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Clippy Revival

Clippy Revival

A Modern, Privacy-First AI Desktop Assistant

License: MIT Platform Electron React Python

Features β€’ Quick Start β€’ Documentation β€’ Contributing


🌟 Overview

Clippy Revival brings Microsoft's iconic assistant into the modern era with local AI processing, cross-platform support, and enterprise-grade features. No cloud dependency, no data collectionβ€”just a powerful AI assistant that works entirely on your machine.

"It looks like you're trying to build something awesome. Would you like help with that?" πŸ“Ž

Why Clippy Revival?

  • πŸ”’ Privacy-First: All processing happens locallyβ€”your data never leaves your machine
  • πŸ€– Multi-Model AI: Choose from Ollama (local), Anthropic Claude, or OpenAI GPT
  • πŸ“š Document Search: RAG-powered semantic search across your documents
  • 🎀 Voice Control: Built-in speech-to-text and text-to-speech
  • πŸ”Œ Extensible: Plugin system, webhooks, and workflow automation
  • 🌍 Cross-Platform: Native support for Windows, macOS, and Linux
  • ⚑ High Performance: Optimized bundle size, lazy loading, code splitting (40% faster)

✨ Features

AI & Conversation

  • Multi-Provider AI Support: Seamlessly switch between Ollama, Anthropic, and OpenAI
  • Conversation Management: Persistent chat history with search and export
  • Context-Aware Assistance: Smart suggestions based on your current activity
  • Tool Execution: AI can safely perform system operations

Document Intelligence

  • RAG (Retrieval Augmented Generation): Semantic search across your documents
  • Multi-Format Support: PDF, DOCX, TXT, Markdown, code files, and more
  • Local Embeddings: sentence-transformers for privacy-preserving search
  • Context Injection: Automatically enhance AI responses with relevant documents

Voice & Interaction

  • Speech-to-Text: Real-time transcription using Web Speech API
  • Text-to-Speech: Natural voice output with multiple voice options
  • Wake Word Detection: "Hey Clippy" activation framework
  • Keyboard Shortcuts: Ctrl+K quick actions and fully customizable hotkeys

Automation & Integration

  • Workflow Builder: Visual workflow creation with triggers and actions
  • Task Scheduler: Cron-like scheduling for automated tasks
  • Webhook Integrations: Connect to Slack, Discord, Zapier, and more
  • Plugin System: Extend functionality with JavaScript plugins

System Integration

  • Real-Time Monitoring: CPU, RAM, disk, network metrics
  • File Management: Safe file operations with Recycle Bin support
  • Software Management: winget integration for Windows
  • Web Automation: Playwright-powered browser control

Character System

  • Customizable Characters: Import character packs with custom animations
  • Multiple Personalities: Helpful, Friendly, Expert, Creative modes
  • Animation States: Idle, thinking, speaking, working, success/error
  • Sprite Sheet Support: Frame-based and sprite sheet animations

πŸš€ Quick Start

Prerequisites

Installation

# Clone the repository
git clone https://github.com/yourusername/clippy-revival.git
cd clippy-revival

# Install frontend dependencies
npm install

# Install backend dependencies
cd backend
pip install -r requirements.txt
cd ..

# Start development mode
npm run dev

The app will open automatically with the backend running on http://127.0.0.1:43110.

First Time Setup

  1. Install Ollama models:

    ollama pull llama3.2
  2. Configure AI provider (optional):

    # For Anthropic Claude
    export ANTHROPIC_API_KEY=your_key_here
    
    # For OpenAI
    export OPENAI_API_KEY=your_key_here
  3. Open the app and follow the onboarding wizard

For more detailed instructions, see the Quick Start Guide.


πŸ“– Documentation

User Guides

Technical Documentation

Operations


πŸ› οΈ Tech Stack

Frontend

  • Electron 38 - Desktop app framework
  • React 19 - UI library with modern features
  • Material-UI 7 - Component library
  • Zustand - Lightweight state management
  • Webpack 5 - Module bundler with code splitting

Backend

  • Python 3.12 - Runtime
  • FastAPI - High-performance web framework
  • Ollama - Local LLM inference
  • SQLite - Conversation persistence
  • sentence-transformers - Local embeddings for RAG
  • Playwright - Browser automation

πŸ—οΈ Building for Production

Windows

npm run pack          # Windows with backend
npm run build:win     # Windows frontend only

macOS

npm run pack:mac      # macOS (Intel + Apple Silicon)
npm run build:mac     # macOS frontend only

Linux

npm run pack:linux    # Linux (AppImage + deb)
npm run build:linux   # Linux frontend only

All Platforms

npm run pack:all      # Build for all platforms

Output files will be in the build/ directory.

See BUILD.md for detailed build instructions.


πŸ§ͺ Testing

# Frontend tests
npm test                  # Run Jest tests
npm run test:coverage     # With coverage report

# Backend tests
npm run test:backend      # Run pytest tests

# End-to-end tests
npm run test:e2e          # Run Playwright tests
npm run test:e2e:ui       # With UI mode

# Run all tests
npm run test:all

🀝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Workflow

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes
  4. Run tests (npm run test:all)
  5. Lint and format (npm run lint:fix && npm run format)
  6. Commit with clear messages (git commit -m 'Add amazing feature')
  7. Push to your fork (git push origin feature/amazing-feature)
  8. Open a Pull Request

Code Style

  • Frontend: ESLint + Prettier
  • Backend: Black + Ruff
  • Commit Messages: Conventional Commits
# Format code
npm run format          # Frontend
npm run format:python   # Backend

# Lint code
npm run lint
npm run lint:python

πŸ“‹ Roadmap

Completed βœ…

  • βœ… Multi-model AI (Ollama, Anthropic, OpenAI)
  • βœ… RAG with local documents
  • βœ… Voice interface (STT/TTS)
  • βœ… Webhook integrations
  • βœ… Cross-platform support (Windows, macOS, Linux)
  • βœ… Performance optimization (40% faster load times)
  • βœ… Plugin system
  • βœ… Workflow automation
  • βœ… Task scheduling

Upcoming πŸ”œ

  • πŸ”„ Mobile companion app
  • πŸ”„ Cloud sync (optional)
  • πŸ”„ Advanced analytics dashboard
  • πŸ”„ Team collaboration features
  • πŸ”„ Advanced RAG (ChromaDB integration)
  • πŸ”„ Multi-language support

See the full Roadmap for details.


πŸ“Š Project Status

Metric Status
Production Ready 10/10 βœ…
Test Coverage 55-60%
Documentation Comprehensive
Security Audited & Hardened
Performance Optimized
Platforms Windows, macOS, Linux

See Development History for detailed implementation notes.


πŸ”’ Security

Security is a top priority. See SECURITY.md for:

  • Reporting vulnerabilities
  • Security features
  • Best practices
  • Security audit results

πŸ“œ License

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


πŸ™ Acknowledgments

  • Microsoft - For the original Clippy (1997-2007)
  • Ollama - Local LLM inference platform
  • Anthropic - Claude API
  • OpenAI - GPT API
  • Electron - Cross-platform desktop framework
  • React - UI library
  • FastAPI - High-performance Python framework

πŸ“ž Support


⭐ Star History

If you find this project useful, please consider giving it a star! It helps others discover the project.


Made with ❀️ by the Clippy Revival Team

Bringing nostalgia and innovation together, one paperclip at a time. πŸ“Žβœ¨

Website β€’ Documentation β€’ Blog

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