We are entering an unprecedented era—

AI is no longer just a model but individual agents that can actively learn, collaborate, and trade;

And blockchain is no longer just an asset ledger but has become the 'trust protocol' for their collaboration.

But when thousands of AI entities begin to operate on the chain—learning, communicating, making requests, executing tasks...

You will find that a question more important than 'smart' is:

Can they be trusted? Can we enable them to collaborate safely with each other?

This is exactly what @Mind Network aims to solve.

💡 What can blockchain bring to AI when it becomes an agent?


For agents to operate normally, there must be identity, tasks, incentives, collaboration mechanisms...

These things that look like 'institutions' cannot be constructed by AI itself.

And blockchain happens to provide the infrastructure for all this:

Use DID and on-chain identity to solve the agent's 'Who am I?';

Establish collaboration relationships and trading rules using smart contracts;

Drive agents to continuously evolve using on-chain incentive models;

More importantly, eliminate trust anxiety with decentralized mechanisms.

But these are just the basics; without a 'secure computing + privacy protection' operating environment, AI could also become a new 'privacy black hole.'

This leads to the truly critical technological foundation: FHE, fully homomorphic encryption.

🔐 FHE: Allowing AI to achieve 'understanding' and 'decision-making' without knowing.

In simple terms, the power of FHE lies in:

'Even if the data is encrypted, computation can still be performed without decryption.'


For example:

You do not need to tell the AI your identity; it can determine if you are a compliant user;

You do not hand over transaction records, and it can still analyze your trading style;

Even if you do not provide the original data, it can still participate in model training and customize strategies for you.

Data remains encrypted at all times, computation is completed in encrypted form, yet the results are still valid.

This not only protects privacy but also makes the AI collaboration environment more like a 'world with rules,' somewhat like the 'three laws of motion' in the physical world—transparent, unified, and immutable.

Mind Network is built around FHE, creating a trustworthy operational universe for AI, codenamed: AgenticWorld.

🌐 AgenticWorld: A deployed world of encrypted intelligent agents


Mind Network is not just talking about the future of 'AI + blockchain,' but has already started to land:


🌟 Online over 54,000 Agents, each with independent identities and encrypted operating spaces;

💻 Accumulated over 1.2 million hours of training tasks; collaboration among AIs has become the norm;

💰 Current APY for staking activities in the ecosystem is as high as 400%, attracting a large number of developers and early users.

These AI agents are not silently training on centralized cloud servers but are genuinely operating on-chain:

Enter the network through identity registration, possessing an auditable 'self';

Collaborative computing in the encrypted space, protecting data while outputting value;

Utilize the HTTPZ protocol supported by FHE for cross-border communication and collaboration on-chain and off-chain.

📡 HTTPZ: A new generation of 'internet protocol' designed for the AI world.


The traditional HTTP protocol was never designed for AI or privacy.

When AI accesses sensitive information such as social data, transaction records, and profile preferences, HTTP cannot guarantee that data will not be misused.

HTTPZ is a foundational protocol innovation launched by Mind Network, specifically designed for the AI world, featuring three major characteristics:

1. End-to-end encryption + verifiable operation, the entire process is conducted in encrypted form;

2. Agent identity mechanisms; AI has registration, permission, and authorization systems, no longer floating anonymously;

3. Support collaboration in DeCC (decentralized confidential computing) environments, bridging on-chain/off-chain boundaries.

This protocol has been tested and landed on MindChain, receiving joint promotion from multiple protocol partners like Chainlink, Zama, Phala, and Swarms.


🧠 Identity, collaboration, trust mechanisms: Necessary conditions for AgenticWorld


An AI entity can operate long-term and 'become more useful' with five key supports:

1. Clear identity (on-chain registration + FHE protection)

2. A secure operating space (encrypted computation + verifiable tasks)

3. The ability to collaborate (task interoperability among agents, composable on-chain)

4. Incentive and restriction mechanisms (Token economy + privacy authorization)

5. Data sovereignty and access control (you decide, not the platform)

FHE plays a key role in all five of these aspects:

Provide 'privacy-secure identity systems' for agents;

Protect the training space from being snooped on;

Establish rules and consensus for trustworthy computing;

Achieve safe collaboration among multiple agents on-chain;

And by 'computing authorization rather than data exposure,' redefine your relationship with AI.

🔄 The future of authorization: under what circumstances would you allow AI to read your privacy?


This is a real and sharp question:

We hope AI understands us better, but we do not want to hand over all our data.

Are you willing to authorize AI to access your wallet address? Transaction preferences? Social network?

In the design of Mind Network, you can 'only authorize task results, not original data.'

For example:

✅ You let AI determine if you are compliant; it only knows the conclusion and does not store identity documents;

✅ You authorize the AI to participate in strategy training; it can only access desensitized encrypted data fragments;

✅ You let AI provide medical advice; it only accesses 'analysis tasks,' not your health report.

This is truly controllable authorization and genuinely respects user data sovereignty.

📈 From integrating DeepSeek to industry standards, Mind Network's position is becoming apparent.

Mind Network is the first FHE project integrated into the DeepSeek large model codebase,

and has also received support from multiple top institutions such as Binance Labs, Hashkey, Cogitent, Animoca, and Chainlink.

It is not only a promoter of FHE technology but is also becoming a standard setter for privacy computing.

🧭 In conclusion:

AI is becoming a new generation of productivity, but whether it can become a 'trusted force' depends on what kind of infrastructure we provide for it.

Mind Network has built a complete underlying architecture using FHE,

from identity to data protection, from authorization mechanisms to cross-chain communication,

step by step paving the 'civilization order' of 'trust and privacy coexistence' for AgenticWorld.

In the future, we may collaborate, converse, and make decisions with multiple AIs every day,

but you need not worry about privacy exposure, nor about centralized AI abusing power.

What you need to think about is: how to make AI serve you, helping you live and work more efficiently.

This is the value of FHE and the original intention of Mind Network.

If you want to understand the future picture of AgenticWorld or explore the landing opportunities of AI + blockchain, you are welcome to step into the new world constructed by Mind Network.



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