Developer of brain-inspired AI systems specializing in prefrontal cortex simulation and cognitive augmentation.

Overview

SCANUE v22 is a brain-inspired, multi-agent CLI built on LangGraph. It decomposes a task through an “executive” agent (DLPFC), conditionally invokes specialist agents (VMPFC/OFC/ACC), and integrates results through MPFC.

System Architecture

The system is built on several key components:

Multi-Agent Framework

  • Base Agent: Core agent functionality and common interfaces
  • DLPFC Agent: Specialized agent for executive functions and cognitive control
  • Specialized Agents: Task-specific agents optimized for particular domains

Workflow Engine

  • LangGraph Integration: Advanced workflow orchestration with state management
  • Conditional Routing: Dynamic agent selection based on DLPFC delegation
  • State Management: Shared state dict passed through stages, with per-run session logs

Human-in-the-Loop Integration

  • Persistent Feedback: Optional user feedback stored in feedback_history.json
  • Session Logs: Each run is logged under logs/ for debugging and analysis

Key Features

Advanced Agent Coordination

The system employs sophisticated coordination mechanisms that allow multiple agents to work together efficiently, sharing information and resources while maintaining their specialized functions.

Flexible Workflow Design

Built on LangGraph, the workflow engine supports complex routing logic, conditional execution, and dynamic adaptation to changing requirements.

Comprehensive Testing

The system includes extensive test coverage across all components, ensuring reliability and maintainability.

Debug and Monitoring Tools

Comprehensive debugging utilities help developers understand system behavior and optimize performance.

Technical Specifications

  • Language: Python 3.8+
  • Framework: LangGraph for workflow orchestration
  • Testing: pytest framework with comprehensive test coverage
  • Architecture: Modular, agent-based design
  • Integration: Human-in-the-loop capabilities

Getting Help

If you need assistance with SCANUE v22:

  1. Check the documentation
  2. Review existing issues
  3. Create a new issue if needed

Contributing

We welcome contributions to SCANUE v22! Please see our contributing guide for more information on how to get involved.