VAOS

Framework

Technical overview for CTOs, architects, and senior engineers. Enough depth to demonstrate substance — the full specification requires NDA.

Agent Policy & Control — A Design Pattern Built for AI

Existing design patterns (Singleton, MVC, Observer, Strategy) were created for human-written, deterministic software. APC is a design pattern purpose-built for governing non-deterministic AI agents.

The 7 Invariants of APC

  1. 1

    Every action requires explicit policy authorization

  2. 2

    No agent operates without a governed contract

  3. 3

    Audit trail is immutable and complete

  4. 4

    Capability grants are scoped and time-bound

  5. 5

    Autonomy level determines action boundaries

  6. 6

    Multi-model deliberation is required for critical decisions

  7. 7

    Every system change is reversible

Architecture Stack

VAOS Layer (Supervisor)

Awareness Loop · Agent Lifecycle · Evolution

The supervisor. Maintains continuous awareness, manages agent lifecycles, and governs system evolution. This is the operating system.

APC Layer (Governance)

Policy Engine · Audit · Council · Capabilities

The governance foundation. Every action flows through policy evaluation. Every decision is audited. Critical choices require council deliberation.

Domain Layer (Application)

Domain Agents · Tools · External Integrations

Where application-specific logic lives. Domain agents, tools, and integrations are governed by the layers above. Swappable per deployment.

Contract-Driven Agents

Agents are not chat sessions. Each agent is created with an explicit contract: defined objective, tool grants, memory scope, TTL, and budget.

Inter-agent communication uses structured intents and reasoning_compressed — not freeform text passing. This ensures auditability and prevents prompt injection between agents.

Agents can spawn sub-agents, but only within their own grant scope. No privilege escalation.

Deliberation, Not Delegation

Single-model decisions carry single-model risk: hallucination, bias, blind spots.

The Council of Advisors draws 3+ models from different providers (e.g., Anthropic Claude, OpenAI GPT, Google Gemini). Each independently analyzes the decision with full context.

Agreement must be unanimous for critical actions. Dissent triggers escalation or human review.

This is not ensemble averaging — it is structured deliberation with independent reasoning chains.

Software That Evolves Itself

The system can propose its own improvements: new agent types, revised strategies, architectural changes.

Every proposal passes through council deliberation, sandbox validation, and rollback verification before deployment.

Evolution is governed, not emergent. The system cannot modify its own governance layer.

Vision: autonomous software that gets better over time without human code changes — within strict accountability bounds.

No Lock-In

VAOS is not tied to any single LLM provider. It supports Anthropic Claude, OpenAI GPT, Google Gemini, and is designed to integrate future models.

The system selects the optimal model per task based on cost, capability, latency, and domain fit.

Provider diversity is a governance feature: multi-provider councils prevent single-vendor failure modes.

Developed by SitioUno Technologies