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🐼 Panda: Your Personal AI Phone Operator

You touch grass. I'll touch your glass.
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Demos:

5 task demo:

My.Movie.5.mp4

Panda is a proactive, on-device AI agent for Android that autonomously understands natural language commands and operates your phone's UI to achieve them. Inspired by the need to make modern technology more accessible, Panda acts as your personal operator, capable of handling complex, multi-step tasks across different applications.

Project Status: WIP License: MIT Kotlin Version

Core Capabilities

  • 🧠 Intelligent UI Automation: Panda sees the screen, understands the context of UI elements, and performs actions like tapping, swiping, and typing to navigate apps and complete tasks.
  • 📢 High Qaulity voice: Panda have high quality voice by GCS's Chirp
  • 💾 Persistent & Personalized local Memory: Panda remembers key facts about you and learned procedures across sessions. It learns your preferences, contacts, and habits to become a truly personalized assistant over time.

Architecture Overview

Panda is built on a sophisticated multi-agent system written entirely in Kotlin. This architecture separates responsibilities, allowing for more complex and reliable reasoning.

  • Eyes & Hands (The Actuator): The Android Accessibility Service serves as the agent's physical connection to the device, providing the low-level ability to read the screen element hierarchy and programmatically perform touch gestures.
  • The Brain (The LLM): All high-level reasoning, planning, and analysis are powered by LLM models. This is where decisions are made.
  • The Agent:
    • Operator: This is executor with Notepad.

🚀 Getting Started

Prerequisites

  • Android Studio (latest version recommended)
  • An Android device or emulator with API level 26+
  • Some Gemini keys, sample ENV
sdk.dir=
GEMINI_API_KEYS=

Installation

  1. Clone the repository:

    git clone [https://github.com/ayush0chaudhary/blurr.git](https://github.com/ayush0chaudhary/blurr.git)
    cd blurr
  2. Set up API Keys: This project uses a local.properties file to securely handle API keys. This file is included in .gitignore and should never be committed.

    • Create a file named local.properties in the root directory of the project.
    • Add your API keys to this file in the following format:
       sdk.dir=
       GEMINI_API_KEYS=
  3. Build & Run:

    • Open the project in Android Studio.
    • Let Gradle sync all the dependencies.
    • Run the app on your selected device or emulator.
  4. Enable Accessibility Service:

    • On the first run, the app will prompt you to grant Accessibility permission.
    • Click "Grant Access" and enable the "Panda" service in your phone's settings. This is required for the agent to see and control the screen.

🗺️ What's Next for Panda (Roadmap)

Panda is currently a powerful proof-of-concept, and the roadmap is focused on making it a truly indispensable assistant.

  • NOT UPDATED: List not updated

🤝 Contributing

Contributions are welcome! If you have ideas for new features or improvements, feel free to open an issue or submit a pull request.

📜 License

This project is licensed under the MIT License - see the LICENSE.md file for details.

A small video to help you understand what the project is about.

blurr_v1.mp4

Write you api key in in local.properties, more keys you use, better is the speed 😉

View logs in real-time

adb logcat | grep GeminiApi

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