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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Agent Memory with Episodic Retrieval for Financial Decision-Making
Sep 23, 2026Nuoyue Xu, Jiang Liu, Wenxuan Huang +3Multi-Agent LLM Systems LLM Agent Memory
University of British Columbia · University of Science and Technology of China · Fudan University +1
Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity
Sep 22, 2026Zhening Li, Joshua Liu, Mateja Vukelic +7LLM Agent Memory LLM Agent Self-Improvement
MIT CSAIL · Independent Researcher
Learned Enterprise Data Comprehension: Compression and Routing for Data Agents
Sep 21, 2026Ethan Torres, Eric MillsLLM Agent Memory LLM Agent Routing
MemCalib: Benchmarking and Optimizing Memory Use in LLM Agents
Sep 21, 2026Ruike Cao, Fanyu Zhao, Fugen Yao +5LLM Agent Memory Memory Agent Benchmarks
University of Science and Technology of China · Qwen Business Unit of Alibaba · Fudan University
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
Total Cost of Agency: Exact Attribution of Memory Injection Cost in Multi-Agent LLM Workflows
Sep 20, 2026Vivek Kumar Singh, Preeti Priyam, Gautam BhowmickLLM Agent Memory Cost-Aware Inference
Independent Researcher McKinney, TX, USA · Independent Researcher Chicago, IL, USA
RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
Sep 20, 2026Fanyu Zhao, Ruike Cao, Liang Dong +6Continual Learning for LLM Agents LLM Agent Memory
Fudan University · Qwen Business Unit of Alibaba
PSD: Pseudo Self-Distillation of Memory Representation Capabilities for LLM Agents
Sep 20, 2026Pirzada Suhail, Menglin Xia, Xuchao Zhang +3LLM Agent Memory Persistent Memory for Language Models
Microsoft Research
LifeFuse-Mem: Lifecycle-Aware State Fusion Against Temporary Overwriting for Long-Term Memory
Sep 14, 2026Hanyu Zhao, Yuqian Feng, Zhenyu Song +4LLM Agent Memory Persistent Memory for Language Models
Beijing Academy of Artificial Intelligence · University of Chinese Academy of Sciences · Institute of Software, Chinese Academy of Sciences +1
ROAM: Robust Organization of Atomic Memories for Agents through Semantic Relations
Sep 9, 2026Jianjie Zheng, Peng Lai, Sijie Cheng +3LLM Agent Memory Persistent Memory for Language Models
Southern University of Science and Technology · Tsinghua University · Deepexi Technology Co. Ltd.
Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluation
Sep 8, 2026Dac Duy Anh Nguyen, Zhangchi Qiu, Shigeng Chen +1LLM Agent Memory Graph-Based Agent Memory
School of ICT Griffith University Brisbane, Australia · School of ICT Griffith University Gold Coast, Australia
Personalizing LLM Agent Memory Using Biometrics
Sep 8, 2026Yanhong Qian, Qingguo Meng, Shihao Ding +4Conversational Memory LLM Agent Memory
Anhui Provincial Key Laboratory of Secure Artificial Intelligence, School of Artificial Intelligence, Anhui University, Hefei 230093, China · National Institute of Informatics, Tokyo 101-8430, Japan
CreaMem: A Scene-Aware Memory Architecture for Personalized Agents
Sep 8, 2026Qixuan Sun, Yue Que, Bowei He +4LLM Agent Memory Episodic Memory
City University of Hong Kong, Hong Kong SAR, China · AgentWoods Inc., San Francisco · Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
What Eviction Destroys: A Restore-Counterfactual Audit of Forgetting in Agent Memory
Sep 8, 2026Chen ShenCounterfactual Evaluation LLM Agent Memory
Megagon Labs
Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing
Sep 7, 2026Weizhe Wang, Yitong Zhang, Yao Zhang +4LLM Agent Memory LLM Agent Security
Tianjin University, Tianjin, 300072, China · Changchun University of Science and Technology, Changchun, 130022, China · Jilin Province Key Laboratory of Network and Information Security, Changchun, 130022, China +1
When Users Don't Ask: Benchmarking Context-Driven Memory Retrieval in Conversational Agents
Sep 3, 2026Wen-Yu Chang, Yun-Nung ChenConversational Memory LLM Agent Memory
National Taiwan University, Taipei, Taiwan
Plan Pointers and Record-Directive Form in Budgeted Verification of Inherited Agent Memory
Sep 3, 2026Kazuki NakayashikiLLM Agent Memory LLM Agent Verification
Glasp
The Memory Trust Gap: Capability-Dependent Failures in Persistent-Memory Agents
Sep 1, 2026Jundong Hu, Shekar RamachandranKnowledge Conflicts in Language Models LLM Agent Memory
PayPal AI
Agent Memory Is a Surface for Endogenous Authorization Laundering
Sep 1, 2026Tommaso Cerruti, Mika Okamoto, Ansel Kaplan ErolLLM Agent Memory LLM Agent Security
ETH Zurich · Georgia Institute of Technology
Making Prospective Memory SLM-Shaped: Typed Intention Stores for Small-Model Agents
Sep 1, 2026Jinqing Zhao, Chengcan WuLLM Agent Memory Small Language Models
Peking University
Invalidation Contracts for Cross-Episode Agent Memory
Aug 31, 2026Michael Wu, Arquimedes CanedoLLM Agent Memory Agent Memory Management
Siemens Digital Industries Software Princeton, NJ, USA
UTILMEM: Benchmarking Evidence Utilization in Long-Term Conversational Memory
Aug 31, 2026Peijun Qing, Fobo Shi, Soroush VosoughiLLM Agent Memory Memory Agent Benchmarks
Dartmouth College · Wuhan University
CONTRAMEM: Learning Self-Evolving Procedural Memory from Contrasting Multi-Model Trajectories
Aug 23, 2026Zheyuan Deng, Binghang Lu, Hanqi Feng +11Computer-Use Agents LLM Agent Memory
Brown University · Purdue University · Carnegie Mellon University +6
Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectories
Aug 20, 2026Hexi Wang, Yujia Zhou, Bangde Du +7Human Behavior Simulation LLM Agent Memory
Department of Computer Science and Technology, Tsinghua University · Quan Cheng Laboratory
LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation
Aug 13, 2026Dongfang Li, Zixuan Liu, Junmai Wang +5LLM Agent Memory Persistent Memory for Language Models
Harbin Institute of Technology, Shenzhen
Spatial Memory Agent: Experience-Grounded Procedural Memory for Spatial Intelligence
Aug 13, 2026Haokai Zhang, Yuhang Ding, Yunshu Zhou +5Memory-Augmented VLMs Visual Spatial Reasoning
Zhejiang University · Shanghai Jiao Tong University · Shanghai Innovation Institute
ERSkill: Evolving for Skill-Guided Adaptive Memory Retrieval
Aug 13, 2026Haolong Chen, Liang Zhang, Zhuo Li +2LLM Agent Memory LLM Agent Skill Learning
Shenzhen International Center for Industrial and Applied Mathematics · Shenzhen Research Institute of Big Data · The Chinese University of Hong Kong, Shenzhen +2
Total Recall at What Cost? Benchmarking the Serving Cost of Agentic Memory Systems
Aug 12, 2026Natchanon Pollertlam, Witchayut KornsuwannawitLLM Serving LLM Agent Memory
Bricks Technology · Thailand
Self-Correcting Long-Horizon Search Agents via Tree-Structured Memory
Aug 11, 2026Aijun Yang, Qianxue Guo, Ziyi Huang +3Agentic Search LLM Agent Memory
Shanghai Jiao Tong University
Muscle Memory for Agents: Compile not Merely Retrieve
Aug 10, 2026Pouya Ghiasnezhad Omran, Soujanya Lanka, Qin Zhang +1Conversational Memory LLM Agent Memory
Google Cloud FDE

