ローカルLLM
ComfyUI-GGUF
GGUF Quantization support for native ComfyUI models
★ 4.1k スターApache-2.0
ガイドを見る →knowledge-baseは、bkywksjが公開しているオープンソースのRAG・知識ベースプロジェクトです（GitHub: bkywksj/knowledge-base）。GitHubスターは328、フォークは62で、NOASSERTIONライセンスの下で公開されています。GitHubでの最終更新は2026年10月2日です。
Knowledge-base — 本地优先的知识库桌面应用。markdown 编辑器 + 全文搜索（fts5） + 双向链接 / 知识图谱；多端, publicly avai...
Fetch the source code onto your machine.
Pull in the Node packages the app needs.
Copy the sample config or env file and adjust it.
Start the development or production server.
Built around ai assistant for a focused workflow.
Built around cross platform for a focused workflow.
Built around desktop app for a focused workflow.
Built around fts5 for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/bkywksj/knowledge-base.gitInstall Node dependencies.
cd knowledge-base && npm installRun the application.
cd knowledge-base && npm startIt 本地优先的知识库桌面应用。Markdown 编辑器 + 全文搜索（FTS5） + 双向链接 / 知识图谱；多端同步（WebDAV / S3 / 同步盘，单笔记粒度增量 + 自动双向调度，含整库 ZIP 备份）；AI 问答与智能规划（OpenAI 兼容 / Ollama / 自定义 provider，工具调用框架）；支持导入 .md / .txt / .pdf / .docx（自动嗅探编码）；笔记加密 Vault + 隐藏笔记 PIN；自定义数据目录；跨平台 Win/macOS/Linux + 应用内自动更新。Tauri 2.x + React 19 + Rust + SQLite，零云端依赖。, giving you a working starting point you can run and adapt.
Yes — the code is publicly available, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in TypeScript, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
GGUF Quantization support for native ComfyUI models
Compose multi-track MIDI with Gemini and DeepSeek.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Internal Q&A and knowledge base for Backstage.
Local knowledge-base Q&A over PDFs, Office files, images and web pages - offline and CPU-friendly.
A free, open mathematical knowledge base built for clarity.
LibreAIカタログに掲載されたRAG・知識ベースプロジェクトの中で最もスターの多いもの — knowledge-baseが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でknowledge-baseとスター数が近いRAG・知識ベースプロジェクト — 前後の棚もそのまま見て回れます。
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