Long-Term Conversational Memory

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Long-term conversational memory studies how AI assistants can carry forward useful facts, preferences, events, and user states across extended interactions. Systems variously preserve raw dialogue or compress it into facts, summaries, timelines, or graphs, then use lexical and semantic search, structured traversal, and query-guided reasoning to retrieve evidence. Benchmarks such as LoCoMo and LongMemEval test factual recall, temporal updates, and multi-hop reasoning, while newer evaluations probe realistic interaction, personalization, and memory use. A central tension is balancing accurate, traceable evidence and reliable updates with bounded storage, retrieval cost, privacy, and resistance to stale or misleading memories.

Latest papers

269 papers53 papers in the last four weeks, up 39% on the four weeks before. 0.3% of all new papers.

DeltaMem: Towards Agentic Memory Management via Reinforcement Learning
Apr 2, 2026Qi Zhang, Shen Huang, Chu Liu +4Agent Memory Management Agent Memory
Alibaba Tongyi Lab, Hangzhou, China · Zhejiang University, Hangzhou, China
Multi-Layered Memory Architectures for LLM Agents: An Experimental Evaluation of Long-Term Context Retention
Mar 31, 2026Sunil Tiwari, Payal FofadiyaPersistent Memory for Language Models Long-Term Conversational Memory
Fulloop
Human-Like Lifelong Memory: A Neuroscience-Grounded Architecture for Infinite Interaction
Mar 30, 2026Diego C. Lerma-TorresPersistent Memory for Language Models Long-Term Conversational Memory
Universidad de Guanajuato
GAAMA: Graph Augmented Associative Memory for Agents
Mar 29, 2026Swarna Kamal Paul, Shubhendu Sharma, Nitin SareenGraph-Based Agent Memory Long-Term Conversational Memory
Nagarro
Cognis: Context-Aware Memory for Conversational AI Agents
Mar 27, 2026Parshva Daftari, Khush Patel, Shreyas Kapale +2Agent Memory Management Memory-Augmented Language Model Agents
Lyzr Research
PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
Mar 24, 2026Shuochen Liu, Junyi Zhu, Long Shu +11Memory Agent Benchmarks Long-Term Conversational Memory
University of Science and Technology of China · ESAT-PSI, KU Leuven · City University of Hong Kong +2
PersonaVLM: Long-Term Personalized Multimodal LLMs
Mar 20, 2026Chang Nie, Chaoyou Fu, Yifan Zhang +2Personalized Language Models Multimodal Agents
Nanjing University · ByteDance
Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents
Mar 20, 2026Luiz C. Borro, Luiz A. B. Macarini, Gordon Tindall +2Persistent Memory for Language Models LLM Memory
Memori Labs Inc.
All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolution
Mar 20, 2026Can Lv, Heng Chang, Shengyu Tao +5Agent Memory Management Long-Term Conversational Memory
Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing · Beihang University · Tsinghua University +1
D-Mem: A Dual-Process Memory System for LLM Agents
Mar 19, 2026Zhixing You, Jiachen Yuan, Jason CaiAgent Memory Management Memory-Augmented Language Model Agents
Einstein Institute of Mathematics The Hebrew University of Jerusalem, Israel · Independent Researcher · AWS AI
Chronos: Temporal-Aware Conversational Agents with Structured Event Retrieval for Long-Term Memory
Mar 17, 2026Sahil Sen, Elias Lumer, Anmol Gulati +1Long-Term Conversational Memory Conversational Memory
Commercial Technology and Innovation Office, PricewaterhouseCoopers, U.S.
AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agents
Mar 17, 2026Shannan Yan, Jingchen Ni, Leqi Zheng +6LLM Agent Memory Long-Term Conversational Memory
Tsinghua University · WeChat Vision, Tencent Inc.
MemX: A Local-First Long-Term Memory System for AI Assistants
Mar 17, 2026Lizheng SunPersistent Memory for Language Models Long-Term Conversational Memory
SmartSearch: How Ranking Beats Structure for Conversational Memory Retrieval
Mar 16, 2026Jesper Derehag, Carlos Calva, Timmy GhiurauConversational Memory Long-Term Conversational Memory
Midbrain.
Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation
Mar 13, 2026Sydney LewisLLM Agent Memory Context Distillation
TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QA
Mar 10, 2026Mengwei Yuan, Jianan Liu, Jing Yang +4Long-Term Conversational Memory LLM Tool Use
Independent Researcher Milpitas, USA, 95035 · Independent Researcher Austin, USA, 78613 · Washington University in St. Louis St. Louis, USA, 63130 +2
Proactive Memory for Ad-Hoc Recall over Streaming Dialogues
Mar 5, 2026Bingbing Wang, Jing Li, Ruifeng XuLong-Term Conversational Memory Persistent Memory for Language Models
Department of Computing The Hong Kong Polytechnic University · The School of Computer Science and Technology Harbin Institute of Technology (Shenzhen)
Beyond the Context Window: A Cost-Performance Analysis of Fact-Based Memory vs. Long-Context LLMs for Persistent Agents
Mar 5, 2026Natchanon Pollertlam, Witchayut KornsuwannawitPersistent Memory for Language Models Long-Term Conversational Memory
Bricks Technology
AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
Mar 2, 2026Cheng Jiayang, Dongyu Ru, Lin Qiu +4Agent Memory Management Memory Agent Benchmarks
The Hong Kong University of Science and Technology · Meituan
Semantic XPath: Structured Agentic Memory Access for Conversational AI
Mar 1, 2026Yifan Simon Liu, Ruifan Wu, Liam Gallagher +3Conversational Memory Long-Term Conversational Memory
University of Toronto, Canada · Vector Institute of Artificial Intelligence, Toronto, Canada
From Lossy to Verified: A Provenance-Aware Tiered Memory for Agents
Feb 20, 2026Qiming Zhu, Shunian Chen, Rui Yu +2Agent Memory Agent Memory Management
School of Data Science, The Chinese University of Hong Kong, Shenzhen.
Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory
Feb 17, 2026Zihao Tang, Xin Yu, Ziyu Xiao +9LLM Memory Long-Term Conversational Memory
Microsoft
Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
Feb 3, 2026Menglin Xia, Xuchao Zhang, Shantanu Dixit +6Agent Memory Retrieval-Augmented Generation
M365 Research, Microsoft.
AMA: Adaptive Memory via Multi-Agent Collaboration
Jan 28, 2026Weiquan Huang, Zixuan Wang, Hehai Lin +6Long-Term Conversational Memory Multi-Agent LLMs
The Hong Kong University of Science and Technology (Guangzhou) · Shandong University · Nanyang Technological University +1
MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards
Jan 9, 2026Zhiyu Shen, Ziming Wu, Fuming Lai +2Reinforcement Learning Memory-Augmented Language Models
School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China · Tencent Inc.
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction
Jan 8, 2026Muzhao Tian, Zisu Huang, Xiaohua Wang +8Long-Term Conversational Memory Conversational Agents
College of Computer Science and Artificial Intelligence, Fudan University Shanghai Key Laboratory of Intelligent Information Processing
Beyond Static Summarization: Proactive Memory Extraction for LLM Agents
Jan 8, 2026Chengyuan Yang, Zequn Sun, Wei Wei +1LLM Agent Memory Persistent Memory for Language Models
State Key Laboratory for Novel Software Technology, Nanjing University, China · National Institute of Healthcare Data Science, Nanjing University, China
Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents
Jan 7, 2026Dehao Tao, Guoliang Ma, Yongfeng Huang +1LLM Memory Long-Term Conversational Memory
Tsinghua University · Xinjiang University
Attention is All You Need Until You Need Retention
Jan 15, 2025M. Murat YasliogluMemory-Augmented Language Models Agent Memory Poisoning
Istanbul University, School of Business

