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Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
ai-flow é um projeto de automação de código aberto de DahnM20 (DahnM20/ai-flow no GitHub). Tem 291 estrelas no GitHub e 54 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 26 de maio de 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.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
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Browse, copy, and reuse 2000+ free n8n AI automation workflows.
Self-healing web scraping for AI agents, plus an MCP server.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.