Memory Management for LLM Agents

LLM: Large Language Model

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58 papers19 papers in the last four weeks, up 375% on the four weeks before. 0.1% of all new papers.

BetaMem: Learning to Remember a Changing World for Embodied Agents
Oct 19, 2026Mai Liu, He Sun, Siru Zhong +5Long-Term Memory for Embodied Agents Memory Management for LLM Agents
Beta Infinity · Peking University · The Hong Kong University of Science and Technology (Guangzhou) +1
Remembering Has a Price: Learning Memory Worth under Resource Constraints
Oct 19, 2026Guannan Lai, Zi-Yang Bai, Jun-Peng Jiang +1Memory Management for LLM Agents Lifelong Learning Agents
School of Artificial Intelligence, Nanjing University · National Key Laboratory for Novel Software Technology, Nanjing University
Let Them Sleep: Recursive Self-Pruning Memory for Long-Horizon LLM Agents
Oct 18, 2026Kargi Chauhan, Sadiba Nusrat Nur, Pratibha Revankar +2LLM Agent Memory Memory Management for LLM Agents
University of California, Santa Cruz
Memory, Know Your PLACE: Governing Lifecycle State and Query-Time Eligibility in Persistent-Memory Agents
Oct 18, 2026Chen-Fang Hu, Hong-Han Shuai, Woan-Shiuan ChienMemory Management for LLM Agents Persistent Memory for Language Models
Arˆete Honors Program, National Yang Ming Chiao Tung University, Taiwan · Institute of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Taiwan
Memory as Belief: Bayesian Evolution of Memory for Self-Evolving LLM Agents
Oct 18, 2026Yiming Xu, Qian Yang, Zihan Chen +4Memory Management for LLM Agents Self-Evolving Agents
School of Computer Science and Technology, Xi’an Jiaotong University · Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi’an Jiaotong University · University of Virginia, Charlottesville, Virginia, USA +1
MemPrice: Online Memory Allocation via Adaptive Pricing for Long-Horizon Agents
Oct 18, 2026Yiming Zong, Shiyuan Piao, Jiashuo Jiang +1Memory Management for LLM Agents LLM Context Management
Department of Industrial Engineering & Decision Analysis, HKUST
Hippo: Training-Free Agent Self-Evolution via Hippocampal Replay
Oct 17, 2026Yutong Song, Jiang Wu, Yuxuan Ren +2LLM Agent Memory Memory-Augmented Language Model Agents
University of California, Irvine · Independent Researcher · Rice University +1
Can Agents Keep Secrets They Were Never Told? Benchmarking Latent Privacy Risks Across Sessions with MemJoin
Oct 17, 2026Qishun Yang, Shu Yang, Difei Xu +2Memory Agent Benchmarks Data Leakage
University of Massachusetts Boston · King Abdullah University of Science and Technology · Provable Responsible AI and Data Analytics Lab
Learning Personalized Memory Gating from Delayed One-Sided Feedback
Oct 16, 2026Kaixuan Ji, Zixiang Chen, Wenting Zhao +9Memory Management for LLM Agents Contextual Bandits
Salesforce AI Research · University of California, Los Angeles · University of Illinois at Urbana-Champaign +1
MARS: Memory-Aware Routing for Session-Level LLM Assistants
Oct 16, 2026Minghan Wang, Jinhang Zuo, Zhongxiang Dai +2Memory Management for LLM Agents LLM Routing
Southern University of Science and Technology · City University of Hong Kong · The Chinese University of Hong Kong, Shenzhen +1
Beyond Marginal Influence: Interaction-Aware Memory Selection for LLM Agents
Oct 16, 2026BHVSP Subrahmanyam, Neeraj ChoudharyMemory Management for LLM Agents Memory Agent Benchmarks
Department of Computer Science and Engineering, Mahindra University, India
TreeFlex: Agents Navigating Their Own Search Trees
Oct 14, 2026Dongzhuo Li, Fangzhou Cheng, Weiwei Li +8Memory Management for LLM Agents LLM Agents
Meta AI
MemCode: Discrete Semantic Representations for Long-Term Agent Memory
Oct 14, 2026Xin Li, Liang Hu, Duoqian Miao +2LLM Agent Memory Memory Management for LLM Agents
Tongji University · WorldMind
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
Mnemon: Raw Records, Fast Judgments, Slow Thoughts
Sep 28, 2026Guangren WangPersistent Memory for Language Models Memory Agent Benchmarks
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
EMIR $^2$ : Evolution-Aware Memory with Intent-Guided Multi-Round Retrieval
Sep 26, 2026Jinlan Liu, Hongliang Sun, Yong Wang +4Memory Management for LLM Agents LLM Agent Memory
Department of Computer Science, Weihai & Qingdao Research Institute Harbin Institute of Technology Weihai, China
HasMem: Hard-Origin Adaptively Softened Memory for Long-Term LLM Agents
Sep 25, 2026Zihong He, Junxiao Shen, Chen Liang +1Memory Management for LLM Agents Long-Term Conversational Memory
The Hong Kong University of Science and Technology (Guangzhou) · University of Bristol · The Hong Kong University of Science and Technology
ADM-Planner: LLM-Guided Long-Horizon Planning for Mobile Manipulators with Attention-Enhanced Dynamic Memory
Sep 24, 2026Jiaping Xiao, Pingyuan Ji, Mir FeroskhanMemory-Augmented Language Model Agents Mobile Manipulation
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
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
Compact-Memory LLM Agents via Online Max-Member Clustering and Atom-Aware Packing
Sep 4, 2026Jiahe Geng, Jinpeng Wang, Kun YuanLLM Agent Memory Memory Management for LLM Agents
KVMem: Virtualizing Million-Token Agent Workspaces on a Consumer GPU
Sep 4, 2026Di Chai, Leye Wang, Zeshen Su +2Memory Management for LLM Agents LLM Context Management
Shanghai University of Finance and Economics · Peking University · Northwestern Polytechnical University +1
EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor Hypergraph
Sep 3, 2026Zeyang Cui, Jiannong Cao, Zhiyuan Wen +3Agent Memory Memory Management for LLM Agents
The Hong Kong Polytechnic University Hong Kong, Hong Kong SAR · JIUTIAN Research, China Mobile Beijing, China
SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams
Sep 2, 2026Ao Yan, Xin Zhang, Jiawei Du +1Memory Management for LLM Agents LLM Agent Skill Learning
National University of Singapore, Singapore · Institute of Advanced Intelligence and Computing (IAIC), Singapore
Weighted Memory Tree: Remembering What Matters for Long-Horizon LLM Agents
Aug 21, 2026Quang Dao, Purvi Kathalkar, Kenneth EatonLLM Agent Memory Memory Management for LLM Agents
Rose-Hulman Institute of Technology · Georgia Institute of Technology · Georgia Tech Research Institute
LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation
Aug 13, 2026Dongfang Li, Zixuan Liu, Junmai Wang +6LLM Agent Memory Persistent Memory for Language Models
Harbin Institute of Technology, Shenzhen
LeanMem: Simple and Efficient Long-Term Memory for LLM Agents
Aug 4, 2026Yuxin Liao, Le Wu, Min Hou +3LLM Agent Memory Persistent Memory for Language Models
Hefei University of Technology
Zero-Mem: Zero-Token Memory Operations for LLM Agents
Jul 31, 2026Yilin Xiao, Zhehan Zhu, Yujing Zhang +8Persistent Memory for Language Models Long-Context QA
The Hong Kong Polytechnic University, Hong Kong SAR · School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics · School of Artificial Intelligence, Jilin University
Memory Provenance Laundering in LLM Agents: A Non-Amplification Firewall for Persistent Memory
Jul 31, 2026Jinghan Xu, Yiyong Xiao, Wanru Shao +2Persistent Memory for Language Models Agent Memory Poisoning

