arxiv_id,published,period,title,url,title_central,screen_relevance,screen_problem,screen_source,themes,title_themes,evidence_score,matched_queries
2501.13956,2025-01-20,2025-H1,Zep: A Temporal Knowledge Graph Architecture for Agent Memory,https://arxiv.org/abs/2501.13956,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;systems_efficiency,retrieval_representation;systems_efficiency,7,agent-memory
2501.12485,2025-01-21,2025-H1,"R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory",https://arxiv.org/abs/2501.12485,True,core,update_forgetting,model,representation_organization;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,4,agent-memory
2501.18160,2025-01-30,2025-H1,RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing,https://arxiv.org/abs/2501.18160,False,core,execution_state,model,evaluation_diagnosis;systems_efficiency,,6,agent-memory
2502.06975,2025-02-10,2025-H1,Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents,https://arxiv.org/abs/2502.06975,True,core,execution_state,model,retrieval_access;systems_efficiency,,0,episodic-memory
2502.10177,2025-02-14,2025-H1,STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning,https://arxiv.org/abs/2502.10177,True,core,update_forgetting,model,representation_organization;execution_state;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,6,agent-memory
2502.10550,2025-02-14,2025-H1,"Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning",https://arxiv.org/abs/2502.10550,True,core,representation,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;experience_skill_policy;execution_multimodal,2,agent-memory;memory-evaluation
2502.12110,2025-02-17,2025-H1,A-MEM: Agentic Memory for LLM Agents,https://arxiv.org/abs/2502.12110,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;systems_efficiency,,6,agent-memory
2502.13172,2025-02-17,2025-H1,Unveiling Privacy Risks in LLM Agent Memory,https://arxiv.org/abs/2502.13172,True,core,security_privacy,model,security_privacy_trust,security_governance,2,agent-memory
2502.16090,2025-02-22,2025-H1,Echo: A Large Language Model with Temporal Episodic Memory,https://arxiv.org/abs/2502.16090,True,core,execution_state,model,retrieval_access;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui,,6,episodic-memory
2502.19145,2025-02-26,2025-H1,Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems,https://arxiv.org/abs/2502.19145,False,core,security_privacy,model,evaluation_diagnosis;security_privacy_trust;multi_agent_shared,security_governance;personal_shared,2,agent-memory
2503.03704,2025-03-05,2025-H1,Memory Injection Attacks on LLM Agents via Query-Only Interaction,https://arxiv.org/abs/2503.03704,True,core,execution_state,model,retrieval_access;security_privacy_trust;multimodal_embodied_gui,security_governance,2,agent-memory
2503.04392,2025-03-06,2025-H1,AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management,https://arxiv.org/abs/2503.04392,False,core,security_privacy,model,representation_organization;security_privacy_trust;multi_agent_shared,retrieval_representation;personal_shared,5,agent-memory
2503.21760,2025-03-27,2025-H1,MemInsight: Autonomous Memory Augmentation for LLM Agents,https://arxiv.org/abs/2503.21760,True,core,experience_learning,model,retrieval_access;representation_organization,,5,long-term-memory
2503.23514,2025-03-30,2025-H1,"If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs",https://arxiv.org/abs/2503.23514,False,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multi_agent_shared,benchmark_diagnosis;experience_skill_policy,6,episodic-memory
2504.09283,2025-04-12,2025-H1,Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale,https://arxiv.org/abs/2504.09283,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis,update_forgetting,2,agent-memory
2504.16946,2025-04-18,2025-H1,MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation,https://arxiv.org/abs/2504.16946,False,core,experience_learning,model,evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,systems_efficiency,6,agent-memory
2504.15263,2025-04-21,2025-H1,Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning,https://arxiv.org/abs/2504.15263,True,core,experience_learning,model,evaluation_diagnosis;multimodal_embodied_gui,,5,long-term-memory
2504.20117,2025-04-28,2025-H1,ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies,https://arxiv.org/abs/2504.20117,False,core,update_forgetting,model,retrieval_access;execution_state;evaluation_diagnosis;multi_agent_shared,retrieval_representation;personal_shared,7,long-term-memory
2505.00472,2025-05-01,2025-H1,UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces,https://arxiv.org/abs/2505.00472,True,core,update_forgetting,model,experience_skill_learning;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,,2,agent-memory
2505.05177,2025-05-08,2025-H1,MARK: Memory Augmented Refinement of Knowledge,https://arxiv.org/abs/2505.05177,True,core,update_forgetting,model,retrieval_access;representation_organization;systems_efficiency,systems_efficiency,1,agent-memory
2505.12923,2025-05-19,2025-H1,The Traitors: Deception and Trust in Multi-Agent Language Model Simulations,https://arxiv.org/abs/2505.12923,False,core,experience_learning,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared,security_governance;personal_shared,2,long-term-memory
2505.13941,2025-05-20,2025-H1,MLZero: A Multi-Agent System for End-to-end Machine Learning Automation,https://arxiv.org/abs/2505.13941,False,core,update_forgetting,model,evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui,experience_skill_policy;personal_shared,5,episodic-memory
2505.14163,2025-05-20,2025-H1,DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation,https://arxiv.org/abs/2505.14163,False,core,experience_learning,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy;systems_efficiency,6,long-term-memory
2505.16067,2025-05-21,2025-H1,How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior,https://arxiv.org/abs/2505.16067,True,core,experience_learning,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;experience_skill_policy,3,agent-memory
2505.16348,2025-05-22,2025-H1,Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization,https://arxiv.org/abs/2505.16348,True,core,experience_learning,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal;personal_shared,4,agent-memory;episodic-memory
2505.18279,2025-05-23,2025-H1,Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control,https://arxiv.org/abs/2505.18279,True,supporting,shared_memory,model,representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;systems_efficiency,personal_shared,0,long-term-memory
2505.19237,2025-05-25,2025-H1,Sensorimotor Self-Recognition in Multimodal Large Language Model-Driven Robots,https://arxiv.org/abs/2505.19237,False,core,representation,model,representation_organization;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,1,episodic-memory
2505.19436,2025-05-26,2025-H1,Task Memory Engine: Spatial Memory for Robust Multi-Step LLM Agents,https://arxiv.org/abs/2505.19436,True,core,representation,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;security_privacy_trust,execution_multimodal,7,long-term-memory
2505.20231,2025-05-26,2025-H1,MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents,https://arxiv.org/abs/2505.20231,True,supporting,representation,model,retrieval_access;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,4,long-term-memory
2505.22657,2025-05-28,2025-H1,3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model,https://arxiv.org/abs/2505.22657,True,core,representation,model,execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,7,episodic-memory
2506.01442,2025-06-02,2025-H1,Agentic Episodic Control,https://arxiv.org/abs/2506.01442,False,core,representation,model,retrieval_access;representation_organization;experience_skill_learning;systems_efficiency,,5,episodic-memory
2506.01936,2025-06-02,2025-H1,Should Decision-Makers Reveal Classifiers in Online Strategic Classification?,https://arxiv.org/abs/2506.01936,False,supporting,representation,model,,,2,agent-memory
2506.07398,2025-06-09,2025-H1,G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems,https://arxiv.org/abs/2506.07398,True,core,representation,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui,retrieval_representation;personal_shared,3,agent-memory
2506.12088,2025-06-10,2025-H1,"Risks & Benefits of LLMs & GenAI for Platform Integrity, Healthcare Diagnostics, Financial Trust and Compliance, Cybersecurity, Privacy & AI Safety: A Comprehensive Survey, Roadmap & Implementation Blueprint",https://arxiv.org/abs/2506.12088,False,peripheral,security_privacy,model,evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,benchmark_diagnosis;security_governance,3,agent-memory
2506.17318,2025-06-18,2025-H1,Context manipulation attacks : Web agents are susceptible to corrupted memory,https://arxiv.org/abs/2506.17318,True,supporting,representation,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,execution_multimodal;security_governance,5,agent-memory
2506.17338,2025-06-19,2025-H1,PBFT-Backed Semantic Voting for Multi-Agent Memory Pruning,https://arxiv.org/abs/2506.17338,True,supporting,representation,model,retrieval_access;update_forgetting;evaluation_diagnosis;multi_agent_shared;systems_efficiency,personal_shared,4,agent-memory
2506.19433,2025-06-24,2025-H1,Mem4Nav: Boosting Vision-and-Language Navigation in Urban Environments with a Hierarchical Spatial-Cognition Long-Short Memory System,https://arxiv.org/abs/2506.19433,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,retrieval_representation;execution_multimodal,6,long-term-memory
2507.02259,2025-07-03,baseline-2025H2-Jan2026,MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent,https://arxiv.org/abs/2507.02259,True,core,update_forgetting,model,update_forgetting;experience_skill_learning;systems_efficiency,experience_skill_policy,2,agent-memory
2507.04172,2025-07-05,baseline-2025H2-Jan2026,Gathering Teams of Bounded Memory Agents on a Line,https://arxiv.org/abs/2507.04172,False,peripheral,systems_cost,model,multimodal_embodied_gui,,0,agent-memory
2507.10562,2025-07-05,baseline-2025H2-Jan2026,SAMEP: A Secure Protocol for Persistent Context Sharing Across AI Agents,https://arxiv.org/abs/2507.10562,False,core,update_forgetting,model,retrieval_access;security_privacy_trust;multi_agent_shared;systems_efficiency,,5,agent-memory
2507.05257,2025-07-07,baseline-2025H2-Jan2026,Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions,https://arxiv.org/abs/2507.05257,True,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis,2,agent-memory
2507.05445,2025-07-07,baseline-2025H2-Jan2026,A Systematization of Security Vulnerabilities in Computer Use Agents,https://arxiv.org/abs/2507.05445,False,peripheral,security_privacy,model,evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,security_governance,2,agent-memory
2507.07957,2025-07-10,baseline-2025H2-Jan2026,MIRIX: Multi-Agent Memory System for LLM-Based Agents,https://arxiv.org/abs/2507.07957,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,personal_shared,6,agent-memory
2507.16713,2025-07-22,baseline-2025H2-Jan2026,A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World,https://arxiv.org/abs/2507.16713,False,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy;execution_multimodal,8,long-term-memory
2507.22925,2025-07-23,baseline-2025H2-Jan2026,Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents,https://arxiv.org/abs/2507.22925,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,retrieval_representation,6,long-term-memory
2507.21407,2025-07-29,baseline-2025H2-Jan2026,Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects,https://arxiv.org/abs/2507.21407,False,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui,retrieval_representation,0,long-term-memory
2508.00031,2025-07-30,baseline-2025H2-Jan2026,Git Context Controller: Manage the Context of LLM-based Agents like Git,https://arxiv.org/abs/2508.00031,False,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;systems_efficiency,,5,agent-memory
2508.01287,2025-08-02,baseline-2025H2-Jan2026,Exploitation Is All You Need... for Exploration,https://arxiv.org/abs/2508.01287,False,peripheral,systems_cost,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis,,4,agent-memory
2508.01415,2025-08-02,baseline-2025H2-Jan2026,RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Interactive Environmental Learning in Physical Embodied Systems,https://arxiv.org/abs/2508.01415,True,core,update_forgetting,model,representation_organization;update_forgetting;execution_state;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;execution_multimodal,6,agent-memory
2508.03341,2025-08-05,baseline-2025H2-Jan2026,What Deserves Memory: Adaptive Memory Distillation for LLM Agents,https://arxiv.org/abs/2508.03341,True,supporting,experience_learning,model,update_forgetting;experience_skill_learning;systems_efficiency,experience_skill_policy,3,episodic-memory
2508.05002,2025-08-07,baseline-2025H2-Jan2026,AgenticData: An Agentic Data Analytics System for Heterogeneous Data,https://arxiv.org/abs/2508.05002,False,supporting,execution_state,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;multi_agent_shared,,5,agent-memory
2508.07010,2025-08-09,baseline-2025H2-Jan2026,Narrative Memory in Machines: Multi-Agent Arc Extraction in Serialized TV,https://arxiv.org/abs/2508.07010,True,supporting,execution_state,model,representation_organization;update_forgetting;multi_agent_shared;multimodal_embodied_gui,personal_shared,4,episodic-memory
2508.08997,2025-08-12,baseline-2025H2-Jan2026,Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual Memory,https://arxiv.org/abs/2508.08997,True,core,update_forgetting,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;systems_efficiency,retrieval_representation;personal_shared,3,agent-memory
2508.09486,2025-08-13,baseline-2025H2-Jan2026,Video-EM: Event-Centric Episodic Memory for Long-Form Video Understanding,https://arxiv.org/abs/2508.09486,True,supporting,experience_learning,model,retrieval_access;experience_skill_learning;multimodal_embodied_gui,execution_multimodal,0,agent-memory;episodic-memory
2508.12630,2025-08-18,baseline-2025H2-Jan2026,Semantic Anchoring in Agentic Memory: Leveraging Linguistic Structures for Persistent Conversational Context,https://arxiv.org/abs/2508.12630,True,supporting,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,retrieval_representation;execution_multimodal,7,agent-memory
2508.13250,2025-08-18,baseline-2025H2-Jan2026,Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information,https://arxiv.org/abs/2508.13250,True,core,update_forgetting,model,retrieval_access;evaluation_diagnosis,personal_shared,5,agent-memory
2508.15294,2025-08-21,baseline-2025H2-Jan2026,A Multi-Memory Segment System for Generating High-Quality Long-Term Memory Content in Agents,https://arxiv.org/abs/2508.15294,True,core,update_forgetting,model,retrieval_access;evaluation_diagnosis,,3,agent-memory
2508.16153,2025-08-22,baseline-2025H2-Jan2026,Memento: Fine-tuning LLM Agents without Fine-tuning LLMs,https://arxiv.org/abs/2508.16153,False,core,update_forgetting,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,3,episodic-memory
2508.19005,2025-08-26,baseline-2025H2-Jan2026,Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark,https://arxiv.org/abs/2508.19005,False,supporting,execution_state,model,representation_organization;experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis;experience_skill_policy,2,agent-memory
2509.00997,2025-08-31,baseline-2025H2-Jan2026,Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First,https://arxiv.org/abs/2509.00997,False,supporting,execution_state,model,retrieval_access;systems_efficiency,,0,agent-memory
2509.11914,2025-09-15,baseline-2025H2-Jan2026,EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal Models,https://arxiv.org/abs/2509.11914,True,core,update_forgetting,model,retrieval_access;update_forgetting;multimodal_embodied_gui,,6,agent-memory
2509.21224,2025-09-25,baseline-2025H2-Jan2026,What Do LLM Agents Do When Left Alone? Evidence of Spontaneous Meta-Cognitive Patterns,https://arxiv.org/abs/2509.21224,False,core,execution_state,model,evaluation_diagnosis;multimodal_embodied_gui,,2,long-term-memory
2509.25250,2025-09-27,baseline-2025H2-Jan2026,Memory Management and Contextual Consistency for Long-Running Low-Code Agents,https://arxiv.org/abs/2509.25250,True,core,update_forgetting,model,update_forgetting;multimodal_embodied_gui;systems_efficiency,,5,agent-memory
2509.24704,2025-09-29,baseline-2025H2-Jan2026,MemGen: Weaving Generative Latent Memory for Self-Evolving Agents,https://arxiv.org/abs/2509.24704,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,experience_skill_policy,2,agent-memory
2510.02373,2025-09-29,baseline-2025H2-Jan2026,A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory,https://arxiv.org/abs/2510.02373,True,core,security_privacy,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,6,agent-memory
2510.03612,2025-10-04,baseline-2025H2-Jan2026,Cross-Modal Content Optimization for Steering Web Agent Preferences,https://arxiv.org/abs/2510.03612,False,core,update_forgetting,model,evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,execution_multimodal,7,agent-memory
2510.04618,2025-10-06,baseline-2025H2-Jan2026,Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models,https://arxiv.org/abs/2510.04618,False,core,update_forgetting,model,representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;systems_efficiency,experience_skill_policy,8,agent-memory
