Google's OO-Harness Paper Boosts Self-Evolving Agent Performance to 77.4%
Google Cloud AI Research and UIUC released the OO-Harness paper, which uses object-oriented design to evolve the agent harness (prompts, tools and scaffolding around the model), lifting performance from 61.6% to 77.41% with the same Gemini 3.5 Flash model.
2026-10-21 ~ 2026-10-22 · 3 related posts
- Episode 1: Google's Harness²: Recursive Self-Evolving Agent Framework(2026-10-14, 2 posts)
- Episode 2: Google Research Open-Sources Harness²: Self-Improving Agent Harnesses with Frozen Weights(2026-10-18, 13 posts)
- Episode 3: Google open-sources Harness² for recursive agent self-improvement(2026-10-20, 4 posts)
- Episode 4: Google's OO-Harness Paper Boosts Self-Evolving Agent Performance to 77.4%(2026-10-21, 3 posts)
- Google's OO-Harness uses object-oriented design for self-evolving agents, lifting AutomationBench from 61.6% to 77.4% — dair_ai · 2026-10-21
2 near-duplicate retellings: rohanpaul_ai · rohanpaul_ai