Towards Lifelong Dialogue Agents via Timeline-based Memory Management
On the map: LLM agents and tool use → Agent memory systems
Abstract (arXiv)
To achieve lifelong human-agent interaction, dialogue agents need to constantly memorize perceived information and properly retrieve it for response generation (RG). While prior studies focus on getting rid of outdated memories to improve retrieval quality, we argue that such memories provide rich, important contextual cues for RG (e.g., changes in user behaviors) in long-term conversations. We present THEANINE, a framework for LLM-based lifelong dialogue agents. THEANINE discards memory removal and manages large-scale memories by linking them based on their temporal and cause-effect relation. Enabled by this linking structure, THEANINE augments RG with memory timelines - series of memories representing the evolution or causality of relevant past events. Along with THEANINE, we introduce TeaFarm, a counterfactual-driven evaluation scheme, addressing the limitation of G-Eval and human efforts when assessing agent performance in integrating past memories into RG. A supplementary video for THEANINE and data for TeaFarm are at https://huggingface.co/spaces/ResearcherScholar/Theanine.
Key facts. Cited by 50 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 24 of its 39 references that are in the map. First posted on arXiv 16 Jun 2024.
Builds on
24 of 39 references.
Closest ancestors · 2
Same direction, newest first
- 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialogue9 Jun
- 2024Evaluating Very Long-Term Conversational Memory of LLM Agents27 Feb
Other references · 22
- 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
- 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,383
- 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,317
- 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,205
- 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
- 2020Towards a Human-like Open-Domain Chatbotcited by 467
- 2021MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontierscited by 466
- 2024Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Modelscited by 431
- 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 266
- 2020COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphscited by 254
- 2024From Persona to Personalization: A Survey on Role-Playing Language Agentscited by 206
- 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 203
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- 2022Long Time No See! Open-Domain Conversation with Long-Term Persona Memorycited by 107
- 2023MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversationcited by 94
- 2022Keep Me Updated! Memory Management in Long-term Conversationscited by 62
- 2023Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversationscited by 47
- 2023Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agentscited by 41
- 2024Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversationscited by 36
- 2023Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationalescited by 33
- 2024Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinementcited by 14
- 2023Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?cited by 6
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Citing papers per year: 2024: 2; 2025: 7; 2026: 41.
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- 2026ROAM: Robust Organization of Atomic Memories for Agents through Semantic Relations9 Sep 2026
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- 2026When Personal Memory Has No Single Answer: Evaluating LLM Agents under Irreducible Conflict14 Aug 2026
- 2026PGMem: Tightly Coupled Persona-Memory Graph for Lifelong Personalized Agents3 Aug 2026
- 2026TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents2 Aug 2026
- 2026G-Long: Graph-Enhanced Memory Management for Efficient Long-Term Dialogue Agents11 Jun 2026
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12 newest of 20 All 20 (JSON)
- 2025Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialoguecited by 17
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- 2026Does Memory Need Graphs? A Unified Framework and Empirical Analysis for Long-Term Dialog Memorycited by 9
- 2026FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learningcited by 7
- 2026ES-Mem: Event Segmentation-Based Memory for Long-Term Dialogue Agentscited by 4
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- 2026HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialoguescited by 2
- 2026Towards Direct Evaluation of Harness Optimizers via Priority Rankingcited by 2
- 2026Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memorycited by 2
- 2026MemRerank: Preference Memory for Personalized Product Rerankingcited by 1
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- 2026EMIR2: Evolution-Aware Memory with Intent-Guided Multi-Round Retrieval26 Sep 2026
- 2026Memory Has Geometry: Non-Uniform Geometric Memory for Long-Horizon Personalized AI16 Sep 2026
- 2026Interactive Memory Learning for Long-Term Conversations15 Sep 2026
- 2026ThinkFlow: Self-Evolving Probabilistic Latent Memory for Lifelong Conversational Agents15 Sep 2026
- 2026Toward Robust Personalized Alignment for LLMs: Mitigating Persona Drift in Multi-Turn Dialogue11 Sep 2026
- 2026RuleMem: Active Rule Memory for Long-Term Conversational Agents3 Sep 2026
- 2026FinLifeBench: Exhaustive Life-Event History and Financial-State Reconstruction from Longitudinal Banking Dialogue1 Sep 2026
- 2026MemUse: Moving Memory Evaluation from Direct QA to Natural Integration in Long-Term Human-AI Conversation25 Aug 2026
- 2026Don't Scroll Back: Missing-Evidence Memory for Streaming Dialogue Summarization10 Aug 2026
- 2026Enhancing Software Engineering Through Closed-Loop Memory Optimization4 Jun 2026
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