local-memory-rag

Build and query a private, offline, localhost-only Markdown knowledge index with keyword, fuzzy, or optional local semantic retrieval and relative-path citations. Use this Skill from Qoder, WorkBuddy, TRAE Work, or another productivity Agent when searching personal notes, meeting records, customer context, or another local Markdown vault without sending documents to an external service. Prefer this Skill over ad-hoc cloud RAG whenever the source material must remain on the device.

RAG Markdown

模型生成摘要（rules/v1 · 2026-11-02 02:29）：Build and query a private, offline, localhost-only Markdown knowledge index with keyword, fuzzy, or optional local seman…
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

存档时间线

版本	存档时间	内容哈希	内容
v1	2026-11-02 00:30	f76add87	可取

版本索引永久保留；内容副本只保留最新 1 份，更早版本仅留索引与哈希（存档时间线的证据链不会因此断裂）。

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相关资产

MCP 需 API Key

ia-qa.com/mcp llm and RAG testing - Dev/QA toolbox

IA-QA as an MCP Server

RAG

原作者：ia-qa 来源：Smithery 仅卡片存档

MCP 需 API Key

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原作者：gary-edgington 来源：Smithery 仅卡片存档

MCP 需 API Key

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原作者：b-nicovski 来源：Smithery 仅卡片存档

MCP 需 API Key

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原作者：maxschnee74 来源：Smithery 仅卡片存档

MCP 需 API Key

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Chemical intelligence for compound structure search, fragment analysis, and ADMET property prediction

RAG

原作者：openpatsnap 来源：Smithery 仅卡片存档

MCP 需 API Key

Grimoire Spellbook Server

Provide a comprehensive spellbook for Dungeons & Dragons 5th Edition to enhance your gameplay experience

RAG

原作者：linell 来源：Smithery 仅卡片存档

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