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 252

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Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce
Jun 11, 2026Jetlir Duraj, Jayanth Yetukuri, Shuang Zhou +4LLM Agent Memory E-Commerce Search
eBay Inc.
PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding Agents
Jun 10, 2026Ripon Chandra Malo, Tong QiuAI Coding Agents LLM Agent Memory
University of Utah
Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory
Jun 9, 2026Suozhao Ji, Baodong Wu, Zehao Wang +8LLM Agent Memory Persistent Memory for Language Models
1Infinigence AI · 2Tsinghua University · 3Shanghai Jiaotong University
WebChallenger: A Reliable and Efficient Generalist Web Agent
Jun 9, 2026Jayoo Hwang, Xiaowen Zhang, Vedant PadwalLLM Agent Memory Web Agents
ML Collective · Independent
Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents
Jun 8, 2026Tianxiang Fei, Mingyang Song, Mao Zheng +1LLM Personalization Cognitive Modeling
Large Language Model Department, Tencent
H2HMem: A Multimodal Memory Benchmark for Agents in Human-Human Interactions
Jun 8, 2026Shiping Zhu, Yibo Yang, Zhengyang Wang +3Multimodal Memory LLM Agent Memory
Jilin University · Shanghai Jiao Tong University · University of California at Merced
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory
Jun 8, 2026Haoran Sun, Wenjie Li, Yujie Zhang +8Continual Learning for LLM Agents LLM Agent Memory
1Fudan University · 2Shanghai Artificial Intelligence Laboratory · University of Science and Technology of China +1
Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents
Jun 8, 2026Qianjun Pan, Yutao Yang, Junsong Li +5LLM Agent Memory LLM Agent Skill Learning
School of Computer Science and Technology, East China Normal University, Shanghai · Shanghai AI Laboratory
ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems
Jun 7, 2026Zhixun Tan, Qiang Chen, Tairan Huang +2Multi-Agent LLM Systems Multi-Agent Coordination
Central South University · The Hong Kong University of Science and Technology
From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory
Jun 7, 2026Yishuo Cai, Xingyu Guo, Xuancheng Huang +8Continual Learning for LLM Agents LLM Agent Memory
Peking University, Beijing, China · Central South University, Changsha, China · Zhipu AI, Beijing, China +3
Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents
Jun 6, 2026Xinyu Guan, Qianyang Zhao, Yuming DengLLM Agent Memory LLM Context Management
Alibaba Group, China
Rosetta Memory: Adaptive Memory for Cross-LLM Agents
Jun 5, 2026Hao Yang, Shiqi Shen, Haoxuan Li +3LLM Agent Memory Persistent Memory for Language Models
Gaoling School of Artificial Intelligence, Renmin University of China · Weixin, Tencent · Institute for Artificial Intelligence, Peking University
Less Context, More Accuracy: A Bi-Temporal Memory Engine for LLM Agents Where a Lean Retrieved Context Beats the Full History
Jun 5, 2026Liuyin WangLong-Context QA LLM Agent Memory
Independent Researcher
AdMem: Advanced Memory for Task-solving Agents
Jun 5, 2026Runzhe Wang, Huilin Lu, Shengjie Liu +2Continual Learning for LLM Agents LLM Agent Memory
Princeton University · Amazon · Arm
Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads
Jun 4, 2026Yasmine Omri, Ziyu Gan, Zachary Broveak +6Agent Memory LLM Agent Memory
Stanford University · Independent Researcher · MICAS, KU Leuven +1
TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management
Jun 4, 2026Shweta MishraLLM Agent Memory LLM Context Management
Independent Researcher, India.
TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory
Jun 4, 2026Ziming WangKnowledge Conflicts in Language Models LLM Agent Memory
The Hong Kong University of Science and Technology Hong Kong, Hong Kong SAR
Beyond Similarity: Trustworthy Memory Search for Personal AI Agents
Jun 4, 2026Jiawen Zhang, Kejia Chen, Jiachen Ma +7LLM Agent Memory AI Agent Security
Zhejiang University · Nanyang Technological University · Shanghai AI Laboratory +3
Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
Jun 4, 2026Shuo Ji, Yibo Li, Bryan HooiAgent Memory LLM Agent Memory
National University of Singapore, Singapore.
AdaMEM: Test-Time Adaptive Memory for Language Agents
Jun 4, 2026Yunxiang Zhang, Yiheng Li, Ali Payani +1Agent Memory Test-Time Adaptation
University of Michigan · 2Cisco Research.
PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents
Jun 3, 2026Yubo Hou, Jingwei Song, Hongbo Zhang +4LLM Personalization LLM Agent Memory
School of ASEE, Beihang University, Beijing, China · The University of Hong Kong, Hong Kong, China · Peking University, Beijing, China +3
RAMPART: Registry-based Agentic Memory with Priority-Aware Runtime Transformation
Jun 3, 2026Nikodem TomczakMulti-Agent LLM Systems LLM Agent Memory
Thulge Labs, Singapore
Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline
Jun 3, 2026Zhikai Chen, Jialiang Gu, Junyu Yin +6Agent Memory LLM Agent Memory
Michigan State University · George Mason University · Purdue University
eMEM: A Hybrid Spatio-Temporal Memory System For Embodied Agents
Jun 2, 2026A. Haroon Rasheed, Maria KabtoulLLM Agent Memory Memory Agent Benchmarks
MIND · Automatika Robotics Inria, France · CHROMA
MemTrain: Self-Supervised Context Memory Training
Jun 2, 2026Ziheng Li, Xingrun Xing, Haoqing Wang +2LLM Agent Memory Persistent Memory for Language Models
State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University · Samsung Research, Beijing, China
DELTAMEM: Incremental Experience Memory for LLM Agents via Residual Trees
Jun 2, 2026Haoran Tan, Zeyu Zhang, Zhicheng Cao +2Continual Learning for LLM Agents LLM Agent Memory
Gaoling School of Artificial, Renmin University of China, Beijing, China · Beijing Key Laboratory of Research on Large Models and Intelligent Governance · Engineering Research Center of Next-Generation Intelligent Search and Recommendation, MOE +1
Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents
Jun 1, 2026Ailiya Borjigin, Igor Stadnyk, Ben Bilski +4LLM Agent Memory LLM Agents
True Trading
Don't Ask the LLM to Track Freshness: A Deterministic Recipe for Memory Conflict Resolution
May 31, 2026Vikas Reddy, Sumanth ChallaramLLM Agent Memory AI Agent Benchmarks
CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Cloud-Edge Systems
May 30, 2026Yannan Wang, Longli Yang, Zhen Liu +2LLM Agent Memory Edge Computing
Beijing Jiaotong University · WMG, University of Warwick · The Alan Turing Institute +2
AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
May 29, 2026Weitong Qian, Beicheng Xu, Zhongao Xie +16Multi-Agent LLM Systems LLM Agent Memory
Peking University, Beijing, China

