Local LLM
ramalama
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in productio…
★ 3.1k starsMIT
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lobehub is an open-source local llm project by lobehub (lobehub/lobehub on GitHub). It has 82,968 GitHub stars and 15,955 forks, is released under the Custom 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.
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.
Smart compression runs big models on modest hardware.
Download the source and move into the project folder.
git clone https://github.com/lobehub/lobehub.git
cd lobehubEvery 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 lobehub/lobehub with 15,955 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Custom — check the repo for commercial-use terms.
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.
A recent 8–32B instruct model is the sweet spot for most machines.
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in productio…
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
Run frontier AI locally.
Sandbox for local AI agents so they only touch what they need.
Self-hosted local llm: turns phones into local ai agent runtimes with on-devic.
Pack and deploy local AI agents designed for your team in minutes.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if lobehub is not the right fit.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
GPT4All — run local LLMs on any device: a free desktop chat client and Python SDK that run open models entirely on your CPU, no GPU or cloud required
Free and open — grab the source, star the repo, and start creating.