Agentic memory systems enable large language model (LLM) agents to maintain state across long interactions, supporting long-horizon reasoning and personalization beyond fixed context windows. Despite rapid architectural development, the empirical foundations of these systems remain fragile: existing benchmarks are often underscaled, evaluation metrics are misaligned with semantic utility, performance varies significantly across backbone models, and system-level costs are frequently overlooked. This survey presents a structured analysis of agentic memory from both architectural and system perspectives. We first introduce a concise taxonomy of MAG systems based on four memory structures. Then, we analyze key pain points limiting current systems, including benchmark saturation effects, metric validity and judge sensitivity, backbone-dependent accuracy, and the latency and throughput overhead introduced by memory maintenance. By connecting the memory structure to empirical limitations, this survey clarifies why current agentic memory systems often underperform their theoretical promise and outlines directions for more reliable evaluation and scalable system design.
SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions
University of North Dakota（北达科他大学）；Youngstown State University（青年州大学）；University of Toledo（托莱多大学）；University of Missouri（密苏里大学）；Tribhuvan University（特里布文大学）
LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios
Beijing Jiaotong University（北京交通大学）；Lancaster University（兰卡斯特大学）；Max Planck Institute for Informatics, Saarland Informatics Campus（马克斯·普朗克研究所（信息学）萨尔兰州信息学校区）；University of Electronic Science and Technology of China（电子科技大学）
From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0
Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) University of Granada（计算机科学与人工智能系，数据科学与计算智能安达卢西亚研究 institute，格拉纳达大学）；Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) University of Granada（软件工程系，数据科学与计算智能安达卢西亚研究 institute，格拉纳达大学）
A Security Analysis of Long-Horizon Agentic AI Systems: Threats, Evaluation, and Framework Development
Department of Computer Science, College of Computers and Information Technology, Taif University, KSA (Summer 2026)（计算机科学系，计算机与信息科技学院，泰夫大学，沙特阿拉伯（2026年夏季））
EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment
DAMO Academy, Alibaba Group（阿里巴巴达摩院）；The First Affiliated Hospital of Zhejiang Chinese Medical University（浙江中医药大学附属第一医院）；Shanghai Jiao Tong University（上海交通大学）；Hupan Lab（湖畔实验室）；Zhejiang University（浙江大学）
Agentic generation of verifiable rules for deterministic, self-expanding reaction classification
École Polytechnique Fédérale de Lausanne (EPFL)（洛桑联邦理工学院）；Laboratory for Chemical Technology, Ghent University（根特大学化学技术实验室）；NCCR Catalysis（瑞士国家研究能力中心催化项目）
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Cleveland State University（克利夫兰州立大学）；Kent State University（肯特州立大学）；Northeastern University（东北大学）；Roux Institute at Northeastern University（东北大学鲁克斯研究所）；University of Agder (UiA)（阿格德尔大学）
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
University of Oxford（牛津大学）；Shanghai AI Laboratory（上海人工智能实验室）；National University of Singapore（新加坡国立大学）；University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；Brown University（布朗大学）；University College London（伦敦大学学院）；University of Science and Technology of China（中国科学技术大学）；Imperial College London（伦敦帝国学院）；Dalian University of Technology（大连理工大学）；Chinese Academy of Sciences（中国科学院）；The Chinese University of Hong Kong（香港中文大学）；University of Georgia（佐治亚大学）；University of California, San Diego（加州大学圣地亚哥分校）；University of California, Santa Barbara（加州大学圣塔芭芭拉分校）；University of Bristol（布里斯托大学）
Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm
College of Computer Science, University of Exeter, Exeter, U.K.（埃克塞特大学计算机科学学院）；Sony China Research Laboratory, Beijing, China（索尼中国研究实验室）；School of Information Science and Engineering, Southeast University, Nanjing, China（东南大学信息科学与工程学院）；Purple Mountain Laboratories, Nanjing, China（紫金山实验室）；Information System Technology and Design Pillar, Singapore University of Technology and Design, Singapore（新加坡科技设计大学信息系统技术与设计支柱）
Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
University of Kairouan（卡鲁安大学）；SMART Lab, University of Tunis（图纳大学SMART实验室）；University of Sousse（索斯大学）；Riadi Lab, Compus Manouba（曼努巴大学里亚迪实验室）；University of Jandouba（贾杜巴大学）
