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univer-workspace

An open-source Office workspace where people and AI agents create, collaborate, and review together.

插件介绍

An open-source Office workspace where people and AI agents create, collaborate, and review together.

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项目详情摘要

Univer Workspace An open-source Office workspace where people and AI agents create, collaborate, and review together.** Univer Docs · Office SDK · CLI guide · Workspace Agent · Issues English | 简体中文 Univer Workspace is a deployable knowledge and collaboration workspace built on the Univer Office SDK. It brings Sheets, Docs, Slides, relational tables, canvases, and more into one shared runtime, with data and references staying connected across artifacts as the workspace changes. Choose the Workspace Browser for direct editing, Workspace Agent for document conversations and change review, or the CLI for automation. All three connect to the Workspace Server, which owns document storage and permissions. Agents work in isolated Worktrees, verify their changes, and hand the result to a person for review. Humans can continue editing and stay in control of what gets merged. Why Univer Workspace For people | For agents | For operators | ------------------------------------------------------- | ----------------------------------------------------------------- | -------------------------------------------------------------------- | Organize content in Personal and Team Spaces | Create and edit rich Office content through the Univer Facade API | Deploy one Browser and Server application | Co-edit Sheets, Docs, Slides, Bases, and Boards | Inspect data, render screenshots/PDFs, and run layout checks | Keep product, collaboration, and Blob data under application control | Share content with role- and node-aware access control, including anonymous viewing | Discover version-matched Skills and APIs offline | Integrate password, GitHub, Discord, or application OAuth login | Use Recent, Trash, file import/export, and review views | Work through multiple rounds without changing trunk | Ope

摘自项目公开 README,可能随上游仓库更新。

安装方法

建议先在测试 Profile 中安装,并检查权限、安装脚本和依赖。

npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dream-num/univer-workspace

使用前检查

  • 确认项目符合 DSH bundle 规范,而不只是相关仓库。
  • 阅读许可证和安装脚本,检查网络、文件及执行权限。
  • 备份配置,并确保插件能够安全卸载或回滚。