It looks neat but it's very limited at the moment, both in genres and artists. We did some testing and it only got one of the artists we searched for and none of the genres so far, sadly.
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ListenBrainz is the most mature open-source solution. It may connect to your player of choice (kinda like last.fm) and save what you've listened to to give you recommendations later.
I know about it, I use it myself. But I don't "scrobble" directly to ListenBrainz, it's connected to my Last.fm.
I'm not a big fan of the recommendations it gives me, not obscure enough for me. Maybe they will improve as more people use it, because AFAIK the algorithm is only based on listening data of users. I feel like the recommendations could already be better if MusicBrainz data like tags, labels, compilations albums, etc. were used additionally. (Example: You listen to artist X. Songs by artist Y are included in multiple compilation albums which also feature songs by artist X. Maybe you also like artist Y!)
For now I prefer tools like the one I posted here: There's a collection of albums tagged with music genres, styles, etc. You want to discover albums with a certain tag. The tool provides you with a random album with that certain tag.
(You can also do this manually with Rate Your Music charts by using a random number generator. I kinda wish they added a feature to do this automatically.)