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

memt-1.0 features a memory-native architecture that integrates memory directly into the model's computation layer, utilizing gated deltanet-2 and a mixture-of-storage (mos) layer. This approach aims to internalize state via architecture-level update layers, offering a stable token-level memory update mechanism and a 66x smaller storage footprint for agent memory. It contrasts with traditional methods like append-only prompt stacking or external RAG pipelines, addressing KV cache memory bottlenecks for long-horizon agents.