Memory-Augmented Language Model Agents

Follow this topic Ask about this topic

Momentum

50 papers in the last four weeks, up 233% on the four weeks before. 0.5% of all new papers.

Jul 13Week of Sep 28

Latest papers 275

All topics

State Contamination in Memory-Augmented LLM Agents
May 16, 2026Yian Wang, Agam Goyal, Yuen Chen +1LLM Agent Memory LLM Agent Safety
Department of Computer Science, University of Illinois Urbana-Champaign
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
Hidden in Memory: Sleeper Memory Poisoning in LLM Agents
May 14, 2026Sidharth Pulipaka, Stanislau Hlebik, Leonidas Raghav +4Persistent Memory for Language Models LLM Security
1SPAR · 2ELLIS Institute Tübingen, MPI for Intelligent Systems, Tübingen AI Center · 3APTA +1
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
May 14, 2026Han Li, Jinyu Tian, Rili Feng +10RL for Code Generation Continual Learning for LLM Agents
Nanjing University · Independent Researcher · Tsinghua University
MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models
May 14, 2026Xiyu Ren, Zhaowei Wang, Yiming Du +11VLM Evaluation Memory-Augmented VLMs
CSE Deparment, HKUST · CUHK · OmniMemory (Shenzhen) Intelligent Technology Co., Ltd. +1
When Robots Do the Chores: A Benchmark and Agent for Long-Horizon Household Task Execution
May 14, 2026Zilin Zhu, Longteng Guo, Yanghong Mei +5Long-Horizon Planning Long-Horizon Agent Evaluation
Institute of Automation, Chinese Academy of Sciences, Beijing, China · Zhongguancun Academy, Beijing, China · University of Chinese Academy of Sciences, Beijing, China
LiSA: Lifelong Safety Adaptation via Conservative Policy Induction
May 14, 2026Minbeom Kim, Lesly Miculicich, Bhavana Dalvi Mishra +6Continual Learning for LLM Agents LLM Guardrails
Google Cloud AI Research · Google · Seoul National University
EconAI: Dynamic Persona Evolution and Memory-Aware Agents in Evolving Economic Environments
May 13, 2026Annie Liu, Zane Cao, Lang Chen +2Human Behavior Simulation Agent-Based Modeling
Tsinghua University
ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles
May 13, 2026Yitian Yang, Yiqun Duan, Linghan Huang +4Multi-Agent LLM Systems Opinion Dynamics
The University of Sydney · Meta
RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation
May 13, 2026Chengzhi Shen, Weixiang Shen, Tobias Susetzky +8Healthcare Clinical Decision-Making
Cherise · Technical University of Munich (TUM) · TUM University Hospital +8
SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
May 12, 2026Xiaoyuan Li, Moxin Li, Keqin Bao +4LLM Agent Skill Learning LLM Agent Skill Retrieval
University of Science and Technology of China · 3National University of Singapore · 2Alibaba Group
Personal Visual Context Learning in Large Multimodal Models
May 11, 2026Zihui Xue, Ami Baid, Sangho Kim +2Vision-Language Models Multimodal Large Language Models
The University of Texas at Austin
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
TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
May 11, 2026George Wu, Nan Jing, Qing Yi +7Multi-Agent LLM Systems RL for Language Model Reasoning
1IQuest Research · 2Beihang University
MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading
May 11, 2026Baibei Ji, Xiaoyang Weng, Juntao Li +3Long-Context Inference Memory-Augmented Language Model Agents
Soochow University · Peking University
The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory
May 10, 2026Luoxi Tang, Rupali Rajendra Vaje, Yuqiao Meng +5AI Agent Benchmarks LLM Agent Reliability
Binghamton University, State University of New York, Binghamton, NY, USA · Oakland University, Rochester, MI, USA · University of Pennsylvania, Philadelphia, PA, USA
PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents
May 8, 2026Mehmet IscanRL for Code Generation Execution-Guided Code Generation
PythaLab, Yildiz Technical University
CSR: Infinite-Horizon Real-Time Policies with Massive Cached State Representations
May 8, 2026Robin Karlsson, Go SuzuiRobotic Control Language Model-Based Control
1GODOT Inc, Hyogo, Japan · 2Graduate School of Informatics, Nagoya University, Aichi, Japan.
HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
May 8, 2026Yuping Yan, Jirui Han, Fei Ming +2Multi-Agent LLM Systems Multi-Agent System Optimization
School of Engineering Westlake University
Rethinking Experience Utilization in Self-Evolving Language Model Agents
May 8, 2026Weixiang Zhao, Yingshuo Wang, Yichen Zhang +6Self-Evolving Agents Memory-Augmented Language Model Agents
1Harbin Institute of Technology · 2Huawei Technologies Co., Ltd
RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
May 8, 2026Shijun Li, Pranav Belligundu, Tianxin Wei +3Agentic RAG Recommender Systems
The University of Texas at Austin · University of Illinois at Chicago · Capital One AI Foundations +1
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
May 7, 2026Yaorui Shi, Yuxin Chen, Zhengxi Lu +6LLM Agent Skill Learning LLM Agent Skill Retrieval
University of Science and Technology of China · 2Meituan · 3National University of Singapore +2
When Routine Chats Turn Toxic: Unintended Long-Term State Poisoning in Personalized Agents
May 7, 2026Xiaoyu Xu, Minxin Du, Qipeng Xie +3LLM Agent Security Agent Memory Poisoning
†The Hong Kong Polytechnic University · ⋄Hong Kong University of Science and Technology, HKUST (Guangzhou)
SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety
May 7, 2026Zhe Liu, Zonghao Ying, Wenxin Zhang +5LLM Guardrails LLM Agent Security
School of Cyber Science and Technology, Beihang University, Beijing, China · Institute of Artificial Intelligence, Beihang University, Beijing, China · University of Chinese Academy of Sciences, Beijing, China +1
Belief Memory: Agent Memory Under Partial Observability
May 7, 2026Junfeng Liao, Qizhou Wang, Jianing Zhu +3Agent Memory LLM Agent Memory
MBZUAI · RIKEN AIP · UT Austin +1
Tree-based Credit Assignment for Multi-Agent Memory System
May 6, 2026Marina Mao, Alexandr Liu, Pengbo Li +3Credit Assignment Long-Horizon LLM Agents
University of Science and Technology of China · 2LLM Department, Tencent · 3The Hong Kong University of Science and Technology +1
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
May 5, 2026Siyuan Guo, Yali Du, Hechang Chen +2Continual Learning for LLM Agents Continual Learning for LLMs
aSchool of Artificial Intelligence, Jilin University. · bEngineering Research Center of Knowledge-Driven Human-Machine Intelligence, Jilin University. · cInternational Center of Future Science, Jilin University. +3
Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory
May 4, 2026Yuhui Wang, Tanqiu Jiang, Jiacheng Liang +2LLM Agent Security Agent Memory Management
Stony Brook University USA · Cisco Systems USA
Context Recycling for Long-Horizon LLM Inference
May 1, 2026Derek ThomasLLM Inference Efficiency Long-Context Language Model Inference
Independent Researcher · contextforge
Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture
Apr 29, 2026Samuel L Pugh, Eric Yang, Alexander Muir Sutherland +1Long-Term Conversational Memory Agent Memory Management
Verily Health Inc.

