LLM Agent Memory

LLM: Large Language Model

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41 papers in the last four weeks, up 173% on the four weeks before. 0.4% of all new papers.

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DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks
Oct 6, 2026Antoine Edy, Max Conti, Victor Xing +3LLM Agent Memory Self-Improving Agents
Illuin Technology
MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents
Oct 5, 2026Haozhen Zhang, Haodong Yue, Quanyu Long +6LLM Agent Memory LLM Memory
Nanyang Technological University · Tsinghua University · University of Illinois Urbana-Champaign
When to Remember, When to Abstain: Category-Conditioned Retention for Reliable Agent Memory
Oct 5, 2026Olukunle Owolabi, Pulkit Gupta, Fei WangSelective Prediction LLM Agent Memory
Meta AI
StateWise: Diagnosing and Repairing Persistent Operational State Before Agent Actions
Oct 4, 2026Yongyuan Peng, Zhou Feng, Tongying Wu +5Agent Failure Analysis Software Engineering Agents
Xi’an Jiaotong University, China · Zhejiang University, Hangzhou, China
Memadapter: Counterfactual Adaptation Against Memory-induced Sycophancy
Oct 4, 2026Ruqing Ning, Haibo Meng, Zhishang Xiang +4LLM Sycophancy LLM Agent Memory
Jilin University · Xiamen University
AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents
Oct 1, 2026Xuan Zhang, Longtao Zheng, Cunxiao Du +2Software Engineering Agents LLM Agent Memory
Singapore Management University · Nanyang Technological University · Harvard University
Mem++: Non-Destructive Memory for Long-Term Organizational LLM Agents
Oct 1, 2026Ahmad Yehia, Aly O. Abdelkareem, Islam Ahmed +4LLM Agent Memory Persistent Memory for Language Models
The University of Texas at Austin · AIDAChip Inc.
Understanding Issues, Causes and Solutions in Open-Source LLM-based Multi-Agent Systems
Oct 1, 2026Asad Ur Rehman, Syed Mohammad Kashif, Ruiyin Li +3Multi-Agent LLM Systems Multi-Agent Orchestration
School of Computer Science, Wuhan University, China · School of Computer Science & Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, China · M3S Empirical Software Engineering Research Unit, University of Oulu, Finland
MemFit: Efficient Long-Term Agentic Memory
Oct 1, 2026Mitchell Piehl, Muchao YeLLM Agent Memory Persistent Memory for Language Models
Department of Computer Science The University of Iowa
Personalized State-Transition-Aware Memory for Clinical Agents
Sep 29, 2026Maryam Haghifam, Zahra Rajabi, Yizhou Sun +1LLM Agent Memory State Tracking
Department of Computer Science, University of California, Los Angeles, CA, USA · Optum AI, UnitedHealth Group, Minneapolis, MN, USA
PrivMeSA: Privacy-Aware Self-Evolving Multi-Agent System for Medicine via Local-Remote LLM Collaboration
Sep 29, 2026Dannong Wang, Yuran Zhang, Bian Sun +4Multi-Agent LLM Systems Privacy-Preserving Language Models
Institute of Artificial Intelligence, University of Central Florida · Department of Computer Science and Operations Research, Universit´e de Montr´eal · Department of Medicine, University of Central Florida
EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory
Sep 29, 2026Ziyun Zeng, Hang Hua, Shaden Alshammari +3LLM Agent Memory Multi-Agent Systems
MIT-IBM Computing Research Lab · University of Rochester · Massachusetts Institute of Technology
UpliftMem: Learning Set-Level Uplift for Agent Memory Retrieval
Sep 29, 2026Mengkun Liang, Haoran Qiang, Guannan Liu +1LLM Agent Memory
MIIT Key Laboratory of Data and Decision Intelligence Beihang University Beijing, China
GitHarness: Git Init Your Harness Working Memory for Perpetual User Requirements
Sep 29, 2026Zhibang Yang, Xinke Jiang, Yuxuan Liu +9LLM Agent Memory Long-Horizon LLM Agents
National Engineering Research Center of Software Engineering, Peking University, Beijing, China · School of Computer Science, Peking University, Beijing, China · Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China +2
Frontier Autolab: Organizational Memory, Adversarial Dissent and Temporal Leakage in Multi-Agent LLM Firms Across Fifty Years of Technological Change
Sep 29, 2026Bravish GhoshMulti-Agent LLM Systems LLM Agent Memory
Independent researcher
Audience-Bound Persistent Memory: Authorization Across the Memory Lifecycle
Sep 28, 2026Sibo LiuLLM Agent Memory Privacy Leakage in Language Models
Independent Researcher
StateTape: Action-Conditioned Evidence Lifecycle Modeling for Long-Horizon Coding Agents
Sep 28, 2026Ziyang Yu, Liang Zhao, Bowen Zhu +1AI Coding Agents LLM Agent Memory
Causal Dynamics Lab · Emory University
EP-Mem: Elastic Privacy Memory for Social Relationship-Aware LLM Agents
Sep 28, 2026Fengzhou Sun, Yuan Zhang, Xintong Yu +1LLM Agent Memory Privacy Leakage in Language Models
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China
GenMem: Generative Symbolic Memory for Self-Evolving Harness
