Продуктивность
MyBrain
All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.
★ 2,2 тыс. звёздGPL-3.0
Смотреть руководство →Soup — проект с открытым исходным кодом из категории «Локальные LLM» от MakazhanAlpamys (MakazhanAlpamys/Soup на GitHub). У него 8 063 звезды на GitHub и 1 297 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 2 октября 2026.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
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.
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Open-source 24/7 Cowork app for OpenClaw, Hermes, Claude Code, Codex, OpenCode and 20+ more CLI Agent | Customize your assistants | Team them up｜Star if you …
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.
Compile and run LLMs anywhere - phones, laptops, browsers and GPUs - with one engine
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Soup вам не подходит.
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
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к Soup — продолжайте изучать полку по обе стороны от него.
KoboldCpp - Run GGUF AI models locally with a KoboldAI UI. One File. Zero Install
vLLM-Omni — efficient inference for omni-modality models: image, audio, video, diffusion and policies.
Typescript/React Library for AI Chat 💬🚀
DeepSeek-Coder-V2 — DeepSeek's open code model family that challenged closed-source code models.
Access large language models from the command-line
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.