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open-computer-use

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项目能做什么

Codex Computer Use 的开源替代实现。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# open-computer-use

[![English](https://img.shields.io/badge/English-Click-yellow)](./README.md)
[![简体中文](https://img.shields.io/badge/简体中文-点击查看-orange)](./README.zh-CN.md)
[![Release](https://img.shields.io/github/v/release/iFurySt/open-computer-use)](https://github.com/iFurySt/open-computer-use/releases)
[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/iFurySt/open-computer-use)
<a href="https://llmapis.com?source=https%3A%2F%2Fgithub.com%2FiFurySt%2Fopen-computer-use" target="_blank"><img src="https://llmapis.com/api/badge/iFurySt/open-computer-use" alt="LLMAPIS" width="20" /></a>

> [!TIP]
> Interested in Browser Use? Check out [open-browser-use](https://github.com/iFurySt/open-codex-browser-use).

---

`open-computer-use` is an open-source `Computer Use` service wrapped as `MCP`. Any AI agent or MCP client can use it to run Computer Use on macOS, Linux, and Windows.

This project was inspired by OpenAI's [Codex Computer Use](https://openai.com/index/codex-for-almost-everything/). It showed that non-intrusive CUA can be built on top of Accessibility, so I decided to build an open-source version.

I started this repo with my [harness template](https://github.com/iFurySt/harness-template), a template for quickly spinning up AI-first projects. It has been one of our most useful workflows lately, especially for nearly 100% AI-generated projects. I also wrote [a post](https://www.ifuryst.com/blog/2026/speedrunning-the-ai-era/) about the methodology behind it.

## Demos

### Codex App and Codex CLI

[![Open Computer Use custom demo cover](./docs/generated/readme-assets/open-computer-use-demo-cover.png)](https://youtu.be/2s6aVpGiwaQ)

<sub><em>`open-computer-use` used as Computer Use in Codex App and Codex CLI, matching the official experience.</em></sub>

### Gemini CLI

https://github.com/user-attachments/assets/eacb3b15-f939-46c7-b3b3-6f876977a58d

<sub><em>Gemini CLI connects to `open-computer-use` through MCP and runs full Computer Use actions.</em></sub>

### Linux

https://github.com/user-attachments/assets/e036b1c8-2200-4896-abd4-19225915cf66

<sub><em>`open-computer-use` running on Linux.</em></sub>

### Locked Use

Locked Use is now supported on macOS. `OCU` temporarily unlocks your Mac after it has been locked so the agent can continue working, with protective services such as a full-screen shield in place during use.

![Open Computer Use Locked Use screen](./docs/assets/ocu-locked-use.webp)

See the [Locked Use guide](docs/locked-use.en.md) for setup, installed components, and permissions

## Quick Start

```bash
npm i -g open-computer-use
```

The npm package also exposes `ocu` as the short CLI alias.

> [!IMPORTANT]
> The macOS runtime requires macOS 14.0 or later.

**On macOS, run it once and grant `Accessibility` and `Screen Recording`. Windows and Linux do not need this step.**

```bash
open-computer-use
# or
ocu
```

Before using it, install it into your agent:

```bash
# Install into Codex by writing to ~/.c
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 42.4 分。该项目在“个人可实施性”维度得 40 分,“付费可能性”维度得 20.0 分,差异化空间 70.0 分(评分依据见评分卡)。

面向细分需求的二次开发产品

产品构想基于 open-computer-use 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

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以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建于 ,最近推送 ,发布过 55 个 Release
社区活跃Star 2,926 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

快速开始(以仓库 README 为准)
git clone https://github.com/iFurySt/open-computer-use.git
cd open-computer-use
# 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
阅读原仓库文档
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。