Sep 28, 2026Xinke Jiang, Tao Feng, Weixuan Xu +7LLM Agent Memory Persistent Memory for Language Models
National Engineering Research Center of Software Engineering, Peking University, Beijing, China · School of Computer Science, Peking University, Beijing, China · Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China +2
After the Fix: Transfer of Corrected Agent Experience
Sep 28, 2026Yanfei Zhang, Xu LinLLM Self-Correction LLM Agent Memory
International Digital Economy Academy (IDEA)
FlowState: Execution State as Memory for Long-Horizon LLM Agents
Sep 28, 2026Minghao Li, Bangyan Li, Zifan Wang +5LLM Agent Memory Long-Horizon LLM Agents
Ant International, Ant Group
Remember Before You're Asked: MemDream for Self-Probing Memory Evolution
Sep 28, 2026Mingfei Lu, Mengjia Wu, Runsong Jia +2LLM Agent Memory Graph-Based Agent Memory
Australian Artificial Intelligence Institute (AAII) University of Technology Sydney
Remember by Asking: Retrieval-Induced Memory Evolution for LLM Agents
Sep 28, 2026Wanqi Zhou, Jiawei Lu, Yang Wang +4LLM Agent Memory Persistent Memory for Language Models
Chang’an University
Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning
Sep 28, 2026Lirui Luo, Kelong Mao, Heming Xia +10LLM Agent Memory Persistent Memory for Language Models
ReplayLens: Auditing Agents' Use of Outcomes
Sep 28, 2026Dong Xu, Zhangfan Yang, Jiantao Wu +5AI Agent Auditing LLM Agent Memory
School of Artificial Intelligence, Shenzhen University · EasternDawn · School of Computer Science, University of Nottingham Ningbo
RoutePrism: Tracing Construction Order Effects in Agent Memory
Sep 28, 2026Dong Xu, Zhangfan Yang, Jiantao Wu +5Agent Memory LLM Agent Memory
School of Artificial Intelligence, Shenzhen University · EasternDawn · School of Computer Science, University of Nottingham Ningbo
Vestrum: Improving Agent Harnesses by Adapting Their Verification, Structure and Memory
Sep 27, 2026Jayant Parashar, Eugene F. Douglass, William C. Bastian +1LLM Agent Memory Agent Harness Optimization
University of Georgia · Emory University
TRACE: Governing Memory Validity in Evolving Multi-Agent Systems
Sep 27, 2026Wenjun Xiong, Shengtao Zhang, Shangding Gu +5LLM Agent Memory Persistent Memory for Language Models
Shanghai Jiao Tong University · MemTensor(Shanghai) Technology Co., Ltd. · UC Berkeley +1
ADM-Planner: LLM-Guided Long-Horizon Planning for Mobile Manipulators with Attention-Enhanced Dynamic Memory
Sep 24, 2026Jiaping Xiao, Pingyuan Ji, Mir FeroskhanLong-Horizon Robotic Manipulation Mobile Manipulation
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Agent Memory with Episodic Retrieval for Financial Decision-Making
Sep 23, 2026Nuoyue Xu, Jiang Liu, Wenxuan Huang +3Multi-Agent LLM Systems LLM Agent Memory
University of British Columbia · University of Science and Technology of China · Fudan University +1
Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity
Sep 22, 2026Zhening Li, Joshua Liu, Mateja Vukelic +7LLM Agent Memory LLM Agent Self-Improvement
MIT CSAIL · Independent Researcher
Learned Enterprise Data Comprehension: Compression and Routing for Data Agents
Sep 21, 2026Ethan Torres, Eric MillsLLM Agent Memory LLM Agent Routing
MemCalib: Benchmarking and Optimizing Memory Use in LLM Agents
Sep 21, 2026Ruike Cao, Fanyu Zhao, Fugen Yao +6LLM Agent Memory Memory Agent Benchmarks
University of Science and Technology of China · Qwen Business Unit of Alibaba · Fudan University
Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
Sep 21, 2026Dongming Jiang, Yi Li, Bingzhe LiLLM Agent Memory Graph-Based Agent Memory
Department of Computer Science, The University of Texas at Dallas
Total Cost of Agency: Exact Attribution of Memory Injection Cost in Multi-Agent LLM Workflows
Sep 20, 2026Vivek Kumar Singh, Preeti Priyam, Gautam BhowmickLLM Agent Memory Cost-Aware Inference
Independent Researcher McKinney, TX, USA · Independent Researcher Chicago, IL, USA
RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
Sep 20, 2026Fanyu Zhao, Ruike Cao, Liang Dong +6Continual Learning for LLM Agents LLM Agent Memory
Fudan University · Qwen Business Unit of Alibaba
PSD: Pseudo Self-Distillation of Memory Representation Capabilities for LLM Agents
Sep 20, 2026Pirzada Suhail, Menglin Xia, Xuchao Zhang +3LLM Agent Memory Persistent Memory for Language Models
Microsoft Research
LifeFuse-Mem: Lifecycle-Aware State Fusion Against Temporary Overwriting for Long-Term Memory
Sep 14, 2026Hanyu Zhao, Yuqian Feng, Zhenyu Song +4LLM Agent Memory Persistent Memory for Language Models
Beijing Academy of Artificial Intelligence · University of Chinese Academy of Sciences · Institute of Software, Chinese Academy of Sciences +1
ROAM: Robust Organization of Atomic Memories for Agents through Semantic Relations
Sep 9, 2026Jianjie Zheng, Peng Lai, Sijie Cheng +3LLM Agent Memory Persistent Memory for Language Models
Southern University of Science and Technology · Tsinghua University · Deepexi Technology Co. Ltd.
Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluation
Sep 8, 2026Dac Duy Anh Nguyen, Zhangchi Qiu, Shigeng Chen +1LLM Agent Memory Graph-Based Agent Memory
School of ICT Griffith University Brisbane, Australia · School of ICT Griffith University Gold Coast, Australia
Personalizing LLM Agent Memory Using Biometrics
Sep 8, 2026Yanhong Qian, Qingguo Meng, Shihao Ding +4Conversational Memory LLM Agent Memory
Anhui Provincial Key Laboratory of Secure Artificial Intelligence, School of Artificial Intelligence, Anhui University, Hefei 230093, China · National Institute of Informatics, Tokyo 101-8430, Japan
CreaMem: A Scene-Aware Memory Architecture for Personalized Agents
Sep 8, 2026Qixuan Sun, Yue Que, Bowei He +4LLM Agent Memory Episodic Memory
City University of Hong Kong, Hong Kong SAR, China · AgentWoods Inc., San Francisco · Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
What Eviction Destroys: A Restore-Counterfactual Audit of Forgetting in Agent Memory
Sep 8, 2026Chen ShenCounterfactual Evaluation LLM Agent Memory
Megagon Labs
Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing
Sep 7, 2026Weizhe Wang, Yitong Zhang, Yao Zhang +4LLM Agent Memory LLM Agent Security
Tianjin University, Tianjin, 300072, China · Changchun University of Science and Technology, Changchun, 130022, China · Jilin Province Key Laboratory of Network and Information Security, Changchun, 130022, China +1
When Users Don't Ask: Benchmarking Context-Driven Memory Retrieval in Conversational Agents
Sep 3, 2026Wen-Yu Chang, Yun-Nung ChenConversational Memory LLM Agent Memory
National Taiwan University, Taipei, Taiwan
Plan Pointers and Record-Directive Form in Budgeted Verification of Inherited Agent Memory
Sep 3, 2026Kazuki NakayashikiLLM Agent Memory LLM Agent Verification
Glasp
The Memory Trust Gap: Capability-Dependent Failures in Persistent-Memory Agents
Sep 1, 2026Jundong Hu, Shekar RamachandranKnowledge Conflicts in Language Models LLM Agent Memory
PayPal AI
Agent Memory Is a Surface for Endogenous Authorization Laundering
Sep 1, 2026Tommaso Cerruti, Mika Okamoto, Ansel Kaplan ErolLLM Agent Memory LLM Agent Security
ETH Zurich · Georgia Institute of Technology
Making Prospective Memory SLM-Shaped: Typed Intention Stores for Small-Model Agents
Sep 1, 2026Jinqing Zhao, Chengcan WuLLM Agent Memory Small Language Models
Peking University
Invalidation Contracts for Cross-Episode Agent Memory
Aug 31, 2026Michael Wu, Arquimedes CanedoLLM Agent Memory Agent Memory Management
Siemens Digital Industries Software Princeton, NJ, USA
UTILMEM: Benchmarking Evidence Utilization in Long-Term Conversational Memory
Aug 31, 2026Peijun Qing, Fobo Shi, Soroush VosoughiLLM Agent Memory Memory Agent Benchmarks
Dartmouth College · Wuhan University
CONTRAMEM: Learning Self-Evolving Procedural Memory from Contrasting Multi-Model Trajectories
Aug 23, 2026Zheyuan Deng, Binghang Lu, Hanqi Feng +11Computer-Use Agents LLM Agent Memory
Brown University · Purdue University · Carnegie Mellon University +6
Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectories
Aug 20, 2026Hexi Wang, Yujia Zhou, Bangde Du +7Human Behavior Simulation LLM Agent Memory
Department of Computer Science and Technology, Tsinghua University · Quan Cheng Laboratory
LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation
Aug 13, 2026Dongfang Li, Zixuan Liu, Junmai Wang +5LLM Agent Memory Persistent Memory for Language Models
Harbin Institute of Technology, Shenzhen
Spatial Memory Agent: Experience-Grounded Procedural Memory for Spatial Intelligence
Aug 13, 2026Haokai Zhang, Yuhang Ding, Yunshu Zhou +5Memory-Augmented VLMs Visual Spatial Reasoning
Zhejiang University · Shanghai Jiao Tong University · Shanghai Innovation Institute
ERSkill: Evolving for Skill-Guided Adaptive Memory Retrieval
Aug 13, 2026Haolong Chen, Liang Zhang, Zhuo Li +2LLM Agent Memory LLM Agent Skill Learning
Shenzhen International Center for Industrial and Applied Mathematics · Shenzhen Research Institute of Big Data · The Chinese University of Hong Kong, Shenzhen +2
Total Recall at What Cost? Benchmarking the Serving Cost of Agentic Memory Systems
Aug 12, 2026Natchanon Pollertlam, Witchayut KornsuwannawitLLM Serving LLM Agent Memory
Bricks Technology · Thailand
Self-Correcting Long-Horizon Search Agents via Tree-Structured Memory
Aug 11, 2026Aijun Yang, Qianxue Guo, Ziyi Huang +3Agentic Search LLM Agent Memory
Shanghai Jiao Tong University
Muscle Memory for Agents: Compile not Merely Retrieve
Aug 10, 2026Pouya Ghiasnezhad Omran, Soujanya Lanka, Qin Zhang +1Conversational Memory LLM Agent Memory
Google Cloud FDE
LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems
Aug 8, 2026Heng Zhou, Lian Zhang, Yutao Fan +5Multi-Agent LLM Systems Knowledge Conflicts in Language Models
University of Science and Technology of China · University of Illinois Urbana-Champaign · Shanghai AI Laboratory +2

