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awlevin/typesafe-computer-use

桌面自动化屏幕识别

这是一个在macOS上通过自然语言指令驱动电脑完成任务的工具,它使用屏幕识别和分类器来决定下一步操作,并以较低成本实现自动化。适合需要在桌面环境中执行重复或复杂操作的用户。

AI 中文解读 · 根据仓库描述与 README 生成 · 2026/10/14 14:11:10 · 查看原文

普通Python应用与服务
累计 Stars
1,256
当前热度
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仓库创建时间
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选用指南

AI 根据 README 整理 · 2026/10/14 14:11:10

使用方式

通过命令行使用,例如运行 `uv run clicker "目标描述"` 进行试运行,或添加 `--act` 参数执行实际操作。

查看 README 依据
Privacy & Security. Without the first, captures are wallpaper. Without the second, synthetic clicks are silently dropped, and `--act` refuses to start. ## First run ``` uv run clicker "open the Playground" # dry run: one step, prints what it would do uv run clicker "open the Playground" --act # drives the machine, up to 100 steps uv run clicker "log in" --act --steps 20 --delay 3 # longer and slower uv run clicker "log in" --act --handoffs 0 # the classifier alone: its first stop ends the run
部署要求

需要 macOS 14 或更高版本,Python 3.12 或更高版本,以及 uv 包管理器。需要 TypeSafe API 密钥,并授予终端屏幕录制和辅助功能权限。

查看 README 依据
[how a step works](docs/how-a-step-works.md). Every piece of reasoning the frontier model does for free has to be rebuilt here as deterministic state. ## Install macOS 14 or newer, Python 3.12 or newer, [uv](https://docs.astral.sh/uv/). Windows 10 and 11 are experimental; see [Windows](docs/windows.md). ``` git clone https://github.com/awlevin/typesafe-computer-use cd typesafe-computer-use uv sync cp .env.example .env # fill in the keys ``` | variable | required | purpose | |---|---|---| | `TYPESAFE_API_KEY` | yes | every decision |
| `ANTHROPIC_API_KEY` | no | `type_text`, writer-proposed URLs, and the final answer | | `CLICKER_EMAIL` | no | enables the `type_email` action | | `CLICKER_BROWSER` | no | defaults to `Google Chrome` | `.env` lives at the repo root and is read by every entry point (`clicker`, `clicker-inspect`). To run the writer on another model or endpoint (LM Studio, Ollama, any OpenAI-compatible server), see [writer endpoints](docs/writer-endpoints.md). Grant your terminal **Screen Recording** and **Accessibility** in System Settings >
已知限制

项目处于 Beta 阶段,正在积极开发中,可能存在粗糙之处,设置和行为可能在 0.x 版本间变化。

查看 README 依据
clicker "go to techcrunch and take me to the checkout page for the cheapest tickets to their next upcoming event" --act ``` > **Beta.** This is under heavy development. Expect rough edges, and expect settings and > behavior to change between 0.x [releases](https://github.com/awlevin/typesafe-computer-use/releases). > It drives your real mouse and keyboard, so start with a dry run. ## Why a classifier Frontier-model computer use is capable and expensive: every step ships a screenshot and waits several seconds for a plan. Most steps do not need a plan. They need one choice

README

正在加载 README…

收录信息

仓库创建时间
2026/9/17 01:48:45
首次达标收录
2026/10/9 12:20:58
统计更新时间
2026/10/22 18:40:34

按创建时长与累计 Stars 判断等级。首次达标收录后,即使未达当前门槛仍保留;累计 Stars 和仓库状态会定期更新。确认只有 README 及辅助文件的仓库会停止公开。

模型评估

普通加权总分 3.7 / 5

新颖度
3.9
实用价值
3.4
成熟度
4.0
实质含量
3.5

由 Jev 模型根据仓库描述与 README 评估,2026/10/10 13:55:27 生成。评分仅供参考,不是代码、安全或许可证审查;热度等级另按创建时长与累计 Stars 计算。

仓库信息

最近推送
2026/9/30 07:33:46
许可证标识
MIT
Fork 数
120
当前状态
未归档

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