All activity
SCP connects any LLM to any body without retraining.
The muscle layer runs at 60fps. The brain wakes only
when the muscle cannot handle something. A pattern
store learns from every brain decision and replays
them locally over time.
Result: brain calls dropped from 27 to 0 across 5
adapters including MuJoCo real physics simulation.
Pole balanced 64 loops. Brain went silent by loop 17.
npm install scp-protocol

SCP - Spatial Context ProtocolAny LLM. Anybody. Brain learns. Then goes silent.
siva rama (SRK0102)left a comment
I built this accidentally. I was training AnimTOON-3B, an open model that rigs SVG characters into Lottie animations. Tried to extend it to 3D rigging. Hit a wall. The model was trying to understand the world AND control a body simultaneously. No model is good at both. That question led to SCP. Three additions to MCP: 1. Body describes itself on connect. Swap body, swap JSON. 2. Body pushes...

SCP - Spatial Context ProtocolAny LLM. Anybody. Brain learns. Then goes silent.
siva rama (SRK0102)started a discussion
SCP reduces brain calls from 27 to 0 over sessions
What use case would benefit most from near-zero API costs after the learning phase?
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siva rama (SRK0102)left a comment
Hey Product Hunt 👋 We built AdHopper because outdoor ads haven’t changed in decades — same billboards, same guesses, same wasted spend. AdHopper lets brands run ads that actually move through the city and show up where people already are, with real impression tracking and clear performance data. No inflated numbers, no long-term contracts. This is our first launch, and we’re excited (and a...

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