Everyone says the Agent era is about better prompts, bigger context windows, and smarter retrieval. Most teams still treat knowledge like a temporary input: retrieve chunks, answer the question, discard the trace.
Everyone says the Agent era is about better prompts, bigger context windows, and smarter retrieval.
If an Agent cannot organize, maintain, and evolve what it learns, model strength alone is not enough.
Most teams still treat knowledge like a temporary input: retrieve chunks, answer the question, discard the trace.
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Everyone says the Agent era is about better prompts, bigger context windows, and smarter retrieval. Most teams still treat knowledge like a temporary input: retrieve chunks, answer the question, discard the trace. If an Agent cannot organize, maintain, and evolve what it learns, model strength alone is not enough.
Knowledge Engineering teaches Agents to study. Memory architecture matters more than retrieval tuning. That is true — but it is not the bottleneck anymore.
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