OpenRSI Index, launched by the OpenRSI Foundation, has drawn attention on X, where its announcement post has passed 133,000 views. The benchmark draws tasks from real open-source research projects such as Marin, Qwen and GPIC, handing agents existing models, code, data and training recipes to improve, spanning pretraining, post-training and image generation, with the site listing representative single runs at roughly 5,815 to 20,864 H100-hours. Evaluation uses an RSI-Harness that separates the agent's workspace from a clean judging environment, pausing and snapshotting the workspace for scoring; advisers include Luke Zettlemoyer, Karthik Narasimhan, Yejin Choi and Dawn Song, and a companion RSI-Anything pipeline lets researchers turn their own open problems into runnable RSI tasks.