Agent memory systems
Key facts. Agent memory systems: 718 papers on arXiv since 2023 (data through 7 Oct 2026). 300 of its 718 mapped papers (42%) cite “A-MEM: Agentic Memory for LLM Agents” (2025, arXiv 2502.12110). 276 of its 718 mapped papers (38%) cite “Evaluating Very Long-Term Conversational Memory of LLM Agents” (2024, arXiv 2402.17753). 90 new papers 17 Sep–7 Oct.
What’s new
17 Sep – 7 Oct 2026
90 new papers, 17 Sep – 7 Oct; 19 this week.
- This week · 19
- Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback also fits: Agent skill learning and evolution
- VideoEvolve: Co-Evolving Memory and Retrieval for Long Video Understanding
- HGP:An on-device personalized agent memory via hybrid graph storage
- Learning Situation-Conditioned Thinking Policies for Long-Term LLM Agents
- Relevance Is Not Sufficiency: What Actually Closes the Evidence Gap in Long-Term Memory QA
- Whose Memory Is It? Scope-Aware Commit Rules for Long-Term LLM Memory
- Towards In-Parameter Memory Augmentation for Large Language Models
- MINDSET: Energy-based Schema Evolution for Long Conversational Agent Memory
- How Much Evidence Should a Coding Agent's Self-Correction Carry? Adaptive Dirichlet Evidence for Self-Distillation also fits: Software engineering coding agents
- DSV-Mem: Evaluating Multimodal Memory in Professional Workflows for MLLM Agents also fits: Multimodal and embodied agents
All 90
- ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents also fits: Multimodal and embodied agents
- Persistent Memory in Multi-Agent LLM Inference: What It Costs, What It Buys, and When You Can Tell
- MemCo: Memory-Centric Collaboration for Generalizing LLM Agents to Unseen Environments
- Understanding and Mitigating Inference-Time Overreliance Using Agentic Memory
- AMBER: Training Long-Horizon Web Agents through Append-Only Memory
- MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents
- VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding
- Request Order Matters: Cache-History Sensitivity in Selective KV-Cache Reuse for Rolling Agents
- PACMI: Provenance-Aware Cascading Memory Invalidation for Long-Term LLM Agents
- Earlier · 71
- CASE: Cost-Aware Stopping for Efficient Long-Video Agents
- Look Before You Leap: Thermodynamic Arbitration of Parametric and Non-Parametric Knowledge in LLM Agents via Self-Regulating Memory Architectures
- AECG: Asymmetric Experience Consolidation and Governance In Multi-Agent Systems also fits: Reinforcement learning for LLM agents
- Memadapter: Counterfactual Adaptation Against Memory-induced Sycophancy
- Memory Canonicalization: A Framework and Benchmark for Cross-Model Drift in Persistent LLM Memory
- MemTrace: State-Consistent Memory for Long-Horizon Coding Agents
- Knowing the Store: What a Memory Backend Must Write Down Before an Agent Can Read It
- When Evidence Changes: Evaluating Memory Repair and Re-reading in Language-Model Agents also fits: Medical and scientific domain agents
- DyadMem: A Long-Term Memory Benchmark of How Agents Work with Users
- Continual Graph Memory for Mathematical Research Agents also fits: Educational agents and math problem solving
- Harnessing LLMs as Agents: What Does It Cost? also fits: General LLM agent frameworks and benchmarks
- APDMem: Agent-Controlled Progressive Disclosure for Query-Adaptive Long-Term Memory
- Trained Agentic Context Management also fits: General LLM agent frameworks and benchmarks
- SEDIMA: Cross-Run Hierarchical Insight Memory for Evolutionary Search Agents also fits: Web, search, and research agents
- Mem++: Non-Destructive Memory for Long-Term Organizational LLM Agents
- Beyond Memory: Harnessing Long-Horizon Agents with Explicit Belief States
- MemFit: Efficient Long-Term Agentic Memory
- TAGGRAPH: Tag-Augmented Graphs for Graph Retrieval of Agent Persistent Histories
- Persistent Context Graphs for Efficient Memory Compaction in LLM Agents
- SparseEngine: Sparse-First Inference Engine
- When Context Changes: Understanding Update Failures in LLMs
- Action Conditioned Bisimulation For GUI Agent Memory also fits: GUI and mobile agents
- Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning
- When Correct Memory Goes Wrong: Fuzzing Persistent Memory Use in LLM Agents
- FOCUS: Training-Free Decision-Preserving Context Compression for LLM Agents
- LatCom: Cross-Agent Latent Compression for Efficient Multi-Agent Collaboration also fits: General LLM agent frameworks and benchmarks
- UpliftMem: Learning Set-Level Uplift for Agent Memory Retrieval
- Simple Agentic Memory for Generalist Robot Policies
- Decision-Sufficient State Representations: Measuring and Reducing Write-Time Regret also fits: Reinforcement learning for LLM agents
- Memory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents
- Sprout: Building Dynamic Memory While Reasoning for Agentic Video Understanding
- EP-Mem: Elastic Privacy Memory for Social Relationship-Aware LLM Agents
- GenMem: Generative Symbolic Memory for Self-Evolving Harness
- FlowState: Execution State as Memory for Long-Horizon LLM Agents
- Remember Before You're Asked: MemDream for Self-Probing Memory Evolution
- Remember by Asking: Retrieval-Induced Memory Evolution for LLM Agents
- Just-In-Time Agent Memory with Runtime Agentic Research
- PersMem: Internalizing Personality into Dual-Pathway Memory for LLM Agents also fits: Social simulation and multi-agent debate
- When Does Selection Replace Extraction? A Pre-Registered Test of Agent Memory with a Typed Decision Model
- From Attack Success to Attack Severity: Counterfactual Memory Attacks on LLM Agents also fits: Agent threats, guardrails and governance
- Self-Designed Evaluators and Warm Memory for Long-Horizon Agents also fits: Software engineering coding agents
- ActiveMem: Dynamic Latent Memory Trees for Long-Horizon Agents
- Beyond Memory Construction: Rethinking Memory Access for LLM-based Conversational Agents
- The Epistemics of Agent Memory: Measuring, and Governing, the Consolidation Decision in Long-Horizon LLM Agents
- ARSM: Auto-Regressive State Machine for Agentic Reasoning Compression
- Contract Memory Compiler: Resolve, Then Traverse
- Beyond Dyadic Memory: Interaction-Aware Multimodal Memory with Adaptive Agentic Retrieval for Multi-Party Spoken Conversations
