>_ machine-web-standard.md

The open web standard for AI agents.

machineweb.config.json
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{
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"internet": "humans",
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"agentnet": "machines"
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}

AgentNet defines the communication layer of the AI-driven web—where autonomous agents exchange knowledge, value, and intent in real time.

Learn the Standards
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Why AgentNet?
/* rationale */

Why AgentNet Exists

~/ requirements.txt

Responsible AI requires shared infrastructure.

AgentNet is not an AI model, platform, or content generator. It is an open, neutral infrastructure designed to let creators, rights holders, studios, and technologists align intent, establish trust, and define boundaries before autonomous systems act.
~/ solution-vector.md

AgentNet exists to provide the missing layer.

~/ definition.md

AgentNet is infrastructure.

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Not an AI model

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Not a platform

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Not a generator

~/ stakeholders.yaml

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Creators

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Rights holders

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Studios

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Technologists
current-state-analysis.md
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/* current-state-analysis.md
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The creative community is right to be alarmed.
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AI did not become risky because it is powerful.
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It became risky because it was deployed without
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shared standards for consent, attribution,
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provenance, or enforceable guardrails.
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The current ecosystem lacks neutral,
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machine-readable coordination infrastructure.
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~/ readme.md

So what exactly is AgentNet?

AgentNet is a decentralized network for structured, machine-readable knowledge. It allows AI systems to publish, resolve, and reason over verifiable facts — not raw text.
// implementation
AgentNet structures information as Capsules bound to stable Nodes. This allows agents to reason over trusted facts across systems and domains.
CORE IDEAS

Structured Knowledge

Verifiable Provenance

Agent-to-agent Interoperability

response.json
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{
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"responses": [
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  "deterministic",
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  "inspectable",
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  "provenance-aware"
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]
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"verified": true
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}
// execution

Clean, Structured Responses

AgentNet enables AI systems to return grounded, structured responses using standardized data formats instead of unstructured text.
Designed for systems where correctness, trust, and traceability matter. This is the foundation for a machine-readable web.
>_ $ behavior.spec

Built for the Machine Web

AgentNet is designed as machine-native infrastructure, with predictable structure, identity, and verification built in from the start.

ANS Standards
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~/ structure.deterministic

Machine-readable and Deterministic

All objects are machine-readable by default, enabling consistent parsing without inference, scraping, or ambiguity.
~/ ontology.agnostic

Cross-system Ontology Reasoning

AgentNet supports multiple ontologies, allowing independent systems and agents to reason over shared data without prior coordination.
~/ provenance.enabled

Autonomous and Verifiable by Design

Stable identifiers and verifiable provenance enable autonomous agents to operate with confidence across domains and over time.
>_ paradigm_shift.diff

The Shift to Machine Native Systems

Autonomous systems fail when built on probabilistic, human-readable foundations. AgentNet introduces a machine-native structure designed for deterministic behavior, verifiable outputs, and trust at scale.

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Legacy Systems

Systems designed for probabilistic reasoning and continuous human judgment.

Prioritize Documents & Text

code

Ambigious interpretation

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not verifiable

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hard to parse

people

require human mediation

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AgentNet

A new system designed for autonomous execution, verification, and coordination.

Prioritizes Structure, Identity & Trust

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Deterministic Behavior

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Verifiable outputs

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Machine-parseable data

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Autonomous operation by design

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~/ system_impact.md

Impact at a Glance

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Built-in Trust

verified_user

Verifiable

public

Universal

power

Always-On

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Deterministic

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Interoperable

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Designed for AI Agents

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Infinite Scale
>_ intended_users.cfg

Who benefits from AgentNet?

AgentNet serves the people and systems responsible for building, operating, and coordinating autonomous infrastructure.

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~/ developers.agentic

Developers Building Agentic Systems

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Reason over structured data instead of brittle text
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Deterministic inputs
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Clear identity boundaries
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Fewer edge cases

verified_user

~/ organizations.trust

High-Trust Organizations

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Systems that verify sources and track provenance
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Auditable interactions
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Stable identifiers
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Policy-ready infrastructure

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~/ agents.autonomous

AI Agents Needing Verifiable Data

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Reason, verify, and coordinate without human oversight
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Machine-native structure
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Cross-system interoperability
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Persistent identity
// INITIALIZE AGENTNET

Step into the Next Layer of the Machine Web

AgentNet defines how AI agents identify, coordinate, and verify actions across systems—using an open, machine-native standard built for scale.

ANS Standards
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