Local LLM
ext-apps
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
★ 2.9k starsUnknown
View guide →Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
WeKnora is an open-source rag & knowledge project by Tencent (Tencent/WeKnora on GitHub). It has 31,891 GitHub stars and 4,255 forks, is released under the Unknown license, and was last updated on GitHub on 1 October 2026.
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
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OpenKB compiles your documents into a persistent, interlinked wiki knowledge base — no vector DB
A personal knowledge base that builds itself — drop in sources, get a persistent interlinked wiki.
The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if WeKnora is not the right fit.
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Ready-to-run templates for RAG, AI pipelines and enterprise search that stay in sync with live data
Free and open — grab the source, star the repo, and start creating.