Bonsai-27B-GGUF
lmstudio-community · 工具包
面向 LM Studio 的 27B Bonsai 模型 GGUF 转换版,含 3.80 GB 的 Q1_0 语言文件和 0.93 GB 的 BF16 视觉投影器。已测试文本、视觉和并行工具调用。

Enables AI agents to read and interact with desktop applications on macOS, Windows, and Linux using accessibility trees instead of screenshots. It provides a CLI and library for navigation, input, and state management.
agent-desktop 是一款 GitHub 上的开源项目,属于开发类,由 Mindket 上架。可免费获取。当前为第 1 版,最近更新于 。按它的 README 从 GitHub 安装。Mindket 的设置说明可在你的 Mindket 账户获取,以 zip 压缩包下载。
npm install -g agent-desktop agent-desktop status agent-desktop permissions --guide
Agent-desktop allows AI agents to operate desktop applications on macOS, Windows, and Linux. It reads the accessibility tree of an application and provides a reference for every element the agent can act upon.
This kit suits developers who want to build AI agents that interact with desktop software without using visual screenshots or pixel matching.
npm install -g agent-desktop agent-desktop status agent-desktop permissions --guide
You interact with the tool by running commands that trigger snapshots or specific actions like clicking or typing based on reference IDs found in those snapshots.
agent-desktop snapshot --app Finder -i agent-desktop click @s8f3k2p9:e8
If you are new to this, think of it as giving your AI a map of buttons and fields rather than a picture of the screen. You can start by running a simple snapshot of an open application to see how the system identifies the buttons and menus you see on your desktop.
Experts understand this tool interfaces directly with native accessibility APIs. It avoids the latency and inaccuracy of vision-based models by working with the object model of the UI.
Platform Requirements Platform | Version | API macOS | macOS 13 or later | AX API Windows | Windows 10 1809 or later | UI Automation Linux | Ubuntu 24.04 or later | AT-SPI
Enables AI agents to read and interact with desktop applications on macOS, Windows, and Linux using accessibility trees instead of screenshots. It provides a CLI and library for navigation, input, and state management.
Made by vercel-labs on GitHub. These notes are Minda's, written from its README; the project's own files and license are in its repository.
What it is: Agent-desktop allows AI agents to operate desktop applications on macOS, Windows, and Linux. It reads the accessibility tree of an application and provides a reference for every element the agent can act upon.
Who it suits: This kit suits developers who want to build AI agents that interact with desktop software without using visual screenshots or pixel matching.
Where to use it:
How to set it up:
npm install -g agent-desktop
agent-desktop status
agent-desktop permissions --guide
How to use it: You interact with the tool by running commands that trigger snapshots or specific actions like clicking or typing based on reference IDs found in those snapshots.
agent-desktop snapshot --app Finder -i
agent-desktop click @s8f3k2p9:e8
For newcomers and experts: If you are new to this, think of it as giving your AI a map of buttons and fields rather than a picture of the screen. You can start by running a simple snapshot of an open application to see how the system identifies the buttons and menus you see on your desktop.
Experts understand this tool interfaces directly with native accessibility APIs. It avoids the latency and inaccuracy of vision-based models by working with the object model of the UI.
Good to know:
Platform Requirements Platform | Version | API macOS | macOS 13 or later | AX API Windows | Windows 10 1809 or later | UI Automation Linux | Ubuntu 24.04 or later | AT-SPI
git clone https://github.com/vercel-labs/agent-desktop.git
Then follow the setup in its README. Nothing in this kit runs by itself.
README.md 3 KB
同一分类里与本产品共有主题最多的已上架 GitHub 项目。
| 产品 | 星标 | 活跃度 | 语言 | 许可证 | 最近更新 |
|---|---|---|---|---|---|
| agent-desktop 本页 | 19,705 | 活跃 | Rust | Apache-2.0 | |
| BAMA共有 computer-use · macos · ai-agents | 1,619 | 活跃 | Swift | MIT | |
| squirrelscan skills(网站审查技能包)共有 accessibility · mcp · ai-agents | 106 | 活跃 | TypeScript | MIT | |
| kanzo共有 cli · mcp · ai-agents | 1,045 | 活跃 | Rust | AGPL-3.0 | |
| Speedrun共有 cli · mcp · ai-agents | 100 | 活跃 | Odin | Apache-2.0 | |
| imbo共有 rust · mcp · ai-agents | 111 | 活跃 | Rust | Apache-2.0 |
Hacker News、Bluesky、X、Reddit、Facebook 和 YouTube 上提到这个项目的帖子和评论,来自每周一次的搜索和 Trendshift。它们不是 Mindket 写的,也未经核实,点开即可在原帖处阅读。
lmstudio-community · 工具包
面向 LM Studio 的 27B Bonsai 模型 GGUF 转换版,含 3.80 GB 的 Q1_0 语言文件和 0.93 GB 的 BF16 视觉投影器。已测试文本、视觉和并行工具调用。
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