一个自我建立的个人知识库。 LLM会阅读你的文档，构建结构化的维基，并保持其最新。

这是什么？• 特色 • 技术栈 • 安装 • 制作人员名单 • 许可

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特色

• 两步思维链采集 — LLM先分析，然后生成具有源可追溯性和增量缓存的维基页面
• 多模态图像摄取 — 从PDF中提取嵌入图片，使用视觉大型语言模型生成事实说明，并通过Lightbox预览和跳转到源头显示在图像感知搜索结果中
• 多格式文档解析 — 导入PDF、Office文档、EPUB/MOBI、组织模式、图片、媒体、网页剪辑和批次URL，支持内置、云端或本地MinerU PDF处理
• 灵活模型配置 — 为每个项目配置模型，独立路由聊天和导入，管理自定义提供者、头部和流媒体输出
• 基于来源的检索 — 使用仅读源模式，仅回答原始导入材料

LLM Wiki

A personal knowledge base that builds itself. LLM reads your documents, builds a structured wiki, and keeps it current.

What is this? • Features • Tech Stack • Installation • Credits • License

English | 中文 | 日本語 | 한국어

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Features

• Two-Step Chain-of-Thought Ingest — LLM analyzes first, then generates wiki pages with source traceability and incremental cache
• Multimodal Image Ingestion — extract embedded images from PDFs, generate factual captions with a vision LLM, surface them in image-aware search results with lightbox preview and jump-to-source
• Multi-format Document Parsing — ingest PDF, Office documents, EPUB/MOBI, Org mode, images, media, web clips, and batches of URLs, with built-in, cloud, or local MinerU PDF processing
• Flexible Model Configuration — configure models per project, route Chat and Ingest independently, and manage custom providers, headers, and streaming output
• Source-grounded Retrieval — use Read Sources Only mode to answer exclusively from original imported material
• Project Management & Migration — export and import complete project archives across devices, and rebuild the Wiki index from existing pages
• 4-Signal Knowledge Graph — relevance model with direct links, source overlap, Adamic-Adar, and type affinity
• Louvain Community Detection — automatic knowledge cluster discovery with cohesion scoring
• Graph Insights — surprising connections and knowledge gaps with one-click Deep Research
• Vector Semantic Search — optional embedding-based retrieval via LanceDB, supports any OpenAI-compatible endpoint
• Persistent Ingest Queue — serial processing with crash recovery, cancel, retry, and progress visualization
• Folder Import — recursive folder import preserving directory structure, folder context as LLM classification hint
• Source Folder Auto-Watch — detects external changes in raw/sources/ and keeps ingest/delete cleanup in sync
• Deep Research — LLM-optimized search topics, multi-query web search via Tavily, SerpApi, or SearXNG, auto-ingest results into wiki
• Rust Backend Chat Agent — tool-using chat runtime with wiki/source/graph/web retrieval, workspace file generation, shell approval, cancellation, and streaming tool events
• Agent Skills — scan and enable local SKILL.md folders, select skills with /skill, and let the Agent read skill instructions on demand