Article

AEVUM: An Agent-Native Persistent Memory Database System with Autonomous Data Management and Multi-Stage Compression

2026-02-23

Abstract excerpt

Modern AI agent systems increasingly operate on data infrastructure designed for human users: rigid relational schemas, manually authored queries, and external access-control layers that sit entirely outside the agent's reasoning loop. This architectural mismatch imposes three compounding overheads on agentic software: schema migrations for every evolving field, manual glue code to translate LLM-generated intents...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 926e1eea-5c8b-57d6-920f-dac33f3145c7
DOI: 10.22541/au.177187991.15165347/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

AEVUM: An Agent-Native Persistent Memory Database System with Autonomous Data Management and Multi-Stage CompressionDOI 10.22541/au.177187991.15165347/v1Read

Reverse Prompting: A Memory-Efficient Paradigm for LLM Agents Through Structural RegenerationSemantic proximity Read

From Data Quality to Quality of Agentic Data Use: A Conceptual Framework for Agentic Data EngineeringSemantic proximity Read

Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and ExtractionSemantic proximity Read

CARE: Controlled AI Reasoning for EnterprisesSemantic proximity Read

A Layered Guardrail Architecture for Agentic AI in Cloud-Native DevOps Pipelines: Design, Implementation, and Empirical Evaluation on Live AWS InfrastructureSemantic proximity Read

Benchmarking Large Language Models for Data Pipeline Code Generation and ExecutionSemantic proximity Read

Resource-Aware Memory Lifecycle Management for Long-Term RAG Inference with Compact Language ModelsSemantic proximity Read

Data-Oriented Design Integration Layer (DODIL): A Powerful Augmented Schema Framework for LLM-Powered SystemsSemantic proximity Read

An Integrated Observability Intelligence Framework: Bridging Semantic Data Modeling, Caching, and LLM-Powered Multi-Agent Root Cause AnalysisSemantic proximity Read

Mutation Testing of Task-Scoped State Oracles in Software-Agent Benchmarks: A Cross-Benchmark Empirical StudySemantic proximity Read

Multi-Agent Human-AI Systems with Low-Code Platforms Enabling Adaptive Web Services and Real-Time Anomaly Remediation in Distributed ArchitecturesSemantic proximity Read

Automatic Profiling and Natural Language Retrieval of Geospatial Vector Data with Sub-10B LLMs: A GeoChatbot Approach to Spatial AnalysisSemantic proximity Read