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.

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MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision
Jun 15, 2026Ye Jin, Yangyang Xu, Jun Zhu +1LLM Personalization Hierarchical Memory
Beijing University of Posts and Telecommunications · Tsinghua University · Shanghai Jiao Tong University
User as Code: Executable Memory for Personalized Agents
Jun 15, 2026Bojie LiPersistent Memory for Language Models Knowledge Representation
Pine AI
HiMPO: Hindsight-Informed Memory Policy Optimization for Less-Entangled Credit in Long-Horizon Agents
Jun 15, 2026Jiangze Yan, Yi Shen, Wenjing Zhang +5Credit Assignment in RL Long-Horizon Agent Tasks
Unicom Data Intelligence, China Unicom · Data Science & Artificial Intelligence Research Institute, China Unicom
Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations
Jun 14, 2026Dongxu YangMemory Agent Benchmarks Memory-Augmented Agents
DeepLethe
T-Mem: Memory That Anticipates, Not Archives
Jun 13, 2026Weidong Guo, Dakai Wang, Zixuan Wang +2Persistent Memory for Language Models LLM Memory
1Tencent · 2The Hong Kong University of Science and Technology (Guangzhou)
GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge
Jun 12, 2026Pavan C Shekar, Abhishek H S, Aswanth KrishnanLLM Agent Memory Persistent Memory for Language Models
QpiAI, Bengaluru, India
Naive Visual Memory is Not Enough: A Failure-Mode Study of GUI Agents
Jun 12, 2026Seoyoung Choi, Minseok Ko, Hyunseok Lee +4Agent Failure Analysis GUI Agents
1Seoul National University · 2POSTECH · 3KAIST +1
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
Jun 11, 2026Jundong Xu, Qingchuan Li, Jiaying Wu +11Benchmark Design Long-Horizon Agent Evaluation
National University of Singapore · Singapore Management University · University of Washington +5
MemRefine: LLM-Guided Compression for Long-Term Agent Memory
Jun 11, 2026Minjae Kim, Jinheon Baek, Soyeong Jeong +1Persistent Memory for Language Models Long-Term Conversational Memory
Korea University · KAIST
Learning What to Remember: A Cognitively Grounded Multi-Factor Value Model for Agentic Memory
Jun 11, 2026Zhibao Chen, Qian ChengLLM Agent Memory Persistent Memory for Language Models
Huatai Securities, Nanjing, China
PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding Agents
Jun 10, 2026Ripon Chandra Malo, Tong QiuAI Coding Agents LLM Agent Memory
University of Utah
Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents
Jun 10, 2026Hao-Lun Hsu, Nikki Lijing Kuang, Boyi Liu +2Hierarchical Memory Long-Horizon Agent Tasks
Duke University · Snowflake AI Research
REAL: A Reasoning-Enhanced Graph Framework for Long-Term Memory Management of LLMs
Jun 9, 2026Keer Lu, Liwei Chen, Guoqing Jiang +3Conversational Memory Persistent Memory for Language Models
School of Computer Science, Peking University · Kuaishou Technology · Center for Data Science, Academy for Advanced Interdisciplinary Studies, Peking University
Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory
Jun 9, 2026Suozhao Ji, Baodong Wu, Zehao Wang +8LLM Agent Memory Persistent Memory for Language Models
1Infinigence AI · 2Tsinghua University · 3Shanghai Jiaotong University
Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents
Jun 9, 2026Qingcan Kang, Liu Mingyang, Shixiong Kai +3Stochastic Optimization Long-Horizon LLM Agents
Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology · Department of Computer Science, City University of Hong Kong · Huawei Noah’s Ark Lab
ActiveMem: Distributed Active Memory for Long-Horizon LLM Reasoning
Jun 9, 2026Yunhan Jiang, Wenbin Duan, Shasha Guo +3Long-Horizon LLM Agents Agent Memory Management
State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences
What Spatial Memory Must Store: Occlusion as the Test for Language-Agent Memory
Jun 9, 2026Doeon Kwon, Junho BangOcclusion Reasoning Spatial Reasoning
Space Zero, Inc.
Deployment-Time Memorization in Foundation-Model Agents
Jun 8, 2026Lei, Chen, Guilin Zhang +8Persistent Memory for Language Models Privacy Leakage in Language Models
Rachel
Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents
Jun 8, 2026Tianxiang Fei, Mingyang Song, Mao Zheng +1LLM Personalization Cognitive Modeling
Large Language Model Department, Tencent
MemToolAgent: Leveraging Memory for Tool Using Agents Based on Environment and User Feedback
Jun 6, 2026Suleyman Armagan Er, Danilo Ribeiro, Yogesh Virkar +5Tool-Using Agents LLM Tool Use
AWS AI · University of Washington
Rosetta Memory: Adaptive Memory for Cross-LLM Agents
Jun 5, 2026Hao Yang, Shiqi Shen, Haoxuan Li +3LLM Agent Memory Persistent Memory for Language Models
Gaoling School of Artificial Intelligence, Renmin University of China · Weixin, Tencent · Institute for Artificial Intelligence, Peking University
AdMem: Advanced Memory for Task-solving Agents
Jun 5, 2026Runzhe Wang, Huilin Lu, Shengjie Liu +2Continual Learning for LLM Agents LLM Agent Memory
Princeton University · Amazon · Arm
Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads
Jun 4, 2026Yasmine Omri, Ziyu Gan, Zachary Broveak +6Agent Memory LLM Agent Memory
Stanford University · Independent Researcher · MICAS, KU Leuven +1
Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents
Jun 4, 2026Yaoqi Chen, Haibin Lai, Yuru Feng +12Agent Memory Long-Horizon LLM Agents
University of Science and Technology of China · Microsoft · University of California, San Diego +1
When Should Memory Stay Silent: Measuring Memory-Use Boundaries in Memory-Augmented Conversational Agents
Jun 4, 2026Lingxiang Xu, Jiaoyun Yang, Min Hu +2Language Model Safety Evaluation Persistent Memory for Language Models
†Hefei University of Technology · ‡Harvard Medical School
Beyond Similarity: Trustworthy Memory Search for Personal AI Agents
Jun 4, 2026Jiawen Zhang, Kejia Chen, Jiachen Ma +7LLM Agent Memory AI Agent Security
Zhejiang University · Nanyang Technological University · Shanghai AI Laboratory +3
Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
Jun 4, 2026Shuo Ji, Yibo Li, Bryan HooiAgent Memory LLM Agent Memory
National University of Singapore, Singapore.
EMBER: Efficient Memory via Budgeted Evidence Retention for Long-Horizon Agents
Jun 4, 2026Yilong Li, Suman Banerjee, Tong ChePersistent Memory for Language Models Long-Term Conversational Memory
University of Wisconsin–Madison · NVIDIA Research
Enhancing Software Engineering Through Closed-Loop Memory Optimization
Jun 4, 2026Xuehang Guo, Zora Zhiruo Wang, Qingyun Wang +2Software Engineering Agents LLM Agent Evaluation
1William & Mary · 2Carnegie Mellon University · 3OpenHands +1
RAMPART: Registry-based Agentic Memory with Priority-Aware Runtime Transformation
Jun 3, 2026Nikodem TomczakMulti-Agent LLM Systems LLM Agent Memory
Thulge Labs, Singapore

