LLM locaux
ext-apps
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
★ 2,9 k étoilesUnknown
Voir le guide →WeKnora est un projet de RAG et connaissances open source, créé par Tencent (Tencent/WeKnora sur GitHub). Il compte 31 891 étoiles sur GitHub et 4 255 forks, il est publié sous la licence Unknown et a été mis à jour pour la dernière fois sur GitHub le 1er octobre 2026.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
One binary or app gets you a working local model setup.
Pick a size that fits your RAM/VRAM; smaller models run on laptops.
Use the built-in UI, or point OpenAI-compatible clients at it.
Airplane mode works — your prompts never leave the device.
Large language models drive its smartest features, locally or via API.
Pay nothing per token, ever.
Prompts and documents stay on your hardware, always.
RAG, tools, and agents build on the same base.
Smart compression runs big models on modest hardware.
Works on planes, in basements, behind firewalls.
Download the source and move into the project folder.
git clone https://github.com/Tencent/WeKnora.git
cd WeKnoraEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Tencent/WeKnora with 4,255 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
Yes — with no network calls, there's nothing to leak.
Close on many tasks now; frontier cloud models still lead on hard reasoning.
8B models run on 16GB RAM; bigger models want a real GPU.
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
Run frontier AI locally.
Self-hosted rag & knowledge: turn your own pdf textbooks into an ai-searchable knowl.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.