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

Purpose: Create and visualise logic graphs that unify code, language and knowledge structures.

What it does:

  • Generates and visualises directed graphs of code and concepts, enabling cross-domain analogies.
  • Supports a universal logic graph and pattern system for symbolic reasoning.
  • Integrates with a knowledge engine and large-language models to perform semantic comparisons and analogical reasoning.

Status: Active development.

Roadmap:

  • Release a public API for graph construction and visualisation.
  • Integrate with external LLMs for enhanced semantic analysis.
  • Publish documentation and examples demonstrating cross-domain reasoning.

Eluriah Agent

Purpose: An AI-powered extension for Visual Studio Code that provides context-aware assistance and automates software engineering workflows.

What it does:

  • Connects to local and remote large-language models with persistent memory and context-aware chat.
  • Analyses and optimises source code, generates tests and suggestions, and performs guided refactoring.
  • Offers advanced workflows such as workspace analysis, dependency graph generation and interactive code manipulation via voice or text.

Status: Prototype available; active development.

Roadmap:

  • Enhance test-generation and code-quality analysis modules.
  • Implement natural-language programming and voice control features.
  • Release a public beta via the VS Code Marketplace with user documentation.

KIPMatrix

Purpose: An AI-driven cybersecurity system that automates incident response and threat analysis.

What it does:

  • Utilises a natural-language processing module to triage security incidents and extract critical features from logs and alerts.
  • Provides an automation module that synthesises signals from multiple tools, prioritising and remediating routine tasks.
  • Offers a decision-support module with an adaptability layer that factors in external threat intelligence to optimise defences.

Status: Prototype / active development.

Roadmap:

  • Integrate additional security data sources (SIEMs, EDRs, vulnerability scanners).
  • Deploy an adaptive learning engine to refine triage and remediation strategies.
  • Release a technical whitepaper and open-source tooling for community feedback.

AI Orchestra

Purpose: A cognitive operating system that coordinates distributed AI agents and enables complex multi-task workflows.

What it does:

  • Implements a reflex agent architecture with modules for memory management, emotion synthesis, ethics enforcement and high-level planning.
  • Uses a directed-acyclic-graph (DAG) tool engine to orchestrate asynchronous tasks and enable co-creative workflows.
  • Provides a feedback system and multi-node knowledge sharing (“Omnimind”) with interactive dashboards for monitoring.

Status: Early prototype; design and architecture phase.

  • Finalise the reflex-agent architecture and integrate core modules.
  • Implement a basic DAG scheduler with error handling and feedback.
  • Release a demo of multi-agent collaboration with public dashboards and documentation.

For more information about our ongoing work, explore our Active Research Programs and Publications & Peer Review pages.