🧠 Vitruvyan OS¶

A Domain-Agnostic Cognitive Framework for Explainable Intelligence

A cognitive kernel for building intelligent systems

1. What is Vitruvyan OS¶

Vitruvyan OS is a modular cognitive framework designed to build intelligent systems that are explainable, auditable, and governed.

It’s not “just an LLM wrapper”. It’s a distributed architecture that cleanly separates:

perception
memory
reasoning
language
truth & governance

into independent but coordinated modules.

The result is a system that can reason, explain, and—most importantly—declare its own limits.

2. Why it was created¶

Vitruvyan was born from a precise need: to move beyond the monolithic “prompt → answer” paradigm.

Traditional AI systems often:

don’t distinguish computation from narration
don’t track causality
don’t have structured memory
don’t have internal governance

Vitruvyan OS was designed as a distributed cognitive system inspired by:

biological neural networks (local autonomy)
mycelial networks (emergent coordination)
modern event-driven architectures

Intelligence isn’t concentrated in a single model: it emerges from the interaction between specialized modules.

3. High-level architecture¶

Vitruvyan OS stands on three structural pillars:

🕸 Orchestration¶

Cognitive flows are managed with conversational graphs and intent-based routing. Each request traverses analysis, validation, and composition nodes.

🧠 Cognitive Bus¶

A sophisticated, distributed event bus (Redis Streams-based) that provides:

asynchronous communication between modules
causal traceability
fault isolation
event replay

No module depends directly on another: everything communicates through structured events.

⚖ Governance & Audit¶

Every output can be:

validated
corrected
rejected
marked as uncertain

The system integrates an epistemic control layer that prevents unfounded answers.

4. Domain agnosticism¶

Vitruvyan OS is domain-agnostic.

That means:

it’s not limited to finance
it’s not tied to a single use case
it’s not dependent on a single AI model

Domain logic lives in specialized verticals.

Example verticalization:

Trading Intelligence
Risk Monitoring
Compliance Systems
Portfolio Governance
Defense & Civil Protection Systems
Knowledge Graph Intelligence

The core stays invariant. You specialize the domain, not the architecture.

5. How a vertical is built¶

A vertical in Vitruvyan OS:

defines domain ontology and models
implements specialized agents
integrates scoring/evaluation logic
connects to the Cognitive Bus
inherits automatically:
structured memory
explainability
audit trail
governance

This lets you build complex systems without reinventing orchestration, audit, traceability, and event management.

6. Explainable intelligence, not opaque¶

Vitruvyan OS separates:

quantitative computation
semantic fusion
linguistic narration
epistemic validation

Every decision can be reconstructed. Every output can be traced back to its causal origin.

This makes it suitable for:

regulated environments
institutional contexts
mission-critical systems

7. Vision¶

Vitruvyan OS is not a single product. It is a cognitive operating system.

A framework to build:

modular agentic AI
multi-service systems
distributed intelligent infrastructures
auditable architectures for complex domains

The goal is not to generate text. It is to generate structured, governed intelligence.

Vitruvyan Core is a domain-agnostic operating system for epistemic processing — the foundation for building intelligent systems that reason, remember, and evolve.

Unlike traditional frameworks tied to specific verticals (finance, healthcare, etc.), Vitruvyan provides pure cognitive primitives that adapt to any domain:

🧠 Perception: Ingest and normalize heterogeneous inputs
💾 Memory: Persistent semantic and structural state
⚡ Reason: Deterministic and explainable computations
📖 Discourse: Transform system state into narratives
✅ Truth: Governance, validation, and audit trails

Architecture Highlights¶

Sacred Orders Pattern¶

Vitruvyan organizes capabilities into autonomous Sacred Orders — cognitive microservices with strict separation:

Order	Responsibility	Example Use Cases
Memory Orders	Semantic coherence, RAG operations	Context retrieval, knowledge synthesis
Vault Keepers	Archival, persistence, snapshots	Event sourcing, audit logs
Orthodoxy Wardens	Code quality, validation, governance	CI/CD integration, policy enforcement
Babel Gardens	Multilingual NLP, emotion detection	Conversational AI, sentiment analysis
Codex Hunters	System introspection, maintenance	Auto-documentation, dependency mapping
Pattern Weavers	Behavioral analysis, anomaly detection	Signal extraction, pattern mining

LangGraph Cognitive Pipeline¶

A 100% domain-agnostic graph orchestrating intent detection → semantic grounding → execution → validation.

Pluggable verticals: Finance, healthcare, legal — add your domain without touching core logic.

