LLM Agent Memory

LLM: Large Language Model

LLM agent memory studies how systems preserve useful facts, user preferences, task state, and reusable procedures beyond the current context window, so they can act consistently across sessions and long workflows. Common approaches include summarizing or retaining raw episodes, structured temporal or graph stores, retrieval-augmented memory, hierarchical episodic and procedural tiers, and learned policies for writing, consolidation, selection, and forgetting. Work is tested on long-horizon dialogue and personalization benchmarks such as LoCoMo and LongMemEval, as well as coding, web, tool-use, and embodied tasks; newer evaluations probe multi-turn learning, changing facts, and whether agents actually use retrieved evidence. The central tension is that compression and selective retrieval save tokens but can discard evidence or introduce stale, conflicting, biased, or poisoned memories, while larger stores and elaborate retrieval add cost and raise privacy and governance concerns.

Latest papers

376 papers71 papers in the last four weeks, up 51% on the four weeks before. 0.4% of all new papers.

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.
Remember Your Trace: Memory-Guided Long-Horizon Agentic Framework for Consistent and Hierarchical Repository-Level Code Documentation
May 14, 2026Suyoung Bae, Jaehoon Lee, Changkyu Choi +2Software Engineering Agents LLM Agent Memory
Sungkyunkwan University, South Korea · University of Oslo, Norway
MemLineage: Lineage-Guided Enforcement for LLM Agent Memory
May 14, 2026Ciyan Ouyang, Rui HouLLM Agent Memory LLM Agent Security
State Key Laboratory of Cyberspace Security Defense Institute of Information Engineering, CAS Beijing, China
Agentic Recommender System with Hierarchical Belief-State Memory
May 14, 2026Xiang Shen, Yuhang Zhou, Yifan Wu +8LLM Agent Memory Recommender Systems
Meta Recommendation Systems (MRS)
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
R^2-Mem: Reflective Experience for Memory Search
May 13, 2026Xinyuan Wang, Wenyu Mao, Junkang Wu +2Inference-Time Search LLM Agent Memory
University of Science and Technology of China
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
Executable Agentic Memory for GUI Agent
May 12, 2026Zerui Qin, Sheng Yue, Xingyuan Hua +2GUI Agents LLM Agent Memory
1Tsinghua University, China · 2Sun Yat-sen University, China
Slipstream: Trajectory-Grounded Compaction Validation for Long-Horizon Agents
May 9, 2026Zhuofu Chen, Rui Pan, Yinwei Dai +1LLM Agent Memory Long-Horizon LLM Agents
Princeton University
Human-Inspired Memory Architecture for LLM Agents
May 8, 2026Doga Kerestecioglu, Alexei Robsky, Clemens Vasters +2Agent Memory Management 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
The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents
May 8, 2026Jiayuan Liu, Tianqin Li, Shiyi Du +7Social Dilemmas LLM Agent Memory
Carnegie Mellon University · Foundations of Cooperative AI Lab (FOCAL) · University of Michigan +1
MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
May 7, 2026Chunyu Li, Mengyuan Zhang, Jingyi Kang +6LLM Agent Memory LLM Reranking
1MemTensor (Shanghai) Technology · 2China Telecom Research Institute · 3Shanghai Jiao Tong University
From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
May 7, 2026Jinghao Luo, Yuchen Tian, Chuxue Cao +6Continual Learning for LLM Agents LLM Agent Memory
2South China Normal University · 1Hong Kong Baptist University · 3Hong Kong University of Science and Technology +2
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
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
MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents
May 5, 2026Jiayi Chen, Yingcong Li, Guiling WangLLM Agent Workflow Optimization Persistent Memory for Language Models
New Jersey Institute of Technology, Newark, USA
GRAVITY: Architecture-Agnostic Structured Anchoring for Long-Horizon Conversational Memory
May 3, 2026Yushi Sun, Bowen Cao, Dong Fang +2LLM Agent Memory Persistent Memory for Language Models
LIGHTSPEED, Shenzhen, China · The Chinese University of Hong Kong, Hong Kong, China
Exploring LLM Agent Designs and Interaction Modalities for Scientific Visualization
Apr 30, 2026Jackson Vonderhorst, Kuangshi Ai, Haichao Miao +2Scientific Visualization Data Visualization
Univ. Notre Dame · LLNL
Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents
Apr 30, 2026Mehmet IscanSelective Prediction AI Coding Agents
PythaLab, Yildiz Technical University, Istanbul, Türkiye.
When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents
Apr 29, 2026Qisheng Hu, Quanyu Long, Wenya WangContinual Learning for LLM Agents LLM Agent Memory
Nanyang Technological University
Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent
Apr 29, 2026Zhentao Xu, Shangjin Zhang, Emir Poyraz +7LLM Agent Memory Persistent Memory for Language Models
LinkedIn Corporation Sunnyvale, CA, USA · LinkedIn Corporation New York, NY, USA
ADEMA: A Knowledge-State Orchestration Architecture for Long-Horizon Knowledge Synthesis with LLMAgents
Apr 28, 2026Zhou Hanlin, Chan Huah YongLLM Agent Memory LLM Agent Orchestration
School of Computer Sciences, Universiti Sains Malaysia (USM), Penang, Malaysia · Xiamen Software Vocational & Technical College, Xiamen, China
ContextWeaver: Selective and Dependency-Structured Memory Construction for LLM Agents
Apr 24, 2026Yating Wu, Yuhao Zhang, Sayan Ghosh +4LLM Agent Memory Graph-Based Agent Memory
UT Austin · AWS AI Labs
Stateless Decision Memory for Enterprise AI Agents
Apr 22, 2026Vasundra SrinivasanLLM Agent Memory Long-Horizon LLM Agents
Data Engineering for Multimodal AI (O’Reilly) · Stanford School of Engineering
Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
Apr 21, 2026Hongwei XuLLM Agent Memory Multi-Agent Communication

May 15, 2026J/K move · Enter open · S save

H-Mem: A Novel Memory Mechanism for Evolving and Retrieving Agent Memory via a Hybrid Structure

Jiawei Yu, Yixiang Fang, Xilin Liu, Yuchi Ma

The Chinese University of Hong Kong, Shenzhen · Huawei Cloud Computing Technologies CO., LTD.

Agent Memory LLM Agent Memory Persistent Memory for Language Models Hierarchical Memory Agent Memory Management

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Memory data are ubiquitous in Large Language Model (LLM)-based agents (e.g., OpenClaw and Manus). A few recent works have attempted to exploit agents'memory for improving their performance on the question-answering (QA) task, but they lack a principled mechanism for effectively modeling how memory data evolves over time and retrieving memory data effectively, leading to poor performance in memory utilization. To fill this gap, we present H-Mem, a novel memory mechanism via a hybrid structure that can not only effectively model the evolution of agent memory over a long period of time, but also provide an efficient memory retrieval approach. Particularly, H-Mem builds a temporal and semantic tree structure that allows the short-term memory data to evolve progressively into long-term memory data, where the latter provides summarized information about the former, while simultaneously constructing a knowledge graph to capture the relationships between entities in memory. Moreover, it offers an effective memory retrieval approach by exploiting the hybrid structure of the tree and graph structures. Extensive experiments on three agent memory benchmarks show that H-Mem achieves state-of-the-art performance on the QA task.