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Home/Cloud & DevOps/Cognitive Memory for Agents: Vector Search vs Activation-Based Recall
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Cognitive Memory for Agents: Vector Search vs Activation-Based Recall

I spent a few weeks trying to build an agent that could remember specific user preferences across sessions without bloating the context window to a point where latency became unbearable. The standard advice is always "just use a vector database." But as the memory store grew, I noticed a weird gap:

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