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Agent Memory Is Architecture, Not a Feature

Introduction Enterprise AI teams eventually reach the same uncomfortable question: what should the agent remember? That question sounds simple until it touches real systems. A support agent may need to remember a customer preference, a recent escalation, a policy exception, and the current conversation state. A platform engineering agent may need to remember approved deployment

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Agentic Data Systems: Why AI Agents Need More Than a Vector Database

Enterprise AI teams are learning a hard lesson: agents do not behave like human users. A human analyst may ask a few questions, inspect a dashboard, and refine a query. An AI agent may generate dozens or hundreds of intermediate queries, inspect schemas, test assumptions, call tools, create temporary state, retry failed paths, and coordinate

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