2510.04851,2025-10-06,baseline-2025H2-Jan2026,LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation,https://arxiv.org/abs/2510.04851,True,core,execution_state,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared,experience_skill_policy;personal_shared,2,agent-memory
2510.05520,2025-10-07,baseline-2025H2-Jan2026,CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension,https://arxiv.org/abs/2510.05520,True,core,access,model,retrieval_access;representation_organization;systems_efficiency,,2,agent-memory
2510.08081,2025-10-09,baseline-2025H2-Jan2026,AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment,https://arxiv.org/abs/2510.08081,False,core,experience_learning,model,retrieval_access;experience_skill_learning,,3,long-term-memory
2510.09720,2025-10-10,baseline-2025H2-Jan2026,Preference-Aware Memory Update for Long-Term LLM Agents,https://arxiv.org/abs/2510.09720,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;systems_efficiency,update_forgetting,5,long-term-memory
2510.15966,2025-10-12,baseline-2025H2-Jan2026,PISA: A Pragmatic Psych-Inspired Unified Memory System for Enhanced AI Agency,https://arxiv.org/abs/2510.15966,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis,,4,agent-memory
2510.11144,2025-10-13,baseline-2025H2-Jan2026,$How^{2}$: How to learn from procedural How-to questions,https://arxiv.org/abs/2510.11144,False,core,experience_learning,model,execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,experience_skill_policy,2,agent-memory
2510.13896,2025-10-14,baseline-2025H2-Jan2026,"GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents",https://arxiv.org/abs/2510.13896,False,core,shared_memory,model,representation_organization;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui,,5,long-term-memory
2510.15620,2025-10-17,baseline-2025H2-Jan2026,On-device Semantic Selection Made Low Latency and Memory Efficient with Monolithic Forwarding,https://arxiv.org/abs/2510.15620,False,core,execution_state,model,retrieval_access;evaluation_diagnosis;systems_efficiency,systems_efficiency,6,agent-memory
2510.18515,2025-10-21,baseline-2025H2-Jan2026,Socialized Learning and Emergent Behaviors in Multi-Agent Systems based on Multimodal Large Language Models,https://arxiv.org/abs/2510.18515,False,core,shared_memory,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;execution_multimodal;personal_shared,5,episodic-memory
2510.19747,2025-10-22,baseline-2025H2-Jan2026,Review of Tools for Zero-Code LLM Based Application Development,https://arxiv.org/abs/2510.19747,False,core,shared_memory,model,multimodal_embodied_gui,,1,agent-memory
2510.19897,2025-10-22,baseline-2025H2-Jan2026,Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation,https://arxiv.org/abs/2510.19897,True,core,representation,model,update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,4,episodic-memory
2510.23730,2025-10-27,baseline-2025H2-Jan2026,Evaluating Long-Term Memory for Long-Context Question Answering,https://arxiv.org/abs/2510.23730,True,core,representation,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis,2,agent-memory;episodic-memory
2510.25423,2025-10-29,baseline-2025H2-Jan2026,What Challenges Do Developers Face in AI Agent Systems? An Empirical Study on Stack Overflow & GitHub Issues,https://arxiv.org/abs/2510.25423,False,core,representation,model,retrieval_access;execution_state;evaluation_diagnosis,benchmark_diagnosis,2,agent-memory
2510.26536,2025-10-30,baseline-2025H2-Jan2026,"RoboOS-NeXT: A Unified Memory-based Framework for Lifelong, Scalable, and Robust Multi-Robot Collaboration",https://arxiv.org/abs/2510.26536,True,core,representation,model,retrieval_access;representation_organization;execution_state;multi_agent_shared;multimodal_embodied_gui,execution_multimodal;systems_efficiency,4,agent-memory
2510.27418,2025-10-31,baseline-2025H2-Jan2026,Dynamic Affective Memory Management for Personalized LLM Agents,https://arxiv.org/abs/2510.27418,True,core,representation,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis,personal_shared,3,long-term-memory
2511.01448,2025-11-03,baseline-2025H2-Jan2026,LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning,https://arxiv.org/abs/2511.01448,True,core,representation,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,systems_efficiency,6,agent-memory;long-term-memory
2511.02424,2025-11-04,baseline-2025H2-Jan2026,ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning,https://arxiv.org/abs/2511.02424,False,core,representation,model,retrieval_access;representation_organization;execution_state;multimodal_embodied_gui,retrieval_representation;execution_multimodal,9,episodic-memory
2511.03475,2025-11-05,baseline-2025H2-Jan2026,ContextPilot: Fast Long-Context Inference via Context Reuse,https://arxiv.org/abs/2511.03475,False,core,access,model,retrieval_access;representation_organization;evaluation_diagnosis;multi_agent_shared;systems_efficiency,,5,agent-memory
2511.06179,2025-11-09,baseline-2025H2-Jan2026,MemoriesDB: A Temporal-Semantic-Relational Database for Long-Term Agent Memory / Modeling Experience as a Graph of Temporal-Semantic Surfaces,https://arxiv.org/abs/2511.06179,True,core,experience_learning,model,retrieval_access;representation_organization;experience_skill_learning;systems_efficiency,retrieval_representation;experience_skill_policy,0,agent-memory
2511.07587,2025-11-10,baseline-2025H2-Jan2026,Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces,https://arxiv.org/abs/2511.07587,True,core,representation,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,retrieval_representation,6,episodic-memory
2511.08301,2025-11-11,baseline-2025H2-Jan2026,Smarter Together: Creating Agentic Communities of Practice through Shared Experiential Learning,https://arxiv.org/abs/2511.08301,False,core,experience_learning,model,experience_skill_learning;evaluation_diagnosis;multi_agent_shared,experience_skill_policy,5,agent-memory
2511.12027,2025-11-15,baseline-2025H2-Jan2026,GCAgent: Long-Video Understanding via Schematic and Narrative Episodic Memory,https://arxiv.org/abs/2511.12027,True,core,execution_state,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,6,episodic-memory
2511.12997,2025-11-17,baseline-2025H2-Jan2026,WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance,https://arxiv.org/abs/2511.12997,True,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy;execution_multimodal,4,episodic-memory
2511.16108,2025-11-20,baseline-2025H2-Jan2026,SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent,https://arxiv.org/abs/2511.16108,False,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;systems_efficiency,6,agent-memory
2511.17775,2025-11-21,baseline-2025H2-Jan2026,Episodic Memory in Agentic Frameworks: Suggesting Next Tasks,https://arxiv.org/abs/2511.17775,True,core,update_forgetting,model,retrieval_access;multimodal_embodied_gui,,0,episodic-memory
2511.21730,2025-11-21,baseline-2025H2-Jan2026,A Benchmark for Procedural Memory Retrieval in Language Agents,https://arxiv.org/abs/2511.21730,True,core,access,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis;retrieval_representation;experience_skill_policy,5,procedural-memory
2511.18112,2025-11-22,baseline-2025H2-Jan2026,EchoVLA: Synergistic Declarative Memory for VLA-Driven Mobile Manipulation,https://arxiv.org/abs/2511.18112,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,,4,episodic-memory
2511.18423,2025-11-23,baseline-2025H2-Jan2026,General Agentic Memory Via Deep Research,https://arxiv.org/abs/2511.18423,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;multimodal_embodied_gui,retrieval_representation,3,agent-memory
2511.19192,2025-11-24,baseline-2025H2-Jan2026,AME: An Efficient Heterogeneous Agentic Memory Engine for Smartphones,https://arxiv.org/abs/2511.19192,True,core,update_forgetting,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,systems_efficiency,4,agent-memory
2511.20297,2025-11-25,baseline-2025H2-Jan2026,Improving Language Agents through BREW,https://arxiv.org/abs/2511.20297,False,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;systems_efficiency,,2,agent-memory
2511.20857,2025-11-25,baseline-2025H2-Jan2026,Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory,https://arxiv.org/abs/2511.20857,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;experience_skill_policy,5,memory-evaluation
2512.00742,2025-11-30,baseline-2025H2-Jan2026,On the Regulatory Potential of User Interfaces for AI Agent Governance,https://arxiv.org/abs/2512.00742,False,core,access,model,representation_organization;security_privacy_trust,security_governance,0,agent-memory
2512.02227,2025-12-01,baseline-2025H2-Jan2026,Orchestration Framework for Financial Agents: From Algorithmic Trading to Agentic Trading,https://arxiv.org/abs/2512.02227,False,core,access,model,representation_organization,,1,agent-memory
2512.02228,2025-12-01,baseline-2025H2-Jan2026,"STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls",https://arxiv.org/abs/2512.02228,False,core,access,model,representation_organization;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,4,long-term-memory
2512.02425,2025-12-02,baseline-2025H2-Jan2026,WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning,https://arxiv.org/abs/2512.02425,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,8,agent-memory;episodic-memory
2512.02458,2025-12-02,baseline-2025H2-Jan2026,Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Exploration,https://arxiv.org/abs/2512.02458,True,core,update_forgetting,model,retrieval_access;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,3,agent-memory
2512.03627,2025-12-03,baseline-2025H2-Jan2026,MemVerse: Multimodal Memory for Lifelong Learning Agents,https://arxiv.org/abs/2512.03627,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;execution_multimodal,4,agent-memory
2512.04668,2025-12-04,baseline-2025H2-Jan2026,Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs,https://arxiv.org/abs/2512.04668,True,core,execution_state,model,representation_organization;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui,security_governance;personal_shared,4,agent-memory
2512.06688,2025-12-07,baseline-2025H2-Jan2026,PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory,https://arxiv.org/abs/2512.06688,True,core,application,model,experience_skill_learning;systems_efficiency,experience_skill_policy;personal_shared,6,agent-memory
2512.09458,2025-12-10,baseline-2025H2-Jan2026,Architectures for Building Agentic AI,https://arxiv.org/abs/2512.09458,False,core,execution_state,model,execution_state;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,,1,agent-memory
2512.10166,2025-12-10,baseline-2025H2-Jan2026,Emergent Collective Memory in Decentralized Multi-Agent AI Systems,https://arxiv.org/abs/2512.10166,True,core,update_forgetting,model,representation_organization;evaluation_diagnosis;multi_agent_shared,personal_shared,7,agent-memory
2512.10696,2025-12-11,baseline-2025H2-Jan2026,"Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution",https://arxiv.org/abs/2512.10696,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;systems_efficiency,experience_skill_policy,7,agent-memory;procedural-memory
2512.11303,2025-12-12,baseline-2025H2-Jan2026,Unifying Dynamic Tool Creation and Cross-Task Experience Sharing through Cognitive Memory Architecture,https://arxiv.org/abs/2512.11303,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;systems_efficiency,experience_skill_policy,8,agent-memory;episodic-memory
2512.12686,2025-12-14,baseline-2025H2-Jan2026,Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI,https://arxiv.org/abs/2512.12686,True,core,access,model,representation_organization;experience_skill_learning;systems_efficiency,systems_efficiency;personal_shared,0,agent-memory
2512.12818,2025-12-14,baseline-2025H2-Jan2026,"Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects",https://arxiv.org/abs/2512.12818,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,retrieval_representation,7,agent-memory;memory-evaluation
2512.12856,2025-12-14,baseline-2025H2-Jan2026,Forgetful but Faithful: A Cognitive Memory Architecture and Benchmark for Privacy-Aware Generative Agents,https://arxiv.org/abs/2512.12856,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;update_forgetting;security_governance,2,agent-memory
2512.12967,2025-12-15,baseline-2025H2-Jan2026,QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management,https://arxiv.org/abs/2512.12967,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;systems_efficiency,,7,agent-memory
2512.13564,2025-12-15,baseline-2025H2-Jan2026,Memory in the Age of AI Agents,https://arxiv.org/abs/2512.13564,True,core,access,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,,3,agent-memory;memory-evaluation
2512.16301,2025-12-18,baseline-2025H2-Jan2026,"Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills",https://arxiv.org/abs/2512.16301,True,core,experience_learning,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis;experience_skill_policy,4,long-term-memory
2512.16962,2025-12-18,baseline-2025H2-Jan2026,MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval,https://arxiv.org/abs/2512.16962,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;security_privacy_trust,retrieval_representation;experience_skill_policy;security_governance,3,agent-memory;long-term-memory
2512.18337,2025-12-20,baseline-2025H2-Jan2026,Towards Efficient Agents: A Co-Design of Inference Architecture and System,https://arxiv.org/abs/2512.18337,False,core,execution_state,model,representation_organization;execution_state;evaluation_diagnosis;systems_efficiency,systems_efficiency,4,agent-memory
2512.18571,2025-12-21,baseline-2025H2-Jan2026,ESearch-R1: Learning Cost-Aware MLLM Agents for Interactive Embodied Search via Reinforcement Learning,https://arxiv.org/abs/2512.18571,False,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,retrieval_representation;experience_skill_policy;execution_multimodal;systems_efficiency,6,episodic-memory
2512.18746,2025-12-21,baseline-2025H2-Jan2026,MemEvolve: Meta-Evolution of Agent Memory Systems,https://arxiv.org/abs/2512.18746,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis,experience_skill_policy,2,agent-memory
2512.18950,2025-12-22,baseline-2025H2-Jan2026,Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement,https://arxiv.org/abs/2512.18950,True,core,update_forgetting,model,representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;systems_efficiency,retrieval_representation;experience_skill_policy,5,procedural-memory
2512.19537,2025-12-22,baseline-2025H2-Jan2026,Event Extraction in Large Language Model,https://arxiv.org/abs/2512.19537,False,core,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;multimodal_embodied_gui,,3,agent-memory
2512.20111,2025-12-23,baseline-2025H2-Jan2026,ABBEL: Learning Natural-Language Belief States for Memory-Efficient Interaction,https://arxiv.org/abs/2512.20111,False,core,update_forgetting,model,update_forgetting;execution_state;experience_skill_learning;systems_efficiency,experience_skill_policy;systems_efficiency,7,agent-memory
2512.21567,2025-12-25,baseline-2025H2-Jan2026,Beyond Heuristics: A Decision-Theoretic Framework for Agent Memory Management,https://arxiv.org/abs/2512.21567,True,core,update_forgetting,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,,3,agent-memory
2512.22716,2025-12-27,baseline-2025H2-Jan2026,Memento 2: Learning by Stateful Reflective Memory,https://arxiv.org/abs/2512.22716,True,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,2,episodic-memory
2512.23343,2025-12-29,baseline-2025H2-Jan2026,AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents,https://arxiv.org/abs/2512.23343,True,core,representation,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,,2,agent-memory
2601.01885,2026-01-05,baseline-2025H2-Jan2026,Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents,https://arxiv.org/abs/2601.01885,True,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,experience_skill_policy,5,agent-memory;long-term-memory
2601.02577,2026-01-05,baseline-2025H2-Jan2026,Orchestral AI: A Framework for Agent Orchestration,https://arxiv.org/abs/2601.02577,False,core,representation,model,representation_organization;systems_efficiency,,0,agent-memory
2601.02732,2026-01-06,baseline-2025H2-Jan2026,Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices,https://arxiv.org/abs/2601.02732,True,core,update_forgetting,model,multi_agent_shared;systems_efficiency,,5,agent-memory
2601.02744,2026-01-06,baseline-2025H2-Jan2026,SYNAPSE: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation,https://arxiv.org/abs/2601.02744,True,core,update_forgetting,model,retrieval_access;evaluation_diagnosis,,6,agent-memory
2601.03236,2026-01-06,baseline-2025H2-Jan2026,MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents,https://arxiv.org/abs/2601.03236,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;multimodal_embodied_gui,retrieval_representation,4,agent-memory
2601.03543,2026-01-07,baseline-2025H2-Jan2026,EvolMem: A Cognitive-Driven Benchmark for Multi-Session Dialogue Memory,https://arxiv.org/abs/2601.03543,True,core,representation,model,evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis,6,agent-memory
2601.03785,2026-01-07,baseline-2025H2-Jan2026,Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents,https://arxiv.org/abs/2601.03785,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting,,4,agent-memory
