A open source harness that was used with Qwen3.8 FN that QwenDev did a shout out to. Available now. From QwenDev via x https://x.com/QwenDevs/status/2117644199860601297 “Well, turns out Qwen3.8-Flash-Next can do more than work with software tools, it can operate real robots too. A group of Qwen developers from Tsinghua and UC Berkeley recently built uni-robot-agent, an open-source harness that connects general-purpose LLMs to robotic systems. It gives Qwen a way to interact with the physical world through tool calls without changing the model weights. With this harness, Qwen3.8-Flash-Next reached the performance level of some previously reported closed-model robotic agent systems. The average API cost was $1.09 per task, compared with $21.29 for GPT-6 Astra. On 19 real-world robot manipulation tasks. Without any robot-specific fine-tuning, Qwen achieved a slightly higher score than the fine-tuned π₀.₅ The harness is open-source if anyone wants to tinker with it.” From:Yuxin Zuo via X https://x.com/zuo_yuxin/status/2117635294115795134 “Introducing uni-robot-agent: a unified harness for Robot-Use Agents (RUAs), a first step toward RUA training and local deployment. We tested uni-robot-agent with Qwen3.8-Flash-Next running locally: On s, its score rose from 1.90 to 31.39, surpassing the RoboDojo Team’s score with GPT-6 Astra. On real-world tasks, it outscored fine-tuned π0.5 by 5.75 points and zero-shot Dream-1 by 10 npoints.”   submitted by   /u/Beneficial-Ad-8127 [link]   [comments]