Harness-R1 Enables Agents to Self-Repair from Failure Trajectories

A new method called Harness-R1 uses online reinforcement learning to train a 9B model that learns from failure trajectories. This approach successfully enables self-repair by automatically modifying the runtime code of a massive 397B target agent.

2026-08-05 ~ 2026-08-05 · 3 related posts

• Harness-R1: Agents Learn from Failure Trajectories to Patch Themselves — dair_ai · 2026-08-05
• Harness-R1: A 9B Model Outperforms 397B in Repairing Agents via Online RL — rohanpaul_ai · 2026-08-05
• Harness-R1: Teaching Agents to Self-Repair via Failure Trajectories — alex_verem · 2026-08-05