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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Latest papers 256

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SelfMem: Self-Optimizing Memory for AI Agents
Jul 4, 2026Shu Yang, Junchao Wu, Derek F. Wong +1LLM Agent Memory Long-Term Conversational Memory
1PRADA Lab, King Abdullah University of Science and Technology · NLP2CT Lab, University of Macau
Organizational Memory for Agentic Business Process Execution
Jul 3, 2026Lukas Kirchdorfer, Adrian Rebmann, Christian Warmuth +3LLM Agent Memory Business Process Automation
SAP Signavio, Berlin, Germany
AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents
Jul 2, 2026Xiangchen Cheng, Yunwei Jiang, Jianwen Sun +7LLM Agent Memory Long-Horizon Agent Evaluation
Alaya Lab · Shanghai Jiao Tong University · Shanghai Innovation Institute +2
ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair
Jul 2, 2026Chiwang Luk, Matin Mohammad Najafi, Zhifeng Jia +6Automated Program Repair AI Coding Agents
Huawei · HKUST(GZ) · Nanyang Technological University
Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents
Jun 29, 2026Tianyu Ding, Aditya Nannapaneni, Bingfan Liu +1LLM Agent Memory Agent Evaluation
LLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via State Proprioception
Jun 29, 2026Binyan Xu, Haitao Li, Kehuan ZhangTool-Augmented Language Model Agents LLM Agent Memory
The Chinese University of Hong Kong · LIGHTSPEED · Tencent
Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steering
Jun 29, 2026Chengfeng Zhao, Yuqiao Tan, Shizhu He +3LLM Agent Memory LLM Agent Skill Learning
Institute of Automation, CAS · University of Chinese Academy of Sciences · Beijing Academy of Artificial Intelligence
Manufactured Confidence: How Memory Consolidation Turns Hearsay into Confident Facts
Jun 28, 2026Alex KwonAI Agent Reliability LLM Agent Memory
Independent Researcher
Selective Memory Retention for Long-Horizon LLM Agents
Jun 28, 2026Pranath ReddyLLM Agent Memory Persistent Memory for Language Models
Independent Researcher, Huntsville, Alabama, USA.
Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents
Jun 25, 2026Vedant PatelContinual Learning for LLM Agents Knowledge Conflicts in Language Models
Vrin
TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory
Jun 23, 2026Tianyu Yang, Sudipta Paul, Vijay Srinivasan +2LLM Agent Memory Agent Memory Management
AI Center-Mountain View, Samsung Electronics · University of Notre Dame
Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory
Jun 23, 2026Beining Wu, Zihao Ding, Jun Huang +1Continual Learning for LLM Agents LLM Agent Memory
Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD 57007, USA · Virginia Commonwealth University, Richmond, VA, USA
Are We Ready For An Agent-Native Memory System?
Jun 23, 2026Wei Zhou, Xuanhe Zhou, Shaokun Han +5Agent Memory LLM Agent Memory
Shanghai Jiao Tong University · Tsinghua University · MemTensor (Shanghai) Technology Co., Ltd
Governed Shared Memory for Multi-Agent LLM Systems
Jun 23, 2026Yanki Margalit, Nurit Cohen-Inger, Erni Avram +2Multi-Agent LLM Systems Data Provenance
Computer Science and Information, Ben-Gurion University of the Negev
ReM-MoA: Reasoning Memory Sustains Mixture-of-Agents Scaling
Jun 23, 2026Heng Ping, Arijit Bhattacharjee, Peiyu Zhang +5Multi-Agent System Optimization LLM Agent Memory
University of Southern California · Iowa State University · Cisco AI Research
Metis: Bridging Text and Code Memory for Self-Evolving Agents
Jun 23, 2026Zijie Dai, Siuhin He, Hui Li +9Agent Memory LLM Agent Memory
The Chinese University of Hong Kong · Huawei · Wuhan University
Memory Contagion: Cross-Temporal Propagation of Evaluator Bias via Agent Memory
Jun 22, 2026Zewen LiuLLM Agent Memory Language Model Bias Evaluation
Independent Researcher
Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation
Jun 22, 2026Julia Belikova, Rauf Parchiev, Evgeny Egorov +4LLM Agent Memory LLM Agent Evaluation
DynamicMem: A Long-Horizon Memory Benchmark in Real-World Settings
Jun 22, 2026Wenya Xie, Shengming Zhou, Zelin Li +9Agent Memory LLM Agent Memory
University of Minnesota · University of North Carolina at Charlotte · Johns Hopkins University +2
RaMem: Contextual Reinstatement for Long-term Agentic Memory
Jun 22, 2026Wei Yang, Bryce Kan, Shixuan Li +5Agent Memory LLM Agent Memory
University of Southern California
Emergent Culture in Minimal LLM Systems
Jun 21, 2026Simon Jones, Sabine HauertMulti-Agent LLM Systems LLM Agent Memory
University of Bristol, UK
AdaMem: Learning What to Remember with Adaptive Memory Policies for Personalized Agents
Jun 19, 2026Xingyu Chen, Rui Wang, Zhaopeng Tu +1LLM Agent Memory Persistent Memory for Language Models
Shanghai Jiao Tong University, Tencent · Shanghai Jiao Tong University · Tencent
When Does Overlap Help? OSU-Mem and a Cell-Conditional Analysis of Trajectory Memory for LLM Agents
Jun 19, 2026Mellow Baixuan Chen, Xiangguo SunDocument Chunking LLM Agent Memory
Courant Institute of Mathematical Sciences, New York University, New York, USA · Southeast University, Nanjing, China
Multi-Agent Transactive Memory
Jun 18, 2026To Eun Kim, Xuhong He, Dishank Jain +3LLM Agent Memory Agentic RAG
1Carnegie Mellon University · University of California, Berkeley
GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents
Jun 17, 2026Zhe Ren, Yibo Yang, Yimeng Chen +7LLM Agent Memory AI Agent Security
School of Artificial Intelligence, Jilin University · 2Shanghai Jiao Tong University · 3King Abdullah University of Science and Technology (KAUST) +2
CoreMem: Riemannian Retrieval and Fisher-Guided Distillation for Long-Term Memory in Dialogue Agents
Jun 16, 2026Jiaqi Chen, Yongqin Zeng, Shaoshen Chen +4LLM Agent Memory Long-Term Conversational Memory
Shenzhen International Graduate School, Tsinghua University · Peng Cheng Laboratory · Shandong Analysis and Test Center, Qilu University of Technology, Jinan, China +1
OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation
Jun 16, 2026Guibin Zhang, Xun Xu, Yanwei Yue +4LLM Agent Memory Memory-Augmented Agents
LV-NUS Lab · FDU · PKU +1
Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning
Jun 16, 2026Yanwei Cui, Xing Zhang, Yulong Zhang +4Continual Learning for LLM Agents Non-Stationary RL
AWS Generative AI Innovation Center · Amazon Web Services (AWS) · BingX Group Limited.
GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot Planning
Jun 16, 2026Haoyu Wang, Guoqing Ma, Zeyu Zhang +3LLM Agent Memory Multi-View 3D Reconstruction
School of Computer Science, Peking University · 2CASIA · 3AI2 Robotics
MemTrace: Probing What Final Accuracy Misses in Long-Term Memory
Jun 15, 2026Xianxuan Long, Zhikai Chen, Shenglai Zeng +3Temporal Reasoning in Language Models LLM Agent Memory
Michigan State University · Case Western Reserve University

