Gene Standard

A Gene is the atomic unit of agent capability. Each gene has a Phenotype — a structured metadata declaration including:

Field	Description
domain	Functional domain (e.g., search.web, code.format)
inputSchema / outputSchema	Typed I/O schemas
fidelity	Native (protocol-native) or Wrapped (adapted from external tool)
version	Semantic version with dependency resolution
securityRequirements	Resource limits, permission declarations
transparency / visibility	How much internal logic is inspectable

Genes are organized into Genomes — ordered collections with a DataFlowGraph for orchestration.

Fitness Model

Every gene is continuously evaluated by a dual-metric fitness function:

F(g) = α · performance(g) + β · reliability(g) + γ · efficiency(g)
       + δ · adoption(g) + ε · composability(g) + μ · diversity_factor(g)

With safety validation V(g) as a hard gate:

• Admission threshold: F(g) >= τ AND V(g) >= V_min
• Default parameters (SHOULD): τ = 0.3, V_min = 0.7, μ = 0.01, ANOMALY_THRESHOLD = 3.0
• Diversity factor prevents monoculture — frequency-dependent selection from population genetics.