As the Ethereum Layer 2 narrative gradually takes shape, AI, DePIN, and privacy computing have become fertile ground for the next narrative explosion. This once niche direction of privacy computing is quietly becoming an indispensable piece of the AI infrastructure puzzle. This is the original intention behind the birth of Mind Network— to build the privacy infrastructure for Agentic AI. Its vision is to create an 'end-to-end encrypted, zero-trust data infrastructure' and it has already secured a place in the privacy AI track.

Mind Network is promoting an intelligent future driven by privacy, autonomy, and Fully Homomorphic Encryption (FHE). It has developed from a technological vision to a mature protocol stack in just over a year, gaining support from top institutions and over 2 million CitizenZ users. Based on Fully Homomorphic Encryption (FHE), it is dedicated to building privacy, learning, and expansion capabilities for on-chain AI.

What exactly is Mind Network doing, and how solid is its technological foundation?

Core technologies: FHE + Zero Trust + Data Layer

✅ 1) Fully Homomorphic Encryption (FHE)

This is one of the most hardcore encryption technologies. FHE allows calculations to be performed directly on encrypted data, enabling AI training and result derivation without decryption. Mind Network has developed FHE-VM and integrated it into the Agent model, achieving true 'encrypted inference'. Moreover, they are compatible with Zama's TFHE and are ahead of most projects in the implementation of FHE.

✅ 2) Zero Trust Architecture

The architecture of Mind is Zero Trust based, meaning: no node, service, or application, whether on-chain or off-chain, is trusted by default. This ensures that the entire data lifecycle operates under encryption and authorization, greatly reducing the risk of data leakage.

✅ 3) Decentralized Data Lake

Mind is not just a 'security layer', but a complete data infrastructure that provides data storage, encryption management, access control, and cross-chain permission inheritance (Identity Layer). Based on this, Mind can serve various scenarios such as AI applications, DePIN networks, ZK proof systems, and Modular Stacks.

Real applications of Mind Network

  • World AI Health Center: Protecting cross-hospital medical data collaboration

  • Swarms Shield: Preventing communication in multi-agent systems from being intercepted

  • DeepSeek: Ensuring inference security of open-source models in untrusted environments

  • Allora: Encrypted computation + verifiable output, building trust


    And it has been opened:

  • 20+ Agent Centers

  • 40+ FHE SDK modules

  • 3000+ Agent security protections

How to activate your Agent AI with $FHE and earn profits?



You can now activate your Agentic AI by staking just 10 $FHE.

AgenticWorld offers two types of Hubs to train Agentic AI and earn rewards.

Currently, the expected APY can reach 400%. After the subsequent activities, the staking standard will change to 100 $FHE, so don't miss out!

The basic training Hubs currently developed include FCN (FHE Consensus), FDN (FHE Decryption), and RandGen (Random Number Generation). In the future, AgenticWorld will launch more advanced Hubs covering applications such as multi-agent consensus, medical AI, and decentralized reasoning.

I am honored to witness the rise of a brand new intelligent society:

Agent AI is no longer just a tool; they will become new citizens of the digital world.

And Mind Network is building a trustworthy home for them.

#MindNetwork全同态加密FHE重塑AI未来