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

State Contamination in Memory-Augmented LLM Agents

Yian Wang, Agam Goyal, Yuen Chen, Hari Sundaram

Department of Computer Science, University of Illinois Urbana-Champaign

LLM Agent Memory LLM Agent Safety Memory-Augmented Language Model Agents

Open paper AskPDF arXiv

LLM agents increasingly rely on persistent state, including transcripts, summaries, retrieved context, and memory buffers, to support long-horizon interaction. This makes safety depend not only on individual model outputs, but also on what an agent stores and later reuses. We study a failure mode we call memory laundering: toxic or adversarial context can be compressed into memory summaries that no longer appear toxic under standard detectors, while still preserving hostile framing or conflict structure that influences future generations. Using paired counterfactual multi-agent rollouts, we show that toxic-origin memory summaries can remain below common toxicity thresholds while nevertheless increasing downstream toxicity relative to matched neutral baselines. To measure this hidden influence, we introduce the sub-threshold propagation gap (SPG), which quantifies downstream behavioral differences conditioned on memory states that a deployed monitor would classify as safe. Our experiments show that toxicity propagates through distinct state channels: raw transcript reuse drives overt downstream toxicity, while compressed memory carries hidden sub-threshold influence. We further find that mitigation depends critically on intervention placement. Sanitizing toxic state before summarization substantially reduces the hidden propagation gap, whereas cleaning only the completed summary can leave laundered influence intact. These results suggest that safety in memory-augmented agents should be treated as a state-control problem over evolving context, with sanitization applied before unsafe information is compressed into persistent memory.

Momentum

Related topics

Latest papers 275