Jun 15, 2026, cs.CLJ/K move · Enter open · S save

MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision

Ye Jin, Yangyang Xu, Jun Zhu, Yibo Yang

Beijing University of Posts and Telecommunications · Tsinghua University · Shanghai Jiao Tong University

LLM Personalization Hierarchical Memory Agent Memory Management

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Personalized presentation generation requires more than conditioning on a current prompt or template: agents must preserve stable user preferences across tasks, retain newly introduced preferences and constraints during multi-turn revision, and carry out local edits reliably. We propose MemSlides, a hierarchical memory framework for personalized presentation agents that separates long-term memory from working memory and further divides long-term memory into user profile memory and tool memory. User profile memory stores intent-conditioned profiles for round-0 personalization, working memory carries active preferences and session constraints across revision rounds, and tool memory stores reusable execution experience for reliable localized editing. MemSlides pairs this memory design with scoped slide-local revision, so targeted updates act on the smallest affected region instead of repeatedly regenerating the full deck. In controlled experiments, user profile memory improves persona-alignment judgments on a multi-persona, multi-intent profile bank, tool-memory injection improves closed-loop modify behavior in diagnostic matched-pair settings, and qualitative cases illustrate working memory's ability to carryover preferences. Taken together, these results suggest that effective personalization in presentation authoring depends on separating persistent user profiles, session-level working memory, and reusable execution experience across generation and localized revision.

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Latest papers 308