Cover Image

Decentralizing AI Memory: SHIMI, a Semantic Hierarchical Memory Index for Scalable Agent Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Helmi, Tooraj
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Response Consistency in Multi-Agent LLM Systems: A Comparative Analysis of Shared and Separate Context Approaches
by: Helmi, Tooraj
Published: (2025)

Hierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems
by: Nalagatla, Goutham
Published: (2025)

Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
by: Xu, Hongwei
Published: (2026)

Memory Intelligence Agent
by: Qiao, Jingyang, et al.
Published: (2026)

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
by: Bai, Zishan, et al.
Published: (2025)

AI Agent Systems for Supply Chains: Structured Decision Prompts and Memory Retrieval
by: Yoshizato, Konosuke, et al.
Published: (2026)

MediHive: A Decentralized Agent Collective for Medical Reasoning
by: Wang, Xiaoyang, et al.
Published: (2026)

Hierarchical Adaptive Consensus Network: A Dynamic Framework for Scalable Consensus in Collaborative Multi-Agent AI Systems
by: Shit, Rathin Chandra, et al.
Published: (2025)

LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning
by: Yang, Hanqing, et al.
Published: (2025)

Memory-Augmented Reinforcement Learning Agent for CAD Generation
by: Xiaolong, Yin, et al.
Published: (2026)

Memory as Ontology: A Constitutional Memory Architecture for Persistent Digital Citizens
by: Li, Zhenghui
Published: (2026)

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
by: Wu, Shanglin, et al.
Published: (2026)

PBFT-Backed Semantic Voting for Multi-Agent Memory Pruning
by: Bach, Duong
Published: (2025)

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning
by: Li, Wenjin, et al.
Published: (2026)

Toward Data Systems That Are Business Semantic Centric and AI Agents Assisted
by: Pang, Cecil
Published: (2025)

HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution
by: Tang, Jinzhou, et al.
Published: (2025)

Adaptive Memory Admission Control for LLM Agents
by: Zhang, Guilin, et al.
Published: (2026)

GAAMA: Graph Augmented Associative Memory for Agents
by: Paul, Swarna Kamal, et al.
Published: (2026)

Hierarchical Pedagogical Oversight: A Multi-Agent Adversarial Framework for Reliable AI Tutoring
by: Sadhu, Saisab, et al.
Published: (2025)

United We Stand: Decentralized Multi-Agent Planning With Attrition
by: Nguyen, Nhat, et al.
Published: (2024)

ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration
by: Zhao, Rongfeng, et al.
Published: (2026)

Verifiable Semantics for Agent-to-Agent Communication
by: Schoenegger, Philipp, et al.
Published: (2026)

VICoT-Agent: A Vision-Interleaved Chain-of-Thought Framework for Interpretable Multimodal Reasoning and Scalable Remote Sensing Analysis
by: Wang, Chujie, et al.
Published: (2025)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

Governed Memory: A Production Architecture for Multi-Agent Workflows
by: Taheri, Hamed
Published: (2026)

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)

Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning (Extended Version)
by: Nguyen, Nhat D. A., et al.
Published: (2026)

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs
by: Estornell, Andrew, et al.
Published: (2025)

Learning to Share: Selective Memory for Efficient Parallel Agentic Systems
by: Fioresi, Joseph, et al.
Published: (2026)

LOKA Protocol: A Decentralized Framework for Trustworthy and Ethical AI Agent Ecosystems
by: Ranjan, Rajesh, et al.
Published: (2025)

MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing
by: Chen, Han, et al.
Published: (2026)

EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory
by: Fan, Wenzhe, et al.
Published: (2025)

Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
by: Zhang, Xing, et al.
Published: (2026)

Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead
by: Yu, Zhongming, et al.
Published: (2026)

HAWK: A Hierarchical Workflow Framework for Multi-Agent Collaboration
by: Cheng, Yuyang, et al.
Published: (2025)

SymboSLAM: Semantic Map Generation in a Multi-Agent System
by: Colelough, Brandon Curtis
Published: (2024)

Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence
by: Wang, Ji, et al.
Published: (2025)

SemanticALLI: Caching Reasoning, Not Just Responses, in Agentic Systems
by: Chillara, Varun, et al.
Published: (2026)

Usable Agent Discovery for Decentralized AI Systems
by: Dazzi, Patrizio, et al.
Published: (2026)

Memp: Exploring Agent Procedural Memory
by: Fang, Runnan, et al.
Published: (2025)