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DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks

Antoine Edy, Max Conti, Victor Xing, Marc-Antoine Allard+2

Illuin Technology

LLM Agent Memory Self-Improving Agents Memory-Augmented Language Model Agents

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LLM agents often lack the operational knowledge to act reliably in new environments, as they must discover specific tool behaviors or environment conventions on their own. Without memory of past attempts, they repeat the same mistakes across tasks, leading to more task failures and longer trajectories. To address this, agentic systems typically rely on human-written guidelines or on procedural memory built from training tasks and an oracle verifier, both of which require prior knowledge of the environment. We present DAEDALUS, a method for bootstrapping reusable agent memory from self-generated practice without existing tasks or oracle verifiers. DAEDALUS pairs two agents: an explorer that interacts with the environment to generate challenging yet solvable tasks, and a solver that attempts them. A heuristic is derived from each solver failure and accepted only after the solver repeatedly succeeds with that heuristic in context. These outcomes also provide feedback for the explorer to refine the difficulty of future tasks. Accepted heuristics are then consolidated into a memory bank for test-time use. Across AppWorld,

τ^2

-bench, and AutomationBench, DAEDALUS improves mean success rates by up to 15.9 points and pass^5 by up to 2.2x over a no-memory baseline, and is competitive with methods using training tasks, at a lower inference cost than most. We show that performance gains already emerge with a small exploration budget, and that its heuristics also benefit agents from other model families. Our ablations further reveal that solver traces provide the key information needed to derive effective heuristics, while factorizing early discoveries makes exploration more cost-efficient. Beyond memory construction, we find that the tasks generated by DAEDALUS can serve as a proxy for benchmark tasks when ranking models by performance. Code and artifacts: www.github.com/illuin-tech/daedalus.

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