2601.04170,2026-01-07,baseline-2025H2-Jan2026,Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions,https://arxiv.org/abs/2601.04170,False,supporting,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multi_agent_shared;systems_efficiency,personal_shared,1,episodic-memory
2601.05504,2026-01-09,baseline-2025H2-Jan2026,Memory Poisoning Attack and Defense on Memory Based LLM-Agents,https://arxiv.org/abs/2601.05504,True,supporting,security_privacy,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,security_governance,6,long-term-memory
2601.06282,2026-01-09,baseline-2025H2-Jan2026,Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning,https://arxiv.org/abs/2601.06282,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,,8,agent-memory
2601.06377,2026-01-10,baseline-2025H2-Jan2026,HiMem: Hierarchical Long-Term Memory for LLM Long-Horizon Agents,https://arxiv.org/abs/2601.06377,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,retrieval_representation;execution_multimodal,6,episodic-memory
2601.06411,2026-01-10,baseline-2025H2-Jan2026,Structured Episodic Event Memory,https://arxiv.org/abs/2601.06411,True,core,experience_learning,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust,retrieval_representation,6,episodic-memory
2601.10744,2026-01-11,baseline-2025H2-Jan2026,Explore with Long-term Memory: A Benchmark and Multimodal LLM-based Reinforcement Learning Framework for Embodied Exploration,https://arxiv.org/abs/2601.10744,True,supporting,execution_state,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;experience_skill_policy;execution_multimodal,4,agent-memory;episodic-memory
2601.07470,2026-01-12,baseline-2025H2-Jan2026,Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory,https://arxiv.org/abs/2601.07470,True,core,experience_learning,model,representation_organization;execution_state;experience_skill_learning,retrieval_representation;experience_skill_policy,4,agent-memory
2601.07779,2026-01-12,baseline-2025H2-Jan2026,OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agent,https://arxiv.org/abs/2601.07779,False,supporting,execution_state,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,,6,agent-memory
2601.08160,2026-01-13,baseline-2025H2-Jan2026,SwiftMem: Fast Agentic Memory via Query-aware Indexing,https://arxiv.org/abs/2601.08160,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,retrieval_representation,5,agent-memory
2601.08323,2026-01-13,baseline-2025H2-Jan2026,AtomMem : Learnable Dynamic Agentic Memory with Atomic Memory Operation,https://arxiv.org/abs/2601.08323,True,core,experience_learning,model,representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis,experience_skill_policy,4,agent-memory
2601.09113,2026-01-14,baseline-2025H2-Jan2026,The AI Hippocampus: How Far are We From Human Memory?,https://arxiv.org/abs/2601.09113,True,supporting,experience_learning,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis,2,agent-memory
2601.09636,2026-01-14,baseline-2025H2-Jan2026,PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records,https://arxiv.org/abs/2601.09636,False,core,execution_state,model,representation_organization;evaluation_diagnosis;multimodal_embodied_gui,retrieval_representation;execution_multimodal;personal_shared,5,agent-memory
2602.06051,2026-01-14,baseline-2025H2-Jan2026,CAST: Character-and-Scene Episodic Memory for Agents,https://arxiv.org/abs/2602.06051,True,core,representation,model,retrieval_access;representation_organization;experience_skill_learning,,6,agent-memory;episodic-memory
2602.06052,2026-01-14,baseline-2025H2-Jan2026,Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey,https://arxiv.org/abs/2602.06052,True,core,access,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis,2,agent-memory
2601.10702,2026-01-15,baseline-2025H2-Jan2026,Grounding Agent Memory in Contextual Intent,https://arxiv.org/abs/2601.10702,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis,,6,agent-memory
2601.11854,2026-01-17,baseline-2025H2-Jan2026,ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems,https://arxiv.org/abs/2601.11854,False,core,representation,model,execution_state;evaluation_diagnosis,benchmark_diagnosis,4,agent-memory
2601.12771,2026-01-19,baseline-2025H2-Jan2026,Who Does This Name Remind You of ? Nationality Prediction via Large Language Model Associative Memory,https://arxiv.org/abs/2601.12771,True,core,update_forgetting,model,retrieval_access;multi_agent_shared;multimodal_embodied_gui,,5,agent-memory
2601.14192,2026-01-20,baseline-2025H2-Jan2026,"Toward Efficient Agents: Memory, Tool learning, and Planning",https://arxiv.org/abs/2601.14192,True,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,experience_skill_policy;systems_efficiency,3,agent-memory
2601.14735,2026-01-21,baseline-2025H2-Jan2026,Optimizing FaaS Platforms for MCP-enabled Agentic Workflows,https://arxiv.org/abs/2601.14735,False,core,execution_state,model,retrieval_access;evaluation_diagnosis;multi_agent_shared;systems_efficiency,,4,agent-memory
2601.16690,2026-01-23,baseline-2025H2-Jan2026,EMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents,https://arxiv.org/abs/2601.16690,True,core,experience_learning,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,benchmark_diagnosis,6,agent-memory
2601.16872,2026-01-23,baseline-2025H2-Jan2026,From Atom to Community: Structured and Evolving Agent Memory for User Behavior Modeling,https://arxiv.org/abs/2601.16872,True,core,update_forgetting,model,representation_organization;update_forgetting,retrieval_representation;experience_skill_policy,4,agent-memory
2601.17887,2026-01-25,baseline-2025H2-Jan2026,When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents,https://arxiv.org/abs/2601.17887,False,core,execution_state,model,representation_organization;experience_skill_learning;evaluation_diagnosis;security_privacy_trust,security_governance;personal_shared,6,long-term-memory
2601.18642,2026-01-26,baseline-2025H2-Jan2026,FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory,https://arxiv.org/abs/2601.18642,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,update_forgetting;systems_efficiency,3,agent-memory
2601.20352,2026-01-28,baseline-2025H2-Jan2026,AMA: Adaptive Memory via Multi-Agent Collaboration,https://arxiv.org/abs/2601.20352,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multi_agent_shared;systems_efficiency,experience_skill_policy;personal_shared,7,agent-memory;long-term-memory
2601.20465,2026-01-28,baseline-2025H2-Jan2026,BMAM: Brain-inspired Multi-Agent Memory Framework,https://arxiv.org/abs/2601.20465,True,core,execution_state,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;multi_agent_shared;systems_efficiency,personal_shared,4,agent-memory
2601.21468,2026-01-29,baseline-2025H2-Jan2026,MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning,https://arxiv.org/abs/2601.21468,True,core,update_forgetting,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal;systems_efficiency,4,agent-memory
2601.21714,2026-01-29,baseline-2025H2-Jan2026,E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory,https://arxiv.org/abs/2601.21714,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;systems_efficiency,personal_shared,2,agent-memory
2601.21841,2026-01-29,baseline-2025H2-Jan2026,Embodied Task Planning via Graph-Informed Action Generation with Large Language Models,https://arxiv.org/abs/2601.21841,False,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,retrieval_representation;execution_multimodal,7,agent-memory
2601.22964,2026-01-30,baseline-2025H2-Jan2026,EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning,https://arxiv.org/abs/2601.22964,False,core,update_forgetting,model,update_forgetting;experience_skill_learning;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis;experience_skill_policy,5,agent-memory
2601.22974,2026-01-30,baseline-2025H2-Jan2026,MiTa: A Hierarchical Multi-Agent Collaboration Framework with Memory-integrated and Task Allocation,https://arxiv.org/abs/2601.22974,True,core,update_forgetting,model,representation_organization;update_forgetting;execution_state;multi_agent_shared;multimodal_embodied_gui,retrieval_representation;personal_shared,4,episodic-memory
2601.23014,2026-01-30,baseline-2025H2-Jan2026,Mem-T: Densifying Rewards for Long-Horizon Memory Agents,https://arxiv.org/abs/2601.23014,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,execution_multimodal,3,agent-memory
2602.00352,2026-01-30,baseline-2025H2-Jan2026,DETOUR: An Interactive Benchmark for Dual-Agent Search and Reasoning,https://arxiv.org/abs/2602.00352,False,core,access,model,retrieval_access;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;retrieval_representation,4,agent-memory
2602.00364,2026-01-30,baseline-2025H2-Jan2026,"""Someone Hid It"": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval",https://arxiv.org/abs/2602.00364,False,core,access,model,retrieval_access;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation;security_governance,2,agent-memory
2602.00675,2026-01-31,baseline-2025H2-Jan2026,Factored Reasoning with Inner Speech and Persistent Memory for Evidence-Grounded Human-Robot Interaction,https://arxiv.org/abs/2602.00675,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,3,agent-memory
2602.01869,2026-02-02,transition-2026-Feb-Mar,Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents,https://arxiv.org/abs/2602.01869,False,core,update_forgetting,model,update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,3,procedural-memory
2602.02007,2026-02-02,transition-2026-Feb-Mar,Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation,https://arxiv.org/abs/2602.02007,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;multimodal_embodied_gui;systems_efficiency,retrieval_representation,2,agent-memory
2602.02164,2026-02-02,transition-2026-Feb-Mar,Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents,https://arxiv.org/abs/2602.02164,False,supporting,security_privacy,model,representation_organization;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared,security_governance,7,long-term-memory
2602.02369,2026-02-02,transition-2026-Feb-Mar,Live-Evo: Online Evolution of Agentic Memory from Continuous Feedback,https://arxiv.org/abs/2602.02369,True,core,update_forgetting,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,,5,agent-memory
2602.02474,2026-02-02,transition-2026-Feb-Mar,MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents,https://arxiv.org/abs/2602.02474,True,core,update_forgetting,model,representation_organization;update_forgetting;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,5,agent-memory
2602.03036,2026-02-03,transition-2026-Feb-Mar,LatentMem: Customizing Latent Memory for Multi-Agent Systems,https://arxiv.org/abs/2602.03036,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;systems_efficiency,personal_shared,5,agent-memory
2602.03224,2026-02-03,transition-2026-Feb-Mar,TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking,https://arxiv.org/abs/2602.03224,True,core,security_privacy,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui,benchmark_diagnosis;security_governance,2,agent-memory
2602.03315,2026-02-03,transition-2026-Feb-Mar,Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity,https://arxiv.org/abs/2602.03315,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,retrieval_representation,2,agent-memory
2602.04482,2026-02-04,transition-2026-Feb-Mar,ProAgentBench: Evaluating LLM Agents for Proactive Assistance with Real-World Data,https://arxiv.org/abs/2602.04482,False,supporting,application,model,representation_organization;evaluation_diagnosis;security_privacy_trust;systems_efficiency,benchmark_diagnosis,7,long-term-memory
2602.04640,2026-02-04,transition-2026-Feb-Mar,"Towards Structured, State-Aware, and Execution-Grounded Reasoning for Software Engineering Agents",https://arxiv.org/abs/2602.04640,False,core,update_forgetting,model,representation_organization;execution_state,retrieval_representation,0,agent-memory
2603.00026,2026-02-04,transition-2026-Feb-Mar,ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents,https://arxiv.org/abs/2603.00026,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis,retrieval_representation,6,memory-evaluation
2602.05665,2026-02-05,transition-2026-Feb-Mar,"Graph-based Agent Memory: Taxonomy, Techniques, and Applications",https://arxiv.org/abs/2602.05665,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis;retrieval_representation,5,agent-memory
2602.06025,2026-02-05,transition-2026-Feb-Mar,Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory,https://arxiv.org/abs/2602.06025,True,supporting,application,model,retrieval_access;representation_organization;experience_skill_learning;systems_efficiency,experience_skill_policy;systems_efficiency,2,agent-memory
2602.17692,2026-02-06,transition-2026-Feb-Mar,Agentic Unlearning: When LLM Agent Meets Machine Unlearning,https://arxiv.org/abs/2602.17692,False,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy;security_governance,2,long-term-memory
2603.03296,2026-02-06,transition-2026-Feb-Mar,PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents,https://arxiv.org/abs/2603.03296,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,5,episodic-memory;long-term-memory
2602.07398,2026-02-07,transition-2026-Feb-Mar,AgentSys: Secure and Dynamic LLM Agents Through Explicit Hierarchical Memory Management,https://arxiv.org/abs/2602.07398,True,core,update_forgetting,model,representation_organization;evaluation_diagnosis;security_privacy_trust,retrieval_representation,6,agent-memory
2602.07624,2026-02-07,transition-2026-Feb-Mar,M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions,https://arxiv.org/abs/2602.07624,True,core,update_forgetting,model,retrieval_access;update_forgetting;multimodal_embodied_gui;systems_efficiency,execution_multimodal;personal_shared,6,agent-memory
2602.07755,2026-02-08,transition-2026-Feb-Mar,Learning to Continually Learn via Meta-learning Agentic Memory Designs,https://arxiv.org/abs/2602.07755,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,experience_skill_policy,3,agent-memory
2602.07885,2026-02-08,transition-2026-Feb-Mar,MemFly: On-the-Fly Memory Optimization via Information Bottleneck,https://arxiv.org/abs/2602.07885,True,core,update_forgetting,model,retrieval_access;representation_organization;systems_efficiency,,4,long-term-memory
2602.08369,2026-02-09,transition-2026-Feb-Mar,MemAdapter: Fast Alignment across Agent Memory Paradigms via Generative Subgraph Retrieval,https://arxiv.org/abs/2602.08369,True,core,update_forgetting,model,retrieval_access;execution_state;evaluation_diagnosis;systems_efficiency,retrieval_representation;experience_skill_policy,6,agent-memory
2602.09319,2026-02-10,transition-2026-Feb-Mar,Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation,https://arxiv.org/abs/2602.09319,False,core,access,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,benchmark_diagnosis;retrieval_representation;security_governance;systems_efficiency,2,agent-memory
2602.09712,2026-02-10,transition-2026-Feb-Mar,TraceMem: Weaving Narrative Memory Schemata from User Conversational Traces,https://arxiv.org/abs/2602.09712,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis,,6,episodic-memory
2602.10715,2026-02-11,transition-2026-Feb-Mar,Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents,https://arxiv.org/abs/2602.10715,True,core,execution_state,model,retrieval_access;evaluation_diagnosis,benchmark_diagnosis,4,memory-evaluation
2602.11243,2026-02-11,transition-2026-Feb-Mar,Evaluating Memory Structure in LLM Agents,https://arxiv.org/abs/2602.11243,True,core,representation,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;retrieval_representation,3,agent-memory;long-term-memory;memory-evaluation
2602.13530,2026-02-13,transition-2026-Feb-Mar,REMem: Reasoning with Episodic Memory in Language Agent,https://arxiv.org/abs/2602.13530,True,core,representation,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis,,6,memory-evaluation
2602.18493,2026-02-13,transition-2026-Feb-Mar,Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning,https://arxiv.org/abs/2602.18493,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis,experience_skill_policy,4,agent-memory
2602.13594,2026-02-14,transition-2026-Feb-Mar,Hippocampus: An Efficient and Scalable Memory Module for Agentic AI,https://arxiv.org/abs/2602.13594,True,core,execution_state,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;systems_efficiency,systems_efficiency,2,agent-memory
2602.13933,2026-02-15,transition-2026-Feb-Mar,HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling,https://arxiv.org/abs/2602.13933,True,core,execution_state,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;systems_efficiency,retrieval_representation,6,long-term-memory
2602.14038,2026-02-15,transition-2026-Feb-Mar,Choosing How to Remember: Adaptive Memory Structures for LLM Agents,https://arxiv.org/abs/2602.14038,True,core,execution_state,model,representation_organization;execution_state;evaluation_diagnosis,retrieval_representation;experience_skill_policy,4,agent-memory
2602.15274,2026-02-17,transition-2026-Feb-Mar,When Remembering and Planning are Worth it: Navigating under Change,https://arxiv.org/abs/2602.15274,True,core,execution_state,model,retrieval_access;execution_state;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,,0,agent-memory
2602.15513,2026-02-17,transition-2026-Feb-Mar,HIMM: Human-Inspired Long-Term Memory Modeling for Embodied Exploration and Question Answering,https://arxiv.org/abs/2602.15513,True,core,execution_state,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,4,episodic-memory
