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项目能做什么

现代化的 Xposed 框架。
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)
<div align="center">

# Vector Framework

**A high-performance ART hooking framework for modern Android**

[![Build](https://img.shields.io/github/actions/workflow/status/JingMatrix/Vector/core.yml?branch=master&event=push&logo=github&label=Build)](https://github.com/JingMatrix/Vector/actions/workflows/core.yml?query=event%3Apush+branch%3Amaster+is%3Acompleted)
[![Crowdin](https://img.shields.io/badge/Localization-Crowdin-blueviolet?logo=Crowdin)](https://crowdin.com/project/lsposed_jingmatrix)
[![Download](https://img.shields.io/github/v/release/JingMatrix/Vector?color=orange&logoColor=orange&label=Download&logo=DocuSign)](https://github.com/JingMatrix/Vector/releases/latest)
[![Total](https://shields.io/github/downloads/JingMatrix/Vector/total?logo=Bookmeter&label=Counts&logoColor=yellow&color=yellow)](https://github.com/JingMatrix/Vector/releases)

</div>

---

### Introduction

Vector is a Zygisk module providing an ART hooking framework that maintains API consistency with the original Xposed. It is engineered on top of [LSPlant](https://github.com/JingMatrix/LSPlant) to deliver a stable, native-level instrumentation environment.

The framework allows modules to modify system and application behavior in-memory. Because no APK files are modified, changes are non-destructive, easily reversible via reboot, and compatible across various ROMs and Android versions.

---

### Compatibility

Vector supports devices running **Android 8.1 through Android 17 Beta**.

> [!TIP]
> This framework requires a recent installation of Magisk or KernelSU with Zygisk enabled.

---

### Installation

1. Download the latest release as a system module.
2. Install the module via your root manager (Magisk/KernelSU).
3. Ensure a Zygisk environment (e.g., [NeoZygisk](https://github.com/JingMatrix/NeoZygisk)).
4. Reboot the device.
5. Access management settings via the system notification.

---

### Downloads

| Channel | Source |
| :--- | :--- |
| **Stable Releases** | [GitHub Releases](https://github.com/JingMatrix/Vector/releases) |
| **Canary (CI) Builds** | [GitHub Actions](https://github.com/JingMatrix/Vector/actions/workflows/core.yml?query=branch%3Amaster) |

> [!NOTE]
> Debug builds are recommended for users encountering issues or performing troubleshooting.
> We encourage users to test CI builds to help us identify bugs and accelerate development.

> [!CAUTION]
> GitHub requires users to be **logged in** to download CI artifacts.
>
> The link above is filtered to show only `master` branch builds.
> Please note that builds from Pull Requests (PRs) are often unstable and potentially unsafe (depending on the authors); we recommend staying on the `master` branch for verified builds, unless you are asked to help our debugging sessions.

---

### Support and Contribution

If you encounter issues or wish to help improve the project, please refer to the resources below.

*   **Troubleshooting:** Consult the [guide](https://github.com/JingMatrix/Vector/issues/123) before
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 43.5 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 Vector 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 12 个 Release
社区活跃Star 13,126 / 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/JingMatrix/Vector.git
cd Vector
# 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。