Memory-constrained environment

I think this might be a case of the XY problem. I’ll try to answer your question anyway. Typically, the term “memory-constrained environment” refers to a device with very little memory available (as in Random Access Memory (RAM)). It has more to do with hardware than software, and is a relative term. Devices that run Android-based operating systems are not necessarily memory-constrained, nor are they necessarily NOT memory-constrained. That depends on the hardware and what exactly you want to do with it. If you perhaps saw a piece of software saying it is “optimized for memory-constrained environments” or something similar, that doesn’t usually mean “you should try to use a memory-constrained device for the best results”. Rather, it usually means “we were careful to make sure you could still use this software reasonably well on a memory-constrained device if you need to”. Some examples of situations which would probably be considered “memory-constrained” in just about any situation which was using the term would be the RP2350 chip alone (which has 520 KB on-chip RAM) or the Raspberry Pi Zero board (which has a much more reasonable 512MB RAM). That said, these are fairly extreme examples and may also be too memory-constrained for a lot of software, even if it is “optimized for memory-constrained environments”. I am not affiliated with or sponsored by Raspberry Pi. I don’t even own one. They are just the first thing I think of for “tiny computers”.