2602.15654,2026-02-17,transition-2026-Feb-Mar,Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections,https://arxiv.org/abs/2602.15654,False,core,execution_state,model,retrieval_access;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;systems_efficiency,experience_skill_policy,3,long-term-memory
2603.02240,2026-02-17,transition-2026-Feb-Mar,SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Memory Poisoning,https://arxiv.org/abs/2603.02240,True,core,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;systems_efficiency,security_governance;systems_efficiency;personal_shared,5,agent-memory
2603.04428,2026-02-17,transition-2026-Feb-Mar,Agent Memory Below the Prompt: Persistent Q4 KV Cache for Multi-Agent LLM Inference on Edge Devices,https://arxiv.org/abs/2603.04428,True,core,execution_state,model,evaluation_diagnosis;multi_agent_shared;systems_efficiency,systems_efficiency;personal_shared,5,agent-memory
2602.16313,2026-02-18,transition-2026-Feb-Mar,MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks,https://arxiv.org/abs/2602.16313,True,core,execution_state,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis,3,agent-memory;memory-evaluation
2602.16493,2026-02-18,transition-2026-Feb-Mar,MMA: Multimodal Memory Agent,https://arxiv.org/abs/2602.16493,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;execution_state;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,8,agent-memory
2602.19320,2026-02-22,transition-2026-Feb-Mar,Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations,https://arxiv.org/abs/2602.19320,True,core,execution_state,model,representation_organization;execution_state;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis,4,agent-memory
2603.04443,2026-02-22,transition-2026-Feb-Mar,AMV-L: Lifecycle-Managed Agent Memory for Tail-Latency Control in Long-Running LLM Systems,https://arxiv.org/abs/2603.04443,True,core,execution_state,model,retrieval_access;update_forgetting;evaluation_diagnosis;systems_efficiency,update_forgetting;systems_efficiency,7,agent-memory;long-term-memory
2602.21394,2026-02-24,transition-2026-Feb-Mar,MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection,https://arxiv.org/abs/2602.21394,True,core,execution_state,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,,8,episodic-memory
2602.21477,2026-02-25,transition-2026-Feb-Mar,Pancake: Hierarchical Memory System for Multi-Agent LLM Serving,https://arxiv.org/abs/2602.21477,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;multi_agent_shared;systems_efficiency,retrieval_representation;systems_efficiency;personal_shared,6,agent-memory
2602.22406,2026-02-25,transition-2026-Feb-Mar,Towards Autonomous Memory Agents,https://arxiv.org/abs/2602.22406,True,core,update_forgetting,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;systems_efficiency,,6,agent-memory
2602.22769,2026-02-26,transition-2026-Feb-Mar,AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications,https://arxiv.org/abs/2602.22769,True,core,update_forgetting,model,retrieval_access;execution_state;evaluation_diagnosis,benchmark_diagnosis;execution_multimodal,8,agent-memory;memory-evaluation
2602.23720,2026-02-27,transition-2026-Feb-Mar,The Auton Agentic AI Framework,https://arxiv.org/abs/2602.23720,False,core,execution_state,model,representation_organization;update_forgetting;experience_skill_learning;security_privacy_trust;systems_efficiency,,0,episodic-memory
2602.23937,2026-02-27,transition-2026-Feb-Mar,Enhancing Vision-Language Navigation with Multimodal Event Knowledge from Real-World Indoor Tour Videos,https://arxiv.org/abs/2602.23937,False,core,execution_state,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal;systems_efficiency,4,episodic-memory
2603.01160,2026-03-01,transition-2026-Feb-Mar,Semantic XPath: Structured Agentic Memory Access for Conversational AI,https://arxiv.org/abs/2603.01160,True,core,access,model,retrieval_access;representation_organization;update_forgetting;multimodal_embodied_gui;systems_efficiency,retrieval_representation,4,agent-memory
2603.01966,2026-03-02,transition-2026-Feb-Mar,AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations,https://arxiv.org/abs/2603.01966,True,core,update_forgetting,model,representation_organization;execution_state;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;execution_multimodal,2,agent-memory;memory-evaluation
2603.02206,2026-03-02,transition-2026-Feb-Mar,VoiceAgentRAG: Solving the RAG Latency Bottleneck in Real-Time Voice Agents Using Dual-Agent Architectures,https://arxiv.org/abs/2603.02206,False,core,access,model,retrieval_access;representation_organization;systems_efficiency,retrieval_representation;systems_efficiency,1,agent-memory
2603.02473,2026-03-02,transition-2026-Feb-Mar,Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory,https://arxiv.org/abs/2603.02473,True,core,access,model,retrieval_access;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis;retrieval_representation,6,agent-memory
2603.03024,2026-03-03,transition-2026-Feb-Mar,MA-CoNav: A Master-Slave Multi-Agent Framework with Hierarchical Collaboration and Dual-Level Reflection for Long-Horizon Embodied VLN,https://arxiv.org/abs/2603.03024,False,core,update_forgetting,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,retrieval_representation;execution_multimodal;personal_shared,4,agent-memory
2603.03148,2026-03-03,transition-2026-Feb-Mar,From Language to Action: Can LLM-Based Agents Be Used for Embodied Robot Cognition?,https://arxiv.org/abs/2603.03148,False,core,execution_state,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,4,episodic-memory
2603.15642,2026-03-03,transition-2026-Feb-Mar,CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic Systems,https://arxiv.org/abs/2603.15642,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;evaluation_diagnosis,,5,agent-memory
2603.04549,2026-03-04,transition-2026-Feb-Mar,Adaptive Memory Admission Control for LLM Agents,https://arxiv.org/abs/2603.04549,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,experience_skill_policy,7,long-term-memory
2603.04740,2026-03-05,transition-2026-Feb-Mar,Memory as Ontology: A Constitutional Memory Architecture for Persistent Digital Citizens,https://arxiv.org/abs/2603.04740,True,core,execution_state,model,retrieval_access;representation_organization;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,retrieval_representation,0,agent-memory
2603.23516,2026-03-06,transition-2026-Feb-Mar,MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens,https://arxiv.org/abs/2603.23516,True,core,update_forgetting,model,evaluation_diagnosis;systems_efficiency,systems_efficiency,5,agent-memory
2603.08755,2026-03-07,transition-2026-Feb-Mar,Turn: A Language for Agentic Computation,https://arxiv.org/abs/2603.08755,False,core,update_forgetting,model,evaluation_diagnosis,,3,agent-memory
2603.07392,2026-03-08,transition-2026-Feb-Mar,Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams,https://arxiv.org/abs/2603.07392,False,core,update_forgetting,model,representation_organization;evaluation_diagnosis,benchmark_diagnosis;experience_skill_policy;systems_efficiency,4,agent-memory
2603.07670,2026-03-08,transition-2026-Feb-Mar,"Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers",https://arxiv.org/abs/2603.07670,True,core,representation,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis,2,agent-memory
2603.07784,2026-03-08,transition-2026-Feb-Mar,ProgAgent:A Continual RL Agent with Progress-Aware Rewards,https://arxiv.org/abs/2603.07784,False,core,update_forgetting,model,update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,4,agent-memory
2603.10062,2026-03-09,transition-2026-Feb-Mar,Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead,https://arxiv.org/abs/2603.10062,True,core,execution_state,model,representation_organization;multi_agent_shared;multimodal_embodied_gui,personal_shared,0,agent-memory
2604.00009,2026-03-09,transition-2026-Feb-Mar,"Eyla: Toward an Identity-Anchored LLM Architecture with Integrated Biological Priors -- Vision, Implementation Attempt, and Lessons from AI-Assisted Development",https://arxiv.org/abs/2604.00009,False,core,representation,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,,5,episodic-memory
2603.11721,2026-03-12,transition-2026-Feb-Mar,When OpenClaw Meets Hospital: Toward an Agentic Operating System for Dynamic Clinical Workflows,https://arxiv.org/abs/2603.11721,False,core,execution_state,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,7,long-term-memory
2603.11768,2026-03-12,transition-2026-Feb-Mar,"Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework",https://arxiv.org/abs/2603.11768,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;security_governance,0,agent-memory;long-term-memory
2603.12631,2026-03-13,transition-2026-Feb-Mar,Joint Optimization of Multi-agent Memory System,https://arxiv.org/abs/2603.12631,True,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;multi_agent_shared;multimodal_embodied_gui,personal_shared,5,agent-memory
2603.13017,2026-03-13,transition-2026-Feb-Mar,Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation,https://arxiv.org/abs/2603.13017,True,core,access,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,retrieval_representation;experience_skill_policy;systems_efficiency;personal_shared,8,agent-memory
2603.13676,2026-03-14,transition-2026-Feb-Mar,TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics,https://arxiv.org/abs/2603.13676,True,core,execution_state,model,representation_organization;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared,experience_skill_policy;personal_shared,7,agent-memory
2603.14588,2026-03-15,transition-2026-Feb-Mar,SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory,https://arxiv.org/abs/2603.14588,True,core,access,model,retrieval_access;representation_organization;evaluation_diagnosis,,6,agent-memory
2603.14597,2026-03-15,transition-2026-Feb-Mar,D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error Routing,https://arxiv.org/abs/2603.14597,True,core,update_forgetting,model,representation_organization;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,7,agent-memory;long-term-memory
2603.15280,2026-03-16,transition-2026-Feb-Mar,Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory,https://arxiv.org/abs/2603.15280,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,5,agent-memory
2603.15421,2026-03-16,transition-2026-Feb-Mar,CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents,https://arxiv.org/abs/2603.15421,True,core,access,model,retrieval_access;representation_organization;experience_skill_learning;systems_efficiency,retrieval_representation;experience_skill_policy,2,agent-memory
2603.16734,2026-03-17,transition-2026-Feb-Mar,Differential Harm Propensity in Personalized LLM Agents: The Curious Case of Mental Health Disclosure,https://arxiv.org/abs/2603.16734,False,core,execution_state,model,evaluation_diagnosis;security_privacy_trust,personal_shared,4,long-term-memory
2603.17043,2026-03-17,transition-2026-Feb-Mar,OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials,https://arxiv.org/abs/2603.17043,False,core,execution_state,model,retrieval_access;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis,0,long-term-memory
2603.17244,2026-03-18,transition-2026-Feb-Mar,Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures,https://arxiv.org/abs/2603.17244,True,core,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation;update_forgetting,6,agent-memory;memory-evaluation
2603.17831,2026-03-18,transition-2026-Feb-Mar,RPMS: Enhancing LLM-Based Embodied Planning through Rule-Augmented Memory Synergy,https://arxiv.org/abs/2603.17831,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,6,episodic-memory
2603.17948,2026-03-18,transition-2026-Feb-Mar,VideoAtlas: Navigating Long-Form Video in Logarithmic Compute,https://arxiv.org/abs/2603.17948,False,core,experience_learning,model,representation_organization;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,2,agent-memory
2603.19935,2026-03-20,transition-2026-Feb-Mar,"Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents",https://arxiv.org/abs/2603.19935,True,core,experience_learning,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,systems_efficiency,6,long-term-memory
2604.14158,2026-03-23,transition-2026-Feb-Mar,MemGround: Long-Term Memory Evaluation Kit for Large Language Models in Gamified Scenarios,https://arxiv.org/abs/2604.14158,True,supporting,evaluation,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis,benchmark_diagnosis,3,agent-memory
2605.20189,2026-03-23,transition-2026-Feb-Mar,SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation,https://arxiv.org/abs/2605.20189,False,supporting,evaluation,model,update_forgetting;experience_skill_learning;systems_efficiency,experience_skill_policy,6,episodic-memory
2603.23064,2026-03-24,transition-2026-Feb-Mar,Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution,https://arxiv.org/abs/2603.23064,True,peripheral,security_privacy,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,,3,agent-memory
2603.23160,2026-03-24,transition-2026-Feb-Mar,UniDial-EvalKit: A Unified Toolkit for Evaluating Multi-Faceted Conversational Abilities,https://arxiv.org/abs/2603.23160,False,supporting,evaluation,model,representation_organization;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis,6,agent-memory
2603.23231,2026-03-24,transition-2026-Feb-Mar,PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments,https://arxiv.org/abs/2603.23231,True,core,experience_learning,model,retrieval_access;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;personal_shared,5,agent-memory
2603.24564,2026-03-25,transition-2026-Feb-Mar,"Infrastructure for Valuable, Tradable, and Verifiable Agent Memory",https://arxiv.org/abs/2603.24564,True,supporting,evaluation,model,representation_organization;security_privacy_trust;systems_efficiency,retrieval_representation,0,agent-memory
2603.25097,2026-03-26,transition-2026-Feb-Mar,ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents,https://arxiv.org/abs/2603.25097,False,core,evaluation,model,retrieval_access;representation_organization;update_forgetting;security_privacy_trust;systems_efficiency,security_governance;systems_efficiency,0,agent-memory
2603.25973,2026-03-26,transition-2026-Feb-Mar,MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization,https://arxiv.org/abs/2603.25973,True,supporting,evaluation,model,evaluation_diagnosis;systems_efficiency,benchmark_diagnosis;personal_shared,5,memory-evaluation
2604.19771,2026-03-27,transition-2026-Feb-Mar,Cognis: Context-Aware Memory for Conversational AI Agents,https://arxiv.org/abs/2604.19771,True,core,experience_learning,model,retrieval_access;evaluation_diagnosis;systems_efficiency,,4,long-term-memory
2603.28088,2026-03-30,transition-2026-Feb-Mar,GEMS: Agent-Native Multimodal Generation with Memory and Skills,https://arxiv.org/abs/2603.28088,True,core,experience_learning,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui,experience_skill_policy;execution_multimodal,4,agent-memory
2603.29493,2026-03-31,transition-2026-Feb-Mar,MemFactory: Unified Inference & Training Framework for Agent Memory,https://arxiv.org/abs/2603.29493,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis,,6,agent-memory
2604.00131,2026-03-31,transition-2026-Feb-Mar,Oblivion: Self-Adaptive Agentic Memory Control through Decay-Driven Activation,https://arxiv.org/abs/2604.00131,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,update_forgetting;experience_skill_policy,2,agent-memory
2604.00556,2026-04-01,recent-2026-Apr-Jul,HabitatAgent: An End-to-End Multi-Agent System for Housing Consultation,https://arxiv.org/abs/2604.00556,False,core,experience_learning,model,retrieval_access;update_forgetting;evaluation_diagnosis;multi_agent_shared,personal_shared,6,agent-memory
2604.01007,2026-04-01,recent-2026-Apr-Jul,Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory,https://arxiv.org/abs/2604.01007,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,retrieval_representation;execution_multimodal,8,agent-memory
2604.01560,2026-04-02,recent-2026-Apr-Jul,DeltaMem: Towards Agentic Memory Management via Reinforcement Learning,https://arxiv.org/abs/2604.01560,True,core,update_forgetting,model,experience_skill_learning;evaluation_diagnosis;multi_agent_shared,experience_skill_policy,4,agent-memory;memory-evaluation
2604.01658,2026-04-02,recent-2026-Apr-Jul,CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery,https://arxiv.org/abs/2604.01658,False,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multi_agent_shared,personal_shared,5,long-term-memory
2604.01707,2026-04-02,recent-2026-Apr-Jul,Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework,https://arxiv.org/abs/2604.01707,True,core,access,model,retrieval_access;execution_state;evaluation_diagnosis,,4,agent-memory
2604.02522,2026-04-02,recent-2026-Apr-Jul,Opal: Private Memory for Personal AI,https://arxiv.org/abs/2604.02522,True,core,access,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,6,agent-memory
2604.02623,2026-04-03,recent-2026-Apr-Jul,"Poison Once, Exploit Forever: Environment-Injected Memory Poisoning Attacks on Web Agents",https://arxiv.org/abs/2604.02623,True,core,update_forgetting,model,retrieval_access;execution_state;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,execution_multimodal;security_governance,4,agent-memory
