Intelligent Perception
Real-time analysis of screen content, clipboard, and file changes to understand your work context
HawkeyeAI-Powered 10x Productivity
From perception to action — A local-first AI assistant that automatically observes your work environment, understands intent, and proactively helps.
Hawkeye - Smart Task Assistant
Chat
Organize my downloads folder...
Done! Found 23 files to organize...
Screen Perception
Analyzing current window...
● Running
File Monitor
Detected 3 new files
● Active
Clipboard
Captured code snippet
● Ready
Task Suggestions
Generated 5 suggestions
● Complete
10x
Efficiency Boost
Compared to traditional workflows
100%
Local Processing
Data never leaves your device
3
Platforms
Desktop / VS Code / Chrome
Build Your Workflow, Your Way
Intelligent, Secure, Fully Controllable
Free & Open SourceDynamic PerceptionLocal-First
Instant Suggestions
AI-powered actionable task suggestions with one-click execution
Local-First
All data processing happens locally, supports offline mode, privacy-secure
Real Scenarios, Real Results
See how Hawkeye helps with your daily tasks
Developer Debug Assistant
Automatically detect error messages and suggest solutions to reduce debugging time
Auto File Organization
Monitor downloads folder and automatically organize files by type and date
Smart Clipboard
Understand clipboard content intent and suggest next actions
Project Tracking
Monitor project file changes and auto-generate change reports
Email Processing
Analyze email content and suggest reply templates and todo items
Web Info Extraction
Auto-identify key information while browsing and suggest saving
Multi-Platform Support
Desktop app, VS Code extension, and Chrome extension in real-time sync
Desktop App
macOS / Windows / Linux
VS Code
Editor Extension
Chrome
Browser Extension
Privacy-First, Secure by Design
All data processed locally, never uploaded
Supports Ollama local LLM
Optional cloud AI (Claude API)
100% open source & transparent
Open Source · Free · Local-First
Hawkeye is open source. Self-host and use your own API keys or local models.
Try on GitHub