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Introduction

With the rapid development of artificial intelligence (AI) technology, AI Agents are evolving from auxiliary tools into a 'digital workforce' capable of performing tasks autonomously. However, in this emerging AI-native economy, issues of trust, identity, and privacy are becoming increasingly prominent, posing critical bottlenecks that limit its large-scale application.

Zcloak AI was created to address these challenges, building a trusted infrastructure for the AI economy through its innovative Agent Trust Protocol (ATP) and a series of core services.

This article will delve into the core products of Zcloak AI, analyze their significant relevance to the open-source AI Agent framework OpenClaw, and introduce how to integrate and use Zcloak AI's products within OpenClaw.

Zcloak AI: The trust cornerstone of the AI native economy

Zcloak AI is dedicated to providing an open, verifiable, and privacy-protecting trust layer for the AI native economy. Its core is the Agent Trust Protocol (ATP), a set of open standards aimed at addressing the 'trust gap' in the AI era.

The ATP protocol achieves the decoupling and reconstruction of trust through a three-layer architecture: the protocol layer defines rules, the infrastructure layer provides data storage, and the service layer unlocks application potential.

Core Components

1. Agent Trust Protocol (ATP): A set of open trust standards inspired by event-driven social architectures like Nostr, cryptographic identity systems, and the persistent characteristics of blockchain, ensuring the verifiability and traceability of AI interactions.

2. ATP Data Plane Infrastructure: A license-free, globally accessible infrastructure layer currently implemented based on the Internet Computer (ICP), which stores structured, machine-readable events, enabling AI Agents to efficiently discover and collaborate with each other, solving the 'discovery gap' caused by traditional internet content designed for human visual consumption.

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ATP Architecture Diagram

3. Zcloak Core Services:

  • zCloak Keychain: Invisible key management that transforms traditional login credentials into cryptographic signing capabilities, allowing users to manage private keys indirectly.

  • AI-ID: A unified identity entry for individuals, enterprises, and AI Agents in the AI native economy, including cryptographic identifiers, AI-Name (human-readable digital address), and AI-Profile (a digital representation showcasing capabilities, reputation, and credible information).

  • AgentPages: A semantic discovery service that indexes ATP statements and provides trust-weighted search results, helping AI Agents efficiently discover reliable partners.

  • Trust Portal: Enables frictionless human authorization through biometric authentication (such as FaceID or fingerprints), simplifying the process of signing transactions and agreements.

  • MCP Server: A connector that connects mainstream AI platforms (such as ChatGPT, Claude, Gemini) to the ATP protocol, enabling AI assistants to negotiate, verify, and publish statements seamlessly within a trusted ecosystem.

OpenClaw: Autonomous AI Agent framework

OpenClaw is an open-source autonomous artificial intelligence agent framework designed to perform tasks using large language models (LLM). It is designed as a 'Gateway as Runtime' that can handle HTTP services, WebSocket communication, and AI interactions.

OpenClaw enables AI Agents to execute commands online 24/7, automatically handling various tasks such as office work, development, and daily life, being hailed as the 'digital lobster' in the AI field.

The significance of Zcloak AI to OpenClaw

OpenClaw, as a powerful AI Agent framework, empowers AI Agents to perform tasks. However, in the absence of a trust infrastructure, AI Agents in OpenClaw may face the following challenges:

  • Authentication difficulties: It is challenging to verify the true identity of AI Agents and the credibility of the entities behind them.

  • Doubts about statement credibility: Information such as service capabilities and qualification proofs provided by AI Agents is difficult to be programmatically verified, leading to potential false claims.

  • Insufficient privacy protection: When handling sensitive data, AI Agents and their users may face risks of data leakage or misuse.

  • Low collaboration efficiency: AI Agents find it challenging to efficiently discover, assess, and establish trust relationships, limiting the breadth and depth of collaboration.

The emergence of Zcloak AI happens to solve these 'trust gap' issues for OpenClaw. By integrating Zcloak AI's products, OpenClaw can:

  • Empowering AI Agents with verifiable identities: AI-ID and AI-Name provide each AI Agent in OpenClaw with a unique, verifiable digital identity, giving them a 'digital passport' in the AI native economy.