2604.03588,2026-04-04,recent-2026-Apr-Jul,Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory,https://arxiv.org/abs/2604.03588,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation,0,agent-memory
2604.04157,2026-04-05,recent-2026-Apr-Jul,Readable Minds: Emergent Theory-of-Mind-Like Behavior in LLM Poker Agents,https://arxiv.org/abs/2604.04157,False,core,execution_state,model,,,8,long-term-memory
2604.04503,2026-04-06,recent-2026-Apr-Jul,Memory Intelligence Agent,https://arxiv.org/abs/2604.04503,True,core,update_forgetting,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,3,agent-memory
2604.04514,2026-04-06,recent-2026-Apr-Jul,"SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems",https://arxiv.org/abs/2604.04514,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation;update_forgetting,4,agent-memory
2604.04660,2026-04-06,recent-2026-Apr-Jul,"Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception",https://arxiv.org/abs/2604.04660,True,supporting,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;multimodal_embodied_gui,systems_efficiency,6,long-term-memory
2604.04853,2026-04-06,recent-2026-Apr-Jul,MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents,https://arxiv.org/abs/2604.04853,True,core,experience_learning,model,retrieval_access;execution_state;evaluation_diagnosis;systems_efficiency,systems_efficiency;personal_shared,6,long-term-memory
2604.04901,2026-04-06,recent-2026-Apr-Jul,FileGram: Grounding Agent Personalization in File-System Behavioral Traces,https://arxiv.org/abs/2604.04901,False,supporting,execution_state,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,personal_shared,2,agent-memory
2604.05719,2026-04-07,recent-2026-Apr-Jul,Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing,https://arxiv.org/abs/2604.05719,False,supporting,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;systems_efficiency,benchmark_diagnosis,5,agent-memory
2604.07798,2026-04-09,recent-2026-Apr-Jul,Lightweight LLM Agent Memory with Small Language Models,https://arxiv.org/abs/2604.07798,True,core,experience_learning,model,retrieval_access;update_forgetting;execution_state;systems_efficiency,,2,agent-memory;long-term-memory
2604.07877,2026-04-09,recent-2026-Apr-Jul,MemReader: From Passive to Active Extraction for Long-Term Agent Memory,https://arxiv.org/abs/2604.07877,True,core,experience_learning,model,retrieval_access;representation_organization;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,5,agent-memory
2604.08064,2026-04-09,recent-2026-Apr-Jul,ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models,https://arxiv.org/abs/2604.08064,False,supporting,execution_state,model,retrieval_access;experience_skill_learning;evaluation_diagnosis,experience_skill_policy,8,memory-evaluation;procedural-memory
2604.08756,2026-04-09,recent-2026-Apr-Jul,Artifacts as Memory Beyond the Agent Boundary,https://arxiv.org/abs/2604.08756,True,supporting,execution_state,model,experience_skill_learning,,2,agent-memory
2604.09000,2026-04-10,recent-2026-Apr-Jul,StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding,https://arxiv.org/abs/2604.09000,True,core,experience_learning,model,retrieval_access;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal;systems_efficiency,5,agent-memory
2604.09388,2026-04-10,recent-2026-Apr-Jul,The AI Codebase Maturity Model: From Assisted Coding to Fully Autonomous Systems,https://arxiv.org/abs/2604.09388,False,core,experience_learning,model,representation_organization;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;systems_efficiency,,3,agent-memory
2604.09747,2026-04-10,recent-2026-Apr-Jul,ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying,https://arxiv.org/abs/2604.09747,True,supporting,execution_state,model,retrieval_access;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;security_governance,6,agent-memory
2604.11811,2026-04-10,recent-2026-Apr-Jul,M$^\star$: Every Task Deserves Its Own Memory Harness,https://arxiv.org/abs/2604.11811,True,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,5,agent-memory
2604.10981,2026-04-13,recent-2026-Apr-Jul,"ATANT v1.1: Positioning Continuity Evaluation Against Memory, Long-Context, and Agentic-Memory Benchmarks",https://arxiv.org/abs/2604.10981,True,supporting,evaluation,model,evaluation_diagnosis;security_privacy_trust,benchmark_diagnosis,5,agent-memory;memory-evaluation
2604.11544,2026-04-13,recent-2026-Apr-Jul,Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic Memory,https://arxiv.org/abs/2604.11544,True,core,update_forgetting,model,representation_organization;evaluation_diagnosis;multimodal_embodied_gui,retrieval_representation;systems_efficiency,4,agent-memory
2604.11563,2026-04-13,recent-2026-Apr-Jul,Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo,https://arxiv.org/abs/2604.11563,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,8,long-term-memory
2604.12007,2026-04-13,recent-2026-Apr-Jul,When to Forget: A Memory Governance Primitive,https://arxiv.org/abs/2604.12007,True,core,update_forgetting,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust,update_forgetting;security_governance,6,agent-memory
2604.12179,2026-04-14,recent-2026-Apr-Jul,AgenticAI-DialogGen: Topic-Guided Conversation Generation for Fine-Tuning and Evaluating Short- and Long-Term Memories of LLMs,https://arxiv.org/abs/2604.12179,True,core,update_forgetting,model,representation_organization;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;execution_multimodal,2,long-term-memory
2604.12285,2026-04-14,recent-2026-Apr-Jul,GAM: Hierarchical Graph-based Agentic Memory for LLM Agents,https://arxiv.org/abs/2604.12285,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;multimodal_embodied_gui;systems_efficiency,retrieval_representation,4,agent-memory
2604.12948,2026-04-14,recent-2026-Apr-Jul,Drawing on Memory: Dual-Trace Encoding Improves Cross-Session Recall in LLM Agents,https://arxiv.org/abs/2604.12948,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis;systems_efficiency,retrieval_representation,7,long-term-memory
2604.15774,2026-04-17,recent-2026-Apr-Jul,MemEvoBench: Benchmarking Safety Risks from Memory Misevolution in LLM Agents,https://arxiv.org/abs/2604.15774,True,supporting,evaluation,model,update_forgetting;execution_state;evaluation_diagnosis;security_privacy_trust,benchmark_diagnosis,4,long-term-memory
2604.15877,2026-04-17,recent-2026-Apr-Jul,"Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents",https://arxiv.org/abs/2604.15877,True,supporting,evaluation,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,experience_skill_policy;systems_efficiency,2,agent-memory;episodic-memory
2604.16548,2026-04-17,recent-2026-Apr-Jul,"A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory Lifecycle",https://arxiv.org/abs/2604.16548,True,core,update_forgetting,model,retrieval_access;update_forgetting;security_privacy_trust;systems_efficiency,benchmark_diagnosis;update_forgetting;security_governance,0,long-term-memory
2604.16839,2026-04-18,recent-2026-Apr-Jul,HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents,https://arxiv.org/abs/2604.16839,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;systems_efficiency,experience_skill_policy,5,episodic-memory;long-term-memory
2604.17273,2026-04-19,recent-2026-Apr-Jul,The Continuity Layer: Why Intelligence Needs an Architecture for What It Carries Forward,https://arxiv.org/abs/2604.17273,False,core,execution_state,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,3,agent-memory;memory-evaluation
2604.17456,2026-04-19,recent-2026-Apr-Jul,TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control,https://arxiv.org/abs/2604.17456,False,core,execution_state,model,representation_organization;execution_state;experience_skill_learning,,3,long-term-memory
2604.17658,2026-04-19,recent-2026-Apr-Jul,Towards Self-Improving Error Diagnosis in Multi-Agent Systems,https://arxiv.org/abs/2604.17658,False,core,execution_state,model,update_forgetting;evaluation_diagnosis;multi_agent_shared,benchmark_diagnosis;personal_shared,6,episodic-memory
2604.19541,2026-04-21,recent-2026-Apr-Jul,FOCAL: Filtered On-device Continuous Activity Logging for Efficient Personal Desktop Summarization,https://arxiv.org/abs/2604.19541,False,core,execution_state,model,retrieval_access;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,systems_efficiency,6,agent-memory
2604.20006,2026-04-21,recent-2026-Apr-Jul,From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents,https://arxiv.org/abs/2604.20006,True,core,execution_state,model,retrieval_access;update_forgetting;evaluation_diagnosis,benchmark_diagnosis;retrieval_representation;update_forgetting;personal_shared,3,agent-memory
2604.20117,2026-04-22,recent-2026-Apr-Jul,To Know is to Construct: Schema-Constrained Generation for Agent Memory,https://arxiv.org/abs/2604.20117,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui,,5,agent-memory
2604.20183,2026-04-22,recent-2026-Apr-Jul,Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving,https://arxiv.org/abs/2604.20183,True,core,execution_state,model,representation_organization;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,4,agent-memory
2604.20300,2026-04-22,recent-2026-Apr-Jul,FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory,https://arxiv.org/abs/2604.20300,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust,update_forgetting,5,agent-memory
2604.20582,2026-04-22,recent-2026-Apr-Jul,"Trust, Lies, and Long Memories: Emergent Social Dynamics and Reputation in Multi-Round Avalon with LLM Agents",https://arxiv.org/abs/2604.20582,True,core,execution_state,model,security_privacy_trust,security_governance,4,agent-memory
2604.20598,2026-04-22,recent-2026-Apr-Jul,"Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A Neuroscience-Inspired Framework for Temporal, Confidence-Weighted, and Relational Knowledge",https://arxiv.org/abs/2604.20598,False,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation;systems_efficiency,6,agent-memory
2604.22085,2026-04-23,recent-2026-Apr-Jul,Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents,https://arxiv.org/abs/2604.22085,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;execution_state;evaluation_diagnosis;systems_efficiency,retrieval_representation;execution_multimodal,3,agent-memory
2604.23711,2026-04-26,recent-2026-Apr-Jul,Spore: Efficient and Training-Free Privacy Extraction Attack on LLMs via Inference-Time Hybrid Probing,https://arxiv.org/abs/2604.23711,False,core,execution_state,model,retrieval_access;evaluation_diagnosis;security_privacy_trust;systems_efficiency,security_governance;systems_efficiency,4,agent-memory
2606.20570,2026-04-26,recent-2026-Apr-Jul,Infrastructure for the Agentic Web: Gap Analysis and Architecture from the Agentverse Platform,https://arxiv.org/abs/2606.20570,False,core,access,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;retrieval_representation,1,agent-memory
2604.26197,2026-04-29,recent-2026-Apr-Jul,Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent,https://arxiv.org/abs/2604.26197,True,core,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation,5,long-term-memory
2604.26622,2026-04-29,recent-2026-Apr-Jul,OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory,https://arxiv.org/abs/2604.26622,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,retrieval_representation;execution_multimodal,3,agent-memory
2604.27003,2026-04-29,recent-2026-Apr-Jul,When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents,https://arxiv.org/abs/2604.27003,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis;experience_skill_policy,3,procedural-memory
2604.27045,2026-04-29,recent-2026-Apr-Jul,Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture,https://arxiv.org/abs/2604.27045,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust,,5,agent-memory
2604.27283,2026-04-30,recent-2026-Apr-Jul,Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents,https://arxiv.org/abs/2604.27283,True,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;systems_efficiency,retrieval_representation;experience_skill_policy,3,agent-memory
2604.27707,2026-04-30,recent-2026-Apr-Jul,"Contextual Agentic Memory is a Memo, Not True Memory",https://arxiv.org/abs/2604.27707,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,3,agent-memory
2604.27996,2026-04-30,recent-2026-Apr-Jul,Exploring LLM Agent Designs and Interaction Modalities for Scientific Visualization,https://arxiv.org/abs/2604.27996,False,core,update_forgetting,model,representation_organization;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,4,long-term-memory
2605.00702,2026-05-01,recent-2026-Apr-Jul,Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory,https://arxiv.org/abs/2605.00702,True,core,update_forgetting,model,representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy,4,memory-evaluation
2605.01386,2026-05-02,recent-2026-Apr-Jul,MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents,https://arxiv.org/abs/2605.01386,True,core,representation,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation;experience_skill_policy,2,long-term-memory
2605.01970,2026-05-03,recent-2026-Apr-Jul,Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration,https://arxiv.org/abs/2605.01970,True,core,update_forgetting,model,evaluation_diagnosis;security_privacy_trust;systems_efficiency,,4,agent-memory;long-term-memory
2605.02199,2026-05-04,recent-2026-Apr-Jul,MEMAUDIT: An Exact Package-Oracle Evaluation Protocol for Budgeted Long-Term LLM Memory Writing,https://arxiv.org/abs/2605.02199,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis;systems_efficiency,3,long-term-memory
2605.03228,2026-05-04,recent-2026-Apr-Jul,MAGE: Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory,https://arxiv.org/abs/2605.03228,True,core,update_forgetting,model,retrieval_access;execution_state;evaluation_diagnosis;security_privacy_trust,execution_multimodal,5,agent-memory
2605.03312,2026-05-05,recent-2026-Apr-Jul,MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents,https://arxiv.org/abs/2605.03312,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;systems_efficiency,,7,agent-memory;memory-evaluation
2605.03354,2026-05-05,recent-2026-Apr-Jul,What Happens Inside Agent Memory? Circuit Analysis from Emergence to Diagnosis,https://arxiv.org/abs/2605.03354,True,core,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis,5,agent-memory
2605.03804,2026-05-05,recent-2026-Apr-Jul,ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting,https://arxiv.org/abs/2605.03804,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;multimodal_embodied_gui;systems_efficiency,update_forgetting;systems_efficiency;personal_shared,4,agent-memory;episodic-memory;long-term-memory
2605.06702,2026-05-05,recent-2026-Apr-Jul,CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment,https://arxiv.org/abs/2605.06702,False,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy,5,episodic-memory
2605.04811,2026-05-06,recent-2026-Apr-Jul,Tree-based Credit Assignment for Multi-Agent Memory System,https://arxiv.org/abs/2605.04811,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;systems_efficiency,experience_skill_policy;personal_shared,5,agent-memory
2605.04897,2026-05-06,recent-2026-Apr-Jul,Storage Is Not Memory: A Retrieval-Centered Architecture for Agent Recall,https://arxiv.org/abs/2605.04897,True,core,access,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,retrieval_representation;systems_efficiency,3,agent-memory
2605.05583,2026-05-07,recent-2026-Apr-Jul,Belief Memory: Agent Memory Under Partial Observability,https://arxiv.org/abs/2605.05583,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis,,5,agent-memory
2605.06132,2026-05-07,recent-2026-Apr-Jul,MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval,https://arxiv.org/abs/2605.06132,True,core,update_forgetting,model,retrieval_access;evaluation_diagnosis;systems_efficiency,retrieval_representation,7,agent-memory
2605.06527,2026-05-07,recent-2026-Apr-Jul,STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?,https://arxiv.org/abs/2605.06527,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,update_forgetting,7,agent-memory
2605.06716,2026-05-07,recent-2026-Apr-Jul,From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms,https://arxiv.org/abs/2605.06716,True,core,experience_learning,model,retrieval_access;execution_state;experience_skill_learning;systems_efficiency,benchmark_diagnosis;experience_skill_policy;systems_efficiency,0,agent-memory
2605.06812,2026-05-07,recent-2026-Apr-Jul,Towards Security-Auditable LLM Agents: A Unified Graph Representation,https://arxiv.org/abs/2605.06812,False,core,security_privacy,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;multi_agent_shared,retrieval_representation;security_governance,3,long-term-memory
2605.07242,2026-05-08,recent-2026-Apr-Jul,MEMOREPAIR: Barrier-First Cascade Repair in Agentic Memory,https://arxiv.org/abs/2605.07242,True,core,update_forgetting,model,update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,8,agent-memory
2605.07313,2026-05-08,recent-2026-Apr-Jul,When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory,https://arxiv.org/abs/2605.07313,True,supporting,evaluation,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis,3,agent-memory
2605.08374,2026-05-08,recent-2026-Apr-Jul,MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs,https://arxiv.org/abs/2605.08374,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,experience_skill_policy;security_governance,3,agent-memory;episodic-memory
