cyberneticlibrary

Evolve multi-agent game-playing harness

codeclash-decomp-evolutionworkflowsetup L32
prakashkagitha/evolving-agent-harnesses
What it does

Evolve multi-agent harness

Best for

Evolving multi-agent harnesses via selection pressure with verified fitness gates and ablation analysis.

Inputs
  • · {args: workflow_config}
  • · {ccroot: path, seed, generations}
Requires
  • · Python3
Failure modes
  • · verification gate rejects all changes
  • · output fails JSON schema validation
Trust signals
  • · Deterministic or bit-identical verification criteria
  • · Multi-lens review (orthogonal expert panels)
  • · Explicit JSON schemas with required fields