# Tsinghua and Zhipu's HarnessPro lets agents rewrite their own harness to cut task costs

> Original title: Tsinghua and Zhipu's HarnessPro Lets Agents Rewrite Their Own Harness, Cutting Task Costs 26%

- Source: Pandaily
- Published: 2026-10-31T07:15:42.000Z
- Bad Influence: https://badinfluence.news/items/onl6sil9kith1dsywwbsc67aq
- Original: https://pandaily.com/tsinghua-zhipu-harnesspro-recursive-harness-self-improvement-pareto-cost-26-percent-terminal-bench-2

## Summary

Researchers from Tsinghua, Zhipu and partner institutions released HarnessPro, a method that lets an AI agent improve its own harness for performance and lower cost. On Terminal-Bench 2 with GPT-5.5 and Codex, the Heavy variant raised pass rate from 76.3 percent to 80.8 percent while cutting cost per task from $1.09 to $0.72 compared with the RHO method. The cost figures cover running tasks, not the search and evaluation behind them.