meta-harness-optimization
Meta-Harness Optimization
Skill by ara.so — Daily 2026 Skills collection.
Meta-Harness is a framework for automated end-to-end search over model harnesses — the scaffolding code around a fixed base model that controls what the model stores, retrieves, and sees while working on a task. Rather than hand-crafting prompts and memory systems, Meta-Harness proposes, evaluates, and evolves harness implementations automatically.
Paper: Meta-Harness: End-to-End Optimization of Model Harnesses
Homepage: https://yoonholee.com/meta-harness/
Core Concepts
| Term | Meaning |
|---|---|
| Harness | All code around the base model: memory, retrieval, prompt construction, tool use |
| Proposer Agent | LLM (e.g. Claude Code) that proposes new harness variants |
| Evaluator | Runs proposed harnesses on a benchmark, returns a score |
| Meta-Loop | Iterative propose → evaluate → feedback cycle |
Installation
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