GreenTheDream Research Lab develops software to support computational research, simulation, secure communications, structured memory, and specialized agent workflows. This catalogue distinguishes active development from prototypes, architectural research, and archived experiments.
Software Status Labels
Architecture means the system has a documented design but is not yet a complete product. Prototype identifies an implemented proof of concept. Active indicates continuing development. Stable is reserved for software with a defined release, documentation, and repeatable operation. Archived means the work is retained for reference but is not an active development claim.
LAURA
Language Acquisition Understanding Reasoning Application
Purpose: Build a structured memory and context system that can transform conversation records, feedback, and prior decisions into retrievable reasoning context for AI-assisted work.
What it does:
- Imports and organizes conversation, feedback, comparison, and user-history datasets.
- Builds context through memory management, prompt construction, and decision-path tracking.
- Supports feedback analysis and recursive improvement workflows backed by a database.
Status: Active development. Phase 1 infrastructure is complete; Phase 2 memory and context integration is in progress.
Roadmap:
- Complete memory, context-tracking, and prompt-building integration.
- Expand feedback scoring, recursive improvement, and database synchronization.
- Develop the next reasoning-focused phase with controlled evaluation criteria.
KIPMatrix
Kyber-IPMatrix Secure Communications Framework
Purpose: Develop a post-quantum-ready encryption and transport framework for real-time networks, secure file transfer, and segmented communications environments.
What it does:
- Uses Kyber-based key exchange within a multi-phase session-establishment process.
- Applies layered IPMatrix encryption with configurable key and security parameters.
- Supports parallel authenticated encryption, session resumption, pre-shared keys, and low-latency transfer workflows.
Status: Prototype and active engineering development.
Roadmap:
- Consolidate the server, client, key-management, and parallel-encryption modules.
- Complete interoperability, performance, and failure-mode testing.
- Publish a security architecture, threat model, and reproducible benchmark suite.
Eluriah Agent
Purpose: Provide a context-aware coding and research assistant inside Visual Studio Code using local or remote language models.
What it does:
- Connects editor context to persistent project memory and model-assisted chat.
- Supports source analysis, guided refactoring, test generation, and dependency inspection.
- Explores workspace-level interaction through text, structured commands, and planned voice workflows.
Status: Prototype and architecture development. Public-release status has not yet been declared.
Roadmap:
- Stabilize workspace analysis, memory, and local-model connectivity.
- Expand test generation and code-quality evaluation.
- Prepare documentation and a controlled beta when reliability targets are met.
AI Orchestra
Purpose: Coordinate multiple specialized AI agents, tools, memory systems, and asynchronous tasks within a shared orchestration framework.
What it does:
- Defines agent roles, task graphs, shared memory, and feedback pathways.
- Uses directed task orchestration to coordinate concurrent and dependent work.
- Explores monitoring, ethics constraints, error recovery, and multi-node knowledge sharing.
Status: Architecture and early-prototype research.
Roadmap:
- Finalize the minimum orchestration and agent-interface specification.
- Implement a basic task-graph scheduler with observability and error handling.
- Demonstrate a reproducible multi-agent research workflow.
Agent Gaming Console
Purpose: Develop a permission-aware game companion architecture capable of perception, memory, guidance, testing assistance, and controlled input abstraction.
What it does:
- Defines vision, OCR, audio, speech, memory-graph, and retrieval pipelines.
- Separates guidance, QA, and authorized input modes through an explicit permission system.
- Includes product, deployment, developer-testing, hardware-console, and local-install specifications.
Status: Comprehensive architecture and product-design stage; implementation is modular and staged.
Roadmap:
- Implement the minimum perception-to-guidance pipeline.
- Validate memory, permissions, and QA workflows against selected game profiles.
- Package local, virtual-machine, and dedicated-device deployment paths.
Archived Exploratory Work
CGOE — Code Grammar Ontology Engine
Status: Archived exploratory prototype.
CGOE investigated whether code, language, and knowledge structures could be represented through a shared graph-oriented grammar. The initial implementation did not meet the project’s functional goals, so it is retained as a documented experiment rather than presented as active software. Useful concepts may be reconsidered independently in future work.
Data, Reproducibility, and Release Policy
- Project status is stated explicitly and revised when development changes direction.
- Architecture documents distinguish implemented features from planned capabilities.
- Public releases should include setup instructions, version information, known limitations, and representative tests.
- Security-related tools require threat modeling and independent review before production use.
- Repository and demonstration links will be added when each project reaches an appropriate public-release stage.
AI Research Program Hub
The detailed AI program page connects the individual software projects to their shared architecture principles, status, reproducibility requirements, and development milestones.
Release and Funding Resources
Data & Code Availability · Research Milestones & Funding Needs · State of the Lab — 2026
For more information about our ongoing work, explore our Active Research Programs and Publications & Peer Review pages.
GreenTheDream Research Lab 