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SelfMem: Self-Optimizing Memory for AI Agents

Shu Yang, Junchao Wu, Derek F. Wong, Di Wang

1PRADA Lab, King Abdullah University of Science and Technology · NLP2CT Lab, University of Macau

LLM Agent Memory Long-Term Conversational Memory Self-Improving Agents Agent Memory Management

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While current AI agents support increasingly long context windows, tool use, and skill execution for long-horizon tasks, they still require memory systems to effectively leverage historical experience. Existing memory frameworks typically rely on fixed storage, retrieval, and summarization mechanisms, which can be rigid across different tasks and often require manual tuning. To address this limitation, we propose SelfMem, a self-optimizing memory framework. Inspired by prior work on self-improving AI, we follow the principle of "teaching an agent to fish rather than giving it a fish." Instead of forcing the model to follow a predefined memory strategy or format, SelfMem provides an environment with memory tools and feedback signals that allow the agent to explore, evaluate, and refine its own memory strategy. Our results show that SelfMem consistently outperforms retrieval, compression, and agent-memory baselines on BEAM across conversation scales from 100K to 1M tokens. Compared with the strongest baseline, SelfMem improves the official score by 48.7%, 40.8%, and 41.9% at 100K, 500K, and 1M, respectively. Further question-type analysis shows broad robustness across diverse memory demands, and our optimization study shows that model-guided strategy refinement further improves performance.

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