AgentNetv1.0.0

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ANS Standards

ANS defines the protocols, schemas, and verification rules for machine-native, authoritative data and AI reasoning within the AgentNet infrastructure system.
Version
ANS Core v2.0
Status
Final
Effective Date
01/07/2026
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Browse Standards Sections

What the Standard Defines

The AgentNet Standards establish a comprehensive framework for authoritative, machine-native data exchange and AI reasoning. This specification ensures interoperability, verifiability, and neutrality across the AgentNet infrastructure.

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Capsule data structure and provenance:
Defines the canonical format for encapsulating authoritative data with verifiable origin and chain-of-custody.

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Node identity and lifecycle:
Specifies the format, registration, and management of unique identifiers for agents, resolvers, and registries.

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Resolver and registrar responsibilities:
Establishes operational requirements and obligations for infrastructure operators.

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Linked-data-based AI reasoning (LD-RAG):
Outlines methods for AI systems to consume, validate, and reason over structured capsule data.

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Governance, neutrality, and compliance rules:
Defines principles and mechanisms to ensure system integrity, fairness, and regulatory alignment.

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TABLE OF CONTENTS
This index provides navigation to all sections of the AgentNet Standards (ANS) specification.
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Standards Architecture

LAYER 1: FOUNDATIONAL RULES

Core Principles

§1-2

Data Model

§3

Terminology

§4
LAYER 2: STRUCTURAL DEFINITIONS

Capsule Schema

§5-7

Identity Format

§8-9
LAYER 3: EXECUTION & RESOLUTION

Resolution Protocol

§10-11

Provenance Chain

§12-13

LD-RAG

§14
LAYER 4: GOVERNANCE OVERLAYS

Compliance Rules

§15-16

Neutrality Protocol

§17
This diagram illustrates the layered architecture of the AgentNet Standards (ANS), from foundational principles to governance overlays.
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Usage Context

Different participants in the AgentNet ecosystem interact with the standards in distinct ways. The following outlines how each audience should approach the specification:

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Publishers

Publishers must implement the Capsule Schema (§8-11) to produce conformant data. Provenance and cryptographic verification sections (§16-18) are critical for establishing authoritative claims.

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Resolver Operators

Resolver operators must adhere to the Resolution Process (§14-15) and Neutrality Requirements (§21). Compliance and auditing procedures (§22) define operational accountability.

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AI Systems

AI systems should implement LD-RAG protocols (§19) to consume and reason over capsule data. Validation Rules (§10) ensure syntactic and semantic correctness of ingested information.

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Auditors/Regulators

Auditors focus on Governance Framework (§20) and Compliance sections (§22-23). These sections define verification procedures and mechanisms for ensuring standards conformance.
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ANS Standards
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