2605.08442,2026-05-08,recent-2026-Apr-Jul,Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents,https://arxiv.org/abs/2605.08442,True,supporting,security_privacy,model,retrieval_access;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;security_governance,7,long-term-memory
2605.08468,2026-05-08,recent-2026-Apr-Jul,"PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents",https://arxiv.org/abs/2605.08468,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;systems_efficiency,retrieval_representation,5,episodic-memory
2605.08538,2026-05-08,recent-2026-Apr-Jul,Human-Inspired Memory Architecture for LLM Agents,https://arxiv.org/abs/2605.08538,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,8,long-term-memory
2605.09033,2026-05-09,recent-2026-Apr-Jul,ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts,https://arxiv.org/abs/2605.09033,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust,retrieval_representation;security_governance,7,agent-memory
2605.09315,2026-05-10,recent-2026-Apr-Jul,Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation,https://arxiv.org/abs/2605.09315,True,core,update_forgetting,model,update_forgetting;execution_state;experience_skill_learning;systems_efficiency,update_forgetting;experience_skill_policy,0,long-term-memory
2605.09330,2026-05-10,recent-2026-Apr-Jul,The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory,https://arxiv.org/abs/2605.09330,True,supporting,evaluation,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,2,agent-memory
2605.11032,2026-05-10,recent-2026-Apr-Jul,Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents,https://arxiv.org/abs/2605.11032,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;security_privacy_trust;systems_efficiency,retrieval_representation,1,agent-memory
2605.09863,2026-05-11,recent-2026-Apr-Jul,Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents,https://arxiv.org/abs/2605.09863,False,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;systems_efficiency,,7,agent-memory
2605.09942,2026-05-11,recent-2026-Apr-Jul,HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution,https://arxiv.org/abs/2605.09942,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;multi_agent_shared,retrieval_representation;experience_skill_policy,3,agent-memory
2605.10268,2026-05-11,recent-2026-Apr-Jul,MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading,https://arxiv.org/abs/2605.10268,True,core,update_forgetting,model,retrieval_access;update_forgetting;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,execution_multimodal,5,agent-memory
2605.10870,2026-05-11,recent-2026-Apr-Jul,"Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory",https://arxiv.org/abs/2605.10870,True,core,update_forgetting,model,update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,,3,agent-memory
2605.10899,2026-05-11,recent-2026-Apr-Jul,RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards,https://arxiv.org/abs/2605.10899,False,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy;execution_multimodal,4,agent-memory
2605.13880,2026-05-11,recent-2026-Apr-Jul,PREPING: Building Agent Memory without Tasks,https://arxiv.org/abs/2605.13880,True,core,update_forgetting,model,representation_organization;update_forgetting;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,,5,agent-memory
2605.11814,2026-05-12,recent-2026-Apr-Jul,MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare,https://arxiv.org/abs/2605.11814,True,core,execution_state,model,retrieval_access;execution_state;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis;personal_shared,3,agent-memory
2605.12061,2026-05-12,recent-2026-Apr-Jul,SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory,https://arxiv.org/abs/2605.12061,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis,retrieval_representation;experience_skill_policy,2,agent-memory;long-term-memory;memory-evaluation
2605.12213,2026-05-12,recent-2026-Apr-Jul,Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems,https://arxiv.org/abs/2605.12213,True,core,update_forgetting,model,retrieval_access;execution_state,retrieval_representation,5,agent-memory
2605.12294,2026-05-12,recent-2026-Apr-Jul,Executable Agentic Memory for GUI Agent,https://arxiv.org/abs/2605.12294,True,core,execution_state,model,retrieval_access;representation_organization;execution_state;multimodal_embodied_gui;systems_efficiency,execution_multimodal,2,agent-memory
2605.12493,2026-05-12,recent-2026-Apr-Jul,LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues,https://arxiv.org/abs/2605.12493,True,core,experience_learning,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;experience_skill_policy,8,agent-memory;memory-evaluation
2605.12978,2026-05-13,recent-2026-Apr-Jul,Useful Memories Become Faulty When Continuously Updated by LLMs,https://arxiv.org/abs/2605.12978,True,core,update_forgetting,model,update_forgetting;experience_skill_learning;evaluation_diagnosis,update_forgetting,6,agent-memory
2605.13438,2026-05-13,recent-2026-Apr-Jul,CogniFold: Always-On Proactive Memory via Cognitive Folding,https://arxiv.org/abs/2605.13438,True,core,representation,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis,,3,agent-memory
2605.13542,2026-05-13,recent-2026-Apr-Jul,RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation,https://arxiv.org/abs/2605.13542,False,core,execution_state,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis,benchmark_diagnosis,4,agent-memory
2605.13941,2026-05-13,recent-2026-Apr-Jul,EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents,https://arxiv.org/abs/2605.13941,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis,retrieval_representation;experience_skill_policy,8,long-term-memory
2605.14421,2026-05-14,recent-2026-Apr-Jul,MemLineage: Lineage-Guided Enforcement for LLM Agent Memory,https://arxiv.org/abs/2605.14421,True,supporting,security_privacy,model,retrieval_access;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,execution_multimodal,5,agent-memory
2605.14498,2026-05-14,recent-2026-Apr-Jul,GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations,https://arxiv.org/abs/2605.14498,True,supporting,evaluation,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,benchmark_diagnosis,7,agent-memory
2605.14906,2026-05-14,recent-2026-Apr-Jul,MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models,https://arxiv.org/abs/2605.14906,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;execution_multimodal,6,agent-memory
2605.15128,2026-05-14,recent-2026-Apr-Jul,MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory,https://arxiv.org/abs/2605.15128,True,supporting,evaluation,model,retrieval_access;representation_organization;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;execution_multimodal,3,agent-memory
2605.15338,2026-05-14,recent-2026-Apr-Jul,Hidden in Memory: Sleeper Memory Poisoning in LLM Agents,https://arxiv.org/abs/2605.15338,True,supporting,security_privacy,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,security_governance,4,long-term-memory
2605.15701,2026-05-15,recent-2026-Apr-Jul,H-Mem: A Novel Memory Mechanism for Evolving and Retrieving Agent Memory via a Hybrid Structure,https://arxiv.org/abs/2605.15701,True,core,update_forgetting,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,retrieval_representation;experience_skill_policy,2,agent-memory;memory-evaluation
2605.15710,2026-05-15,recent-2026-Apr-Jul,SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory,https://arxiv.org/abs/2605.15710,True,supporting,evaluation,model,retrieval_access;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;execution_multimodal,4,agent-memory;memory-evaluation
2605.15759,2026-05-15,recent-2026-Apr-Jul,DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory,https://arxiv.org/abs/2605.15759,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,systems_efficiency,5,agent-memory;long-term-memory
2605.16233,2026-05-15,recent-2026-Apr-Jul,FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast,https://arxiv.org/abs/2605.16233,True,supporting,evaluation,model,representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;systems_efficiency,update_forgetting;experience_skill_policy,8,agent-memory
2605.16481,2026-05-15,recent-2026-Apr-Jul,"Visual Agentic Memory: Enabling Online Long Video Understanding via Online Indexing, Hierarchical Memory, and Agentic Retrieval",https://arxiv.org/abs/2605.16481,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;multimodal_embodied_gui,retrieval_representation;execution_multimodal,5,agent-memory
2605.16746,2026-05-16,recent-2026-Apr-Jul,State Contamination in Memory-Augmented LLM Agents,https://arxiv.org/abs/2605.16746,True,supporting,security_privacy,model,retrieval_access;representation_organization;update_forgetting;execution_state;security_privacy_trust;multi_agent_shared;systems_efficiency,security_governance,6,long-term-memory
2605.16858,2026-05-16,recent-2026-Apr-Jul,Pedestrian-Aware LLM-Driven Behavioral Planning for Autonomous Vehicles,https://arxiv.org/abs/2605.16858,False,core,execution_state,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis,,7,episodic-memory
2605.23986,2026-05-16,recent-2026-Apr-Jul,MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing,https://arxiv.org/abs/2605.23986,True,core,update_forgetting,model,representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,retrieval_representation;systems_efficiency,8,agent-memory;memory-evaluation
2605.17348,2026-05-17,recent-2026-Apr-Jul,"Taming ""Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution",https://arxiv.org/abs/2605.17348,False,core,update_forgetting,model,multi_agent_shared;systems_efficiency,personal_shared,5,agent-memory
2605.17596,2026-05-17,recent-2026-Apr-Jul,"NeuSymMS: A Hybrid Neuro-Symbolic Memory System for Persistent, Self-Curating LLM Agents",https://arxiv.org/abs/2605.17596,True,core,update_forgetting,model,retrieval_access;representation_organization;security_privacy_trust,,0,long-term-memory
2605.17625,2026-05-17,recent-2026-Apr-Jul,Episodic-Semantic Memory Architecture for Long-Horizon Scientific Agents,https://arxiv.org/abs/2605.17625,True,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;evaluation_diagnosis;systems_efficiency,execution_multimodal,7,agent-memory
2605.17641,2026-05-17,recent-2026-Apr-Jul,Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents,https://arxiv.org/abs/2605.17641,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis,execution_multimodal,6,long-term-memory
2605.18284,2026-05-18,recent-2026-Apr-Jul,CommitDistill: A Lightweight Knowledge-Centric Memory Layer for Software Repositories,https://arxiv.org/abs/2605.18284,True,core,execution_state,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;systems_efficiency,6,agent-memory
2605.18421,2026-05-18,recent-2026-Apr-Jul,EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective,https://arxiv.org/abs/2605.18421,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis;experience_skill_policy,6,agent-memory;long-term-memory
2605.18652,2026-05-18,recent-2026-Apr-Jul,MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents,https://arxiv.org/abs/2605.18652,True,core,update_forgetting,model,retrieval_access;execution_state;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;execution_multimodal,5,agent-memory
2605.18930,2026-05-18,recent-2026-Apr-Jul,OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences,https://arxiv.org/abs/2605.18930,False,core,update_forgetting,model,representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust,experience_skill_policy;security_governance,6,agent-memory
2605.19952,2026-05-19,recent-2026-Apr-Jul,Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory,https://arxiv.org/abs/2605.19952,True,core,update_forgetting,model,retrieval_access;representation_organization;systems_efficiency,benchmark_diagnosis,6,agent-memory
2605.20616,2026-05-20,recent-2026-Apr-Jul,Auto-Dreamer: Learning Offline Memory Consolidation for Language Agents,https://arxiv.org/abs/2605.20616,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;security_privacy_trust,update_forgetting;experience_skill_policy,4,agent-memory
2605.20724,2026-05-20,recent-2026-Apr-Jul,CALMem : Application-Layer Dual Memory for Conversational AI,https://arxiv.org/abs/2605.20724,True,core,execution_state,model,retrieval_access;representation_organization;multimodal_embodied_gui;systems_efficiency,,0,episodic-memory
2605.20833,2026-05-20,recent-2026-Apr-Jul,MemGym: a Long-Horizon Memory Environment for LLM Agents,https://arxiv.org/abs/2605.20833,True,core,execution_state,model,retrieval_access;update_forgetting;execution_state;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,3,agent-memory;memory-evaluation
2605.21463,2026-05-20,recent-2026-Apr-Jul,Mem-$π$: Adaptive Memory through Learning When and What to Generate,https://arxiv.org/abs/2605.21463,True,core,execution_state,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy,6,episodic-memory
2605.22411,2026-05-21,recent-2026-Apr-Jul,DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Memory QA,https://arxiv.org/abs/2605.22411,True,core,execution_state,model,retrieval_access;representation_organization;experience_skill_learning;systems_efficiency,experience_skill_policy,2,long-term-memory
2605.22721,2026-05-21,recent-2026-Apr-Jul,Self-Evolving Multi-Agent Systems via Decentralized Memory,https://arxiv.org/abs/2605.22721,True,core,execution_state,model,update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;personal_shared,6,long-term-memory
2605.23067,2026-05-21,recent-2026-Apr-Jul,What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA,https://arxiv.org/abs/2605.23067,True,core,execution_state,model,experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis;experience_skill_policy,3,agent-memory
2605.23723,2026-05-22,recent-2026-Apr-Jul,MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection,https://arxiv.org/abs/2605.23723,True,core,execution_state,model,retrieval_access;execution_state;evaluation_diagnosis;security_privacy_trust,security_governance,2,agent-memory;long-term-memory
2605.24941,2026-05-24,recent-2026-Apr-Jul,Memory-Induced Tool-Drift in LLM Agents,https://arxiv.org/abs/2605.24941,True,core,execution_state,model,evaluation_diagnosis;security_privacy_trust;systems_efficiency,,5,long-term-memory
2605.25002,2026-05-24,recent-2026-Apr-Jul,MemMark: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems,https://arxiv.org/abs/2605.25002,True,core,execution_state,model,update_forgetting;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,,5,agent-memory
2605.26154,2026-05-24,recent-2026-Apr-Jul,MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning,https://arxiv.org/abs/2605.26154,True,core,execution_state,model,experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,security_governance,6,long-term-memory
2605.25869,2026-05-25,recent-2026-Apr-Jul,Mitigating Provenance-Role Collapse in Long-Term Agents via Typed Memory Representation,https://arxiv.org/abs/2605.25869,True,core,execution_state,model,retrieval_access;representation_organization;security_privacy_trust;systems_efficiency,retrieval_representation;security_governance,5,long-term-memory
2605.26252,2026-05-25,recent-2026-Apr-Jul,Is Agent Memory a Database? Rethinking Data Foundations for Long-Term AI Agent Memory,https://arxiv.org/abs/2605.26252,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;execution_state;security_privacy_trust;systems_efficiency,benchmark_diagnosis;retrieval_representation,1,agent-memory
2605.26256,2026-05-25,recent-2026-Apr-Jul,Personalizing Embodied Multimodal Large Language Model Agents over Long-term User Interactions,https://arxiv.org/abs/2605.26256,False,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal;personal_shared,2,episodic-memory
2605.27366,2026-05-26,recent-2026-Apr-Jul,"MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation",https://arxiv.org/abs/2605.27366,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis;experience_skill_policy,6,agent-memory
2605.27760,2026-05-26,recent-2026-Apr-Jul,SkillGrad: Optimizing Agent Skills Like Gradient Descent,https://arxiv.org/abs/2605.27760,False,core,update_forgetting,model,representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis,experience_skill_policy,5,long-term-memory
2605.27762,2026-05-26,recent-2026-Apr-Jul,PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft,https://arxiv.org/abs/2605.27762,True,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,experience_skill_policy;execution_multimodal,5,agent-memory
2605.27825,2026-05-27,recent-2026-Apr-Jul,MRMMIA: Membership Inference Attacks on Memory in Chat Agents,https://arxiv.org/abs/2605.27825,True,core,security_privacy,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust,security_governance,4,agent-memory
2605.28046,2026-05-27,recent-2026-Apr-Jul,MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents,https://arxiv.org/abs/2605.28046,True,core,execution_state,model,retrieval_access;evaluation_diagnosis;multimodal_embodied_gui,,4,agent-memory
2605.29341,2026-05-28,recent-2026-Apr-Jul,WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction,https://arxiv.org/abs/2605.29341,True,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;execution_multimodal,5,agent-memory
2605.29630,2026-05-28,recent-2026-Apr-Jul,Entity-Collision: A Stratified Protocol for Attributing Retrieval Lift in Agent Memory,https://arxiv.org/abs/2605.29630,True,core,update_forgetting,model,retrieval_access;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation,7,agent-memory;memory-evaluation
