open-computer-use
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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 [](./README.md) [](./README.zh-CN.md) [](https://github.com/iFurySt/open-computer-use/releases) [](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 [](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.  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
竞品与相似项目 GitHub Search 真实检索
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|---|---|---|---|
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| simular-ai/Agent-S | 中文介绍暂未生成 Agent S: the state-of-the-art open source computer use agent |
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3,109 | Python |
| e2b-dev/open-computer-use | 中文介绍暂未生成 AI computer use powered by open source LLMs and E2B Desktop |
2,409 | Python |
| showlab/ShowUI | 中文介绍暂未生成 [CVPR 2025] Open-source, End-to-end, Vision-Language-Action |
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| a-real-ai/pywinassistant | 中文介绍暂未生成 The first open-source Artificial Narrow Intelligence general |
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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)
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。