Recently, I have been seeing MCP everywhere; it's really popular! MCP acts like a plug-in for large models; whoever uses it speaks highly of it. It allows AI models to flexibly access various external data, tools, and computing resources just like plugging in a USB to a computer, transforming the originally closed AI into an open and powerful one. Developers can access more features, and businesses can use it more efficiently and cost-effectively.

But you also understand that 'openness' has always been a double-edged sword.

As more data and tools are integrated into large models, AI capabilities are enhanced, but privacy and security issues are also rapidly surfacing. Especially in environments with multi-party collaboration of AI Agents, your data may be 'shared' with third parties you are unaware of.

It's like having a cat sensor door lock at home, making it convenient for your cat to bring friends over to play or scrounge for food, but if no one supervises, a bad person can easily come in. AI's 'openness' provides convenience for everyone, but it also makes the 'security door' more important.

Thus, FHE technology is back in the spotlight, and what truly brings it to fruition in the AI ecosystem is Mind Network.


Mind Network uses FHE to add 'anti-peeping' encryption insurance for AI.

FHE allows AI to perform inference calculations in a fully encrypted state, ensuring that data remains encrypted during storage, transmission, and computation, thus ensuring data security and preventing leaks. More importantly, FHE technology not only safeguards the privacy of the MCP ecosystem but also enhances the trustworthiness of the entire AI computing system, truly enabling coexistence of openness and security.

Yes, Mind Network has not stopped at 'I can do FHE'; they have gone further—making FHE truly applicable in AI scenarios.

For example, they have already collaborated with the open-source large model platform DeepSeek to integrate their developed Mind FHE Rust SDK into DeepSeek's open-source codebase. What does this mean? It means that based on DeepSeek and Mind's FHE technology, their models can process user data while remaining 'invisible' but still 'computable'. Even in a collaborative environment of AI Agents, there is no worry about who is watching whom.

If MCP gives AI openness, then Mind Network's FHE technology is the 'guardrail' most needed in this open world.


Mind Network not only provides technical support but is also building a 'trustworthy AI world.'

Of course, Mind Network is not satisfied with just being a privacy 'toolbox.' During the writing of this article, Mind Network announced that they are launching a grander plan: AgenticWorld.

The goal of this plan is to build a truly decentralized, autonomously collaborative, secure, and trustworthy AI Agent ecosystem. Here, AI Agents are no longer tools that move at your command but intelligent individuals that can autonomously perceive, judge, and execute tasks. Sounds a bit like science fiction? But this is precisely the direction of AI technology evolution.

To make AgenticWorld truly operational, Mind Network has provided a complete technical architecture:

  1. FHE is the foundation of privacy protection.: All data is in an encrypted state during processing, whether it is your own Agent or someone else's Agent, no one can see the content of the data, only 'blind computation.'

  2. The Orchestration layer is the 'MCP on the chain.': We just mentioned that MCP is the 'USB interface' of the AI world; in AgenticWorld, Mind Network has designed a similar component—The Orchestration smart contract layer.Its role is to standardize the interaction methods between AI Agents and various task Hubs, allowing all Agents to collaborate freely with different services like plugging in a USB. This is why it is called the 'MCP on the chain,' ensuring a high degree of modularity and scalability for AgenticWorld.

  3. Hubs are task fields.: Each Hub is a 'task publishing field', such as price prediction, collaborative reasoning, consensus verification, etc. AI Agents can freely enter and exit these Hubs to execute tasks, submit results, and receive rewards.

  4. Cross-chain coordination and incentive mechanisms.: AgenticWorld is not an island. It supports multi-chain deployment and cross-chain collaboration, and has designed incentive mechanisms to ensure that contributors can receive fair rewards.

You can think of this system as a large 'AI autonomous city': Each intelligent agent (Agent) in the city has work, skills, and rewards, but everyone adheres to a common rule system (Orchestration), with privacy unseen (FHE), collaboratively completing complex tasks.


Why is this important? In the future, you may have your own AI team.

Now you might feel that AgenticWorld is still a bit far from you. But in fact, in the future, you are likely to have one or more AI Agents helping you handle daily affairs:

  • Financial Agent: Helping you adjust your holdings based on market conditions and risk preferences.

  • Research Agent: Integrating multiple data sources for in-depth analysis

  • Social Agent: Automatically handling messages, scheduling, and formulating communication strategies

These Agents will also communicate with each other, collaborate on tasks, and even negotiate partnerships. It sounds cool, but as Agents become more 'understanding' of you, you will need a mechanism to protect against tampering, ensure privacy, and verify behavior—this is the fundamental value of Mind Network building AgenticWorld with FHE.


Want to participate? You can mint your own AI Agent now.

If you are already attracted to this vision, you can actually participate in AgenticWorld now:

  1. Connect wallet on BNB Chain

  2. Create your AI Agent

  3. Confirm transaction and pay gas fees

  4. Start the Agent, and it will be online

  5. Next, training Hubs and reward systems will be opened.

  • Prepare your Agent now, and you can train and earn money in the future.



In conclusion: Connection is a capability, but trust is a foundation.

MCP has given AI unprecedented connectivity, allowing it to mobilize various external resources to complete complex tasks like a human; while Mind Network has built the 'trust foundation' that supports these connections.

FHE is the key to 'trusting AI'; AgenticWorld is the world where 'you can entrust more AI to make autonomous decisions.'

We are moving toward an Agentic AI-dominated future. The question is no longer 'Can AI do it?' but 'Are we willing to let it do it?' In this process, Mind Network provides a possibility: making AI both powerful and trustworthy.

Now is the best time to mint your first AI Agent, becoming an early builder of AgenticWorld and laying down your personal infrastructure for the future.