Apr 2, 2026J/K move · Enter open · S save

DeltaMem: Towards Agentic Memory Management via Reinforcement Learning

Qi Zhang, Shen Huang, Chu Liu, Shouqing Yang+3

Alibaba Tongyi Lab, Hangzhou, China · Zhejiang University, Hangzhou, China

Agent Memory Management Agent Memory Long-Term Conversational Memory RL for LLM Agents Reinforcement Learning

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Recent advances in persona-centric memory have revealed the powerful capability of multi-agent systems in managing persona memory, especially in conversational scenarios. However, these complex frameworks often suffer from information loss and are fragile across varying scenarios, resulting in suboptimal performance. In this paper, we propose DeltaMem, an agentic memory management system that formulates persona-centric memory management as an end-to-end task within a single-agent setting. To further improve the performance of our agentic memory manager, we draw inspiration from the evolution of human memory and synthesize a user-assistant dialogue dataset along with corresponding operation-level memory updating labels. Building on this, we introduce a novel Memory-based Levenshtein Distance to formalize the memory updating reward, and propose a tailored reinforcement learning framework to further enhance the management capabilities of DeltaMem. Extensive experiments show that both training-free and RL-trained DeltaMem outperform all product-level baselines across diverse long-term memory benchmarks, including LoCoMo, HaluMem, and PersonaMem.