📝 Friends, as AI Agents transition from science fiction to reality, they are gaining stronger autonomy and collaborative capabilities.

However, the more powerful they become, the more vigilant we must be about security issues, such as how to share data without leaking it. Mind Network provides an elegant solution using a cutting-edge cryptographic technology called Fully Homomorphic Encryption (FHE), creating a truly secure and trustworthy collaborative space for agents.

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1. Core concepts of Mind Network

1. Objective:@Mind Network To build a trust operating system based on FHE technology that supports the safe operation of AI Agents with autonomous decision-making capabilities, addressing four major challenges: consensus security, data security, computation security, and communication security.


2. Core technology: Fully Homomorphic Encryption (FHE), allowing direct computation on encrypted data without decryption, thus protecting privacy. FHE is regarded as the 'Holy Grail' of cryptography, originally built on lattice cryptography, and is expected to be approved by NIST in 2024, becoming a major post-quantum encryption standard.

3. Key products: ▪ HTTPZ: A new generation protocol that achieves end-to-end encryption and supports zero-trust networking.

▪ MindV Hubs: Training and collaboration base for AI agents.

▪ AgenticWorld: Building a trusted AI simulation environment that supports multi-agent coexistence.

▪ MindChain: The first FHE blockchain for AI, bridging the trust gap between Web2 and Web3.

4. Financing and collaboration: Secured investment from Binance Labs and established partnerships with several well-known projects and institutions including Zama, Chainlink, Phala Network, Swarms, io.net, Allora, and DeepSeek.

5. Token $FHE: The fuel and governance core of the ecosystem, used to activate agents, pay for services, and reward contributions.

2. The multi-agent consensus problem faced by AI Agents

1. Limitations of a Single Agent: Limited capability, lack of cross-validation, inability to leverage external forces, etc.

2. Advantages of Multi Agents: They can specialize, share, and cross-verify with each other, already applied in projects such as Questflow, MetaGPT, ai16z, and Swarms.

3. Consensus challenges of Multi Agents: It is difficult to unify consensus, and different Agents may provide contradictory suggestions. Data is prone to leakage and involves privacy, leading to potential issues if not careful. Collaboration requires trust, internal threats must be prevented, and behaviors must be verifiable and tamper-proof.

3. How FHE provides necessary conditions for AI Agents

1. Identity recognition and authentication

Generate encrypted identity credentials through FHE, ensuring that agent identities are unique and cannot be forged. For example, ASI Hub provides verifiable identities for AI agents to prevent malicious nodes from impersonating.

2. Secure computing environment

From input to computation to output, data is encrypted throughout the process, and even verification nodes cannot see plaintext. Mind Network's FHE Chain allows AI to perform reinforcement learning on encrypted data, ensuring privacy during model training.

3. Decentralized consensus mechanism

Multi-agent systems (such as perception-decision agents in autonomous driving) achieve consensus through FHE, for example, encrypted voting for emergency braking commands, avoiding single points of failure.

4. Verifiable computation and auditing

FHE makes the model running process transparent, generating verifiable computation traces to prevent covert tampering. DeepSeek Hub has introduced the FHE framework to ensure the credibility of open-source models.

4. