Add Memory to an Existing App with a Reversible Rollout

Memory should be introduced incrementally at a narrow capture and retrieval boundary, beginning with a single recurring workflow where absent context creates clear user friction rather than redesigning all conversation flows. A successful pilot requires stable user and tenant identity, authorization-checked scope, explicit write policies, and a feature flag that can disable memory-assisted responses without affecting existing behavior. Teams should first capture selected events through an idempotent adapter that records source identity and processing status, then review stored data for overcollection, extraction errors, and temporary instructions incorrectly treated as long-term preferences. Retrieval should initially run in shadow mode so its relevance, currency, authorization, and usefulness can be evaluated against human-selected evidence before it affects responses. Limited rollout should use controlled context budgets and logs that show selected evidence and whether it was used appropriately, while testing corrections, deletions, empty results, new sessions, and failures. The approach also calls for clear handling of pilot writes, user inspection and removal options, and gradual expansion only after capture and recall tests succeed.

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