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DSH-Android

AI GitHub ReposAI Agent BuildersOpen source · Android

DSH-Android is a GitHub project enabling DeepSeek Harness to run on Android phones without root access or Termux. It integrates the engine directly into the app process, allowing for screen reading, system setting modifications, and timed/conditional automation. The project supports optional Shizuku integration, providing a flexible solution for advanced mobile automation and AI model execution on Android devices.

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DSH-Android is an open-source GitHub project designed to bring the capabilities of DeepSeek Harness to Android mobile devices. A key feature of this project is its ability to run DeepSeek Harness directly from an APK, eliminating the need for root access or the Termux environment. This makes it accessible to a broader range of Android users who want to leverage advanced AI functionalities on their smartphones without complex setup procedures.

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The project embeds the DeepSeek Harness engine directly within the application process, allowing for seamless integration and efficient operation. This architecture enables the application to perform various powerful actions on the Android device. Users can implement screen reading operations, allowing the AI to interact with and understand the content displayed on the screen. Furthermore, DSH-Android provides the capability to modify system settings, offering a high degree of control over the device's environment.

Automation is a core aspect of DSH-Android. It supports timed and conditional automation, enabling users to set up sophisticated workflows that execute based on specific schedules or predefined conditions. This can be particularly useful for tasks requiring repetitive actions or intelligent responses to device events. The project also offers optional integration with Shizuku, a service that allows applications to use ADB APIs without root, further enhancing its capabilities and flexibility for advanced users.

DSH-Android is structured with several key components, including an `app` module for the Gradle project, engine host, capability bridge, and automation tools. The `plugins` directory indicates support for a curated plugin index, suggesting an extensible architecture. The `native` component includes `libdshnode.so`, a Node executable for engine child processes, highlighting its robust backend for running AI tasks. The project is licensed under Apache-2.0, promoting open collaboration and use.

  • CategoryAI Agent Builders
  • Pricing ModelOpen source
  • DeploymentMobile app
  • PlatformsAndroid

  • Run DeepSeek Harness on Android without root

  • No Termux required for operation

  • Engine embedded directly in the Android app process

  • Screen reading capabilities for app interaction

  • Ability to modify system settings

  • Timed automation for scheduled tasks

  • Conditional automation based on predefined criteria

  • Optional Shizuku integration for enhanced control

  • Supports plugins and skill extensions

  • Apache-2.0 license for open-source use

  • Node executable for engine child processes

  • Curated plugin index (market format 1)

  1. Clone Repository: Obtain the DSH-Android source code from GitHub.

  2. Install Dependencies: Ensure all necessary Gradle and Node dependencies are resolved.

  3. Build APK: Compile the project to generate the DSH-Android APK.

  4. Install on Android: Transfer and install the APK on your Android device.

  5. Configure Settings: Adjust app and system settings as needed for your automation tasks.

  6. Deploy Automations: Implement timed or conditional automation scripts within the app.

  7. Utilize Shizuku (Optional): Enable Shizuku for advanced permissions if desired.

  • Mobile Automation
  • AI Model Deployment
  • System Control
  • Screen Interaction
  • Custom AI Agents

DSH-Android Reviews

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