RAG et connaissances
OpenDocuments
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
★ 115 étoilesMIT
Voir le guide →linkly-ai-skills est un projet de RAG et connaissances open source, créé par LinklyAI (LinklyAI/linkly-ai-skills sur GitHub). Il compte 65 étoiles sur GitHub et 3 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 30 septembre 2026.
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.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.