Oct 19, 2026J/K move · Enter open · S save

BetaMem: Learning to Remember a Changing World for Embodied Agents

Mai Liu, He Sun, Siru Zhong, Kerun Chen+4

Beta Infinity · Peking University · The Hong Kong University of Science and Technology (Guangzhou)+1

Long-Term Memory for Embodied Agents Memory Management for LLM Agents Memory-Augmented Language Model Agents

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Long-horizon embodied agents face temporal confusion and incomplete or distorted records, recurring errors from fixed memory rules, and growing storage and retrieval costs. We present BetaMem, a framework for building and evolving traceable long-term memory through six linked layers: working, spatial, entity, episodic, experiential, and procedural memory. A dual-level write contract constrains operation executability and source support for content: supervised fine-tuning learns compliant memory operations, while reinforcement learning combines repeated sampling with teacher verification of the original observations to reward complete, accurate records and penalize omissions, distortion, and unsupported content. We formulate failure-driven policy recursive self-improvement through diagnosis along the causal sequence of memory operations and local rule repairs gated by independent replay. Atomic tools frame storage, updates, retrieval, and forgetting as cost-utility allocation under storage and read budgets. Using the open-source Qwen3.5-9B model for memory generation, BetaMem achieves overall scores of 48.08% on M3-Bench-robot, 92.08% on LoCoMo, 72.6% on OpenEQA EM-EQA, and 62.4% on EgoLifeQA, the highest among the listed memory methods under their respective evaluation protocols. Training the model for memory generation raises the contract pass rate from 50.9% to 86.2% while reducing output tokens per stored action by 47.3%. A separate Qwen3-VL-8B-Instruct evaluation on EMem-Bench achieves an average success rate of 38.4% and an average error recurrence rate of 24.9%. We perform best among evaluated methods using comparably sized open-source models. Category results show that we have advantages in integrating information across observations, recalling events over long histories, and inferring personal habits.