Intelligent Agents

Specialized agents for different cognitive functions including DLPFC and task-specific processing.

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LangGraph Workflows

Advanced workflow orchestration with state management and conditional routing.

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Human-in-the-Loop

Seamless integration of human feedback and decision-making in automated workflows.

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Welcome to SCANUE v22

SCANUE v22 is a sophisticated multi-agent system that leverages the power of LangGraph for complex workflow orchestration. The system is designed to handle intricate cognitive tasks through specialized agents, each optimized for specific functions.

Key Features

  • Multi-Agent Architecture: Specialized agents for different cognitive functions
  • LangGraph Integration: Advanced workflow orchestration with state management
  • Human-in-the-Loop: Seamless integration of human feedback and decision-making
  • Flexible Workflow Design: Conditional routing and dynamic task allocation
  • Comprehensive Testing: Full test coverage with pytest framework

Getting Started

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# Clone the repository
git clone https://github.com/iLevyTate/scanue-v22.git
cd scanue-v22

# Install dependencies
pip install -r requirements.txt

# Run the main workflow
python main.py

Project Structure

The project is organized into several key components:

  • agents/ - Core agent implementations including base, DLPFC, and specialized agents
  • tests/ - Comprehensive test suite covering all system components
  • debug/ - Debugging utilities and workflow demonstration scripts
  • workflow.py - Main workflow orchestration logic
  • main.py - Entry point for the application

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