It is difficult for me to lay blame at the feet of application developers (assuming they didn’t make the choice to use Electron) when the platform itself is so bad at giving developers ways to manage their apps’ memory usage.

If you want to listen for an event on a global object like `window`, the platform could give a way to do this using a weak reference, but it doesn’t, so you have to make sure to always remember to manually remove the listener yourself or else you’ve just leaked a bunch of stuff.

If you want to load an image, or some other media, the platform could give a way to control the runtime’s internal caches so you aren’t retaining data in memory that you don’t need—but it doesn’t, so you have to hope that the generic runtime memory cache from Chromium is intelligent enough not to retain unimportant things (and, in my experience, it’s not).

This problem has existed in one form or another in every Electron app I’ve ever used. Some are certainly worse than others, but I don’t think I’ve ever seen one come within even an order of magnitude of the memory usage of similar apps written natively.

~60mb memory usage at startup.

Right, I'm convinced.

Try this: open a new Chrome instance; look at its memory usage; then load a bunch of tabs (try an Open All on a bookmarks folder), close them all again, and then look at Chrome's memory usage again. It will have increased.

Chrome isn't leaking memory; instead, it is doing the same thing that an Operating System does: weakly reserving memory to optimistically cache stuff, releasing it again if there's enough memory pressure.

This works okay if you only have Chrome itself running. (Even then, its cache fights a bit with the OS page cache. It's certainly no Postgres, intentionally getting the OS page-cache to do its caching for it.) But as soon as you have two separate Chromium instances running (e.g. Chrome itself, plus an Electron app), then each one is going to try to "optimistically" cache as much stuff as it can, until it runs into the memory pressure created by the other instance caching as much stuff as it can, and so each instance will unload just a bit to let the other one cache just a bit more—back and forth—forever. Together, they thrash memory, and it becomes much harder for them to actually accomplish the "weak" part of "weak reservation", instead ending up hoarding all the memory between them.

This is the pretty much the same problem you see if you try to e.g. run two memory-heavy JVM processes (e.g. ElasticSearch) on the same system. Chrome is just one of the few times you'll see this "recapitulation of memory management within the runtime" effect client-side, rather than server-side.

(Regarding uptime, it's not at all uncommon for Chrome's memory usage to double or even triple overnight. Partially a function of the websites you have open, sure, but also partially a function of Chrome itself).