Beyond Memory Construction: Rethinking Memory Access for LLM-based Conversational Agents
cs.CL
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/Donghua-Cai/Threader
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- State of AI: An Empirical 100 Trillion Token Study with OpenRouter
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- LightMem: Lightweight and Efficient Memory-Augmented Generation
- Retrieval-Augmented Generation for Large Language Models: A Survey
- From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
- EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
- Memory in the Age of AI Agents
- Unsupervised Dense Information Retrieval with Contrastive Learning
- Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
- MemOS: A Memory OS for AI System
- RoBERTa: A Robustly Optimized BERT Pretraining Approach
- Fast Model Editing at Scale
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
- MemGPT: Towards LLMs as Operating Systems
- On Memory Construction and Retrieval for Personalized Conversational Agents
- Zep: A Temporal Knowledge Graph Architecture for Agent Memory
- Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
- Scaling Long-Horizon LLM Agent via Context-Folding
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- MEMORYLLM: Towards Self-Updatable Large Language Models
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering