Agent Memory Management

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It gives language and embodied agents persistent state beyond a context window, supporting personalization, multi-step work, and adaptation as facts change. Systems range from raw-log and vector-search stores to episodic-semantic hierarchies, temporal or provenance-aware graphs, and learned controllers that decide what to write, retrieve, consolidate, or discard. Evaluations use long-dialogue question answering benchmarks such as LoCoMo and LongMemEval, alongside tool-use, coding, and GUI tasks, measuring accuracy as well as token cost, latency, retention, and stale or unsafe recall. The central challenge is balancing useful evidence and traceability against bounded storage and computation: retention cannot help if retrieval fails, while compression, updates, and sharing can lose, stale, or expose information, and no design works best across all workloads.

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449 papers68 papers in the last four weeks, up 8% on the four weeks before. 0.4% of all new papers.

Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers
Mar 8, 2026Pengfei DuLLM Agent Memory Agent Memory Management
Hong Kong Research Institute of Technology, HongKong, China
Did You Check the Right Pocket? Cost-Sensitive Store Routing for Memory-Augmented Agents
Mar 8, 2026Madhava GaikwadMemory-Augmented Agents Agent Memory Management
Adaptive Memory Admission Control for LLM Agents
Mar 4, 2026Guilin Zhang, Wei Jiang, Xiejiashan Wang +5LLM Agent Memory Agent Memory Management
Workday AI
Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory
Mar 4, 2026Zhenting Wang, Huancheng Chen, Jiayun Wang +1LLM Agent Memory Memory Management for LLM Agents
Center for Advanced AI, Accenture
CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic Systems
Mar 3, 2026Pearl Mody, Mihir Panchal, Rishit Kar +2Agent Memory Agent Memory Management
Dwarkadas Jivanlal Sanghvi College of Engineering
Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory
Mar 2, 2026Boqin Yuan, Yue Su, Kun YaoLLM Agent Memory Agent Memory Management
University of California, San Diego · Carnegie Mellon University · University of North Carolina
AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
Mar 2, 2026Cheng Jiayang, Dongyu Ru, Lin Qiu +4Agent Memory Management Memory Agent Benchmarks
The Hong Kong University of Science and Technology · Meituan
Persistent Identity in AI Agents: A Multi-Anchor Architecture for Resilient Memory and Continuity
Mar 2, 2026Prahlad G. MenonAgent Memory Persistent Memory for Language Models
The Menon Lab
MemPO: Self-Memory Policy Optimization for Long-Horizon Agents
Feb 28, 2026Ruoran Li, Xinghua Zhang, Haiyang Yu +7Agent Memory Management Memory-Augmented Agents
Tsinghua University · Tongyi Lab, Alibaba Group
HTM-EAR: Importance-Preserving Tiered Memory with Hybrid Routing under Saturation
Feb 27, 2026Shubham Kumar SinghAgent Memory Management Hierarchical Memory
KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning
Feb 27, 2026Zebin Yang, Tong Xie, Baotong Lu +3Agent Memory Management Memory-Augmented Language Models
Institute for Artificial Intelligence · School of Integrated Circuits · Microsoft Research +2
Towards Autonomous Memory Agents
Feb 25, 2026Xinle Wu, Rui Zhang, Mustafa Anis Hussain +1Memory-Augmented Language Model Agents Memory Management for LLM Agents
National University of Singapore, Singapore
Contextual Memory Virtualisation: DAG-Based State Management and Structurally Lossless Trimming for LLM Agents
Feb 25, 2026Cosmo SantoniLLM Context Management Agent Memory Management
Imperial College London
Pancake: Hierarchical Memory System for Multi-Agent LLM Serving
Feb 25, 2026Zhengding Hu, Zaifeng Pan, Prabhleen Kaur +6Memory Management for LLM Agents Agent Memory Management
Computer Science and Engineering, University of California, San Diego
Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations
Feb 22, 2026Dongming Jiang, Yi Li, Songtao Wei +8Agent Memory Agent Memory Management
University of Texas at Dallas · University of California, Davis · Texas A&M University
AMV-L: Lifecycle-Managed Agent Memory for Tail-Latency Control in Long-Running LLM Systems
Feb 22, 2026Emmanuel BamideleMemory Management for LLM Agents Agent Memory Management
Department of Computer Science, Georgia Institute of Technology
From Lossy to Verified: A Provenance-Aware Tiered Memory for Agents
Feb 20, 2026Qiming Zhu, Shunian Chen, Rui Yu +2Agent Memory Agent Memory Management
School of Data Science, The Chinese University of Hong Kong, Shenzhen.
Revolutionizing Long-Term Memory in AI: New Horizons with High-Capacity and High-Speed Storage
Feb 18, 2026Hiroaki Yamanaka, Daisuke Miyashita, Takashi Toi +3Agent Memory Agent Memory Management
AI & System Research Center, Kioxia Corporation, Yokohama, Japan
SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Memory Poisoning
Feb 17, 2026Varun Pratap BhardwajAgent Memory Agent Memory Management
Independent Research
Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
Feb 13, 2026Kehao Zhang, Shangtong Gui, Sheng Yang +2Persistent Memory for Language Models Long-Context Inference
1Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS) · University of Chinese Academy of Sciences, Beijing, China · 4Li Auto Inc. +1
Evaluating Memory Structure in LLM Agents
Feb 11, 2026Alina Shutova, Alexandra Olenina, Ivan Vinogradov +1LLM Agent Memory LLM Agent Evaluation
HSE University · Yandex · YSDA +1
Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
Feb 3, 2026Menglin Xia, Xuchao Zhang, Shantanu Dixit +6Agent Memory Retrieval-Augmented Generation
M365 Research, Microsoft.
ShardMemo: Scope-Before-Routing for Agentic Memory Retrieval
Jan 29, 2026Yang Zhao, Chengxiao Dai, Mengying Kou +2Agentic Retrieval Information Retrieval
Anonymous
AMA: Adaptive Memory via Multi-Agent Collaboration
Jan 28, 2026Weiquan Huang, Zixuan Wang, Hehai Lin +6Long-Term Conversational Memory Multi-Agent LLMs
The Hong Kong University of Science and Technology (Guangzhou) · Shandong University · Nanyang Technological University +1
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction
Jan 8, 2026Muzhao Tian, Zisu Huang, Xiaohua Wang +8Long-Term Conversational Memory Conversational Agents
College of Computer Science and Artificial Intelligence, Fudan University Shanghai Key Laboratory of Intelligent Information Processing
Beyond Static Summarization: Proactive Memory Extraction for LLM Agents
Jan 8, 2026Chengyuan Yang, Zequn Sun, Wei Wei +1LLM Agent Memory Persistent Memory for Language Models
State Key Laboratory for Novel Software Technology, Nanjing University, China · National Institute of Healthcare Data Science, Nanjing University, China
Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents
Jan 7, 2026Dehao Tao, Guoliang Ma, Yongfeng Huang +1LLM Memory Long-Term Conversational Memory
Tsinghua University · Xinjiang University
SEDM: Selective Self-Evolving Distributed Memory for Agents
Sep 11, 2025Yichen Liu, Anna Min, Yinzhi Wang +14LLM Agent Memory Agent Memory Management
Gradient · Zhejiang University · Rice University
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
Jul 7, 2025Yuanzhe Hu, Yu Wang, Julian McAuleyLLM Agent Memory LLM Agent Evaluation
University of California, San Diego

