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Our AI Had 64 Memories and Thought It Had Zero
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Our AI Had 64 Memories and Thought It Had Zero

via Dev.to DevOpsORCHESTRATE

We ran a 14-person AI team review yesterday. Nine of fourteen personas reported the same finding: the memory system is dead. Every persona recalled nothing. The institutional learning that was supposed to make this platform intelligent was gone. We filed it as a critical systemic issue. Updated the risk register. Wrote a blog post about it. Prepared to engage the MCP framework developer. Then the developer looked at the data and said: "There are 64 memories stored for that persona." The Bug The memory system has two operations: store and recall. Store worked perfectly. Every time an AI agent completed a ticket, it stored a LESSON entry attributed to its persona. The enforcement gate (a blocking check at the DONE phase) confirmed storage. 64 entries for a single persona across Sprint 8. Recall failed every time. Not because the data was missing, but because the search was wrong. The recall query looked like this: \ The search implementation used AND logic: every word in the query must a

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