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New version: nashsu.LLMWiki version 0.6.3 (#400889)
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# Created with YamlCreate.ps1 Dumplings Mod
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# yaml-language-server: $schema=https://aka.ms/winget-manifest.installer.1.12.0.schema.json
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PackageIdentifier: nashsu.LLMWiki
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PackageVersion: 0.6.3
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UpgradeBehavior: install
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ReleaseDate: 2026-07-11
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Installers:
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- Architecture: x64
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InstallerType: nullsoft
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Scope: user
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InstallerUrl: https://github.com/nashsu/llm_wiki/releases/download/v0.6.3/LLM.Wiki_0.6.3_x64-setup.exe
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InstallerSha256: 37716DC18E7030AFFC929DA641A6BEABDD18F549A015F3DC555991457D0969BE
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ProductCode: LLM Wiki
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- Architecture: x64
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InstallerType: wix
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Scope: machine
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InstallerUrl: https://github.com/nashsu/llm_wiki/releases/download/v0.6.3/LLM.Wiki_0.6.3_x64_en-US.msi
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InstallerSha256: F4D10BE8F7576012E41AB274CF9BCE069ADE2672C99969B1BF31FCFEF53FCB2F
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InstallerSwitches:
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InstallLocation: INSTALLDIR="<INSTALLPATH>"
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ProductCode: '{C6BED01D-4DAA-4EDB-9AE0-30791566E0C8}'
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AppsAndFeaturesEntries:
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- UpgradeCode: '{51897FF7-F36A-570D-8EE2-BFED15681FB4}'
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ManifestType: installer
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ManifestVersion: 1.12.0
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# Created with YamlCreate.ps1 Dumplings Mod
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# yaml-language-server: $schema=https://aka.ms/winget-manifest.defaultLocale.1.12.0.schema.json
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PackageIdentifier: nashsu.LLMWiki
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PackageVersion: 0.6.3
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PackageLocale: en-US
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Publisher: llmwiki
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PublisherUrl: https://www.nashsu.com/
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PublisherSupportUrl: https://github.com/nashsu/llm_wiki/issues
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PackageName: LLM Wiki
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PackageUrl: https://github.com/nashsu/llm_wiki
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License: GPL-3.0
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LicenseUrl: https://github.com/nashsu/llm_wiki/blob/HEAD/LICENSE
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ShortDescription: A personal knowledge base that builds itself. LLM reads your documents, builds a structured wiki, and keeps it current.
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Description: |-
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LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources. Knowledge is compiled once and kept current, not re-derived on every query.
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This project is based on Karpathy's LLM Wiki pattern — a methodology for building personal knowledge bases using LLMs. We implemented the core ideas as a full desktop application with significant enhancements.
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Features
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- Two-Step Chain-of-Thought Ingest — LLM analyzes first, then generates wiki pages with source traceability and incremental cache
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- 4-Signal Knowledge Graph — relevance model with direct links, source overlap, Adamic-Adar, and type affinity
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- Louvain Community Detection — automatic knowledge cluster discovery with cohesion scoring
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- Graph Insights — surprising connections and knowledge gaps with one-click Deep Research
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- Vector Semantic Search — optional embedding-based retrieval via LanceDB, supports any OpenAI-compatible endpoint
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- Persistent Ingest Queue — serial processing with crash recovery, cancel, retry, and progress visualization
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- Folder Import — recursive folder import preserving directory structure, folder context as LLM classification hint
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- Deep Research — LLM-optimized search topics, multi-query web search, auto-ingest results into wiki
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- Async Review System — LLM flags items for human judgment, predefined actions, pre-generated search queries
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- Chrome Web Clipper — one-click web page capture with auto-ingest into knowledge base
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Tags:
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- agent
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- agentic
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- ai
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- chatbot
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- knowledge-base
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- large-language-model
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- llm
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- wiki
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ReleaseNotesUrl: https://github.com/nashsu/llm_wiki/releases/tag/v0.3.1
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ManifestType: defaultLocale
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ManifestVersion: 1.12.0
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# Created with YamlCreate.ps1 Dumplings Mod
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# yaml-language-server: $schema=https://aka.ms/winget-manifest.locale.1.12.0.schema.json
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PackageIdentifier: nashsu.LLMWiki
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PackageVersion: 0.6.3
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PackageLocale: zh-CN
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ShortDescription: 一个能自我构建的个人知识库。LLM 阅读你的文档,构建结构化 Wiki,并持续保持更新。
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Description: |-
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LLM Wiki 是一个跨平台桌面应用,能将你的文档自动转化为有组织、相互关联的知识库。与传统 RAG(每次查询都从头检索和回答)不同,LLM 会从你的资料中增量构建并维护一个持久化的 Wiki。知识只编译一次并持续更新,而非每次查询都重新推导。
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本项目基于 Karpathy 的 LLM Wiki 方法论 —— 一套使用 LLM 构建个人知识库的方法论。我们将其核心理念实现为一个完整的桌面应用,并做了大量增强。
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功能亮点
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- 两步思维链摄入 — LLM 先分析再生成 Wiki 页面,来源可追溯,支持增量缓存
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- 四信号知识图谱 — 直接链接、来源重叠、Adamic-Adar、类型亲和四维关联度模型
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- Louvain 社区检测 — 自动发现知识聚类,内聚度评分
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- 图谱洞察 — 惊奇连接与知识空白检测,一键触发 Deep Research
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- 向量语义搜索 — 可选的 embedding 检索,基于 LanceDB,支持任意 OpenAI 兼容端点
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- 持久化摄入队列 — 串行处理,崩溃恢复,取消/重试,进度可视化
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- 文件夹导入 — 递归导入保留目录结构,文件夹路径作为 LLM 分类上下文
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- 深度研究 — LLM 智能生成搜索主题,多查询网络搜索,研究结果自动摄入 Wiki
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- 异步审核系统 — LLM 在摄入时标记需人工判断的项,预定义操作,预生成搜索查询
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- Chrome 网页剪藏 — 一键捕获网页内容,自动摄入知识库
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Tags:
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- 人工智能
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- 大语言模型
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- 智能体
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- 百科
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- 知识库
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- 维基
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- 聊天机器人
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- 自主智能
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ReleaseNotes: See the assets below for download links.
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ReleaseNotesUrl: https://github.com/nashsu/llm_wiki/releases/tag/v0.6.3
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ManifestType: locale
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ManifestVersion: 1.12.0
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# Created with YamlCreate.ps1 Dumplings Mod
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# yaml-language-server: $schema=https://aka.ms/winget-manifest.version.1.12.0.schema.json
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PackageIdentifier: nashsu.LLMWiki
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PackageVersion: 0.6.3
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DefaultLocale: en-US
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ManifestType: version
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ManifestVersion: 1.12.0

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