←Story detail

Trending story

English translation is being prepared.

1 reports1 story updatesUpdated Oct 19 09:54

Understand this story

Story summary

The English summary is being updated. See the reporting timeline below.

Latest development · Report

Alibaba Tongyi MAI-UI team open-sources general computer-use agent tech stack OpenGCUA

Developments

1 confirmed developments

  1. English translation is being prepared.

    Source:Shao Meng

Reports and discussion timeline

Browse reports and discussion by time. Their evidence levels remain distinct.

Oct 19

  1. Shao MengSelected

    Alibaba Tongyi MAI-UI team open-sources general computer-use agent tech stack OpenGCUA

    Alibaba Tongyi MAI-UI team open-sources the complete general computer-use agent tech stack OpenGCUA, including harness, cross-device SDK, native macOS app, evaluation trajectories, and reference agent implementation. Its core design is that code execution and decision-making shift from the harness to the model; the model takes screenshots on demand, writes Python programs with loops and conditional judgments to orchestrate GUI operations, API calls, and shell commands, and maintains its own todo list. In evaluations of 8 frontier models on OSWorld-v2, the average partial score rose from 45.3 to 64.9, and the average number of steps per task decreased by 53%; in real-machine macOS tests, under the same harness, Qwen3.8-Max's inference token consumption was 19.4 times that of GPT-6 Astra, completing 3 of 4 tasks.

Related stories

  1. Related storiesEnglish translation is being prepared.
  2. Related storiesLangAlpha v2.0 releases investment research system
  3. Related storiesLangAlpha releases v2.0 investment research system
  4. Related storiesdashi-ppt-skill provides a PPT skill package for AI Agents