2605.29640,2026-05-28,recent-2026-Apr-Jul,VikingMem: A Memory Base Management System for Stateful LLM-based Applications,https://arxiv.org/abs/2605.29640,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis;systems_efficiency,,6,agent-memory;memory-evaluation
2605.29960,2026-05-28,recent-2026-Apr-Jul,Hijacking Agent Memory: Stealthy Trojan Attacks Through Conversational Interaction,https://arxiv.org/abs/2605.29960,True,core,update_forgetting,model,evaluation_diagnosis;security_privacy_trust,security_governance,5,agent-memory;long-term-memory
2605.30058,2026-05-28,recent-2026-Apr-Jul,HEART-Bench: Do LLM Agents Exhibit Human-like Psychology?,https://arxiv.org/abs/2605.30058,False,core,experience_learning,model,representation_organization;update_forgetting;execution_state;evaluation_diagnosis;multimodal_embodied_gui,,2,episodic-memory
2605.30621,2026-05-28,recent-2026-Apr-Jul,Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents,https://arxiv.org/abs/2605.30621,False,core,update_forgetting,model,update_forgetting;execution_state;experience_skill_learning;systems_efficiency,experience_skill_policy,2,procedural-memory
2607.00017,2026-05-28,recent-2026-Apr-Jul,Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory,https://arxiv.org/abs/2607.00017,True,core,experience_learning,model,retrieval_access;evaluation_diagnosis;multimodal_embodied_gui,retrieval_representation;experience_skill_policy;personal_shared,5,long-term-memory
2605.30690,2026-05-29,recent-2026-Apr-Jul,ElasticMem: Latent Memory as a Learnable Resource for LLM Agents,https://arxiv.org/abs/2605.30690,True,core,representation,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,8,long-term-memory
2605.30711,2026-05-29,recent-2026-Apr-Jul,SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs,https://arxiv.org/abs/2605.30711,True,core,representation,model,retrieval_access;systems_efficiency,systems_efficiency,3,agent-memory
2605.30858,2026-05-29,recent-2026-Apr-Jul,ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory,https://arxiv.org/abs/2605.30858,True,core,representation,model,retrieval_access;representation_organization;experience_skill_learning;multimodal_embodied_gui,experience_skill_policy;execution_multimodal,2,agent-memory
2605.31075,2026-05-29,recent-2026-Apr-Jul,Task-Focused Memorization for Multimodal Agents,https://arxiv.org/abs/2605.31075,True,core,representation,model,experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,4,agent-memory
2606.00619,2026-05-30,recent-2026-Apr-Jul,MemPro: Agentic Memory Systems as Evolvable Programs,https://arxiv.org/abs/2606.00619,True,core,representation,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,6,agent-memory
2606.00734,2026-05-30,recent-2026-Apr-Jul,EMA: Approximate Nearest Neighbor Search with General Attribute Filtering and Dynamic Updates,https://arxiv.org/abs/2606.00734,False,core,representation,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,retrieval_representation;update_forgetting,4,agent-memory
2606.00756,2026-05-30,recent-2026-Apr-Jul,CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Cloud-Edge Systems,https://arxiv.org/abs/2606.00756,True,core,representation,model,representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,execution_multimodal;systems_efficiency;personal_shared,2,long-term-memory
2606.01138,2026-05-31,recent-2026-Apr-Jul,memorywire: A Vendor-Neutral Wire Format for Agent Memory Operations,https://arxiv.org/abs/2606.01138,True,core,representation,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;systems_efficiency,systems_efficiency,6,agent-memory
2606.01528,2026-06-01,recent-2026-Apr-Jul,Joint Agent Memory and Exploration Learning via Novelty Signals,https://arxiv.org/abs/2606.01528,True,core,representation,model,evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,5,agent-memory
2606.01722,2026-06-01,recent-2026-Apr-Jul,Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure,https://arxiv.org/abs/2606.01722,False,core,representation,model,retrieval_access;representation_organization;security_privacy_trust;multimodal_embodied_gui,retrieval_representation;security_governance,1,agent-memory
2606.02812,2026-06-01,recent-2026-Apr-Jul,Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection,https://arxiv.org/abs/2606.02812,False,core,representation,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui,experience_skill_policy;personal_shared,3,agent-memory
2606.03197,2026-06-02,recent-2026-Apr-Jul,MemTrain: Self-Supervised Context Memory Training,https://arxiv.org/abs/2606.03197,True,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,,4,agent-memory
2606.03329,2026-06-02,recent-2026-Apr-Jul,InfoMem: Training Long-Context Memory Agents with Answer-Conditioned Information Gain,https://arxiv.org/abs/2606.03329,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;systems_efficiency,,5,agent-memory
2606.03374,2026-06-02,recent-2026-Apr-Jul,eMEM: A Hybrid Spatio-Temporal Memory System For Embodied Agents,https://arxiv.org/abs/2606.03374,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;execution_state;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,6,agent-memory;memory-evaluation
2606.04120,2026-06-02,recent-2026-Apr-Jul,SaliMory: Orchestrating Cognitive Memory for Conversational Agents,https://arxiv.org/abs/2606.04120,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning,,5,agent-memory
2606.04315,2026-06-03,recent-2026-Apr-Jul,Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline,https://arxiv.org/abs/2606.04315,True,core,execution_state,model,retrieval_access;execution_state;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis,2,agent-memory
2606.04329,2026-06-03,recent-2026-Apr-Jul,From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents,https://arxiv.org/abs/2606.04329,True,core,security_privacy,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,benchmark_diagnosis;security_governance,3,long-term-memory
2606.04555,2026-06-03,recent-2026-Apr-Jul,Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents,https://arxiv.org/abs/2606.04555,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;evaluation_diagnosis;systems_efficiency,execution_multimodal,4,agent-memory;memory-evaluation
2606.04628,2026-06-03,recent-2026-Apr-Jul,RAMPART: Registry-based Agentic Memory with Priority-Aware Runtime Transformation,https://arxiv.org/abs/2606.04628,True,core,update_forgetting,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;systems_efficiency,systems_efficiency,6,agent-memory
2606.04780,2026-06-03,recent-2026-Apr-Jul,PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents,https://arxiv.org/abs/2606.04780,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,retrieval_representation;update_forgetting,3,agent-memory;long-term-memory;memory-evaluation
2606.05513,2026-06-03,recent-2026-Apr-Jul,EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting under Regime Shifts,https://arxiv.org/abs/2606.05513,False,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;security_privacy_trust,experience_skill_policy,5,episodic-memory
2606.28349,2026-06-03,recent-2026-Apr-Jul,HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning,https://arxiv.org/abs/2606.28349,True,core,representation,model,retrieval_access;representation_organization;evaluation_diagnosis;multi_agent_shared,retrieval_representation;personal_shared,4,agent-memory
2606.05646,2026-06-04,recent-2026-Apr-Jul,Enhancing Software Engineering Through Closed-Loop Memory Optimization,https://arxiv.org/abs/2606.05646,True,core,update_forgetting,model,experience_skill_learning;evaluation_diagnosis;systems_efficiency,,4,episodic-memory
2606.05684,2026-06-04,recent-2026-Apr-Jul,AdaMEM: Test-Time Adaptive Memory for Language Agents,https://arxiv.org/abs/2606.05684,True,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,6,agent-memory
2606.06054,2026-06-04,recent-2026-Apr-Jul,Beyond Similarity: Trustworthy Memory Search for Personal AI Agents,https://arxiv.org/abs/2606.06054,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation;security_governance,2,agent-memory
2606.06090,2026-06-04,recent-2026-Apr-Jul,Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents,https://arxiv.org/abs/2606.06090,True,core,execution_state,model,retrieval_access;representation_organization;execution_state;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,retrieval_representation;execution_multimodal,6,agent-memory
2606.06240,2026-06-04,recent-2026-Apr-Jul,TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory,https://arxiv.org/abs/2606.06240,True,core,update_forgetting,model,update_forgetting;security_privacy_trust,,2,long-term-memory
2606.06448,2026-06-04,recent-2026-Apr-Jul,Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads,https://arxiv.org/abs/2606.06448,True,core,execution_state,model,retrieval_access;update_forgetting;execution_state;evaluation_diagnosis;systems_efficiency,execution_multimodal,2,agent-memory
2606.07402,2026-06-05,recent-2026-Apr-Jul,M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions,https://arxiv.org/abs/2606.07402,True,core,access,model,retrieval_access;representation_organization;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;execution_multimodal,4,memory-evaluation
2606.09900,2026-06-05,recent-2026-Apr-Jul,"Less Context, More Accuracy: A Bi-Temporal Memory Engine for LLM Agents Where a Lean Retrieved Context Beats the Full History",https://arxiv.org/abs/2606.09900,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,retrieval_representation,7,long-term-memory;memory-evaluation
2606.24896,2026-06-05,recent-2026-Apr-Jul,Why Memory Components Fail: Eight Years of License and Sustainability Events in Open-Source Data Infrastructure,https://arxiv.org/abs/2606.24896,True,core,access,model,representation_organization;experience_skill_learning;security_privacy_trust,retrieval_representation,1,agent-memory
2606.08367,2026-06-06,recent-2026-Apr-Jul,Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy,https://arxiv.org/abs/2606.08367,False,core,execution_state,model,retrieval_access;execution_state;evaluation_diagnosis;security_privacy_trust;multi_agent_shared,benchmark_diagnosis;execution_multimodal;personal_shared,3,long-term-memory
2606.09198,2026-06-08,recent-2026-Apr-Jul,MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation,https://arxiv.org/abs/2606.09198,True,core,experience_learning,model,retrieval_access;representation_organization;update_forgetting;execution_state;multimodal_embodied_gui,retrieval_representation,4,agent-memory
2606.09461,2026-06-08,recent-2026-Apr-Jul,H2HMem: A Multimodal Memory Benchmark for Agents in Human-Human Interactions,https://arxiv.org/abs/2606.09461,True,core,representation,model,retrieval_access;update_forgetting;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;execution_multimodal,3,memory-evaluation
2606.09483,2026-06-08,recent-2026-Apr-Jul,Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents,https://arxiv.org/abs/2606.09483,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;experience_skill_learning;evaluation_diagnosis,retrieval_representation;experience_skill_policy,2,agent-memory;long-term-memory
2606.09774,2026-06-08,recent-2026-Apr-Jul,Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters,https://arxiv.org/abs/2606.09774,False,core,execution_state,model,retrieval_access;experience_skill_learning;systems_efficiency,experience_skill_policy,2,agent-memory
2606.10062,2026-06-08,recent-2026-Apr-Jul,Deployment-Time Memorization in Foundation-Model Agents,https://arxiv.org/abs/2606.10062,True,supporting,evaluation,model,retrieval_access;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,5,agent-memory
2606.10299,2026-06-09,recent-2026-Apr-Jul,What Spatial Memory Must Store: Occlusion as the Test for Language-Agent Memory,https://arxiv.org/abs/2606.10299,True,core,execution_state,model,retrieval_access,execution_multimodal,7,agent-memory
2606.10423,2026-06-09,recent-2026-Apr-Jul,WebChallenger: A Reliable and Efficient Generalist Web Agent,https://arxiv.org/abs/2606.10423,False,core,execution_state,model,representation_organization;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,execution_multimodal;systems_efficiency,4,long-term-memory
2606.10532,2026-06-09,recent-2026-Apr-Jul,ActiveMem: Distributed Active Memory for Long-Horizon LLM Reasoning,https://arxiv.org/abs/2606.10532,True,core,execution_state,model,retrieval_access;update_forgetting;execution_state,execution_multimodal,3,agent-memory
2606.10577,2026-06-09,recent-2026-Apr-Jul,AgenticNav: Zero-Shot Vision-and-Language Navigation as a Tool-Calling Harness,https://arxiv.org/abs/2606.10577,False,core,execution_state,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,6,agent-memory
2606.10677,2026-06-09,recent-2026-Apr-Jul,Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory,https://arxiv.org/abs/2606.10677,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,retrieval_representation,3,agent-memory;long-term-memory
2606.11680,2026-06-10,recent-2026-Apr-Jul,Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents,https://arxiv.org/abs/2606.11680,True,core,execution_state,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,retrieval_representation;execution_multimodal;systems_efficiency,5,agent-memory
2606.12290,2026-06-10,recent-2026-Apr-Jul,Selection Integrity for LLM Graph Memory: An Accumulability Criterion for Information-Flow-Blind Retrieval,https://arxiv.org/abs/2606.12290,True,core,execution_state,model,retrieval_access;representation_organization;security_privacy_trust;systems_efficiency,retrieval_representation;security_governance,0,agent-memory
2606.12703,2026-06-10,recent-2026-Apr-Jul,SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems,https://arxiv.org/abs/2606.12703,True,core,execution_state,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,security_governance;systems_efficiency,3,long-term-memory
2606.12852,2026-06-11,recent-2026-Apr-Jul,WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning,https://arxiv.org/abs/2606.12852,False,core,execution_state,model,retrieval_access;representation_organization;execution_state;multimodal_embodied_gui,execution_multimodal,3,episodic-memory
2606.12945,2026-06-11,recent-2026-Apr-Jul,Learning What to Remember: A Cognitively Grounded Multi-Factor Value Model for Agentic Memory,https://arxiv.org/abs/2606.12945,True,core,execution_state,model,retrieval_access;update_forgetting;evaluation_diagnosis;systems_efficiency,experience_skill_policy,9,agent-memory
2606.13177,2026-06-11,recent-2026-Apr-Jul,MemRefine: LLM-Guided Compression for Long-Term Agent Memory,https://arxiv.org/abs/2606.13177,True,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal;systems_efficiency,4,agent-memory
2606.13392,2026-06-11,recent-2026-Apr-Jul,MiniMax Sparse Attention,https://arxiv.org/abs/2606.13392,False,supporting,execution_state,model,retrieval_access;representation_organization;multimodal_embodied_gui;systems_efficiency,,4,long-term-memory
2606.14470,2026-06-12,recent-2026-Apr-Jul,"GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge",https://arxiv.org/abs/2606.14470,True,supporting,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,,6,agent-memory
2606.14571,2026-06-12,recent-2026-Apr-Jul,StreamMemBench: Streaming Evaluation of Agent Memory for Future-Oriented Assistance,https://arxiv.org/abs/2606.14571,True,supporting,execution_state,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis,benchmark_diagnosis,4,agent-memory;memory-evaluation
2606.15071,2026-06-13,recent-2026-Apr-Jul,Quantum learning with a single-atom sensor,https://arxiv.org/abs/2606.15071,False,supporting,execution_state,model,systems_efficiency,experience_skill_policy,0,agent-memory
2606.15609,2026-06-14,recent-2026-Apr-Jul,FragFuse: Bypassing Access Control of Large Language Model Agents via Memory-Based Query Fragmentation and Fusion,https://arxiv.org/abs/2606.15609,True,supporting,execution_state,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,,6,agent-memory;long-term-memory
2606.15903,2026-06-14,recent-2026-Apr-Jul,Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations,https://arxiv.org/abs/2606.15903,True,supporting,execution_state,model,retrieval_access;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,benchmark_diagnosis;update_forgetting,8,agent-memory
2606.16903,2026-06-15,recent-2026-Apr-Jul,Directory-Aware Query and Maintenance in Vector Databases,https://arxiv.org/abs/2606.16903,False,supporting,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,retrieval_representation,4,agent-memory
2606.17328,2026-06-15,recent-2026-Apr-Jul,MemTrace: Probing What Final Accuracy Misses in Long-Term Memory,https://arxiv.org/abs/2606.17328,True,supporting,execution_state,model,retrieval_access;execution_state;evaluation_diagnosis;systems_efficiency,,4,long-term-memory
2606.17628,2026-06-16,recent-2026-Apr-Jul,OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation,https://arxiv.org/abs/2606.17628,False,supporting,execution_state,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis,experience_skill_policy,4,agent-memory
2606.18356,2026-06-16,recent-2026-Apr-Jul,"SafeClawBench: Separating Semantic, Audit-Evidence, and Sandbox Harm in Tool-Using LLM Agents",https://arxiv.org/abs/2606.18356,False,supporting,execution_state,model,representation_organization;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,,7,long-term-memory
