Implement Chrome Process Manager with AI Agent Integration

[A-Hem]

Overview

Enhance the Chrome process management script to integrate AI agent monitoring and observation capabilities.

Current Script Analysis

#!/bin/bash
# Current implementation handles:
- Chrome process startup
- Process monitoring
- Automatic restart
- Logging with timestamps

Required Enhancements

1. AI Agent Integration Points

• Pre-launch setup for AI observation
• Process hooks for Ollama model initialization
• Memory persistence across browser restarts
• Stream handling for multimodal inputs

2. Data Collection Components

# Proposed additions:
collect_browser_data() {
    # Monitor DOM events
    # Capture user interactions
    # Record navigation patterns
    # Stream to vector storage
}

initialize_ollama_models() {
    # Start llava for visual processing
    # Initialize whisper for audio
    # Setup mixtral for orchestration
}

persist_session_memory() {
    # Save vector embeddings
    # Store interaction patterns
    # Maintain context across restarts
}

3. Process Management Enhancements

• Add health checks for AI components
• Implement graceful shutdown of AI processes
• Handle model switching and updates
• Manage resource allocation

4. Monitoring Extensions

• Track AI model performance
• Monitor memory usage
• Log interaction patterns
• Report system health

Implementation Steps

1. Modify start_and_monitor_chrome():

   • Add AI initialization
   • Include model health checks
   • Implement data collection streams

2. Add new functions:

   • setup_ai_components()
   • monitor_ai_health()
   • manage_persistent_memory()
   • handle_browser_events()

3. Create error handling:

   • AI model failures
   • Memory persistence issues
   • Browser crash recovery

Security Considerations

• Secure data streaming
• Privacy-focused logging
• Safe process termination
• Resource isolation

Testing Requirements

• AI component initialization
• Process recovery
• Memory persistence
• Resource usage optimization

Next Steps

1. Implement AI initialization functions
2. Add data collection mechanisms
3. Create persistent memory handling
4. Develop monitoring system
5. Test process recovery with AI components