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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Eywa: Provenance-Grounded Long-Term Memory for AI Agents
May 29, 2026Resham JoshiLLM Agent Memory Persistent Memory for Language Models
Eywa
SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
May 29, 2026Sijia Wang, Dhanajit Brahma, Ricardo HenaoLLM Inference Efficiency Agent Memory
Duke University
ElasticMem: Latent Memory as a Learnable Resource for LLM Agents
May 29, 2026Tao Feng, Chongrui Ye, Tianyang Luo +5LLM Agent Memory Persistent Memory for Language Models
University of Illinois Urbana-Champaign · Nanyang Technological University
MemPoison: Bypassing Selective Memory Mechanisms to Plant Backdoors in LLM Agents
May 28, 2026Hongtao Wang, Se Yang, Yu Chen +1LLM Backdoor Attacks LLM Agent Memory
North China Electric Power University China · Tencent China · Tsinghua University China
Honest Lying: Understanding Memory Confabulation in Reflexive Agents
May 28, 2026Prakhar Dixit, Sadia Kamal, Tim OatesAI Agent Reliability LLM Self-Refinement
Department of Computer Science, University of Maryland Baltimore County, Baltimore, MD, USA.
WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction
May 28, 2026Chengzhi Liu, Yuzhe Yang, Sophia Xiao Pu +14Multimodal Memory LLM Agent Memory
University of California, Santa Barbara · Johns Hopkins University · Carnegie Mellon University +3
When Does Memory Help Multi-Trajectory Inference for Tool-Use LLM Agents?
May 27, 2026Xinzhe Li, Yaguang TaoInference-Time Search LLM Agent Memory
RMIT University
Ask Now, Use Later: Benchmarking the Proactivity Gap in Long-Lived LLM Agents
May 27, 2026Bin Wu, Guanyun Zou, Bingbing Wang +2LLM Agent Memory LLM Agent Evaluation
Beijing University of Posts and Telecommunications · Nanjing University of Aeronautics and Astronautics · Harbin Institute of Technology (Shenzhen) +1
MRMMIA: Membership Inference Attacks on Memory in Chat Agents
May 27, 2026Kai Chen, Yan Pang, Tianhao WangData Leakage Membership Inference Attacks
University of Virginia
PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft
May 26, 2026Yuchen Guo, Junli Gong, Weicheng Wang +3Continual Learning for LLM Agents LLM Agent Memory
Northwestern University · Northeastern University · South China University of Technology +2
AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents
May 26, 2026Hang Yu, Zifan Zheng, Jeff Z. Pan +3LLM Agent Memory Finance
University of Sydney · University of Edinburgh
VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions
May 26, 2026Yuxin Chen, Yi Zhang, Zhengzhou Cai +11LLM Agent Memory AI Agent Evaluation
1National University of Singapore · 2Meituan · University of Science and Technology of China +2
MemFail: Stress-Testing Failure Modes of LLM Memory Systems
May 26, 2026Ishir Garg, Neel Kolhe, Dawn Song +1LLM Agent Memory LLM Memory
University of California, Berkeley
Self-Evolving Multi-Agent Systems via Decentralized Memory
May 21, 2026Guangya Hao, Yunbo Long, Zhuokai ZhaoMulti-Agent LLM Systems LLM Agent Memory
University of Cambridge · University of Chicago
DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Agent Memory
May 21, 2026Jianing Yin, Tan Tang, Yingcai WuLLM Agent Memory Persistent Memory for Language Models
State Key Lab of CAD&CG, Zhejiang University
Mem- $π$ : Adaptive Memory through Learning When and What to Generate
May 20, 2026Xiaoqiang Wang, Chao Wang, Hadi Nekoei +5LLM Agent Memory RL for LLM Agents
1ServiceNow AI Research · 2Mila – Quebec AI Institute · 3Université de Montréal +3
MemGym: a Long-Horizon Memory Environment for LLM Agents
May 20, 2026Wujiang Xu, Yu Wang, Kai Mei +8LLM Agent Memory LLM Agent Evaluation
1Rutgers University · 2Capital One · 3Princeton University +1
Auto-Dreamer: Learning Offline Memory Consolidation for Language Agents
May 20, 2026Chongrui Ye, Yuxiang Liu, Yu Wang +5Continual Learning for LLM Agents Continual Learning
University of Illinois Urbana-Champaign · University of California San Diego
Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory
May 19, 2026Jingwei Sun, Jianing Zhu, Jiangchao Yao +2Memorization in Language Models LLM Agent Memory
TMLR Group, Hong Kong Baptist University · The University of Texas at Austin · Shanghai Jiao Tong University +1
PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
May 19, 2026Zhuohan Gu, Qizheng Zhang, Omar Khattab +1LLM Agent Memory Long-Context Inference
MIT CSAIL · Stanford University
EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
May 18, 2026Yuyao Wang, Zhongjian Zhang, Mo Chi +7LLM Agent Memory LLM Agent Evaluation
Hong Kong University of Science and Technology (Guangzhou) · Beijing University of Posts and Telecommunications · Beijing Institute of Technology +1
Episodic-Semantic Memory Architecture for Long-Horizon Scientific Agents
May 17, 2026Nikola MilosevicLLM Agent Memory Long-Horizon LLM Agents
Serbian Institute for Artificial Intelligence Research and Development, Fruskogorska 1, Novi Sad, Serbia · Bayer A.G., Müllerstrasse 178, 13353 Berlin, Germany
NeuSymMS: A Hybrid Neuro-Symbolic Memory System for Persistent, Self-Curating LLM Agents
May 17, 2026Mujahid Sultan, Sri Thuraisamy, Daya RajaratnamLLM Agent Memory Neuro-Symbolic Reasoning
†MLSoft Inc., Toronto, Ontario, Canada · ∗iVedha Corporation, Toronto, Ontario, Canada
MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing
May 16, 2026Han Chen, Zining Zhang, Wenqi Pei +6LLM Agent Memory Hierarchical Memory
National University of Singapore · Singapore, Singapore · Zero Gravity Labs +1
State Contamination in Memory-Augmented LLM Agents
May 16, 2026Yian Wang, Agam Goyal, Yuen Chen +1LLM Agent Memory LLM Agent Safety
Department of Computer Science, University of Illinois Urbana-Champaign
FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast
May 15, 2026Igor Bogdanov, Chung-Horng Lung, Thomas Kunz +3LLM Agent Memory LLM Agent Self-Improvement
Carleton University Ottawa, Ontario, Canada · Defence R&D Canada Ottawa, Ontario, Canada · Cistel Technology Ottawa, Ontario, Canada
BootstrapAgent: Distilling Repository Setup into Reusable Agent Knowledge
May 15, 2026Sihan Fu, Oucheng Liu, Shiyuan Wang +2Software Engineering Agents LLM Agent Memory
Zhejiang University · The Australian National University · Institute of Information Engineering, Chinese Academy of Sciences
DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory
May 15, 2026Wentao Qiu, Haotian Hu, Fanyi Wang +2LLM Agent Memory Persistent Memory for Language Models
1StepOS · 2Xiamen University · 3ShanghaiTech University
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

