This is a solid approach to pipeline transparency. Working with Funnelsflex deployments, we often see a friction point between rigid UI funnel builders and the flexibility of raw Python scripts. Daggr seems to bridge that gap by keeping the logic in the code where it belongs, while providing the visual state persistence that’s usually missing in standard Gradio chains.
The ability to rerun individual nodes without triggering the entire inference stack is a huge win for debugging complex flexible workflows. I’m curious to see how it handles state management when scaling to high-concurrency environments, but for rapid prototyping and 'inspectable' AI apps, it’s a very clean implementation.
https://funnelsflex.io/