We are super excited to release OpenCUA — the first from 0 to 1 computer-use agent foundation model framework and open-source SOTA model OpenCUA-32B, matching top proprietary models on OSWorld-Verified, with full infrastructure and data. 🔗 [Paper] arxiv.org/abs/2508.09123 📌 [Website] opencua.xlang.ai/ 🤖 [Models] huggingface.co/xlangai/OpenC… 📊[Data] huggingface.co/datasets/xlan… 💻 [Code] github.com/xlang-ai/OpenCUA 🌟 OpenCUA — comprehensive open-source framework for computer-use agents, including: 📊 AgentNet — first large-scale CUA dataset (3 systems, 200+ apps & sites, 22.6K trajectories) 🏆 OpenCUA model — open-source SOTA on OSWorld-Verified (34.8% avg success, outperforms OpenAI CUA) 🖥 AgentNetTool — cross-system computer-use task annotation tool 🏁 AgentNetBench — offline CUA benchmark for fast, reproducible evaluation 💡 Why OpenCUA? Proprietary CUAs like Claude or OpenAI CUA are impressive🤯 — but there’s no large-scale open desktop agent dataset or transparent pipeline. OpenCUA changes that by offering the full open-source stack 🛠: scalable cross-system data collection, effective data formulation, model training strategy, and reproducible evaluation — powering top open-source models including OpenCUA-7B and OpenCUA-32B that excel in GUI planning & grounding. Details of OpenCUA framework👇