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
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 chromiumLast updated