AI sucks. Until it doesn't.
The unified AI operating system for everything
A unified layer that speaks every AI language.
Route intent. Not models.
Today's AI is wasteful, privacy-invasive, and vendor-locked
Cloud datacenters guzzle millions of gallons cooling servers for your 3-second query
Your sensitive data sent to corporate clouds, training their models without consent
Trapped in one provider's ecosystem with proprietary formats and APIs
No compression, no memory optimization, bleeding tokens on repetitive context
Black box models with zero audit trail or reproducibility guarantees
Can't work offline, can't own your infrastructure, can't control your AI
Local-first AI with golden rules compression • Your machine, your data, your control
You describe what you want to accomplish, not which API to call
System evaluates cost, latency, and capability across available providers
Request routed to optimal provider with fallback chain for reliability
Result returned in consistent format, regardless of provider
All decisions logged and reproducible. No black boxes.
Savings tracked and visible. Choose cheaper alternatives when available.
Protect your organization from deepfakes, injection attacks, and AI-powered fraud
Real-time audio and video deepfake detection for private and enterprise fraud prevention
Military-grade prompt injection defense and context isolation
Zero-knowledge processing with full compliance guarantees
What you can build with one framework
Transform meditation states into live generative art with biofeedback
User speaks intentions, breathing patterns, or meditation goals
Route to Ollama for sentiment + intent extraction (calm, focused, energized)
Map emotional state to color palettes, motion speed, particle density
Stream params to Elusis WebGL engine for live 3D meditation visuals
Create high-quality training datasets with synthetic data and human-in-the-loop validation
Use local model to create diverse training examples across 50+ categories
Route examples to Ollama, local models, and Llama (local) for consistency checks
Present flagged examples to human reviewers via Discord interface
Export validated dataset in JSONL, CSV, or Hugging Face format for training
Adapt AI personality and expertise based on context and user needs
Analyze conversation history: technical debug, creative brainstorm, or casual chat
Switch between Builder (code-focused), Tester (QA), or Advisor (strategy) personas
Technical tasks → Ollama, Creative → local model, Fast responses → Llama (local)
Store persona state in memory for cross-session continuity
Combine AI models to create unique multimedia experiences
User provides text prompt, reference image, or musical theme
Route to Stable Diffusion (local) for visuals, local audio model for audio, Ollama for storytelling
Align visual transitions with musical beats and narrative pacing
Render final composition as video, interactive web experience, or NFT
Extract insights from research papers and generate literature reviews
Upload PDFs or fetch from arXiv, PubMed, Google Scholar via API
Route to Ollama for methodology, results, and conclusions extraction
Compare findings across papers, identify contradictions and consensus
Create structured review with citations, themes, and research gaps
Advanced visualizations and creative technologies
Next-generation 3D rendering with Gaussian splatting powered by Blurry's public dataset library.
Texture generation and material automation visualization
1. Concept artwork input
2. Generate material maps (Normal, Roughness, Metallic, AO)
3. Apply to 3D models
4. Real-time Unreal viewport preview
Specialized agents that extend your workflow
Companion agent for personal assistance, memory, and daily task coordination with perky personality
Autonomous code generation with multi-provider routing and testing capabilities
Financial tracking, expense management, and automated bookkeeping workflows
Creative ideation, brainstorming, and conceptual exploration agent
Golden Rules compression • 60-80% token savings • Human ↔ Machine sync
Dual-format documentation system: human-readable (comprehensive) and machine-optimized (compressed). Automated bidirectional sync every 10 minutes.
MCP-powered memory persistence with search, timeline, and observation retrieval. Context economics: load 50 observations (23K tokens) from 1.1M tokens of past work.
Local-first by default. Your data stays on your machine. No telemetry, no tracking, no corporate cloud dependency. Use Ollama, LM Studio, or MLX locally.
Local inference = zero datacenter water waste. Compression = fewer tokens = lower energy. Efficient memory = context reuse instead of regeneration.
Interested in ethical, local-first AI? Let's talk.
Where we're heading next
Beyond text. Reasoning over audio, images, 3D data, video. Unified intent-based routing across all modalities.
100+ agents collaborating on complex projects. Swarm intelligence with deterministic execution traces.
Automatic routing to cheapest capable provider. Real-time cost tracking. Savings recommendations.
Deterministic execution. Version control for AI. Full audit trail and reproducibility guarantees.
Run one framework on your own infrastructure. Peer-to-peer provider network. No central authority.
Token-by-token streaming. Artifact streaming. Progressive rendering. Sub-100ms latency.