5.3 和多 AI 客户端的关系

AI 客户端市场正在快速变化。ChatGPT、Claude、Gemini、Cursor、Copilot、Codex、OpenCode……每个客户端都有自己的优势，但没有一个能覆盖所有场景。

AI Context Workspace 的立场很简单：不绑定任何客户端。

因为上下文只是文件，任何能读文件的 AI 客户端都能用。不需要插件，不需要集成，不需要适配。

不同客户端的用法：

支持自定义指令的客户端（如 OpenCode、Codex）。 这些客户端允许你配置入口文件路径。你把 AGENTS.md 的路径配进去，客户端启动时自动读取，AI 自动理解工作区结构。这是最深的集成方式，几乎无感。

支持文件系统的客户端（如 Cursor、Copilot）。 这些客户端可以直接读取项目目录。你打开工作区目录，AI 能看到所有文件。你可以手动引导 AI 读取入口文件，效果一样好。

对话型客户端（如 ChatGPT、Claude Web）。 这些客户端不直接访问文件系统，但你可以把入口文件的内容粘贴到对话中。AI 读完路由表后，你可以按需把 background/ 或 conventions/ 的内容粘贴给它。虽然不如文件系统集成方便，但上下文结构还是一样有效。

不绑定客户端的好处：

首先，你不需要为了工作区换客户端。 你现在用 Cursor，可以继续用 Cursor。你明天想换 OpenCode，工作区不需要任何改动。

其次，你可以同时使用多个客户端。 同一个工作区，早上用 ChatGPT 做头脑风暴，下午用 Cursor 写代码，晚上用 Codex 做自动化。每个客户端读到的是同一个上下文，输出保持一致。

最后，你不用担心客户端倒闭。 今天最好的 AI 客户端，三年后可能就没了。但你的工作区只是文件，只要文件系统还在，上下文就还在。

"上下文优先于客户端"是这个设计的基本态度。

大多数人选择 AI 客户端时，考虑的是模型、功能、价格。这些当然重要，但更重要的是：这个客户端能不能让我的上下文持续积累？

如果一个客户端不能让你积累上下文，做得再好也是暂时的。下一次对话、下一次换工具，一切归零。而 AI Context Workspace 不会让你归零。不管你用什么客户端，上下文都在文件里，一直在那里。

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