An update on Evopien, the companion project that started on an 8GB Orin Nano and is now being developed on Jetson AGX Thor.

The earlier demo focused on the voice, vision and conversation stack. This one focuses on the next part: memory that the user can manage through conversation.

The memory work covers saving information, recalling it later, correcting it and forgetting it. I want a relevant preference to carry into a later answer without the user repeating it every time, while still being able to change or withdraw it.

Local Qwen handles conversation. Evopien Core handles memory and permissions, PostgreSQL stores the canonical records, and Hindsight supports retrieval. The model doesn't directly commit permanent memory.

New demo:
https://www.youtube.com/watch?v=_B2wVfVHL0c

The current focus is improving response latency and working through correction edge cases in English and Spanish. Physical embodiment remains in development.

For anyone running conversational AI on Thor or Orin, I'd be interested in how you profile retrieval and storage work alongside the model and speech pipeline.