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Article: Systemic Approach to Memory, Knowledge, and Context in Agentic AI Architectures

The article argues that reliable agentic AI architecture depends on a context engine that selects, injects, compresses, and expires information before it reaches the model. It separates context, memory, and knowledge, and recommends tiered memory, curated knowledge, and token budgeting.

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