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User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)

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🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

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✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

用 Express 和 Vue3 搭建的 ChatGPT 演示网页

Minimal web UI for ChatGPT.

GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

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The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5

Quick Overview

Chatbox is an open-source desktop application that provides a user-friendly interface for interacting with various AI models, including ChatGPT and Claude. It offers a seamless chatbot experience with features like conversation management, prompt library, and model switching.

Pros

  • Cross-platform compatibility (Windows, macOS, Linux)
  • Support for multiple AI models and APIs
  • User-friendly interface with conversation management
  • Customizable settings and prompt library

Cons

  • Requires API keys for some models, which may involve costs
  • Limited advanced features compared to official web interfaces
  • Potential for slower updates compared to rapidly evolving AI models
  • May have occasional stability issues as an open-source project

Getting Started

  1. Download the latest release from the GitHub releases page.
  2. Install the application on your system.
  3. Launch Chatbox and navigate to the settings.
  4. Enter your API keys for the desired AI models (e.g., OpenAI API key for ChatGPT).
  5. Start a new conversation and select your preferred AI model.
  6. Begin chatting with the AI assistant.

Note: Chatbox is a desktop application, not a code library, so there are no code examples or quick start code snippets to provide.

Competitor Comparisons

53,720

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

Pros of ChatGPT

  • More active development with frequent updates and new features
  • Supports multiple platforms (Windows, macOS, Linux)
  • Offers a wider range of customization options and settings

Cons of ChatGPT

  • Larger application size and potentially higher resource usage
  • More complex setup process for some features
  • May have a steeper learning curve for new users

Code Comparison

ChatGPT:

const tray = new Tray(trayIcon);
tray.setToolTip('ChatGPT');
tray.setContextMenu(Menu.buildFromTemplate(trayMenuTemplate));

Chatbox:

const tray = new Tray(iconPath);
tray.setToolTip('Chatbox');
tray.on('click', () => {
  mainWindow.show();
});

Both projects use Electron for creating desktop applications, but ChatGPT implements a more extensive tray menu system, while Chatbox opts for a simpler approach with a single click action.

ChatGPT generally offers more features and customization options, making it suitable for power users who want granular control over their ChatGPT experience. Chatbox, on the other hand, provides a more streamlined and lightweight solution that may be preferable for users seeking a simpler interface with lower resource requirements.

83,050

✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Pros of NextChat

  • More active development with frequent updates and contributions
  • Supports multiple languages and has a more internationalized interface
  • Offers a wider range of customization options for chat interactions

Cons of NextChat

  • Larger codebase, potentially more complex to understand and maintain
  • Heavier reliance on external dependencies and frameworks

Code Comparison

NextChat (React-based):

const Chat: React.FC<{ messages: Message[] }> = ({ messages }) => {
  return (
    <div className="chat-container">
      {messages.map((message, index) => (
        <ChatMessage key={index} message={message} />
      ))}
    </div>
  );
};

Chatbox (Electron-based):

const renderMessages = () => {
  return messages.map((message, index) => (
    <div key={index} className={`message ${message.type}`}>
      {message.content}
    </div>
  ));
};

Both projects aim to provide chat interfaces for AI interactions, but they differ in their implementation approaches. NextChat uses React and offers a more web-oriented solution, while Chatbox is built with Electron for desktop applications. NextChat's codebase suggests a more component-based structure, whereas Chatbox appears to have a simpler, more direct rendering approach. The choice between them would depend on the specific use case and deployment requirements.

用 Express 和 Vue3 搭建的 ChatGPT 演示网页

Pros of chatgpt-web

  • Multi-language support with i18n integration
  • Server-side implementation for enhanced security
  • Clean and modern UI design

Cons of chatgpt-web

  • Less customization options for appearance
  • Fewer built-in AI model integrations
  • Limited offline functionality

Code Comparison

chatgpt-web:

import { defineConfig, loadEnv } from 'vite'
import path from 'path'
import vue from '@vitejs/plugin-vue'
import { VitePWA } from 'vite-plugin-pwa'

Chatbox:

import { app, BrowserWindow, ipcMain, dialog } from 'electron'
import path from 'path'
import { electronApp, optimizer, is } from '@electron-toolkit/utils'
import icon from '../../resources/icon.png?asset'

The code snippets show that chatgpt-web uses Vite for building the frontend, while Chatbox utilizes Electron for creating a desktop application. This difference in frameworks reflects their distinct approaches: chatgpt-web focuses on web-based deployment, while Chatbox aims for cross-platform desktop compatibility.

chatgpt-web's use of Vue.js and PWA capabilities suggests a more modern web development approach, potentially offering better performance and offline capabilities in browser environments. Conversely, Chatbox's Electron-based structure provides deeper integration with the operating system and potentially more robust offline functionality.

