Agent Memory Management

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56 papers in the last four weeks, up 229% on the four weeks before. 0.6% of all new papers.

Jul 13Week of Sep 28

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MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing
May 16, 2026Han Chen, Zining Zhang, Wenqi Pei +6LLM Agent Memory Hierarchical Memory
National University of Singapore · Singapore, Singapore · Zero Gravity Labs +1
RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents
May 15, 2026Zijie Dai, Shiyuan Deng, Sheng Guan +4Persistent Memory for Language Models Long-Horizon LLM Agents
Department of Computer Science and Engineering, The Chinese University of Hong Kong · Huawei Cloud · School of Computer Science, Beijing University of Posts and Telecommunications +2
DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory
May 15, 2026Wentao Qiu, Haotian Hu, Fanyi Wang +2LLM Agent Memory Persistent Memory for Language Models
1StepOS · 2Xiamen University · 3ShanghaiTech University
H-Mem: A Novel Memory Mechanism for Evolving and Retrieving Agent Memory via a Hybrid Structure
May 15, 2026Jiawei Yu, Yixiang Fang, Xilin Liu +1Agent Memory LLM Agent Memory
The Chinese University of Hong Kong, Shenzhen · Huawei Cloud Computing Technologies CO., LTD.
BOOKMARKS: Efficient Active Storyline Memory for Role-playing
May 13, 2026Letian Peng, Ziche Liu, Yiming Huang +4LLM Agent Memory Conversational Agents
University of California, San Diego
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
May 13, 2026Jiaqi Liu, Xinyu Ye, Peng Xia +4LLM Agent Memory LLM Memory
UNC-Chapel Hill · UC Berkeley · UCSC
Evaluating Memory Condensation Strategies for Coding Agents in Data-Driven Scientific Discovery
May 13, 2026Renuka Chintalapati, Sid Raskar, Anurag Acharya +3AI Coding Agents AI Agent Benchmarks
Pacific Northwest National Laboratory · National Laboratory of the Rockies
CogniFold: Always-On Proactive Memory via Cognitive Folding
May 13, 2026Suli Wang, Yiqun Duan, Yu Deng +5Cognitive Architectures for AI Agents Continual Learning
1OpenNorve · University of Cambridge · 3NVIDIA +1
Useful Memories Become Faulty When Continuously Updated by LLMs
May 13, 2026Dylan Zhang, Yanshan Lin, Zhengkun Wu +4AI Agent Reliability Persistent Memory for Language Models
University of Illinois Urbana-Champaign · IIIS, Tsinghua University
LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues
May 12, 2026Di Wu, Zixiang Ji, Asmi Kawatkar +4Computer-Use Agent Benchmarks Retrieval-Augmented Generation
University of California, Los Angeles
$δ$ -mem: Efficient Online Memory for Large Language Models
May 12, 2026Jingdi Lei, Di Zhang, Junxian Li +7Memory-Augmented Language Models Memorization in Language Models
Nanyang Technological University · Mind Lab · Fudan University +3
PRISM: Pareto-Efficient Retrieval over Intent-Aware Structured Memory for Long-Horizon Agents
May 12, 2026Jingyi Peng, Zhongwei Wan, Weiting Liu +1Graph-Based Retrieval Information Retrieval
Singapore Management University · The Ohio State University · Fudan University
SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory
May 12, 2026Juntong Wang, Haoyue Zhao, guanghui Pan +4Agent Memory Graph Retrieval-Augmented Generation
Institute for Artificial Intelligence, Peking University · School of Intelligence Science and Technology, Peking University · School of Computer Science and Technology, Beijing Institute of Technology
Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
May 11, 2026Mingxi Zou, Zhihan Guo, Langzhang Liang +6Rate-Distortion Theory Long-Term Conversational Memory
Fudan University · The Chinese University of Hong Kong · Meta AI +3
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs
May 11, 2026Ruiyi Yang, Zechen Li, Hao Xue +2Agent Memory Continual Learning for LLM Agents
University of New South Wales · The Hong Kong University of Science and Technology (Guangzhou) · Mohamed Bin Zayed University of Artificial Intelligence
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
May 11, 2026Xijun Wang, Zhaoyang Liu, Chenyuan Feng +36G Networks Wireless Communications
Sun Yat-sen University, China · University of Exeter, U.K. · Zhejiang University, China +2
PREPING: Building Agent Memory without Tasks
May 11, 2026Yumin Choi, Sangwoo Park, Minki Kang +2Agent Memory Synthetic Data Generation
KAIST
HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution
May 11, 2026Dongming Jiang, Yi Li, Guanpeng Li +2Agent Memory Graph-Based Agent Memory
Department of Computer Science, The University of Texas at Dallas · Department of Electrical and Computer Engineering, University of Florida · University of California, Davis
Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
May 10, 2026Santhosh Kumar RavindranAgent Memory Persistent Memory for Language Models
Microsoft Corporation, Redmond, WA, USA
MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents
May 10, 2026Yining Chen, Jihao Zhao, Bo Tang +5Agent Memory Privacy-Preserving ML
1MemTensor (Shanghai) Technology Co., Ltd. · 3Tongji University · 2HONOR Device Co., Ltd.
EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium
May 10, 2026Yuqiao Meng, Luoxi Tang, Sakshi Sunil Narvekar +4Multi-Agent Debate Agent Memory Poisoning
Binghamton University, State University of New York, Binghamton, NY, USA · University of Iowa, Iowa City, IA, USA
Human-Inspired Memory Architecture for LLM Agents
May 8, 2026Doga Kerestecioglu, Alexei Robsky, Clemens Vasters +2Memorization in Language Models LLM Agent Memory
Microsoft
MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs
May 8, 2026Junwei Liao, Haoting Shi, Ruiwen Zhou +9LLM Agent Memory Q-Learning
Shanghai Jiao Tong University · Shanghai Innovation Institute · National University of Singapore +3
MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents
May 8, 2026Xin Ding, Xinrui Wang, Yifan Yang +9Embodied AI Memory-Augmented Agents
University of Science and Technology of China · Huazhong University of Science and Technology · Microsoft Research +2
MEMOREPAIR: Barrier-First Cascade Repair in Agentic Memory
May 8, 2026Yang Zhao, Chengxiao Dai, Mengying Kou +1Agent Memory Management
STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
May 7, 2026Hanxiang Chao, Yihan Bai, Rui Sheng +2Agent Memory LLM Agent Evaluation
Wuhan University1, Wuhan, China1 · The Hong Kong University of Science and Technology3, Hong Kong, China23 · The Chinese University of Hong Kong2, Hong Kong, China23
Storage Is Not Memory: A Retrieval-Centered Architecture for Agent Recall
May 6, 2026Joshua Adler, Guy ZehaviAgent Memory LLM Agent Memory
Sauron Labs
Governed Collaborative Memory as Artificial Selection in LLM-Based Multi-Agent Systems
May 5, 2026Diego F. Cuadros, Abdoul-Aziz Maiga, Helen Meskhidze +1Multi-Agent LLM Systems LLM Agent Memory
Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA · Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA · Center for Humanities and Technology (CHaT), University of Cincinnati, Cincinnati, OH, USA +2
ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting
May 5, 2026Jiale Chang, Yuxiang RenMultimodal Memory LLM Agent Memory
Nanjing Agricultural University · Nanjing University
MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents
May 5, 2026Bronislav Sidik, Lior RokachLLM Agent Memory Hierarchical Memory
Institute for Applied AI Research · Faculty of Computer and Information Science · Ben-Gurion University of the Negev, Beer Sheva, Israel

