Paul Bryant • 9/12/2026

AI Memory Architecture: Context, RAG, and Persistent State

This article examines AI memory architecture, distinguishing model parameters, request context, external records, and workflow state. It argues that larger context windows or vector databases don't ensure provenance, accuracy, or authorization. It proposes engineering patterns for write and read paths, preserving observations vs. hypotheses, and testing correction/revocation across summaries and caches, using an incident-triage scenario.

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#llm #ai #Rag