RAG・知識ベース
OpenDocuments
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
★ 115 スターMIT
ガイドを見る →linkly-ai-skillsは、LinklyAI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: LinklyAI/linkly-ai-skills）。GitHubスターは65、フォークは3で、Apache-2.0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9月30日です。
Skills that let coding agents search and read your local documents.
Download the skill collection.
Choose search, browse, or read for your agent.
Copy it into your agent skills directory.
Ask the agent about your local files.
Agents find answers in your files.
Skills for navigating documents.
Works across agent harnesses.
Standard protocol integration.
Skills for agent memory workflows.
Built for in-task research.
Download the skill collection.
git clone https://github.com/LinklyAI/linkly-ai-skills.git
cd linkly-ai-skillsSee which document skills are included.
ls skills/Copy it into your agent skills folder.
cp -r skills/document-search ~/.claude/skills/Linkly AI, at LinklyAI/linkly-ai-skills with 3 forks.
Yes. It is Apache-2.0 licensed.
Any AI coding agent that supports the skill format.
No. The skills are local-first for your own files.
Search, browse, and read local documents, plus memory management.
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
Ask questions of your Obsidian notes with private, local AI RAG.
Official agent skills that teach AI coding tools to work with Supabase.
A private AI platform for agents, assistants and enterprise search over your documents
Utopia — an open-source enterprise world model: a bitemporal knowledge substrate that learns from your documents and gives agents a governed, auditable memory
The open-source, permission-aware context layer that lets agents search all your company knowledge.
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 — linkly-ai-skills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。
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
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Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
カタログの中でlinkly-ai-skills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。
A self-hostable markdown team wiki with a built-in MCP server.
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A Flutter e-reader and audiobook app with AI chat.
MCP server that lets Claude and ChatGPT edit and compare PDFs.
Agent-fed knowledge base that distills learnings into cited wiki pages.
Free rag & knowledge tool that enterprise-ready vector database toolkit for building s.