Простая установка
Fitness-OS
Personal AI fitness workspace with a 3D body and local-first data.
★ 68 звёздApache-2.0
Смотреть руководство →ironclaw-ai-vision — проект с открытым исходным кодом из категории «Простая установка» от shadowlzt (shadowlzt/ironclaw-ai-vision на GitHub). У него 117 звёзд на GitHub и 0 форков, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 4 октября 2026.
AI fitness coach and smart recipe agent as an installable PWA.
Get the code and read the README.
Set up the Next.js project.
Add your model provider keys.
Launch it and install to your device.
AI-guided workout plans.
Smart meal and recipe ideas.
Runs like a native app.
Modern web codebase.
Capacitor targets mobile too.
Agent-style interactions.
Download the source and enter the folder.
git clone https://github.com/shadowlzt/ironclaw-ai-vision.git
cd ironclaw-ai-visionInstall the Node.js dependencies.
npm installStart the dev server.
npm run devAn AI fitness coach and recipe agent built as a PWA, at shadowlzt/ironclaw-ai-vision.
It is a PWA with Capacitor for mobile packaging.
The code is on GitHub under a custom license; check the terms.
Agentic features need a model provider; see the README.
Check the repo for what is implemented; it reads as an active build.
Personal AI fitness workspace with a 3D body and local-first data.
A self-hosted AI workout tracker with your own LLM.
Open easy install for fit coach is an ai-powered fitness web app that deliver.
Open easy install for bfree trainer ai coach 2026: smart fitness app for adap.
AI recipes from the ingredients you have and the diet you follow.
Smart workout automation and client insights for trainers.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.