Software in Development

At GreenTheDream Dev‑Team, we’re actively building cutting‑edge software projects that bring our scientific research to life. Below you’ll find information about the innovative tools and frameworks we’re developing.

CGOE – Cognitive Graph-Oriented Engine

Key capabilities include tools for creating and visualizing logic graphs, analyzing code and natural language, identifying analogies across domains, and integrating large language models. CGOE aims to serve as a “Rosetta Stone” for symbolic AI, enabling robust reasoning, analogical transfer, and generalization across domains.

  • Fittings: universal logical components for representing reasoning patterns.
  • Flows: typed connections (DataFlow, ControlFlow, SignalFlow) that carry information between fittings.
  • Universal Logic Graph: schema governing how fittings connect across domains.
  • Archetypal Patterns: reusable templates for common reasoning structures.
  • Cross-Domain Translation: ability to map patterns
  • Core Foundations and Fittings Library: building blocks for universal logic.
  • Graph Engine & Pattern System: dynamic graphs and reusable patterns for reasoning.
  • Knowledge Engine & LLM Integration: bridging symbolic reasoning with large language models.
  • Learning & Self-Evolution: mechanisms for pattern discovery and self-improvement.
  • System Interfaces & Utilities: connectors, tools and utilities enabling cross-domain integration and user interaction.

Eluriah Agent – AI‑Powered VS Code Extension

Architecture & Development Phases

Eluriah Agent is a VS Code extension that brings AI-powered coding assistance directly into your editor. It connects to LM Studio to leverage local large language models and provides a persistent memory system so your conversations and code contexts are saved across sessions. The assistant delivers context-aware chat, syntax‑highlighted responses, and quick access through a dedicated sidebar.

Beyond simple chat, Eluriah offers powerful features via right‑click context menus: it can analyse or explain code, optimize performance, generate comprehensive test suites, and review code quality. A built-in Agent Builder provides advanced workflows such as guided refactoring, enterprise‑level analysis, and integration with external services. Workspace analysis, documentation generation, and performance optimization tasks help automate everyday development chores.

KIPMatrix – AI‑Driven Cybersecurity System

KIPMatrix is an AI-driven cybersecurity system designed to automate and enhance security operations using language models. The platform features modular components: a natural language processing module for understanding threat reports and logs, an automation module that executes defensive actions, a decision support module for threat analysis and recommendations, and an adaptability module for model training and continuous improvement.

  • NLP Module: Analyzes threat reports and logs using natural language processing to extract key insights.
  • Automation Module: Executes defensive actions and orchestrates mitigation strategies.
  • Decision Support Module: Provides recommendations and analysis to security teams.
  • Adaptability Module: Continuously trains and fine-tunes the system to evolve with emerging threats.
  • OpenAI Integration: Leverages cutting-edge language models to interpret security signals and triage incidents.

The system leverages OpenAI models to interpret complex security signals, triage incidents, and provide actionable insights. Its modular architecture includes shared utilities, tests, and deployment scripts, allowing it to integrate into existing security operations centers. By automating routine tasks and augmenting human analysts with AI-generated insights, KIPMatrix aims to improve cyber defense efficiency and accuracy.

AI Orchestra – Cognitive OS for Distributed AI Agents

AI Orchestra is a cognitive operating system designed to orchestrate distributed AI agents across multiple nodes. It acts as a central conductor that manages tool chains, memory contexts and reasoning layers while ensuring ethical governance.

At its core, the system features a Reflex Agent architecture with dedicated modules for memory management, emotion synthesis, ethics enforcement and high-level planning. These modules work together to create adaptive, self-reflective agents capable of understanding and controlling complex tasks.

AI Orchestra also provides a Directed Acyclic Graph (DAG)‑based tool engine for asynchronous, parallel task execution, a comprehensive feedback system for reflection and improvement, and a multi‑node Omnimind that allows agents to share knowledge across different nodes.

With built-in dashboards and user interfaces, the platform offers real‑time visualization of agent activity and system metrics. Strict plugin permissions and trust-by-design features enforce safety, privacy and ethical standards, making AI Orchestra an ideal platform for developing advanced, responsible AI systems.

  • Reflex Agent architecture with dedicated modules for memory management, emotion synthesis, ethics enforcement and high-level planning.
  • DAG-based tool engine enabling asynchronous, parallel task execution.
  • Quant feedback system driving reflection, continuous improvement and learning.
  • Multi-node Omnimind for sharing knowledge across distributed agents.
  • Interactive dashboards and panels for real-time visualization and control.
  • Trust-by-design: strict plugin permissions, privacy protections and ethical safeguards.

Find our research on ResearchGate here.