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.

Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture
Apr 29, 2026Samuel L Pugh, Eric Yang, Alexander Muir Sutherland +1Long-Term Conversational Memory Agent Memory Management
Verily Health Inc.
ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
Apr 26, 2026Alexander BeringMemorization in Language Models Neural Processes
Zensation AI
Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents
Apr 23, 2026Seyed Moein Abtahi, Rasa Rahnema, Hetkumar Patel +3Agent Memory Information Retrieval
Moorcheh AI EdgeAI Innovations
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
Apr 23, 2026Buqiang Xu, Yijun Chen, Jizhan Fang +5Multi-Hop QA Temporal Reasoning
Zhejiang University · Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph · Ant Group
Spatial Metaphors for LLM Memory: A Critical Analysis of the MemPalace Architecture
Apr 23, 2026Robin Dey, Panyanon ViradechaPersistent Memory for Language Models LLM Memory
OpenHub Research Chiang Mai, Thailand
EngramaBench: Evaluating Long-Term Conversational Memory with Structured Graph Retrieval
Apr 23, 2026Julian AcunaLLM Evaluation Memorization in Language Models
SCM: Sleep-Consolidated Memory with Algorithmic Forgetting for Large Language Models
Apr 22, 2026Saish Sachin ShindeMemory-Augmented Language Models Memorization in Language Models
Clyrai IP Studio
To Know is to Construct: Schema-Constrained Generation for Agent Memory
Apr 22, 2026Lei Zheng, Weinan Song, Daili Li +1Schema-Constrained Generation Long-Term Conversational Memory
UnionPay
From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
Apr 21, 2026Md Nayem Uddin, Kumar Shubham, Eduardo Blanco +2Long-Horizon Agent Evaluation AI Agent Benchmarks
Arizona State University · Genies · University of Arizona
WorldDB: A Vector Graph-of-Worlds Memory Engine with Ontology-Aware Write-Time Reconciliation
Apr 20, 2026Harish Santhanalakshmi GanesanTemporal KGs Persistent Memory for Language Models
Independent Researcher
HiGMem: A Hierarchical and LLM-Guided Memory System for Long-Term Conversational Agents
Apr 20, 2026Shuqi Cao, Jingyi He, Fei TanPersistent Memory for Language Models Hierarchical Memory
East China Normal University, Shanghai, China · Shanghai Jiao Tong University, Shanghai, China
AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models
Apr 19, 2026Zhanyu Shen, Sijie Cheng, Zhicheng Guo +3Memory-Augmented Language Models Memorization in Language Models
College of Computer Science and Software Engineering, Shenzhen University · Tsinghua University
The Continuity Layer: Why Intelligence Needs an Architecture for What It Carries Forward
Apr 19, 2026Samuel Sameer TanguturiMemory-Augmented Language Models Persistent Memory for Language Models
Kenotic Labs
LANTERN: Layered Archival and Temporal Episodic Retrieval Network for Long-Context LLM Conversations
Apr 18, 2026Rahul SubramaniMemory-Augmented Language Models Persistent Memory for Language Models
Cisco Systems, Inc.
HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents
Apr 18, 2026Jinchang Zhu, Jindong Li, Cheng Zhang +2Memorization in Language Models Hebbian Learning
The Hong Kong University of Science and Technology (Guangzhou) · Jilin University · The Chinese University of Hong Kong
APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI
Apr 15, 2026Pratyay Banerjee, Masud Moshtaghi, Shivashankar Subramanian +2Long-Term Conversational Memory Graph-Based Agent Memory
Amazon, AGI, Sunnyvale, USA
Drawing on Memory: Dual-Trace Encoding Improves Cross-Session Recall in LLM Agents
Apr 14, 2026Benjamin Stern, Peter NadelLLM Agent Memory Long-Term Conversational Memory
Tufts University
Cooperative Memory Paging with Keyword Bookmarks for Long-Horizon LLM Conversations
Apr 14, 2026Ziyang LiuLLM Context Management Long-Term Conversational Memory
Independent Researcher
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
Apr 14, 2026Zhaofen Wu, Hanrong Zhang, Fulin Lin +9Agent Memory Management Graph-Based Agent Memory
Zhejiang University · University of Illinois Chicago · Rutgers University +2
AgenticAI-DialogGen: Topic-Guided Conversation Generation for Fine-Tuning and Evaluating Short- and Long-Term Memories of LLMs
Apr 14, 2026Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake +1Long-Term Conversational Memory Synthetic Data Generation for Language Models
School of Computing, Macquarie University, Sydney, NSW 2109, Australia
Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation
Apr 13, 2026Yuqian Wu, Wei Chen, Zhengjun Huang +5Conversational Memory Long-Term Conversational Memory
The Hong Kong University of Science and Technology (Guangzhou) · The Hong Kong University of Science and Technology · National University of Singapore
Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo
Apr 13, 2026Artem Gadzhiev, Andrew KislovLLM Memory Long-Term Conversational Memory
S3Mem: Structured Spatiotemporal Scene-Event Memory for Long-Horizon Interactive Question Answering
Apr 10, 2026Encheng Su, Jianyu Wu, Jinouwen Zhang +9Long-Term Conversational Memory Temporal QA
University of Science and Technology of China · Shanghai Jiao Tong University · Shanghai AI Laboratory +5
HyperMem: Hypergraph Memory for Long-Term Conversations
Apr 9, 2026Juwei Yue, Chuanrui Hu, Jiawei Sheng +5Long-Term Conversational Memory Graph-Based Agent Memory
Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences · EverMind AI
Lightweight LLM Agent Memory with Small Language Models
Apr 9, 2026Jiaquan Zhang, Chaoning Zhang, Shuxu Chen +9Memory Management for LLM Agents Persistent Memory for Language Models
University of Electronic Science and Technology of China · Kyung Hee University · City University of Hong Kong +1
A-MBER: Affective Memory Benchmark for Emotion Recognition
Apr 8, 2026Deliang Wen, Ke Sun, Yu WangEmotion Recognition in Conversations Emotion Recognition
HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues
Apr 8, 2026Yijie Zhong, Yunfan Gao, Haofen WangLong-Term Conversational Memory Adaptive Retrieval
College of Design and Innovation, Tongji University, Shanghai, China · Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China
MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents
Apr 6, 2026Shu Wang, Edwin Yu, Oscar Love +4LLM Agent Memory Memory Management for LLM Agents
MemVerge, Inc.
Novel Memory Forgetting Techniques for Autonomous AI Agents: Balancing Relevance and Efficiency
Apr 2, 2026Payal Fofadiya, Sunil TiwariAgent Memory Management Long-Term Conversational Memory
Fulloop
Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework
Apr 2, 2026Yanchen Wu, Tenghui Lin, Yingli Zhou +7LLM Agent Memory Agent Memory Management
CUHK-Shenzhen · CUHK · HITSZ +2