May 16, 2026, cs.DBJ/K move · Enter open · S save

MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing

Han Chen, Zining Zhang, Wenqi Pei, Bingsheng He+5

National University of Singapore · Singapore, Singapore · Zero Gravity Labs+1

LLM Agent Memory Hierarchical Memory Long-Term Conversational Memory Agent Memory Management

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Memory is a fundamental component for enabling long-context LLM agents, supporting persistent state across interactions through a continuous serve-and-update lifecycle. Despite substantial prior work, existing systems suffer from significant maintenance overhead due to two key limitations: coarse-grained state management and inherently sequential update pipelines. In particular, updates are often tightly coupled with LLM inference and require full-state rewrites, leading to poor scalability and growing latency as memory accumulates. To address these challenges, we present MemForest, a memory framework that reformulates agent memory as a write-efficient temporal data management problem. MemForest breaks the sequential bottleneck via parallel chunk extraction, decoupling memory construction into concurrent, independent operations. To further eliminate coarse-grained maintenance, we introduce MemTree, a hierarchical temporal index that organizes memory as time-ordered trees rather than flat global summaries. This design replaces full-state rewrites with localized per-node updates, reducing maintenance cost to the affected tree paths while naturally preserving temporally evolving states. We evaluate MemForest on two long-context memory benchmarks, LongMemEval-S and LoCoMo. On LongMemEval-S, MemForest achieves the best overall performance among stateful baselines, reaching 79.8% pass@1 accuracy while sustaining a memory construction throughput approximately 6x higher than state-of-the-art approaches including EverMemOS.

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Latest papers 308