Mar 8, 2026J/K move · Enter open · S save

Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers

Pengfei Du

Hong Kong Research Institute of Technology, HongKong, China

LLM Agent Memory Agent Memory Management Memory-Augmented Language Model Agents LLM Context Management Memory Agent Benchmarks

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Large language model (LLM) agents increasingly operate in settings where a single context window is far too small to capture what has happened, what was learned, and what should not be repeated. Memory -- the ability to persist, organize, and selectively recall information across interactions -- is what turns a stateless text generator into a genuinely adaptive agent. This survey offers a structured account of how memory is designed, implemented, and evaluated in modern LLM-based agents, covering work from 2022 through early 2026. We formalize agent memory as a write--manage--read loop tightly coupled with perception and action, then introduce a three-dimensional taxonomy spanning temporal scope, representational substrate, and control policy. Five mechanism families are examined in depth: context-resident compression, retrieval-augmented stores, reflective self-improvement, hierarchical virtual context, and policy-learned management. On the evaluation side, we trace the shift from static recall benchmarks to multi-session agentic tests that interleave memory with decision-making, analyzing four recent benchmarks that expose stubborn gaps in current systems. We also survey applications where memory is the differentiating factor -- personal assistants, coding agents, open-world games, scientific reasoning, and multi-agent teamwork -- and address the engineering realities of write-path filtering, contradiction handling, latency budgets, and privacy governance. The paper closes with open challenges: continual consolidation, causally grounded retrieval, trustworthy reflection, learned forgetting, and multimodal embodied memory.