Minimal web UI for ChatGPT.

Pros of chatgpt-demo

  • Lightweight and easy to deploy
  • Supports multiple languages out of the box
  • Clean and intuitive user interface

Cons of chatgpt-demo

  • Limited customization options
  • Lacks advanced features like conversation management
  • No built-in support for multiple AI models

Code Comparison

chatgpt-demo:

export async function generateAnswer(
  messages: Message[],
  functions: Function[]
): Promise<{ answer: string; functionCall: any }> {
  // Implementation details
}

Chatbox:

export async function generateChatCompletion(
  messages: ChatMessage[],
  options: ChatCompletionOptions
): Promise<ChatCompletionResponse> {
  // Implementation details
}

The code comparison shows that both projects use TypeScript and have similar function signatures for generating responses. However, Chatbox's implementation appears to be more flexible with additional options and a more specific return type.

chatgpt-demo is a simpler, more straightforward implementation focused on quick deployment and ease of use. It's ideal for users who want a basic ChatGPT interface without complex features.

Chatbox, on the other hand, offers more advanced features and customization options. It supports multiple AI models and provides conversation management, making it suitable for users who need a more robust and flexible chatbot solution.

Both projects have their merits, and the choice between them depends on the specific requirements and complexity of the intended use case.

GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

Pros of ChuanhuChatGPT

  • Supports multiple language models, including GPT-3.5, GPT-4, and Claude
  • Offers a web-based interface for easier access and deployment
  • Includes features like conversation history and API key management

Cons of ChuanhuChatGPT

  • Less focus on privacy and local processing compared to Chatbox
  • May have a steeper learning curve for non-technical users
  • Requires more setup and configuration for advanced features

Code Comparison

Chatbox (JavaScript):

const chatbox = new Chatbox({
  apiKey: 'your-api-key',
  model: 'gpt-3.5-turbo'
});

chatbox.sendMessage('Hello, how are you?');

ChuanhuChatGPT (Python):

from chuanhuchatgpt import ChuanhuChatGPT

chatbot = ChuanhuChatGPT(api_key='your-api-key')
response = chatbot.chat('Hello, how are you?')
print(response)

Both repositories provide chat interfaces for interacting with language models, but they differ in their implementation and target audience. Chatbox focuses on a desktop application with privacy features, while ChuanhuChatGPT offers a web-based solution with support for multiple models. The code examples demonstrate the basic usage of each library, highlighting the different programming languages and initialization processes.

64,118

The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5

Pros of gpt4free

  • Offers free access to GPT-4 and other AI models
  • Supports multiple providers and APIs
  • More flexible and customizable for developers

Cons of gpt4free

  • Less user-friendly interface for non-technical users
  • May require more setup and configuration
  • Potential legal and ethical concerns regarding API usage

Code Comparison

gpt4free:

from g4f import ChatCompletion

response = ChatCompletion.create(
    model="gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Hello, how are you?"}]
)
print(response)

Chatbox:

import { ChatboxAI } from 'chatbox-ai';

const chatbox = new ChatboxAI();
const response = await chatbox.sendMessage('Hello, how are you?');
console.log(response);

Summary

gpt4free is a more developer-oriented solution, offering free access to various AI models and APIs. It provides greater flexibility and customization options but may require more technical expertise to set up and use effectively. Chatbox, on the other hand, appears to be more user-friendly and easier to integrate, but potentially with fewer advanced features and customization options. The choice between the two depends on the specific needs of the project and the technical skills of the user.

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README

English | 简体中文

This is the repository for the Chatbox Community Edition, open-sourced under the GPLv3 license.

Chatbox is going open-source Again!

