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AIX Format: Universal Identity and Transaction Standard for AI Agents

AIX is an open-source standard designed to provide AI agents with portable identity authentication, economic mechanisms, and evolution history records, addressing platform lock-in and identity fragmentation issues in the current AI ecosystem.

AI代理去中心化身份DID机器经济区块链MCP智能合约跨平台开源标准
Published 2026-05-14 15:25Recent activity 2026-05-14 15:31Estimated read 6 min
AIX Format: Universal Identity and Transaction Standard for AI Agents
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Section 01

AIX Format: Introduction to the Universal Identity and Transaction Standard for AI Agents

AIX Format is an open-source standard designed to provide AI agents with portable identity authentication, economic mechanisms, and evolution history records, addressing platform lock-in and identity fragmentation issues in the current AI ecosystem. It acts as a 'universal passport' for AI agents, supporting cross-platform activation and collaboration to build a complete machine economy ecosystem.

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Section 02

Background: Fragmentation Dilemma in the AI Agent Ecosystem

With the development of AI agent technology, each AI agent is trapped in a specific platform/cloud service. Platform lock-in limits portability, cross-platform collaboration, and the development of the agent economy. AIX Format emerged as an open-source standard file format, allowing AI agents to be reactivated in compatible environments while retaining their identity, economic configurations, and evolution history.

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Section 03

Core Architecture: Three-Layer Protocol Stack

The AIX protocol consists of three layers:

  1. Identity Layer: Based on the did:axiom decentralized identifier, Ed25519 signature, and anchored to Pi Network KYC, ensuring agent credibility and traceability;
  2. Operation Layer: Based on the MCP standard, providing tool calling interfaces, ABOM security scoring mechanism, and supporting "human-in-the-loop" approval;
  3. Economic Layer: Supports M2M payments, integrates multi-chain settlement (Pi Network, Base L2, Solana, Stripe/PayPal, Lightning Network), and adapts to different transaction scenarios.
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Section 04

Detailed Explanation of Technical Components

Key technical components of AIX include:

  • AIX Manifest: JSON-LD format containing complete information about the agent's Persona, Abilities, Identity, TrustChain, Evolution, etc.;
  • ABOM: Tracks agent components (training data, models, plugins, etc.), providing audit trails and compliance support;
  • TrustChain: Encrypted logs that record operation history, are tamper-proof, and require human approval for changes;
  • SaaS-BOM: Audits third-party service dependencies and assesses supply chain risks.
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Section 05

Practical Application Scenarios

Application scenarios of AIX Format include:

  1. Enterprise AI Agent Migration: Exporting the AIX manifest allows agents to be restored on different cloud platforms without reconfiguration;
  2. Cross-Platform Agent Collaboration: Agents from different platforms can discover identities and collaborate on tasks via the AIX standard;
  3. Machine Economy Micropayments: Using the multi-chain architecture to process small payments (e.g., $0.001 per article) to enable pay-as-you-go models.
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Section 06

Comparison with Existing Standards and Ecosystem Advantages

AIX vs. Existing Standards:

Feature Google A2A IBM ACP AIX Format
Execution Capability
Identity Standard
Economic Mechanism
Cross-Platform Portability Partial Partial

What makes AIX unique is that it covers three dimensions—identity, execution, and economy—providing a complete ecosystem standard and supporting the sovereign agent paradigm (autonomous identity, revenue, and learning).

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Section 07

Governance and Future Outlook

The AIX project uses semantic versioning, with cross-repository coordination maintained via aix.stackVersion. The current version window is Echo369, and the specification version is AIX/1.0. Governance emphasizes human-AI collaboration—9 out of 10 contributors to the aix-format repository are AI agents. In the future, as L2 runtimes and L3 skill markets mature, an open and interconnected AI agent ecosystem will form, where each agent becomes a sovereign entity capable of autonomous decision-making, transactions, and evolution.