Show HN: Floneum, a graph editor for local AI workflows (opens in new tab)

It is a bit different from Flowise because it is focused on end users building workflows instead of companies building on top of Flowise. Because Floneum is focused on non-technical end users, we also have a fully sandboxed plugin system and require no external dependencies like python/npm to get started

This is exactly what we are trying to achieve with Ultraforge: https://www.filterforge.com/ultraforge/

It will be focused on images at first, but if it takes of, nothing prevents us from adding other types of nodes (audio, etc.)

2. There are a few differences: a) Floneum doesn't require any setup. No need to install python, cuda, or pop. Just download the executable and run b) It has first class support for quantized local models c) It supports fully issolated WASM plugins (not arbitrary python code)

3. Floneum is fully Open Source!

Currently, requests are limited to simple GET requests from Floneum to a endpoint. In the future I would like to support more methods that would make implementing this as a plugin possible. WASMtime is still in the process of implementing the stream API, which would make implementing this much easier.

Once Floneum is more complete, the target users are any non-develper professionals with repetitive tasks. It should serve to automate tasks that are difficult to monetize either because the task itself is too specific to you (like cross refrencing your Google calendar with any events discussed on your corporate slack channel to see if they conflict or watching for any new novels that are about magical worlds by authors that have a terse writing style) or tasks that are too small to pay for by themselves (for example searching a schools class listing and finding the teachers that fit best with a specific students needs). The first example would also benefit from the fact that Floneum runs models entirely locally. (You wouldn't want to send your corporate chat to Open AI)