Jun 11, 2026, cs.AIJ/K move · Enter open · S save

Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce

Jetlir Duraj, Jayanth Yetukuri, Shuang Zhou, Dhruv Varma+3

eBay Inc.

LLM Agent Memory E-Commerce Search LLM Agent Evaluation AI Agent Benchmarks Conversational Agents

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We present a modular two-agent simulation framework for evaluating conversational shopping assistant architectures. An independent buyer agent, configured with personas, missions, and patience levels, is paired with an interchangeable responder that integrates with a real e-commerce search API. Holding the buyer constant across experiments enables controlled comparison of responder designs on identical scenarios. Using 2011 conversations across 14 persona buckets, we establish four empirical findings. First, rolling-window memory outperforms intent-extraction memory on all quality metrics while being 35% faster per query. Second, illustrating rapid evidence-driven iteration, a systematic failure analysis of a responder version enables targeted fixes that reduce failure and near-failure rates by 62% across the full dataset. Third, swapping the responder LLM backbone from Gemini~~2.5 to Llama~~3.3~70B costs 0.16--0.45 points despite identical architecture. Finally, we document systematic philosophical disagreement between frontier LLM judges: Gemini rewards process correctness while Claude demands concrete outcomes, despite using the same evaluation prompt.

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Latest papers 252