TensorBlock Studio

A lightweight, open, and extensible multi-LLM interaction studio.
Part of the TensorBlock ecosystem — built to empower anyone to build with AI from anywhere, not just use it.

What Makes TensorBlock Studio Different?

Forget generic AI chat tools. TensorBlock Studio is a new kind of workspace — one that's lightweight, developer-friendly, and yet welcoming to beginners. It's designed around control, clarity, and creation.

Features

🎨 Interaction & Creation

• Image generation with support for multiple providers
• Translation scenarios for multilingual workflows
• Framer Motion UI transitions for smooth experience

🧠 Intelligence & Memory

• File memory store: attach files and persist context across chats
• Conversational agents powered by multiple LLM providers
• Web search integration for real-time answers

⚙️ User Experience & Customization

• Configurable startup settings
• Multi-language UI and prompt support
• Local-first data storage for speed and privacy
• Beginner-friendly interface

🎯Short-Term Roadmap

• Sharing and exports
• Collection of knowledge pieces
• Mobile-friendly UI (PWA or native shell)
• Plugin system for extensions and custom logic
• More themes

🔩Tech Stack

• Framework: Typescript + Node.js 18 + React + Vite + Electron
• UI: Tailwind CSS
• LLM Routing: @ai/sdk
• Storage: IndexedDB / localStorage
• i18n: i18next

⭐Getting Started

Installation

1. Clone the repository:

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   git clone https://github.com/TensorBlock/TensorBlock-Studio.git tensorblock-studio
   cd tensorblock-studio
   

2. Install dependencies:

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   npm install
   

Development

Run the application in development mode:

npm run dev

Building for Production

Package the application for your current platform:

npm run electron:build:current_platform

📄 Documentation

Comprehensive documentation is available in the docs directory:

• Documentation Index - Main documentation entry point with links to all sections
• Overview - System architecture and high-level application design

🤝Contributing

We welcome contributions from the community!

Contributing Steps

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Run tests to ensure everything works
5. Commit your changes (git commit -m 'Add amazing feature')
6. Push to your branch (git push origin feature/amazing-feature)
7. Open a Pull Request

Development Guidelines

• Follow the Code Style Guide
• Write tests for new features
• Update documentation for any changes
• See Contributing Guide for detailed guidelines

📄License

Please check License