May 29, 2026, cs.CLJ/K move · Enter open · S save

Eywa: Provenance-Grounded Long-Term Memory for AI Agents

Resham Joshi

Eywa

LLM Agent Memory Persistent Memory for Language Models Long-Term Conversational Memory Agent Memory Management

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AI agents that persist across sessions need memory they can retrieve, audit, update, and erase. Existing memory systems often collapse source evidence, extracted facts, retrieved context, and answer policy into one opaque prompt path, making failures difficult to diagnose: a wrong answer may come from missing evidence, unsupported extraction, stale state, retrieval loss, or answer-model behavior. We present Eywa, a provenance-grounded memory architecture built around evidence before belief. Eywa stores immutable source evidence before deriving canonical facts, validates extracted memories against typed signals and source support, and retrieves bounded memory context through a deterministic multi-route read path with zero LLM calls inside retrieval. Retrieved context is returned separately from answer instructions, allowing the same memory substrate to be evaluated across frontier, budget, and local answer models. Under a frozen, artifact-recorded retrieval configuration, Eywa reaches 90.19% judge accuracy on the LoCoMo C1-C4 split with Claude Sonnet 4.6 write and QA roles. On LongMemEval-S, it reaches 88.2% retrieval-sufficiency accuracy. On BEAM, a 700-question technical-memory stress benchmark, it reaches 81.45% mean nugget score and 85.29% pass@score >= 0.5. Full per-question artifacts, including questions, gold answers, model answers, retrieved context, and labels, are published at https://eywa.to/research.

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