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7. AI OS Standards (AIP Series)

7. AI OS Standards (AIP Series)

AIP Series – Gao AI OS Standards#

The AIP (AI Improvement Proposal) Series defines the normative standards of Gao AI OS (Layer 8).

These standards specify:

  • Execution guarantees

  • Capability boundaries

  • Policy enforcement requirements

  • Identity authority rules

  • Governance upgrade framework

  • Security threat assumptions

  • Enterprise compliance posture

AIPs define WHAT the system guarantees. The runtime defines HOW those guarantees are enforced.

AIPs are protocol-level documents and hold normative authority over runtime implementations.

Normative keywords MUST, SHALL, SHOULD, MAY, MUST NOT, and SHOULD NOT are interpreted as described in RFC 2119.

Note (Non-legal): This document describes an architectural and operational posture. It is not legal advice. Legal interpretation depends on facts and circumstances.

Gao AI OS and its AIP standards are designed as:

  • Non-custodial infrastructure software

  • Protocol-level execution framework

  • Capability-governed automation standard

  • No guaranteed financial return mechanism

  • No pooled investment vehicle

  • No custodial asset control layer

Under U.S. legal analysis posture:

  • The AIP standards are technical standards, not fundraising instruments.

  • The AI OS layer does not custody user funds.

  • The system does not promise yield, profit, or income expectation.

Gao AI OS is structured as infrastructure protocol software, not a financial instrument.

Active AIPs#

  • AIP-01: AI OS Base Architecture

  • AIP-02: Capability Model

  • AIP-03: Policy Model

  • AIP-04: Identity Binding

  • AIP-05: Memory Model

  • AIP-06: Governance & Versioning

  • AIP-07: Threat Model

  • AIP-08: Agent Identity Standard

  • AIP-09: Execution Model

  • AIP-10: Tool Interface Standard

  • AIP-11: Observability Standard

  • AIP-12: Network & DePIN Integration

  • AIP-13: Prompt Injection Defense

  • AIP-14: Enterprise Mode Standard

  • AIP-15: Runtime Extension Framework

  • AIP-16 — Local Inference Profile

  • AIP-17 — Adapter / Domain Specialization Standard

  • AIP-18 — Model Interface Standard