Don't Train Your Model, Evolve Its Harness 🧬

Training is expensive. What if you upgraded the code around the model instead? Meet Meta-Harness. This Stanford framework uses AI, like Claude Code, to automatically rewrite and optimize your agent's scaffolding. It evolves the memory, retrieval, and context code for your specific task without touching the fixed base model. With over 1,500 stars, this compute-efficient approach massively boosts performance just by algorithmically evolving the harness.