search-memory
Utilizes AI technology for smart search within personal knowledge bases, enabling quick retrieval of relevant information when users mention past work, fixes, or decisions.
npx skills add nowledge-co/community --skill search-memoryBefore / After Comparison
1 组When needing to find a previously resolved bug, the reasoning behind a design decision, or a specific feature implementation, it often requires manually searching through a large volume of documents, chat logs, and code repositories, which is time-consuming and yields uncertain results.
With the Search Memory skill, leverage AI-driven Nowledge Mem to perform semantic searches on your personal knowledge base. By simply describing in natural language, you can quickly find relevant historical work, solutions, preferences, or procedures, significantly improving information retrieval efficiency and accuracy.
description SKILL.md
search-memory
Search Memory
AI-powered search across your personal knowledge base using Nowledge Mem.
When to Use
Search when:
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the user references previous work, a prior fix, or an earlier decision
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the task resumes a named feature, bug, refactor, incident, or subsystem
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a debugging pattern resembles something solved earlier
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the user asks for rationale, preferences, procedures, or recurring workflow details
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the current result is ambiguous and past context would make the answer sharper
Retrieval Routing
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Start with
nmem --json m searchfor durable knowledge. -
Use
nmem --json t searchwhen the user is really asking about a prior conversation or exact session history. -
If a result includes
source_thread, inspect it progressively withnmem --json t show <thread_id> --limit 8 --offset 0 --content-limit 1200. -
Prefer the smallest retrieval surface that answers the question.
Weekly Installs313Repositorynowledge-co/communityGitHub Stars54First SeenFeb 15, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex295opencode295gemini-cli290github-copilot285kimi-cli280amp278
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