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Why Your Agent Memory System Gets Beaten by Raw Retrieval

This story is from 2026-10-28. It is preserved in the archive; the latest stories are on the live feed.

Over the past year, agent architectures have converged on a very specific kind of complexity. If an agent needs to remember things across long sessions, the standard playbook says you do not just hand it raw logs. You build a memory pipeline. You extract atomic facts, cluster user preferences into…

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  1. 2026-10-28 16:37 · DEV Community — Machine Learning
    Why Your Agent Memory System Gets Beaten by Raw Retrieval

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