Automatisation
flowgram.ai
FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platform…
★ 8,5 k étoilesMIT
Voir le guide →workflowbuilder est un projet de automatisation open source, créé par synergycodes (synergycodes/workflowbuilder sur GitHub). Il compte 388 étoiles sur GitHub et 69 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 2 octobre 2026.
React SDK for embedding drag-and-drop workflow editors in your product.
Add the React package to your frontend.
Drop the drag-and-drop canvas into your app.
Use the reference back end or your own engine.
Let users build automations inside your product.
Drag-and-drop workflow UI for your app.
Swap execution engines by design.
Reference stack validated with Temporal.
Built on a mature diagramming library.
Reference stack covers AI automations.
Permissive license for commercial products.
Download the source and move into the project folder.
git clone https://github.com/synergycodes/workflowbuilder.git
cd workflowbuilderEvery 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 commandNo, the execution engine is swappable; Temporal is the proven reference.
Apache 2.0 licensed — commercial use allowed with attribution.
The SDK is React-based, so your frontend needs React.
A working example backend you can adapt or replace.
Yes, the reference stack is designed for AI workflows and automations.
FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platform…
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.