Agent Ecosystem

Agent Types

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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

pythonCopyfrom swiftnet.agents import BrowserBot

browser = BrowserBot()
content = browser.navigate_and_extract("https://example.com")

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

pythonCopyfrom swiftnet.agents import FileNavigator

navigator = FileNavigator()
files = navigator.scan_directory("./project")

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

pythonCopyfrom swiftnet.agents import CodeSmith

smith = CodeSmith()
code = smith.generate_component("login_form", framework="react")

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

pythonCopyfrom swiftnet.agents import ShellCommander

commander = ShellCommander()
result = commander.execute_command("pip install -r requirements.txt")

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

bashCopy# Clone the repository
git clone https://github.com/Swaraj9/swiftnet2.git
cd swiftnet2/python

# Set up virtual environment
uv sync --all-extras
source .venv/bin/activate  # Windows: .venv\Scripts\activate

# Install SwiftNet
cd packages/swiftnet
pip install -e .

# Install required tools
playwright install --with-deps chromium

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