For anyone running a persistent memory layer that more than one agent reads from — as it grows, how do you know which entries actually get pulled into a run vs. which just sit there adding retrieval noise? Storing is easy and every run tempts you to write more, but a memory that never gets retrieved isn't context — it's surface area the next search has to wade through. I can measure what I wrote; what I haven't cracked is measuring what actually loaded and changed an output. So — do you track retrieval-per-entry and prune what never fires, or is it still by feel? And if you prune, what's your signal that a memory is dead weight and not just rarely-needed?

So I'm quite conflicted as of now. I've been looking into it for 2 weeks but still can't decide. Then I remembered that I'm part of a 36,000 member community with experts everywhere, so why not ask here. Here's the "context.md": I am a university student but I also love experimenting and working with open source frameworks, LLM's and so on. So a lot of the parts I value is: Portability - A laptop let's me easily go anywhere with all my work, projects, anything and everything. An issue though, because they are laptops, that means it can't handle as much power (watts) coming in = less performance. This again could be a very minor issue, don't have experience with MacBook's but everyone running portable AI friendly local hardware always has a MacBook. - Yet another caveat, it's still possible to have a whole home desktop and connect with it over the internet, but there's always a slight delay and it might not feel that smooth ruining the "flow state" or whatever, not too sure about this as I haven't tested anything other than https://remotly.com for very light usage. Performance - The most important thing is performance of course, I want to run 9B, maybe even Gemma 4 26B on top of tons of locally running systems like my own OS, Hermes, cron jobs and so much more. The overall aspect - Things such as "If I get a laptop, will it sound like an airplane", "Is the plastic good enough to sustain 4-5 years of constant moving in a bag, floors (in a bag) and so on?", "Is the battery life good enough to hold out if I am out the entire day (considering I don't use 100% of the ram of course)", "Cuda would definitely be good, most of the open source LLM stuff is easily supported by Cuda, aka RTX's", "Can 32GB's of DDR5 RAM hold out better than a 16 GB RTX 6 GB VRAM laptop, and is it even worth getting a RTX x on a laptop? Instantly butchering the capabilities?". Now the budget aspect Over the last few weeks I've had come to a few conclusions: