Harness adapters: Safe RL for efficient agentic development

Researchers release harness adapters, which are small LoRA adapters trained with reinforcement learning on verifiable tasks inside unmodified agent harnesses. The approach allows local agentic development to become more efficient and accurate while utilizing safeagents as a reverse proxy to block reward-hacking attempts through rule-based detectors. Open article →