ended5월 19일· 1 sources

Solving the AI Agent Memory Crisis with Zero-Latency C# Architecture

AI 에이전트 메모리 위기 극복: C# 저장 엔진의 초고속 컨텍스트 통합

Why it matters

AI agents waste 80% of their token budget assembling fragmented data from multiple sources, causing latency and hallucinations. This architecture consolidates tabular, vector, relational, and hierarchical data layers into a single, in-memory semantic orchestration engine that compiles complete context in under 20 milliseconds.

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AI Agent MemoryGlacier.BundleC# Storage EngineVector DatabaseSemantic OrchestrationKnowledge Graph

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