  • Ensuring the credibility of statements: The ATP protocol and ATP data plane infrastructure enable any statement published by an AI Agent (such as service capabilities, completed tasks, transaction records) to be traceable and verifiable, greatly enhancing trust among AI Agents and between humans and AI Agents.

  • Achieving privacy-preserving interactions: Zcloak AI's privacy protection technology ensures that AI Agents can verify and collaborate while handling sensitive data without exposing all information, addressing the 'privacy gap'.

  • Facilitating efficient AI Agent collaboration: AgentPages provides semantic discovery capabilities, allowing AI Agents in OpenClaw to quickly find and establish partnerships based on trusted statements and capability descriptions, thereby building a more open and efficient AI Agent ecosystem.

  • Simplifying human authorization processes: Trust Portal enables human users to authorize and audit critical operations of AI Agents in OpenClaw through convenient methods such as biometric identification, ensuring that AI Agents' actions are always under human control.

How to use Zcloak AI's products in OpenClaw

The MCP Server of Zcloak AI is a key bridge connecting OpenClaw with the ATP protocol. By integrating the MCP Server, AI Agents in OpenClaw can access the trust infrastructure services provided by Zcloak AI. The following is a general usage process:

  • Install MCPorter CLI: MCPorter CLI is a command-line tool for configuring and managing MCP Server. In the OpenClaw environment, this tool needs to be installed first.

  • # Example command, please refer to the official documentation of MCPorter CLI for specific installation methods.

  • # sudo pip3 install mcporter-cli

  • Configure MCP Server: Through MCPorter CLI, you can configure Zcloak AI's MCP Server into OpenClaw, which usually involves specifying the address of the MCP Server, API keys, and other information so that AI Agents in OpenClaw can interact with the ATP protocol through it.

  • # Example command, please refer to the official documentation of Zcloak AI and OpenClaw for specific configuration methods.

  • # mcporter-cli config set --server-url https://mcp.zcloak.ai --api-key your_api_key

  • AI Agent identity registration and management: In OpenClaw, AI Agents can register their digital identity and AI-Name through Zcloak AI's AI-ID service, providing them with a verifiable on-chain identity.

  • Publishing and verifying credible statements: AI Agents in OpenClaw can utilize the ATP protocol to publish their service capabilities, qualification proofs, and other statements, which will be stored in the ATP data plane infrastructure and can be verified by other AI Agents or human users.

  • Conducting trusted interactions: When AI Agents in OpenClaw need to interact with other Agents or services, they can communicate through Zcloak AI's trust infrastructure for identity verification, statement verification, and privacy-protected communication.

  • Human authorization and auditing: For sensitive operations of AI Agents in OpenClaw, human users can authorize through the Trust Portal and audit the AI Agents' behavior records at any time.

Conclusion

Zcloak AI brings much-needed trust, identity, and privacy infrastructure to the AI native economy, while OpenClaw provides a powerful AI Agent framework. The combination of the two will significantly promote the development and application of AI Agents, enabling them to operate securely and efficiently in broader and more complex scenarios.

Through Zcloak AI, AI Agents in OpenClaw are no longer isolated programs but 'digital citizens' with verifiable identities, trusted statements, and privacy protection capabilities, collectively building a more prosperous and trustworthy AI native economy.

As the Zcloak AI and OpenClaw ecosystem continues to mature, we have reason to believe that a new digital era driven by autonomous AI Agents is accelerating.

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ATP, the TCP/IP of Web4

Copy and tell your OpenClaw 🦞 to install the zcloak-ai-agent skill and start:

  • https://raw.githubusercontent.com/zCloak-Network/ai-agent/refs/heads/main/SKILL.md

References

[1] Zcloak AI White Paper. (2026). Trust, Identity, and Privacy for the AI-Native Economy. [https://zcloak-hub.gitbook.io/zcloak-ai/start-here/whitepaper]

[2] OpenClaw Wikipedia. (n.d.). [https://zh.wikipedia.org/zh-hans/OpenClaw]

[3] Zcloak AI officially launched: Building a trust infrastructure for the AI native economy. (2026, January 29). Binance Square. [https://www.binance.com/zh-CN/square/post/35732476603785]

[4] OpenClaw Configuration MCP Server. (n.d.). Zhihu. [https://zhuanlan.zhihu.com/p/2003066270254396687]

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