mlsanityData to 14 Oct 2026

MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents

arXiv 2605.01386 ↗First posted 2 May 2026cs.CLcited by 8

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

Abstract (arXiv)

Large Language Models (LLMs) lack persistent memory for long-term personalized conversations. Existing graph-based memory systems suffer from information dilution, absent provenance tracking, and uniform retrieval that ignores query context. We introduce MemORAI (Memory Organization and Retrieval via Adaptive Graph Intelligence), a framework that integrates three innovations: selective memory filtering with dual-layer compression to retain user-persona-relevant content, a provenance-enriched multi-relational graph tracking factual origins at the turn level, and query-adaptive subgraph retrieval with Dynamic Weighted PageRank that applies query-conditioned edge weighting. Evaluated on LOCOMO and LongMemEval benchmarks, MemORAI achieves state-of-the-art performance in memory retrieval and personalized response generation, demonstrating that selective storage, enriched representation, and adaptive retrieval are essential for coherent, personalized LLM agents.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Placed in Agent memory systems, one of 16 directions in LLM agents and tool use. Builds on 17 of its 27 references that are in the map. First posted on arXiv 2 May 2026.

Builds on

17 of 27 references.

Closest ancestors · 2

Same direction, newest first

  1. 2025A-MEM: Agentic Memory for LLM Agents17 Feb
  2. 2024Evaluating Very Long-Term Conversational Memory of LLM Agents27 Feb

Other references · 15

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,455
  3. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,242
  4. 2021Unsupervised Dense Information Retrieval with Contrastive Learningcited by 1,216
  5. 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 981
  6. 2024LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memorycited by 707
  7. 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrievalcited by 532
  8. 2025From RAG to Memory: Non-Parametric Continual Learning for Large Language Modelscited by 231
  9. 2025Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systemscited by 126
  10. 2025On Memory Construction and Retrieval for Personalized Conversational Agentscited by 105
  11. 2024From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMscited by 79
  12. 2023Prompted LLMs as Chatbot Modules for Long Open-domain Conversationcited by 61
3 more
  1. 2023Personalized Large Language Model Assistant with Evolving Conditional Memorycited by 25
  2. 2026DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillationcited by 5
  3. 2025Memory Is All You Need: Testing How Model Memory Affects LLM Performance in Annotation Taskscited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 8.

8 papers.

  1. 2026Memory Provenance Laundering in LLM Agents: A Non-Amplification Firewall for Persistent Memorycited by 4
  2. 2026Self-Evolving Agents as Dynamic Graph Transformation: A Survey and New Perspectivecited by 4
  3. 2026AdaMem: Learning What to Remember with Adaptive Memory Policies for Personalized Agentscited by 2
  4. 2026Private Etymology: Designing Relational Reuse of Shared Symbols in Long-Term Human-AI Interactioncited by 1
  5. 2026CABLE: Extending the Reach of Memory Retrieval via Complementary Antecedent-Based Linking and Expansioncited by 1
  6. 2026JustMem: Just-Enough Memory Access for Long-Term Conversationscited by 1
  7. 2026Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluationcited by 0
  8. 2026HyperProve: Answer-Guided Hypergraph Expansion for Multi-Hop Question Answeringcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026TAGGRAPH: Tag-Augmented Graphs for Graph Retrieval of Agent Persistent Histories
  2. 2025PersonalAI: A Systematic Comparison of Knowledge Graph Storage and Retrieval Approaches for Personalized LLM agents
  3. 2026Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agents
  4. 2026Mandol: An Agglomerative Agent Memory System for Long-Term Conversations
  5. 2026SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory
  6. 2026EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor Hypergraph
  7. 2026G-Long: Graph-Enhanced Memory Management for Efficient Long-Term Dialogue Agents
  8. 2025From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents