AI RESEARCH

Continual Harness: Online Adaptation for Self-Improving Foundation Agents

arXiv CS.AI

ArXi:2605.09998v1 Announce Type: cross Coding harnesses such as Claude Code and OpenHands wrap foundation models with tools, memory, and planning, but no equivalent exists for embodied agents' long-horizon partial-observability decision-making. We first report our Gemini Plays Pokemon (GPP) experiments. With iterative human-in-the-loop harness refinement, GPP became the first AI system to complete Pokemon Blue, Yellow Legacy on hard mode, and Crystal without a lost battle.