Agent System

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Overview

The Bytebot Agent System transforms a simple desktop container into an intelligent, autonomous computer user. By combining Claude AI with structured task management, it can understand natural language requests and execute complex workflows just like a human would.

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How the AI Agent Works

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The Brain: Claude AI Integration

At the heart of Bytebot is Claude, Anthropic’s advanced AI assistant. The agent:

1. Understands Context: Processes your natural language requests with full conversation history
2. Plans Actions: Breaks down complex tasks into executable computer actions
3. Adapts in Real-time: Adjusts its approach based on what it sees on screen
4. Learns from Feedback: Improves task execution through conversation

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Conversation Flow

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Task Management System

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Task Lifecycle

Tasks move through a structured lifecycle:

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Task Properties

Each task contains:

• Description: What needs to be done
• Priority: Urgent, High, Medium, or Low
• Status: Current state in the lifecycle
• Type: Immediate or Scheduled
• History: All messages and actions taken

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Smart Task Processing

The agent processes tasks intelligently:

1. Priority Queue: Urgent tasks run first
2. Error Recovery: Automatically retries failed actions
3. Human in the Loop: Asks for help when stuck
4. Context Preservation: Maintains conversation history across sessions

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Real-world Capabilities

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What the Agent Can Do

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Technical Architecture

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Core Components

1. NestJS Agent Service

   • Integrates with Anthropic API
   • Handles WebSocket connections
   • Coordinates with desktop API

2. Message System

   • Structured conversation format
   • Supports text and images
   • Maintains full context
   • Enables rich interactions

3. Database Schema

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   Tasks: id, description, status, priority, timestamps
   Messages: id, task_id, role, content, timestamps
   Summaries: id, task_id, content, parent_id
   

4. Computer Action Bridge

   • Translates AI decisions to desktop actions
   • Handles screenshots and feedback
   • Manages action timing
   • Provides error handling

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API Endpoints

Key endpoints for programmatic control:

// Create a new task
POST /tasks
{
  "description": "Your task description",
  "priority": "HIGH",
  "type": "IMMEDIATE"
}

// Get task status
GET /tasks/:id

// Send a message
POST /tasks/:id/messages
{
  "content": "Additional instructions"
}

// Get task history
GET /tasks/:id/messages

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Chat UI Features

The web interface provides:

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Real-time Interaction

• Live chat with the AI agent
• Instant status updates
• Progress indicators
• Error notifications

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Visual Feedback

• Embedded desktop viewer
• Screenshot history
• Action replay
• Task timeline

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Task Management

• Create and prioritize tasks
• View active and completed tasks
• Export conversation logs
• Manage task queues

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Security & Privacy

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Data Isolation

• All processing happens in your infrastructure
• No data sent to external services (except Claude API)
• Conversations stored locally
• Complete audit trail

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Access Control

• Configurable authentication
• API key management
• Network isolation options

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Extending the Agent

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Integration Points

• Webhook notifications
• External API calls
• Custom AI prompts

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Best Practices

1. Clear Instructions: Be specific about desired outcomes
2. Break Down Complex Tasks: Use multiple smaller tasks for better results
3. Provide Context: Include relevant files or URLs
4. Monitor Progress: Watch the desktop view for real-time feedback
5. Review Results: Verify outputs meet requirements

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Troubleshooting

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Next Steps