- MemAgent: Learning to Manage Heterogeneous Memory Providers for LLM Agents
- Learning from Others, Acting for You: Cross-User Memory Sharing for LLM Agents
- Shared Worlds, Private Minds: Structured Memory for Long-Form Writing as World Creation
- Black-Box Auditing of Epistemic Reliability in Multi-Agent Debate Distillation also fits: Social simulation and multi-agent debate
- Agentsensus: Consensus-Compressed Shared Memory for Multi-Agent Story Worlds
- LAM: Efficient Lossy Agent Memory Framework With A Retrieval-Score Error Bound
- EngramRAG: Dynamic Usage-Weighted Topology and Synaptic Consolidation for Multi-Hop Agentic Memory
- COUNTERMEM: World-Model Verified Counter-Factual Memory for Language Agents
- ActKV: Efficient LLM Agents through Action-Guided KV Cache Management
- HasMem: Hard-Origin Adaptively Softened Memory for Long-Term LLM Agents
- When Can Agents Forget Their Reasoning? ICLR for Long-Horizon Agent Context Compression
- Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents
- StateComp: Learning When to Compress History in Long Horizon Agents
- Memory Control Signals Emerge Before Action in Long Horizon Agents
- DRSR: Learning Set-Level Deletion Risk for Efficient Long-Horizon Agents
- MemCalib: Benchmarking and Optimizing Memory Use in LLM Agents
- Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
- When Successful Memories Mislead Embodied Agents:Memory Adaption For Task-Conditioned Execution
- Impact Is Not Invalidation: Ask About the Claim, Not the Diff also fits: Software engineering coding agents
- RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
- PSD: Pseudo Self-Distillation of Memory Representation Capabilities for LLM Agents
- An Interpretable Memory Decision Controller for LLM Agents Based on Three-Signal Complementarity: Decoupling Confidence and Consistency
- MACE: Memory-Agent Co-Evolution with Adaptive Memory Graphs for Multi-Agent Systems
- On-Demand Attention: Language Models Know When to Recall
Foundations
Most cited by papers here
- A-MEM: Agentic Memory for LLM Agents2025cited by 300 here
- Evaluating Very Long-Term Conversational Memory of LLM Agents2024cited by 276 here
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory2025cited by 210 here
- A Survey on the Memory Mechanism of Large Language Model based Agents2024cited by 151 here
- Zep: A Temporal Knowledge Graph Architecture for Agent Memory2025cited by 150 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 214 here
- 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 92 here
- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 42 here
- 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 42 here
- 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 46 here
- 2023A Survey on Large Language Model based Autonomous Agentscited by 71 here
- 2023Cognitive Architectures for Language Agentscited by 42 here
- 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineeringcited by 49 here
16 more it builds on, not in this chain
- 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 76 here
- 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 163 here
- 2023ExpeL: LLM Agents Are Experiential Learnerscited by 81 here
- 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contextscited by 60 here
- 2024Evaluating Very Long-Term Conversational Memory of LLM Agentscited by 276 here
- 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 151 here
- 2025Zep: A Temporal Knowledge Graph Architecture for Agent Memorycited by 150 here
- 2025A-MEM: Agentic Memory for LLM Agentscited by 300 here
- 2025Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memorycited by 210 here
- 2025Memory OS of AI Agentcited by 56 here
- 2025MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agentscited by 66 here
- 2025Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactionscited by 85 here
- 2025MIRIX: Multi-Agent Memory System for LLM-Based Agentscited by 67 here
- 2025Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learningcited by 73 here
- 2025Memory in the Age of AI Agentscited by 95 here
- 2026SimpleMem: Efficient Lifelong Memory for LLM Agentscited by 48 here
The 24 most cited of 1,604.
Browse
30 of 718, ranked 6–35
- 6Memory in the Age of AI Agents202595
- 7Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions202585
- 8Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning202573
- 9MIRIX: Multi-Agent Memory System for LLM-Based Agents202567
- 10MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents202566
- 11A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts202460
- 12Memory OS of AI Agent202556
- 13SimpleMem: Efficient Lifelong Memory for LLM Agents202648
- 14In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents202541
- 15Hello Again! LLM-powered Personalized Agent for Long-term Dialogue202439
All 30
- 16HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model202438
- 17G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems202537
- 18ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory202537
- 19How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior202532
- 20MemGen: Weaving Generative Latent Memory for Self-Evolving Agents202532
- 21MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks202630
- 22Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory202530
- 23MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents202529
- 24ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization202529
- 25AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents202429
- 26ACON: Optimizing Context Compression for Long-horizon LLM Agents202528
- 27MemInsight: Autonomous Memory Augmentation for LLM Agents202527
- 28Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents202626
- 29Scaling Long-Horizon LLM Agent via Context-Folding202525
- 30Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks202525
- 31General Agentic Memory Via Deep Research202525
- 32PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory202524
- 33Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers202623
- 34Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents202522
- 35What Deserves Memory: Adaptive Memory Distillation for LLM Agents202522