2606.18406,2026-06-16,recent-2026-Apr-Jul,CoreMem: Riemannian Retrieval and Fisher-Guided Distillation for Long-Term Memory in Dialogue Agents,https://arxiv.org/abs/2606.18406,True,supporting,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,retrieval_representation;experience_skill_policy;execution_multimodal,5,agent-memory
2606.18746,2026-06-17,recent-2026-Apr-Jul,What Must Generalist Agents Remember?,https://arxiv.org/abs/2606.18746,True,core,experience_learning,model,execution_state,,0,agent-memory
2606.18829,2026-06-17,recent-2026-Apr-Jul,GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents,https://arxiv.org/abs/2606.18829,True,supporting,shared_memory,model,retrieval_access;representation_organization;update_forgetting;execution_state;evaluation_diagnosis;security_privacy_trust;systems_efficiency,benchmark_diagnosis;security_governance,5,agent-memory;memory-evaluation
2606.18950,2026-06-17,recent-2026-Apr-Jul,RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models,https://arxiv.org/abs/2606.18950,False,supporting,update_forgetting,model,representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multi_agent_shared,benchmark_diagnosis,3,agent-memory
2606.19409,2026-06-17,recent-2026-Apr-Jul,OpenRath: Session-Centered Runtime State for Agent Systems,https://arxiv.org/abs/2606.19409,False,core,representation,model,evaluation_diagnosis;security_privacy_trust;multi_agent_shared;systems_efficiency,systems_efficiency,3,agent-memory
2606.19847,2026-06-18,recent-2026-Apr-Jul,AtomMem: Building Simple and Effective Memory System for LLM Agents via Atomic Facts,https://arxiv.org/abs/2606.19847,True,core,representation,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,,2,long-term-memory
2606.19857,2026-06-18,recent-2026-Apr-Jul,Large Language Models Do Not Always Need Readable Language,https://arxiv.org/abs/2606.19857,False,supporting,representation,model,representation_organization;evaluation_diagnosis;multi_agent_shared;systems_efficiency,,4,agent-memory
2606.20047,2026-06-18,recent-2026-Apr-Jul,PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents,https://arxiv.org/abs/2606.20047,False,supporting,update_forgetting,model,retrieval_access;systems_efficiency,,2,long-term-memory
2606.20515,2026-06-18,recent-2026-Apr-Jul,S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence,https://arxiv.org/abs/2606.20515,False,core,representation,model,representation_organization;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,6,agent-memory
2606.20954,2026-06-18,recent-2026-Apr-Jul,Learning What Not to Forget: Long-Horizon Agent Memory from a Few Kilobytes of Learning,https://arxiv.org/abs/2606.20954,True,core,representation,model,retrieval_access;update_forgetting;execution_state;evaluation_diagnosis;systems_efficiency,update_forgetting;experience_skill_policy;execution_multimodal,8,agent-memory
2606.21144,2026-06-19,recent-2026-Apr-Jul,AdaMem: Learning What to Remember for Personalized Long-Horizon LLM Agents,https://arxiv.org/abs/2606.21144,True,core,representation,model,representation_organization;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;systems_efficiency,experience_skill_policy;execution_multimodal;personal_shared,5,long-term-memory
2606.21562,2026-06-19,recent-2026-Apr-Jul,Compressing Observation History into Agent Memory: Distilling Transformers into Recurrent Transformers,https://arxiv.org/abs/2606.21562,True,supporting,representation,model,representation_organization;execution_state;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;systems_efficiency,2,agent-memory
2606.21649,2026-06-19,recent-2026-Apr-Jul,EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory,https://arxiv.org/abs/2606.21649,True,supporting,representation,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis,retrieval_representation;experience_skill_policy,6,agent-memory
2606.22030,2026-06-20,recent-2026-Apr-Jul,Nous: A Predictive World Model for Long-Term Agent Memory,https://arxiv.org/abs/2606.22030,True,core,experience_learning,model,representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,,5,agent-memory;memory-evaluation
2606.22263,2026-06-20,recent-2026-Apr-Jul,Revelio: Cost-Efficient Agentic Memory Safety Vulnerability Detection For Repository-Scale Codebases,https://arxiv.org/abs/2606.22263,True,supporting,security_privacy,model,evaluation_diagnosis;security_privacy_trust;systems_efficiency,security_governance;systems_efficiency,5,agent-memory
2606.22844,2026-06-22,recent-2026-Apr-Jul,RaMem: Contextual Reinstatement for Long-term Agentic Memory,https://arxiv.org/abs/2606.22844,True,core,execution_state,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis,,7,agent-memory;long-term-memory;memory-evaluation
2606.22877,2026-06-22,recent-2026-Apr-Jul,DynamicMem: A Long-Horizon Memory Benchmark in Real-World Settings,https://arxiv.org/abs/2606.22877,True,supporting,security_privacy,model,retrieval_access;update_forgetting;execution_state;evaluation_diagnosis;security_privacy_trust;systems_efficiency,benchmark_diagnosis;execution_multimodal,6,memory-evaluation
2606.23127,2026-06-22,recent-2026-Apr-Jul,"Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation",https://arxiv.org/abs/2606.23127,True,core,evaluation,model,experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis;experience_skill_policy,7,procedural-memory
2606.23195,2026-06-22,recent-2026-Apr-Jul,Memory Contagion: Cross-Temporal Propagation of Evaluator Bias via Agent Memory,https://arxiv.org/abs/2606.23195,True,supporting,security_privacy,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,benchmark_diagnosis,4,agent-memory
2606.23283,2026-06-22,recent-2026-Apr-Jul,Towards Root Memories: Benchmarking and Enhancing Implicit Logical Memory Retrieval for Personalized LLMs,https://arxiv.org/abs/2606.23283,True,core,execution_state,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis;retrieval_representation;personal_shared,5,agent-memory
2606.24322,2026-06-23,recent-2026-Apr-Jul,"Securing LLM-Agent Long-Term Memory Against Poisoning: Non-Malleable, Origin-Bound Authority with Machine-Checked Guarantees",https://arxiv.org/abs/2606.24322,True,supporting,security_privacy,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,security_governance,6,agent-memory;long-term-memory
2606.24535,2026-06-23,recent-2026-Apr-Jul,Governed Shared Memory for Multi-Agent LLM Systems,https://arxiv.org/abs/2606.24535,True,core,shared_memory,model,retrieval_access;update_forgetting;evaluation_diagnosis;security_privacy_trust;multi_agent_shared;systems_efficiency,security_governance;personal_shared,7,agent-memory
2606.24595,2026-06-23,recent-2026-Apr-Jul,MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery,https://arxiv.org/abs/2606.24595,True,supporting,security_privacy,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,5,agent-memory;long-term-memory
2606.24775,2026-06-23,recent-2026-Apr-Jul,Are We Ready For An Agent-Native Memory System?,https://arxiv.org/abs/2606.24775,True,core,update_forgetting,model,retrieval_access;representation_organization;update_forgetting;execution_state;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,6,agent-memory
2606.25115,2026-06-23,recent-2026-Apr-Jul,Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory,https://arxiv.org/abs/2606.25115,True,supporting,security_privacy,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui;systems_efficiency,update_forgetting;experience_skill_policy;systems_efficiency,2,agent-memory
2606.25161,2026-06-23,recent-2026-Apr-Jul,TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory,https://arxiv.org/abs/2606.25161,True,core,update_forgetting,model,update_forgetting;experience_skill_learning;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,update_forgetting;experience_skill_policy;security_governance,7,agent-memory;long-term-memory
2606.25206,2026-06-23,recent-2026-Apr-Jul,RAVEN: Long-Horizon Reasoning & Navigation with a Visuo-Spatio-Temporal Memory,https://arxiv.org/abs/2606.25206,True,core,execution_state,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,execution_multimodal,2,agent-memory
2606.26627,2026-06-25,recent-2026-Apr-Jul,Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents,https://arxiv.org/abs/2606.26627,False,supporting,security_privacy,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust,benchmark_diagnosis;security_governance,2,agent-memory
2606.26790,2026-06-25,recent-2026-Apr-Jul,OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning,https://arxiv.org/abs/2606.26790,False,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,6,procedural-memory
2606.27499,2026-06-25,recent-2026-Apr-Jul,DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection,https://arxiv.org/abs/2606.27499,True,core,execution_state,model,retrieval_access;execution_state;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,benchmark_diagnosis;execution_multimodal,6,agent-memory
2606.28781,2026-06-27,recent-2026-Apr-Jul,HyphaeDB: A Living Knowledge Topology for Agent-First Memory,https://arxiv.org/abs/2606.28781,True,core,execution_state,model,retrieval_access;representation_organization;multi_agent_shared;systems_efficiency,systems_efficiency,0,agent-memory
2606.28971,2026-06-27,recent-2026-Apr-Jul,Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution,https://arxiv.org/abs/2606.28971,False,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,3,episodic-memory
2606.29774,2026-06-29,recent-2026-Apr-Jul,Analytic Concept-Centric Memory for Agentic Embodied Manipulation,https://arxiv.org/abs/2606.29774,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,5,agent-memory;memory-evaluation
2606.29778,2026-06-29,recent-2026-Apr-Jul,Mandol: An Agglomerative Agent Memory System for Long-Term Conversations,https://arxiv.org/abs/2606.29778,True,core,execution_state,model,retrieval_access;representation_organization;update_forgetting;evaluation_diagnosis;systems_efficiency,,4,agent-memory
2606.29788,2026-06-29,recent-2026-Apr-Jul,MemLeak: Diagnosing Information Leaks in Multimodal Agent Memory,https://arxiv.org/abs/2606.29788,True,core,update_forgetting,model,representation_organization;update_forgetting;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,benchmark_diagnosis;execution_multimodal;security_governance,7,agent-memory
2606.29824,2026-06-29,recent-2026-Apr-Jul,Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steering,https://arxiv.org/abs/2606.29824,True,core,update_forgetting,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy,5,agent-memory;procedural-memory
2606.29914,2026-06-29,recent-2026-Apr-Jul,MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation,https://arxiv.org/abs/2606.29914,True,supporting,security_privacy,model,retrieval_access;update_forgetting;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis,7,agent-memory;memory-evaluation
2606.29961,2026-06-29,recent-2026-Apr-Jul,DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation,https://arxiv.org/abs/2606.29961,True,core,update_forgetting,model,experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui,experience_skill_policy;systems_efficiency,5,agent-memory
2606.30296,2026-06-29,recent-2026-Apr-Jul,ManimAgent: Self-Evolving Multimodal Agents for Visual Education,https://arxiv.org/abs/2606.30296,False,core,execution_state,model,retrieval_access;update_forgetting;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy;execution_multimodal,6,episodic-memory
2606.30566,2026-06-29,recent-2026-Apr-Jul,Forensic Trajectory Signatures for Agent Memory Poisoning Detection,https://arxiv.org/abs/2606.30566,True,core,update_forgetting,model,retrieval_access;execution_state;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,security_governance,4,agent-memory;long-term-memory
2606.30639,2026-06-29,recent-2026-Apr-Jul,Self-Evolving World Models for LLM Agent Planning,https://arxiv.org/abs/2606.30639,False,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis,experience_skill_policy,4,episodic-memory
2606.31046,2026-06-30,recent-2026-Apr-Jul,OpenLife: Toward Open-World Artificial Life with Autonomous LLM Agents,https://arxiv.org/abs/2606.31046,False,core,experience_learning,model,retrieval_access;representation_organization;experience_skill_learning;evaluation_diagnosis;systems_efficiency,,2,long-term-memory
2606.31612,2026-06-30,recent-2026-Apr-Jul,What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States,https://arxiv.org/abs/2606.31612,True,core,update_forgetting,model,retrieval_access;update_forgetting;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,benchmark_diagnosis;execution_multimodal,3,agent-memory
2607.02579,2026-06-30,recent-2026-Apr-Jul,When Not to Write Memory: Governing False Promotion from Correlated Agent Traces,https://arxiv.org/abs/2607.02579,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,update_forgetting;security_governance,4,agent-memory
2607.00454,2026-07-01,recent-2026-Apr-Jul,Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation,https://arxiv.org/abs/2607.00454,False,core,update_forgetting,model,retrieval_access;evaluation_diagnosis;multi_agent_shared;multimodal_embodied_gui;systems_efficiency,personal_shared,6,episodic-memory
2607.01047,2026-07-01,recent-2026-Apr-Jul,Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates,https://arxiv.org/abs/2607.01047,False,core,execution_state,model,retrieval_access;experience_skill_learning;evaluation_diagnosis,personal_shared,3,long-term-memory
2607.01071,2026-07-01,recent-2026-Apr-Jul,MemSyco-Bench: Benchmarking Sycophancy in Agent Memory,https://arxiv.org/abs/2607.01071,True,core,execution_state,model,retrieval_access;update_forgetting;evaluation_diagnosis;systems_efficiency,benchmark_diagnosis,4,agent-memory;memory-evaluation
2607.01523,2026-07-01,recent-2026-Apr-Jul,Multi-Head Recurrent Memory Agents,https://arxiv.org/abs/2607.01523,True,core,update_forgetting,model,update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,7,agent-memory
2607.01709,2026-07-02,recent-2026-Apr-Jul,COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows,https://arxiv.org/abs/2607.01709,False,core,update_forgetting,model,retrieval_access;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,experience_skill_policy,5,agent-memory
2607.01916,2026-07-02,recent-2026-Apr-Jul,ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair,https://arxiv.org/abs/2607.01916,True,core,update_forgetting,model,retrieval_access;representation_organization;evaluation_diagnosis;systems_efficiency,systems_efficiency,6,agent-memory
2607.01935,2026-07-02,recent-2026-Apr-Jul,A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory,https://arxiv.org/abs/2607.01935,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis,,3,agent-memory;long-term-memory
2607.03726,2026-07-04,recent-2026-Apr-Jul,SelfMem: Self-Optimizing Memory for AI Agents,https://arxiv.org/abs/2607.03726,True,core,update_forgetting,model,retrieval_access;execution_state;experience_skill_learning;evaluation_diagnosis;multimodal_embodied_gui;systems_efficiency,,7,agent-memory
2607.04089,2026-07-05,recent-2026-Apr-Jul,PLACEMEM: Toward a Compute-Aware Memory Plane for Lifelong Agents,https://arxiv.org/abs/2607.04089,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis;security_privacy_trust;systems_efficiency,,2,agent-memory
2607.04391,2026-07-05,recent-2026-Apr-Jul,Memory-Orchestrated Semantic System (MOSS): An Auditable Agentic Memory Architecture,https://arxiv.org/abs/2607.04391,True,core,update_forgetting,model,retrieval_access;representation_organization;systems_efficiency,,0,agent-memory
2607.05029,2026-07-06,recent-2026-Apr-Jul,Your Agent's Memories Are Not Its Own: Forged Reasoning Attacks on LLM Agent Memory and Defenses,https://arxiv.org/abs/2607.05029,True,core,update_forgetting,model,retrieval_access;evaluation_diagnosis;security_privacy_trust,security_governance,6,agent-memory;long-term-memory
2607.05577,2026-07-06,recent-2026-Apr-Jul,Narrative World Model: Narratology-Grounded Writer Memory for Long-Form Fiction,https://arxiv.org/abs/2607.05577,True,core,update_forgetting,model,retrieval_access;representation_organization;evaluation_diagnosis,,5,agent-memory
2607.06595,2026-07-06,recent-2026-Apr-Jul,When Agents Remember Too Much: Memory Poisoning Attacks on Large Language Model Agents,https://arxiv.org/abs/2607.06595,True,core,update_forgetting,model,retrieval_access;execution_state;security_privacy_trust;systems_efficiency,security_governance,4,agent-memory;long-term-memory
2607.06195,2026-07-07,recent-2026-Apr-Jul,LogicHunter: Testing LLM Agent Frameworks with an Agentic Oracle,https://arxiv.org/abs/2607.06195,False,core,update_forgetting,model,retrieval_access;representation_organization;evaluation_diagnosis;security_privacy_trust;multimodal_embodied_gui,,7,memory-evaluation
2607.07108,2026-07-08,recent-2026-Apr-Jul,Seeing and Reflecting: Multimodal Memory-Enhanced Agent Collaboration for Recommendation,https://arxiv.org/abs/2607.07108,True,core,update_forgetting,model,representation_organization;update_forgetting;experience_skill_learning;multimodal_embodied_gui,execution_multimodal,5,agent-memory
2607.08032,2026-07-09,recent-2026-Apr-Jul,"What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents",https://arxiv.org/abs/2607.08032,True,core,update_forgetting,model,retrieval_access;update_forgetting;evaluation_diagnosis;systems_efficiency,update_forgetting,5,agent-memory
2607.08716,2026-07-09,recent-2026-Apr-Jul,Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents,https://arxiv.org/abs/2607.08716,True,core,update_forgetting,model,retrieval_access;representation_organization;execution_state;evaluation_diagnosis;multimodal_embodied_gui,execution_multimodal,6,agent-memory
