I like this idea, but I do not really understand who it is aimed at. The focus seems to be on reproducibility of scientific experiments and code, which is great! Many existing code artifacts are WOGSL (Works On Graduate Student's Laptop) which is the CS equivalent of "runs when parked".

So, let's break down the fields of CS for which this should be applicable:

* Systems: This won't work except for the few systems projects that are entirely in-RAM AND will work on tinycore's kernel version

* ML: This, I can see, especially with the seeming focus on dataset management. Much ML is compute-bound and the overhead of using the FUSE FS's is hopefully negligible.

So, is this focused on ML and ML-using code and experiments? If so, I think that should be clarified. I think a lot of systems folk will be (rightly or wrongly) turned away from it due to the seeming overhead of the various hyper* extensions. Not to mention that they are all written in Node/JS (Again, rightly or wrongly, many systems folk will not want to run their stuff on platforms written in JS)

I like the direction this project can go, but there seems to be a lack of focus or direction in your mission right now.