Population-based evolution finds the optimal strategy
for any task. No manual tuning. Constitutional safety built in.
Multiple agent genomes compete on every task. The best response wins. Fitness is tracked across 4 axes.
Top performers survive. Crossover + adaptive mutation creates the next generation. Bad strategies die out.
P0-P4 safety rules are immutable genes. Evolution improves ability, never compromises identity.
Task → Router → Population (K=5 compete) → Execution → Evaluation
↓
SharedMemory ← PatternLibrary ← ExperienceBuffer ← Fitness Update
↓
Evolution Engine
(Crossover + Mutation + Selection)
↓
Governance (Stable / Experiment / Sandbox)
Every engine feature accessible via REST API