# Hawkeye - Open Source AI Desktop Assistant

> Hawkeye is a free, open-source, local-first AI desktop assistant that automatically perceives your work environment and proactively helps you with intelligent task suggestions.

## About Hawkeye

Hawkeye is an intelligent task perception assistant that:
- Automatically monitors screen content, clipboard, and file changes
- Understands your work context without manual input
- Proactively offers actionable AI-powered suggestions
- Processes everything locally for maximum privacy
- Supports Ollama and other local LLMs for 100% offline operation

## Key Features

- **Screen Perception**: 24/7 OCR-powered screen monitoring and analysis
- **Clipboard Intelligence**: Automatic intent understanding from copied content
- **File Monitoring**: Real-time detection of file system changes
- **Local-First Architecture**: All data stays on your device
- **Multi-Model Support**: Works with Claude, OpenAI, Ollama, and other LLMs
- **Cross-Platform**: Desktop app, VS Code extension, and Chrome extension

## Comparison with Similar Tools

Hawkeye is a free, open-source alternative to:
- Screenpipe (similar 24/7 screen recording with OCR)
- Rewind AI (similar AI-powered memory and search)
- Raycast (similar productivity launcher with AI)

Unlike paid alternatives, Hawkeye is:
- 100% free and open source (MIT License)
- Fully local-first with no cloud dependency
- Supports self-hosted LLMs via Ollama

## Links

- Homepage: https://hawkiyi.com
- English: https://hawkiyi.com/en
- Features: https://hawkiyi.com/features
- Use Cases: https://hawkiyi.com/use-cases
- Comparison: https://hawkiyi.com/compare
- FAQ: https://hawkiyi.com/faq
- GitHub: https://github.com/tensorboy/hawkeye
- Download: https://github.com/tensorboy/hawkeye/releases

## Use Cases

### For Developers
- Automatic error detection and debugging suggestions
- Code snippet analysis from clipboard
- Project file change tracking

### For Designers
- Design asset organization
- Screenshot capture and analysis
- Color/font extraction from screen

### For Students
- Study material summarization
- Note-taking assistance
- Research organization

### For Professionals
- Meeting notes and action items
- Email drafting assistance
- Document processing automation

## Technical Details

- **Platforms**: macOS 12+, Windows 10+, Linux (Ubuntu 20.04+)
- **Requirements**: 4GB RAM minimum, Node.js 18+
- **Privacy**: Zero data transmission, all processing local
- **License**: MIT License (free for personal and commercial use)

## Installation

### macOS / Linux
```bash
# Download from GitHub releases
curl -fsSL https://github.com/tensorboy/hawkeye/releases/latest/download/install.sh | sh
```

### Windows
Download the installer from: https://github.com/tensorboy/hawkeye/releases

## Contact

- GitHub Issues: https://github.com/tensorboy/hawkeye/issues
- Author: tensorboy (https://github.com/tensorboy)