mlsanityData to 7 Oct 2026

Hippocampus: An Efficient and Scalable Memory Module for Agentic AI

arXiv 2602.13594 ↗First posted 14 Feb 2026cs.AIcited by 3

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

Abstract (arXiv)

Agentic AI require persistent memory to store user-specific histories beyond the limited context window of LLMs. Existing memory systems use dense vector databases or knowledge-graph traversal (or hybrid), incurring high retrieval latency and poor storage scalability. We introduce Hippocampus, an agentic memory management system that uses compact binary signatures for semantic search and lossless token-ID streams for exact content reconstruction. Its core is a Dynamic Wavelet Matrix (DWM) that compresses and co-indexes both streams to support ultra-fast search in the compressed domain, thus avoiding costly dense-vector or graph computations. This design scales linearly with memory size, making it suitable for long-horizon agentic deployments. Empirically, our evaluation shows that Hippocampus reduces end-to-end retrieval latency by up to 31× and cuts per-query token footprint by up to 14×, while maintaining accuracy on both LoCoMo and LongMemEval benchmarks.

Key facts. Cited by 3 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 41 of its 78 references that are in the map. First posted on arXiv 14 Feb 2026.

Builds on

41 of 78 references.

Closest ancestors · 6

Same direction, newest first

  1. 2025A-MEM: Agentic Memory for LLM Agents17 Feb
  2. 2025Zep: A Temporal Knowledge Graph Architecture for Agent Memory20 Jan
  3. 2024AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents5 Jul
  4. 2024Evaluating Very Long-Term Conversational Memory of LLM Agents27 Feb
  5. 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts15 Feb
  6. 2024RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents6 Feb

Other references · 35

  1. 2017Attention Is All You Needcited by 59,932
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  4. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  5. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,581
  6. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,383
  7. 2024A Survey on LLM-as-a-Judgecited by 1,384
  8. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,348
  9. 2024LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memorycited by 656
  10. 2021Editing Factual Knowledge in Language Modelscited by 548
  11. 2024The Faiss librarycited by 370
  12. 2025Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGcited by 242
23 more
  1. 2023AutoAgents: A Framework for Automatic Agent Generationcited by 211
  2. 2023Knowledge Editing for Large Language Models: A Surveycited by 189
  3. 2025MemOS: A Memory OS for AI Systemcited by 129
  4. 2025A Survey of Context Engineering for Large Language Modelscited by 120
  5. 2024AIOS: LLM Agent Operating Systemcited by 94
  6. 2019Macro F1 and Macro F1cited by 70
  7. 2024KnowAgent: Knowledge-Augmented Planning for LLM-Based Agentscited by 61
  8. 2024Learning to Edit: Aligning LLMs with Knowledge Editingcited by 43
  9. 2023Interactive Task Planning with Language Modelscited by 36
  10. 2024TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendationcited by 35
  11. 2024Interactive AI with Retrieval-Augmented Generation for Next Generation Networkingcited by 34
  12. 2024Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensemblingcited by 33
  13. 2021Conversational Question Answering: A Surveycited by 31
  14. 2024Toward a Theory of Tokenization in LLMscited by 28
  15. 2024DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generationcited by 26
  16. 2024Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generationcited by 23
  17. 2020Contextual Embeddings: When Are They Worth It?cited by 15
  18. 2018Natural Language Processing for Information Extractioncited by 14
  19. 2024MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Taskscited by 14
  20. 2025Enhancing LLM-Based Agents via Global Planning and Hierarchical Executioncited by 12
  21. 2023LLM Based Multi-Document Summarization Exploiting Main-Event Biased Monotone Submodular Content Extractioncited by 7
  22. 2016Buddy-RAM: Improving the Performance and Efficiency of Bulk Bitwise Operations Using DRAMcited by 6
  23. 2024Extending Context Window of Large Language Models from a Distributional Perspectivecited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitationscited by 20
  2. 2026DarkForest: Less Talk, Higher Accuracy for Multi-Agent LLMscited by 0
  3. 2026Facts Without Rules: Boundary Metadata Collapse in Multi-Agent LLM Handoffscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Contextual Agentic Memory is a Memo, Not True Memory
  2. 2026The AI Hippocampus: How Far are We From Human Memory?
  3. 2026Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
  4. 2026Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline
  5. 2026Just-In-Time Agent Memory with Runtime Agentic Research
  6. 2026Towards Autonomous Memory Agents
  7. 2026MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning
  8. 2026eMEM: A Hybrid Spatio-Temporal Memory System For Embodied Agents