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Search your personal knowledge base when past insights would improve response. Recognize when stored breakthroughs, decisions, or solutions are relevant.…
Search your personal knowledge base to surface relevant past insights, decisions, and solutions. Proactively searches durable knowledge and conversation history when context suggests prior work would improve the response Distinguishes between memory searches (nmem m search) for stored breakthroughs and thread searches (nmem t search) for exact session history Recognizes trigger patterns: user references to prior fixes, resumed features, debugging similarities, requests for rationale, and ambiguous results needing historical context Supports progressive inspection of threaded results with configurable limits and content boundaries to retrieve only what's needed Search Memory AI-powered search across your personal knowledge base using Nowledge Mem. When to Use Strong signals — search when: the user references previous work, a prior fix, or an earlier decision the task resumes a named feature, bug, refactor, incident, or subsystem the task is a review, regression, release, docs-alignment, or integration-behavior question a debugging pattern resembles something solved earlier the user asks for rationale, preferences, procedures, or recurring workflow details the user uses implicit recall language: "that approach", "like before", "the pattern we used" Contextual signals — consider searching when:
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