This project provides GPTBox, a third-party client for the OpenAI API, designed for mobile and desktop platforms. It aims to offer a more performant and feature-rich alternative to traditional web interfaces for interacting with GPT models, catering to users who frequently engage with AI chatbots.

How It Works

GPTBox leverages Flutter for cross-platform development, enabling a unified codebase for iOS, macOS, Android, Linux, and Windows. It supports various interaction modes including text, image, and audio, and integrates advanced features like loading chat history as context, AI-driven memory augmentation, HTTP link content viewing, and sharing chats as images. The architecture prioritizes performance and includes functionalities like WebDAV/iCloud sync and rendering of code blocks and LaTeX formulas.

Quick Start & Requirements

• Installation: Binaries available via GitHub Releases, CDN, or OpenAPK.
• Prerequisites: OpenAI API key required.
• Resources: No specific hardware requirements mentioned beyond standard desktop/mobile capabilities.
• Documentation: Official Documentation (linked within the README itself).

Highlighted Details

• Supports text, image, and audio chat interactions.
• Features include chat history context, AI-driven memories, and HTTP link content viewing.
• Offers synchronization via WebDAV/iCloud and backup/restore from ChatGPT Next Web.
• Includes localization for multiple languages and renders code blocks/LaTeX.

Maintenance & Community

The project is actively under development, with a call for contributions and feedback via GitHub issues and discussions. The developer also maintains other apps like "Server Box."

Licensing & Compatibility

• License: GPL v3.
• Compatibility: GPL v3 is a copyleft license, meaning derivative works must also be open-sourced under GPL v3. This may impose restrictions on linking with closed-source commercial applications.

Limitations & Caveats

The project is explicitly stated to be under development, with potential missing features and not recommended for production environments or critical data.