Local LLM
shimmy
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
★ 5.9k starsApache-2.0
View guide →RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
ragflow is an open-source rag & knowledge project by infiniflow (infiniflow/ragflow on GitHub). It has 91,633 GitHub stars and 10,881 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 3 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.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Ask questions over your PDFs, notes, and codebases.
Pay nothing per token, ever.
Prompts and documents stay on your hardware, always.
RAG, tools, and agents build on the same base.
Download the source and move into the project folder.
git clone https://github.com/infiniflow/ragflow.git
cd ragflowEvery 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 infiniflow/ragflow with 10,881 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
8B models run on 16GB RAM; bigger models want a real GPU.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
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The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if ragflow 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
Complete API layer for private AI apps on local models: RAG, skills, tools, MCP and text-to-SQL
Free and open — grab the source, star the repo, and start creating.