Agent Ecosystem

Agent Types


The orchestrator of the SwiftNet ecosystem, responsible for managing and coordinating complex workflows.

Key Capabilities

  • Breaks down complex tasks into manageable subtasks

  • Coordinates other agents to execute the plan

  • Monitors progress and adjusts strategies in real-time

  • Maintains execution context across the agent network

Usage Example

pythonCopyfrom swiftnet.agents import TaskMaster

task_master = TaskMaster()
task_master.plan_execution("research_and_summarize", target="AI trends 2024")

BrowserBot Agent

A specialized agent for web interactions and browser automation.

Key Capabilities

  • Automated web navigation and interaction

  • Content extraction and processing

  • Form handling and data submission

  • Session state management

Usage Example

File Navigator Agent

Manages file system operations and content organization with a focus on maintaining structured data.

Key Capabilities

  • Directory traversal and management

  • Multi-format file parsing

  • Content preview generation

  • File structure optimization

Usage Example

CodeSmith Agent

Specialized in code generation, analysis, and integration tasks.

Key Capabilities

  • Smart code generation based on requirements

  • Code analysis and optimization

  • Integration pattern implementation

  • Documentation generation

Usage Example

Shell Commander Agent

Handles system-level operations and environment management.

Key Capabilities

  • Command execution management

  • Environment configuration

  • Package and dependency management

  • System resource monitoring

Usage Example

Security Considerations

  • All agents operate within isolated Docker containers

  • Access controls implemented at the agent level

  • Comprehensive logging for all operations

  • Human supervision requirements for critical operations

  • Data encryption for sensitive information

Getting Started


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