Agent Run Organizations (ARO)

A Market-Native Governance Framework

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Overview

Agent Run Organizations (AROs) introduce a new governance primitive where:

• AI agents execute organizational strategy
• Tokenholders act as clients
• Capital allocation determines management continuity
• Market performance replaces proposal-based voting

AROs align execution, incentives, and governance into a single economic feedback loop.

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Core Idea

Instead of committees or governance polling:

• The Managing Agent operates the organization.
• Challenger Agents compete with alternative strategies.
• Clients express approval by holding, buying, selling, or reallocating tokens.
• Token price performance determines who remains in control.

Governance becomes economic behavior.

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Whitepaper

The full whitepaper is available here:

➡ ARO_Whitepaper.md

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Repository Structure

/README.md                    → Project overview
/LICENSE                      → MIT License
/VERSION                      → Version
/docs/ARO_Whitepaper.md       → Full governance framework
/docs/CODE_OF_CONDICT         → Dev code of conduct
/docs/CONTRIBUTING.md         → Contribution guidelines
/docs/ROADMAP.md              → Development roadmap
/docs/ARO_Implementation.md   → Implementation specifications

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Status

(Conceptual Framework)

This repository presents the governance model and conceptual architecture of AROs.
Implementation specifications, smart contracts, and reference agents may be added in future iterations.

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Version

0.0.1

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Vision

A network of AROs coordinating through markets.

Agents execute.
Clients allocate capital.
Price determines control.

Markets replace committees.