I searched around a bit and found https://github.com/dreiekk/calcdav
not sure if it still works, last commit was 3 years ago (on the other hand, there was no AI vibecoding back then, so thats a plus), but it looks like it might do exactly what you’re looking for
same, borg with borgmatic
I was meaning to ask:
would it be possible to add sourcehut support? (through their graphql api)
So cool! Gonna upgrade the coming weekend!
I use other existing solutions for 1-on-1 e2ee
for a public group room, there is no point in e2ee. And thats the only feature I use discord and discord-alternatives for.
I like fluxer.app
I recommend managing it through Dokploy.
And put crowdsec in front of it to block attacks.
which is weird because they are not any good either
Already selfhosting it. Thank you so much for your time and effort <3
afaik you just listed features that the printer I mentioned (or if I am wrong, other similar printers) supports
it’s my bad for not mentioning all possible workflows, I was just a bit lazy and thinking of my personal documents only, which do not work well with further smart automation, because my batches are highly irregular. So the more manual approach is the best for me currently. Maybe possible with some future AI integration.
please elaborate
Epson WorkForce DS‑730N
put 100 sheets on the tray, it scans them all and either puts them all into a single pdf or multiple pdfs. Then you split / merge them in software.
You could buy an automatic scanner that takes a stack of docs and dumps the files to a network share.
afaik I’m on an older version of https://github.com/distribution/distribution/pkgs/container/distribution
my compose somehow doesn’t have much info … i should have made more notes
image: registry:2
i selfhost a pullthrough docker repository, so every container I use is stored in there and can be pulled offline.
a budget oriented one
I backup the whole / with borg
It has insane deduplication and compression and it creates a structure kind of like git, so you can have lots of incrimental versions without using much space.
If you are on linux, and want ai assisted stuff like you mentioned there has been this for a while: https://github.com/qwersyk/Newelle
( or the weeb version if you prefer: https://wiki.nyarchlinux.moe/nyarchassistant/ )
and it can use locally run models. But have realistic expectations. If you want it to work well, you need a beefy GPU, a lot of RAM and swap. The “intelligence” is kind of limited if you run low spec models, to the point of it maybe being utterly useless.