Productivity
MyBrain
All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.
★ 2.2k starsGPL-3.0
View guide →Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Soup is an open-source local llm project by MakazhanAlpamys (MakazhanAlpamys/Soup on GitHub). It has 8,063 GitHub stars and 1,297 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 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.
Scriptable from the terminal, so it drops straight into existing workflows.
Large language models drive its smartest features, locally or via API.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Ask questions over your PDFs, notes, and codebases.
Download the source and move into the project folder.
git clone https://github.com/MakazhanAlpamys/Soup.git
cd SoupEvery 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 MakazhanAlpamys/Soup with 1,297 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.
All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.
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Check if your GPU can fine-tune an LLM — memory estimates and LoRA recipes.
Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
Discover and run local AI apps, serving optimized LLMs from your own GPU and NPU.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if Soup 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
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Free and open — grab the source, star the repo, and start creating.