coredipper/operon-morphogen-swarm
0
🧬 Operon Morphogen-Guided Swarm
A task-solving swarm where workers read morphogen gradients to adapt strategy -- failed workers update signals so successors avoid repeating mistakes, like cells coordinating via chemical gradients.
What to Try
- Select a preset from the Preset dropdown (e.g. "Gradient adaptation" or "Budget exhaustion") and click Run Swarm to see how workers adapt strategy based on morphogen signals.
- Adjust the Entropy threshold slider to control how quickly stuck workers are replaced, then compare how gradient signals evolve across worker generations.
- Try "Budget exhaustion" to see how declining ATP budget signals force workers to switch to cheaper strategies.
How It Works
The GradientOrchestrator updates morphogen signals (complexity, confidence, budget, error_rate) after each worker step. New workers read these gradients to choose their strategy, creating an adaptive feedback loop where the swarm learns from failures without explicit memory -- coordination emerges from the gradient field.