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NOASSERTION
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TypeScript
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2026-01-14
创建时间
2026-11-12
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项目能做什么

基于 opencode 构建的 Claude Cowork 开源替代方案。
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)
# OpenWork

<p align="center">
  <img src="./docs/images/model-picker.png" width="560" alt="The OpenWork composer with its model picker open: pinned, recent and per-provider models from Anthropic, OpenAI, Google and a local Ollama model" />
</p>

OpenWork is the free, open-source alternative to Claude Cowork and Codex: a desktop app for macOS, Windows, and Linux where AI agents do real work on your own files. It is built on [OpenCode](https://opencode.ai), works with any model — 50+ providers, your own API keys, or local models via Ollama — and lets teams share skills and MCP servers.

[**Download OpenWork**](https://openworklabs.com/download) · [GitHub releases](https://github.com/different-ai/openwork/releases) · [Docs](https://openworklabs.com/docs)

Read this in: [简体中文](./translated_readmes/README_ZH.md) · [繁體中文](./translated_readmes/README_ZH_hk.md) · [日本語](./translated_readmes/README_JA.md)

Add one OpenWork MCP to Codex, Claude Code, Cursor, or another compatible agent and reuse the same skills, MCPs, and connected services across your tools, teammates, and machines. Create something once, share it with coworkers or friends, or keep it for yourself.

The desktop app is there when you want a dedicated workspace, but it is not required. You can use OpenWork from the agent you already have. For larger organizations, the admin interface lets you publish capabilities, manage access, and configure shared or per-user connections.

<img width="1481" height="842" alt="OpenWork desktop app" src="https://github.com/user-attachments/assets/66a8dd9b-5260-488c-957d-e54331e78c1c" />

## Why OpenWork instead of Claude Cowork

- **Free and open source.** The desktop app is MIT-licensed; no OpenWork account is required to use it locally.
- **Any model.** Bring your own API key, sign in with ChatGPT, or run local models through Ollama or any OpenAI-compatible server. See [Add a custom LLM](https://openworklabs.com/docs/start-here/connect-your-stack/add-a-custom-llm).
- **Runs on macOS, Windows, and Linux** as a desktop app — not a CLI.
- **Your files stay local.** Cloud is optional.
- **Share skills and MCP servers with your team.** See [Share skills with your team](https://openworklabs.com/docs/start-here/do-work-with-it/share-your-setup) and [Shared MCP connections](https://openworklabs.com/docs/cloud/share-with-your-team/shared-mcp-connections).
- **Self-host** the team control plane on your own infrastructure. See [Self-host](https://openworklabs.com/docs/start-here/self-host).
- **Bring your Cowork setup.** Skills, Claude-compatible plugins, and MCP servers carry over. See [Migrate from Claude Cowork](https://openworklabs.com/docs/start-here/migrate-from-claude-cowork).

## Install with your AI agent

Already use an AI agent? Copy this prompt and paste it into Claude Code, Cursor, Codex, ChatGPT, or any agent that can run commands on your computer.

```text
Install OpenWork on my computer, set up my first workspace, and open it ready to use. Follow the 
阅读完整原文

项目深度分析 规则生成(AI 未配置)

综合评分 59.4 分。该项目在“个人可实施性”维度得 57 分,“付费可能性”维度得 40.0 分,差异化空间 70.0 分(评分依据见评分卡)。

将 openwork 改造为垂直场景 SaaS

产品构想保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。
目标用户有该需求的中小团队 / 独立站长
难度/周期中 · 2~4 周(MVP)
收费模式订阅制(如 ¥29~99/月)
竞争风险需验证付费意愿;注意许可证合规
依据 数据支持的判断:许可证与关键词显示存在商用与付费场景

面向细分需求的二次开发产品

产品构想基于 openwork 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

封装为在线小工具或 API 服务

产品构想把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。
目标用户搜索引擎带来的长尾用户
难度/周期低 · 1~3 周
收费模式免费引流 + 增值功能 / API 按量计费
竞争风险同质化竞争,需做好 SEO
依据 AI 推测:基于技术栈与部署特征的判断
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 2026-01-14,近 30 天仍在推送,发布过 100 个 Release
社区活跃Star 24,495 / Fork 2,486 / Issue 422(数据支持,可自行核实)
许可证NOASSERTION
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

此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。