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Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
★ 2,9 mil estrelasUnknown
Ver o guia →WeKnora é um projeto de RAG e conhecimento de código aberto de Tencent (Tencent/WeKnora no GitHub). Tem 31.891 estrelas no GitHub e 4.255 forks, é publicado sob a licença Unknown e foi atualizado pela última vez no GitHub em 1 de outubro de 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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MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Os outros projetos de RAG e conhecimento com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se WeKnora não for o ideal para você.
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Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.