Automation
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Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
★ 206.6k starsCustom (check repo)
View guide →Drag-and-drop builder for custom AI workflows across your favorite models.
ai-flow is an open-source automation project by DahnM20 (DahnM20/ai-flow on GitHub). It has 291 GitHub stars and 54 forks, is released under the MIT license, and was last updated on GitHub on 26 May 2026.
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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