What is the current Memory Meta?
This covers generation capability or on-device inference progress — worth tracking for model efficiency, deployment cost, and application openings.
A user is seeking clarity on the current "memory meta" for Large Language Models (LLMs), noting that despite extensive browsing, a definitive best system remains elusive.…
Hey guys,
Despite browsing this sub, and the myriad of other LLM reddits, I feel no closer to understanding what the best memory system is these days.
I doubt this problem is "solved" by any means, but surely it's gotten more a better solution than just say Obsidian right?
Currently I'm using the OKF files and it seems to be working ok. But I haven't been using my local model long enough to really see the problems.
What's the consensus right now?