memt-1.0 architecture breakdown gated deltanet-2, mixture-of-storage, and 66x smaller storage footprint for agent memory [D]

been digesting the details behind memt-1.0's memory-native architecture recently, and the engineering tradeoffs between full context kv caching and internalized parametric memory are pretty wild. instead of using append-only prompt stacking or external rag pipelines, memt-1.0 bakes memory directly into the model computation layer using gated deltanet-2 with a stable token-level memory update mechanism within each turn, combined with a mixture-of-storage (mos) layer to scale capacity. a few quick technical takeaways from the setup: internalizing procedural experience: standard agents retrieve p