“Unified benchmarking and standards. This unified framework shows that memory bottlenecks require solutions across all layers—from hardware optimization to cognitive architecture design. The most promising recent work (2025) focuses on unified systems that integrate multiple memory types to solve problems holistically rather than in isolation
I definitely agree here. I've seen a couple of design solutions showing multiple agents with the shared memory architecture and I'm pretty interested in seeing how that would perform.
Phenomenal synthesis of the entire memory ecosystem. The Layer 0 addition is crucial because most agentic frameworks totally ignore hardware constraints and then wonder why they cant scale. I've seen this firsthand where we buil an "infinite memory" system on paper that immediately hit the VRAM wall at 12K context. The PIM vs offloading tradeoff you lay out is exactly whre the next battleground is, especially once you factor in actual deployment costs per token.
Wow! Thank you! And esp Thank you for sharing that - reaching "infinite memory" limits...w hardware constraints, and PIM vs offloading trade-offs.. Indeed...
“Unified benchmarking and standards. This unified framework shows that memory bottlenecks require solutions across all layers—from hardware optimization to cognitive architecture design. The most promising recent work (2025) focuses on unified systems that integrate multiple memory types to solve problems holistically rather than in isolation
I definitely agree here. I've seen a couple of design solutions showing multiple agents with the shared memory architecture and I'm pretty interested in seeing how that would perform.
Yes indeed. Honestly can't keep up, but the little I am seeing makes this a must-watch space
it’s quite interesting:)
A lot of agent research quietly assumes infinite memory.
Hardware doesn’t.
As long as we design agents that ignore physical constraints,
we’re doing philosophy, not engineering.
The next real advantage won’t be “better reasoning.”
It will be memory systems designed to fail well.
Phenomenal synthesis of the entire memory ecosystem. The Layer 0 addition is crucial because most agentic frameworks totally ignore hardware constraints and then wonder why they cant scale. I've seen this firsthand where we buil an "infinite memory" system on paper that immediately hit the VRAM wall at 12K context. The PIM vs offloading tradeoff you lay out is exactly whre the next battleground is, especially once you factor in actual deployment costs per token.
Wow! Thank you! And esp Thank you for sharing that - reaching "infinite memory" limits...w hardware constraints, and PIM vs offloading trade-offs.. Indeed...