Apr 29, 2026J/K move · Enter open · S save

Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture

Samuel L Pugh, Eric Yang, Alexander Muir Sutherland, Alessandra Breschi

Verily Health Inc.

Long-Term Conversational Memory Agent Memory Management Memory-Augmented Language Model Agents

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As Large Language Model (LLM) agents transition from single-session tools to persistent systems managing longitudinal healthcare journeys, their memory architectures face a critical challenge: reconciling two imperfect sources of truth. The patient's evolving self-report is current but prone to recall bias, while the Electronic Health Record (EHR) is medically validated but frequently stale. General-purpose agent memory systems optimize for coherence by overwriting older facts with the user's latest statement, a pattern that risks safety failures when applied to clinical data. We introduce a Dual-Stream Memory Architecture that strictly separates the patient narrative from the structured clinical record (FHIR), governed by a dedicated Reconciliation Engine that evaluates every extracted memory against the patient's FHIR profile and classifies discrepancies by type, severity, and the specific FHIR resources involved. We evaluate this architecture on 26 patients across 675 longitudinal wellness coaching sessions, using a hybrid dataset that interleaves real provider-patient transcripts with synthetic, FHIR-grounded clinical scenarios. In isolated testing, the engine detects 84.4% of designed clinical discrepancies with 86.7% safety-critical recall. By coupling extraction and reconciliation evaluation on the same data, we directly quantify a 13.6% error cascade, tracing the degradation to clinical details lost during memory extraction from unstructured conversation rather than to downstream classification errors. These findings establish that validating patient-reported memories against clinical records is both feasible and necessary for safe deployment of longitudinal health agents.