⚠️ Research prototype, not a validated perception system. The scripted scenarios below (car/box, cup/ball) are pre-recorded and always render correctly — they demonstrate the memory mechanism, not live detection. Live camera mode is a different story: the underlying detector was trained on a narrow, mostly-synthetic dataset and frequently misses or misclassifies real objects, including the trained toy car and box themselves. Treat every live-camera answer as a demo of the persistence mechanism working (or not) on top of imperfect, sometimes-wrong perception — not as evidence of general-purpose object recognition.
Starting private session…
Persistent state — what ManifoldFlow currently remembers
No entities remembered yet.
Observed events
Camera access is opt-in. Frames are resized, processed in memory, and are not retained. No microphone is requested. Sessions expire after ten minutes.
Ask the world
visual — answered from what the camera has seenrecalled — answered from something you said earlier this session
Retrieved evidence
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