Sep 23, 2026, cs.AIJ/K move · Enter open · S save

Agent Memory with Episodic Retrieval for Financial Decision-Making

Nuoyue Xu, Jiang Liu, Wenxuan Huang, Xiang Zhang+2

University of British Columbia · University of Science and Technology of China · Fudan University+1

Multi-Agent LLM Systems LLM Agent Memory Algorithmic Trading Financial Decision-Making Memory-Augmented Language Model Agents

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Large language models (LLMs) have demonstrated strong capabilities in financial analysis and reasoning, inspiring recent advances in agent-based trading frameworks. While these systems show promise, prior approaches either emphasize long-horizon forecasting or operate as stateless analyzers, limiting their applicability to the demands of trading in complicated settings. To address these gaps, we introduce META (Memory Enhanced Trading Agent), the first RAG-like episodic-memory-augmented multi-agent framework for financial decision making. META integrates a family of specialized indicator agents (e.g., Trend, MACD, Stochastic, RSI, SMA, AVWAP, Heikin-Ashi) with a Decision Agent that fuses their reports, and a Memory module that retrieves and updates past trading episodes encoded as market state embeddings with outcomes and reflections. By recalling relevant experiences and adaptively reweighting signals under similar market regimes, META achieves improved directional accuracy and robustness under short-horizon evaluation. Our results demonstrate that episodic memory provides a powerful mechanism for regime-aware, interpretable, and low-latency decision-making in trading and decision making. The code of this project is released on GitHub.

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