We regularly sync code from the pro repo to this repo, and vice versa.

Download for Desktop

Windows MacOS Linux

Setup.exe

Intel

Apple Silicon

AppImage

Download for iOS/Android

.APK

For more information: chatboxai.app


Chatbox (Community Edition)

Your Ultimate AI Copilot on the Desktop.
Chatbox is a desktop client for ChatGPT, Claude and other LLMs, available on Windows, Mac, Linux

macOS Windows Linux Downloads Twitter

Chatbox - Better UI & Desktop App for ChatGPT, Claude and other LLMs. | Product Hunt

Features

  • Local Data Storage
    :floppy_disk: Your data remains on your device, ensuring it never gets lost and maintains your privacy.

  • No-Deployment Installation Packages
    :package: Get started quickly with downloadable installation packages. No complex setup necessary!

  • Support for Multiple LLM Providers
    :gear: Seamlessly integrate with a variety of cutting-edge language models:

    • OpenAI (ChatGPT)
    • Azure OpenAI
    • Claude
    • Google Gemini Pro
    • Ollama (enable access to local models like llama2, Mistral, Mixtral, codellama, vicuna, yi, and solar)
    • ChatGLM-6B
  • Image Generation with Dall-E-3
    :art: Create the images of your imagination with Dall-E-3.

  • Enhanced Prompting
    :speech_balloon: Advanced prompting features to refine and focus your queries for better responses.

  • Keyboard Shortcuts
    :keyboard: Stay productive with shortcuts that speed up your workflow.

  • Markdown, Latex & Code Highlighting
    :scroll: Generate messages with the full power of Markdown and Latex formatting, coupled with syntax highlighting for various programming languages, enhancing readability and presentation.

  • Prompt Library & Message Quoting
    :books: Save and organize prompts for reuse, and quote messages for context in discussions.

  • Streaming Reply
    :arrow_forward: Provide rapid responses to your interactions with immediate, progressive replies.

  • Ergonomic UI & Dark Theme
    :new_moon: A user-friendly interface with a night mode option for reduced eye strain during extended use.

  • Team Collaboration
    :busts_in_silhouette: Collaborate with ease and share OpenAI API resources among your team. Learn More

  • Cross-Platform Availability
    :computer: Chatbox is ready for Windows, Mac, Linux users.

  • Access Anywhere with the Web Version
    :globe_with_meridians: Use the web application on any device with a browser, anywhere.

  • iOS & Android
    :phone: Use the mobile applications that will bring this power to your fingertips on the go.

  • Multilingual Support
    :earth_americas: Catering to a global audience by offering support in multiple languages:

    • English
    • 简体中文 (Simplified Chinese)
    • 繁體中文 (Traditional Chinese)
    • 日本語 (Japanese)
    • 한국어 (Korean)
    • Français (French)
    • Deutsch (German)
    • Русский (Russian)
    • Español (Spanish)
  • And More...
    :sparkles: Constantly enhancing the experience with new features!

FAQ

Why I made Chatbox?

I developed Chatbox initially because I was debugging some prompts and found myself in need of a simple and easy-to-use prompt and API debugging tool. I thought there might be more people who needed such a tool, so I open-sourced it.

At first, I didn't know that it would be so popular. I listened to the feedback from the open-source community and continued to develop and improve it. Now, it has become a very useful AI desktop application. There are many users who love Chatbox, and they not only use it for developing and debugging prompts, but also for daily chatting, and even to do some more interesting things like using well-designed prompts to make AI play various professional roles to assist them in everyday work...

How to Contribute

Any form of contribution is welcome, including but not limited to:

  • Submitting issues
  • Submitting pull requests
  • Submitting feature requests
  • Submitting bug reports
  • Submitting documentation revisions
  • Submitting translations
  • Submitting any other forms of contribution

Build Instructions

  1. Clone the repository from Github
git clone https://github.com/Bin-Huang/chatbox.git
  1. Install the required dependencies
npm install
  1. Start the application (in development mode)
npm run dev
  1. Build the application, package the installer for current platform
npm run package
  1. Build the application, package the installer for all platforms
npm run package:all

Star History

Star History Chart

Contact

Twitter | Email

License

LICENSE