mlsanityData to 7 Oct 2026

"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents

arXiv 2404.00573 ↗First posted 31 Mar 2024cs.HCcited by 29

On the map: LLM agents and tool use → Agent memory systems

Abstract (arXiv)

In this study, we propose a novel human-like memory architecture designed for enhancing the cognitive abilities of large language model based dialogue agents. Our proposed architecture enables agents to autonomously recall memories necessary for response generation, effectively addressing a limitation in the temporal cognition of LLMs. We adopt the human memory cue recall as a trigger for accurate and efficient memory recall. Moreover, we developed a mathematical model that dynamically quantifies memory consolidation, considering factors such as contextual relevance, elapsed time, and recall frequency. The agent stores memories retrieved from the user's interaction history in a database that encapsulates each memory's content and temporal context. Thus, this strategic storage allows agents to recall specific memories and understand their significance to the user in a temporal context, similar to how humans recognize and recall past experiences.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). Placed in Agent memory systems, one of 16 directions in LLM agents and tool use. Builds on 5 of its 32 references that are in the map. First posted on arXiv 31 Mar 2024.

Builds on

5 of 32 references.

References · 5

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  2. 2020Transformer Feed-Forward Layers Are Key-Value Memoriescited by 1,307
  3. 2019How to Fine-Tune BERT for Text Classification?cited by 409
  4. 2022A Machine With Human-Like Memory Systemscited by 3
  5. 2023Performance Comparison of Large Language Models on VNHSGE English Dataset: OpenAI ChatGPT, Microsoft Bing Chat, and Google Bardcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 7; 2025: 15; 2026: 7.

29 papers.

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  1. 2024AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathwayscited by 122
  2. 2025How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behaviorcited by 95
  3. 2025Memp: Exploring Agent Procedural Memorycited by 88
  4. 2025MemInsight: Autonomous Memory Augmentation for LLM Agentscited by 84
  5. 2025AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injectioncited by 39
  6. 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacycited by 36
  7. 2024A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directionscited by 34
  8. 2026Graph-based Agent Memory: Taxonomy, Techniques, and Applicationscited by 22
  9. 2024MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generationcited by 15
  10. 2024ELLMA-T: an Embodied LLM-agent for Supporting English Language Learning in Social VRcited by 8
  11. 2024SynapticRAG: Enhancing Temporal Memory Retrieval in Large Language Models through Synaptic Mechanismscited by 5
  12. 2025Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmapcited by 5
17 more
  1. 2024Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Taskscited by 4
  2. 2025UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spacescited by 4
  3. 2025Towards Pervasive Distributed Agentic Generative AI -- A State of The Artcited by 4
  4. 2025Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scalecited by 3
  5. 2025MARK: Memory Augmented Refinement of Knowledgecited by 3
  6. 2025Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graphcited by 3
  7. 2025Evolution in Simulation: AI-Agent School with Dual Memory for High-Fidelity Educational Dynamicscited by 3
  8. 2026Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interactioncited by 3
  9. 2025ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Ownerscited by 2
  10. 2025Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulationscited by 2
  11. 2025Beyond Training: Enabling Self-Evolution of Agents with MOBIMEMcited by 2
  12. 2026AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversationscited by 2
  13. 2026MineNPC-Task: Task Suite for Memory-Aware Minecraft Agentscited by 1
  14. 2026C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Drivingcited by 1
  15. 2026ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent Memorycited by 1
  16. 2025SNAP: A Plan-Driven Framework for Controllable Interactive Narrative Generationcited by 0
  17. 2026MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialoguecited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents
  2. 2025In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
  3. 2024Towards Lifelong Dialogue Agents via Timeline-based Memory Management
  4. 2025Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics
  5. 2026Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework
  6. 2026Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers
  7. 2026AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agents
  8. 2026Multi-Layered Memory Architectures for LLM Agents: An Experimental Evaluation of Long-Term Context Retention