Roadmap
Platform Roadmap
OMEGA Project is developed as a structured engineering and research programme. The roadmap documents the current state of the platform, active research, and planned areas of investigation as the project evolves.
Live
LiveThe foundational platform is complete and provides the engineering environment that underpins all current and future research.
Foundation
- Repository structure
- Engineering governance workflow
- Architecture Decision Record (ADR) framework
- Documentation standards
Platform
- Ubuntu Server 26.04 LTS
- Docker
- Docker Compose
- Git-based development workflow
Data Services
- PostgreSQL
- pgvector
- Qdrant
AI Platform
- Ollama
- Open WebUI
- Evidence API
- Inference API
- Security-focused role models
Observability
- InfluxDB
- Grafana
- Service health monitoring
- Platform telemetry
- Model inventory
Active
In ProgressPhase 5 — AI Security & Governance
Ongoing
OMEGA Project runs a vendor-neutral AI security research programme anchored on theOWASP Top 10 for LLM Applications, MITRE ATLAS and theNIST AI Risk Management Framework. Every research item follows the same pipeline, from question to published finding, and each finding becomes a repeatable test that is run again as the platform changes.
Planned
PlannedThe following initiatives are planned alongside the ongoing research programme.
Image Generation
- ComfyUI
- Stable Diffusion
- FLUX
Agentic AI
- Tool use
- Multi-step reasoning
- Workflow orchestration
- Multi-agent collaboration
Software Supply Chain Security
- Software Bill of Materials (SBOM)
- Dependency analysis
- Supply chain intelligence
Vulnerability Intelligence
- CVE ingestion
- SBOM correlation
- Vulnerability enrichment
- AI-assisted triage
Home Assistant Integration
- Controlled API exposure
- Context-aware automations
- Local AI decision support
- Voice interaction
- Privacy-preserving architecture
Looking Ahead
OMEGA Project is intentionally iterative. As research progresses, new questions emerge, technologies evolve, and priorities change. This roadmap is therefore a living document rather than a fixed delivery schedule.
The objective is not to implement technology for its own sake, but to understand how modern AI systems can be engineered, secured, governed, and integrated responsibly using sound engineering principles.