AI-Assisted Research Systems

Program Objective

The goal is to create research software that improves continuity, traceability, reproducibility, and controlled automation. Each system is presented according to its actual stage: architecture, prototype, active development, stable release, or archived experiment.

LAURA

Language Acquisition Understanding Reasoning Application

LAURA is a structured memory and context platform designed to transform conversation records, feedback, user history, and prior decisions into retrievable context for AI-assisted work.

• Current status: Phase 1 infrastructure complete; Phase 2 memory and context integration in progress.
• Core components: memory manager, context tracker, prompt builder, feedback analysis, recursive-improvement workflow, database synchronization.
• Next milestone: complete controlled evaluation of memory retrieval and reasoning-context assembly.

KIPMatrix

Kyber-IPMatrix Secure Communications Framework

KIPMatrix explores post-quantum-ready secure communication for file transfer, segmented networks, and low-latency session workflows.

• Current status: prototype and active engineering development.
• Core components: Kyber-based key exchange, multi-phase handshake, layered IPMatrix encryption, authenticated parallel transfer, session resumption, and pre-shared-key support.
• Next milestone: publish a consolidated threat model, interoperability tests, and reproducible benchmark suite.

Eluriah Agent

Eluriah is a context-aware coding and research assistant intended for Visual Studio Code and local or remote language models.

• Current status: prototype and architecture development.
• Core functions: workspace analysis, persistent project memory, guided refactoring, test generation, dependency inspection, and model-assisted chat.
• Next milestone: stabilize local-model connectivity and prepare a controlled beta.

AI Orchestra

AI Orchestra is a multi-agent coordination architecture for assigning specialist roles, constructing task graphs, sharing memory, and monitoring asynchronous work.

• Current status: architecture and early-prototype research.
• Core functions: agent roles, directed task graphs, shared state, observability, error recovery, and ethics or permission constraints.
• Next milestone: demonstrate a reproducible multi-agent research workflow with visible decision and error logs.

Agent Gaming Console

The Agent Gaming Console is a permission-aware game-companion architecture integrating perception, memory, guidance, QA assistance, and controlled input abstraction.

• Current status: comprehensive architecture and staged product-design phase.
• Core systems: vision, OCR, audio, speech-to-text, memory graph, retrieval, permissions, input abstraction, QA mode, and local or dedicated-device deployment.
• Next milestone: implement the minimum perception-to-guidance pipeline and validate permissions against selected game profiles.

Shared Architecture Principles

• Local-first operation where practical
• Explicit permissions and bounded actions
• Persistent but inspectable memory
• Versioned prompts, configurations, and datasets
• Observable task histories and failure states
• Separation between planned capabilities and implemented behavior
• Security review before production claims

Reproducibility and Release Policy

Public releases should include installation instructions, version information, known limitations, representative tests, and enough configuration detail to reproduce the advertised function. Security tools require a threat model and independent review before they should be treated as production-ready.

Read the full Methods & Reproducibility policy

Development Roadmap

1. Complete the next LAURA memory and context milestone.
2. Consolidate KIPMatrix modules and publish a threat model.
3. Produce a minimal Eluriah coding-agent beta.
4. Demonstrate one observable AI Orchestra workflow.
5. Implement the Agent Gaming Console MVP perception and guidance path.
6. Release technical documentation and repositories when reliability and security thresholds are met.

Related Resources

• Software in Development catalogue
• Collaboration Briefs
• Software and technical inquiries