Paul Bryant • 7/14/2026

Agent Memory Is Architecture, Not a Feature

This article argues that agent memory in enterprise AI systems is an architecture problem, not a feature. It contrasts stateless and stateful agents, highlighting operational responsibilities like privacy, compliance, retrieval quality, and cost control. The author proposes a memory boundary pattern where a memory broker sits between the model and persistent storage, governing retention, authorization, classification, and auditability. Working memory is distinguished from durable memory, and practical design questions are provided for building trustworthy, governable memory systems in production.

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#Enterprise Architecture #Agent Memory #Stateful Agents