Watch swarm intelligence form in real time.
An inspectable model of how fragmented onchain signals become coordinated swarm intelligence — three deterministic phases, replayable at will. Hover the simulator to locally excite nodes. Use the phase tabs to freeze the view.
Phase 01
Fragmented impulses
Unordered signals arrive across narrow dimensions — trades, liquidity shifts, wallet flow, social acceleration.
Phase 02
Adaptive weighting
Useful patterns reinforce. Weak logic suppresses. Edge strengths shift as feedback accumulates.
Phase 03
Emergent consensus
Local signals align across time and meaning. The network crosses a threshold and higher-order insight crystallizes.
Methodology
A deterministic model of emergence
The lab visualizes a minimal but typed simulation: specialized nodes evaluate signal impact, edge weights adjust under feedback, and a convergence function decides when local agreement becomes global insight. Every run is reproducible.
MVP boundaries
What the simulator is — and isn't
This is a protocol-facing MVP. It does not ingest live chain state, does not hold persistent swarm memory, and is not production-calibrated. The point is to make the thesis inspectable in code before the full protocol exists.
Inspect the engine behind the visual.
The lab is backed by typed protocol primitives, deterministic scenarios, and a public simulation API. Open the developers surface or the repository to dig in.