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@istuen/openxenon

v0.4.0

Published

OpenXenon — 工程师与 AI 协作工作台(OXN Engine 实施 L0-L3 四层架构与 IAP 范式,OXL = OpenXenon Language)

Readme

OpenXenon

English 简体中文

npm version License: MIT Node >= 18

什么是 OpenXenon

OpenXenon 是一款面向 AI Agent 的轻量级人机协作引擎。 它作为 Skills 注入现有的 AI Agent 工作台(如 Cursor、OpenCode、Codex、Claude Code)中。 它专注于将工程师的意图转化为 AI 可对齐的边界,并严格证明 AI 的工作结果。 OpenXenon 旨在为工程师与 AI 模型的协作,建立更好的信任基座。

为什么做 OpenXenon

在开始用 AI Agent 编程时,其表现令人惊艳。在出色完成工作之余,确实能让人感受到“数字助手”带来的美妙体验。 但当这位“数字助手”进入深度与长时间的持续开发时,情况开始变化:上下文漂移、擅改工作范围外的代码、甚至虚假完成等意外情况不断冒出。 在耗费大量精力为其纠正与返工后,我开始思考:“如何让 AI 模型能构建真正符合意图的软件工程?” 特别是“数字助手”会越来越聪明,但其底层的概率原理决定了意外状况依然会重复出现。 工程师如何信任 AI 的工作成果,同时又能让其充分释放能力?这正是 OpenXenon 探索的方向。

5 分钟上手

安装

npm install -g @istuen/openxenon

[!TIP] 仓库源码是 dist/cli.js 的开发基底,不是用户安装路径。普通用户请走 npm install -g 路径。

在项目注入 OpenXenon 空间与 Skills

# cd youer/project
oxn init --ai opencode

在 AI Agent 中调用

/oxn-proof 验证 dist/index.js 是否存在并导出 handler

AI Agent 集成

oxn init --ai <agent> 一步生成对应 Skill,AI 助手即可调用 oxn CLI。

| AI Agent | 初始化命令 | 状态 | | --------------- | ------------------------ | ------ | | OpenCode | oxn init --ai opencode | ✓ 支持 | | Claude Code | oxn init --ai claude | ✓ 支持 | | Codex | oxn init --ai codex | ✓ 支持 | | Cursor | oxn init --ai cursor | ✓ 支持 |

IAP 范式

| 轴 | 主导者 | 产出 | 锁定机制 | | ---------- | ------ | ---------------------- | ---------------------------------------- | | Intent | 工程师 | Domain / Blueprint | term / ban / invariant 锁定边界 | | Align | AI | Work / Task / Part | Blueprint slot 锁定路径 | | Proof | OXN | Proof(frozen.json) | Daemon 阻止假完成,无 --force 绕过 |

文档

路线图

| 版本 | 目标 | 状态 | |---|---|---| | v0.1.8 | IAP 范式 / 打造闭环 / 自举实践 | ✓ 已发布 npm | | v0.2.0 | Proof First / Infra Probe | 🔜 进行中 | | v0.3.0 | Intent 资产 / Daemon | 📋 规划中 |

详见 路线图。

参与贡献

欢迎通过 GitHub Issues 提交 bug 报告,功能建议与交流。

许可证

MIT