
Builds on
35 of 45 references.
References · 35
- 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,373
- 2023MemGPT: Towards LLMs as Operating Systemscited by 1,389
- 2022WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agentscited by 1,251
- 2020ALFWorld: Aligning Text and Embodied Environments for Interactive Learningcited by 1,205
- 2025A-MEM: Agentic Memory for LLM Agentscited by 1,063
- 2024Evaluating Very Long-Term Conversational Memory of LLM Agentscited by 830
- 2019ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Taskscited by 783
- 2024LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memorycited by 707
- 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 634
- 2025Zep: A Temporal Knowledge Graph Architecture for Agent Memorycited by 400
- 2022ScienceWorld: Is your Agent Smarter than a 5th Grader?cited by 327
- 2025Memory in the Age of AI Agentscited by 303
23 more
- 2023MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questionscited by 300
- 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 267
- 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystackcited by 215
- 2023Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Controlcited by 187
- 2025LightMem: Lightweight and Efficient Memory-Augmented Generationcited by 180
- 2025MIRIX: Multi-Agent Memory System for LLM-Based Agentscited by 173
- 2026SimpleMem: Efficient Lifelong Memory for LLM Agentscited by 149
- 2025MemGen: Weaving Generative Latent Memory for Self-Evolving Agentscited by 109
- 2025Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolutioncited by 73
- 2026Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agentscited by 54
- 2026A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agentscited by 44
- 2025LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automationcited by 40
- 2025Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancementcited by 25
- 2024Self-Updatable Large Language Models by Integrating Context into Model Parameterscited by 21
- 2026From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanismscited by 21
- 2026Useful Memories Become Faulty When Continuously Updated by LLMscited by 20
- 2026StructMem: Structured Memory for Long-Horizon Behavior in LLMscited by 18
- 2025MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agentscited by 17
- 2026EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspectivecited by 17
- 2026Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memorycited by 14
- 2026LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agentscited by 10
- 2026MemFactory: Unified Inference & Training Framework for Agent Memorycited by 4
- 2026Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steeringcited by 3
Built on by
Not cited yet.