Synaptic Conclave (Event Bus)¶

Redis Streams-based cognitive transport with: - Payload-blind routing (no semantic coupling) - Consumer group autonomy - Event traceability and replay

Access Levels¶

Vitruvyan documentation is organized into two access tiers:

🔓 Basic Access (Developers & Integrators)¶

What you get: - ✅ Full API documentation for all Sacred Orders - ✅ Service architecture and deployment guides - ✅ Integration examples and usage patterns - ✅ LangGraph pipeline specifications - ✅ Testing and development workflows

Who needs this: - Backend developers integrating Vitruvyan into applications - DevOps engineers deploying services - Architects evaluating the system

Request access: Contact the core team for basic credentials.

🔐 Advanced Access (Core Team & Contributors)¶

What you get (everything in Basic +): - ✅ Roadmaps and strategic planning documents - ✅ Technical debt tracking and refactoring plans - ✅ Proprietary algorithm specifications - ✅ Internal architecture decision records (ADRs) - ✅ Sacred Orders constitutional documents (charters)

Who needs this: - Core maintainers and committers - Strategic partners with IP agreements - Funded contributors working on internals

Request access: Advanced credentials require NDA or contribution agreement.

Getting Started¶

1. Request Credentials¶

For Basic Access (developers):

# Contact: vitruvyan-access@yourdomain.com
# Subject: Knowledge Base Access Request - Basic
# Include: Name, role, organization, use case

For Advanced Access (core team):

# Contact: vitruvyan-core@yourdomain.com
# Subject: Knowledge Base Access Request - Advanced
# Include: Contributor agreement or NDA reference

2. Access the Knowledge Base¶

Once you receive credentials, visit:

Basic Access: https://kb.vitruvyan.com/
Advanced Sections: https://kb.vitruvyan.com/planning/

Use HTTP Basic Authentication when prompted.

Quick Links (Preview)¶

**🔒 Behind authentication** — these paths require credentials: - **Getting Started**: `/` (Basic access) - **Sacred Orders Architecture**: `/docs/foundational/` (Basic) - **Service Deployment**: `/services/` (Basic) - **LangGraph Pipeline**: `/docs/architecture/` (Basic) - **Roadmaps & Planning**: `/planning/` (**Advanced only**) - **Refactoring Plans**: `/docs/technical-debt/` (**Advanced only**)

Why Vitruvyan?¶

Domain-Agnostic by Design¶

Finance, healthcare, legal, operations — one OS, infinite verticals. Add your domain as a plugin without rewriting infrastructure.

Sacred Orders Pattern¶

Strict separation of concerns inspired by epistemic hierarchy. Each Order has a constitutional charter defining mandate, invariants, and boundaries.

LangGraph + MCP Integration¶

Modern AI orchestration with OpenAI Function Calling and Model Context Protocol for tool use.

Event-Driven Architecture¶

Pure payload-blind transport (Redis Streams). No semantic coupling, full auditability, reproducible state.

Open Core Philosophy¶

Core primitives are open. Verticals and proprietary algorithms available under commercial agreements.

Repository Structure¶

vitruvyan-core/
├── vitruvyan_core/         # Reusable OS core (agents, bus, governance)
│   ├── core/agents/        # PostgreSQL, Qdrant, LLM agents
│   ├── core/governance/    # Sacred Orders (Memory, Vault, Orthodoxy...)
│   ├── core/orchestration/ # LangGraph pipeline (domain-agnostic)
│   └── core/synaptic_conclave/  # Event bus (Redis Streams)
├── services/               # Reference microservices
│   ├── api_memory_orders/  # Semantic coherence service
│   ├── api_vault_keepers/  # Archival service
│   ├── api_orthodoxy_wardens/  # Governance service
│   └── api_graph/          # LangGraph orchestration service
├── domains/                # Domain plugins (finance example included)
└── infrastructure/         # Docker, Nginx, monitoring (Grafana, Prometheus)

Technical Stack¶

Language: Python 3.11+
Orchestration: LangGraph (graph-based workflows)
LLM: OpenAI GPT-4o (configurable via LLMAgent)
Vector DB: Qdrant (semantic memory)
Persistence: PostgreSQL (structured state)
Bus: Redis Streams (event transport)
Monitoring: Grafana + Prometheus
Containers: Docker Compose

License¶

Core: Open source (specify license: MIT/Apache 2.0)
Verticals: Proprietary (commercial agreements)
Algorithms: Patent-pending (NDA required for specifications)

Contact¶

General inquiries: info@vitruvyan.com
Basic access: vitruvyan-access@yourdomain.com
Advanced access: vitruvyan-core@yourdomain.com
GitHub: github.com/vitruvyan/vitruvyan-core

Vitruvyan Core — Built for systems that think.