Автоматизация
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
★ 206,6 тыс. звёздCustom (check repo)
Смотреть руководство →ai-flow — проект с открытым исходным кодом из категории «Автоматизация» от DahnM20 (DahnM20/ai-flow на GitHub). У него 291 звезда на GitHub и 54 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 26 мая 2026.
Drag-and-drop builder for custom AI workflows across your favorite models.
Launch AI-Flow and start with a blank workflow.
Add text, image, or chat models from the node palette.
Wire nodes together so outputs feed the next step.
Add your own API keys and execute the workflow.
Build workflows visually, no code required.
Chain GPT-4o, Stable Diffusion, FLUX, and more.
Connect your own API accounts to each model.
Branch, merge, and sequence AI steps freely.
Run it yourself and keep data in your hands.
Fully open source under the MIT license.
Download the source and move into the project folder.
git clone https://github.com/DahnM20/ai-flow.git
cd ai-flowFollow the README install step for the Node stack.
npm installStart the app and open the workflow canvas.
npm run devYes — MIT licensed and free to run; you pay only for the model APIs you connect.
GPT-4o, Stable Diffusion, FLUX, and more via your own API keys.
No — the drag-and-drop canvas is built for non-coders.
Yes, it is designed to be self-hosted.
In your own instance — nothing is shared with third parties.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.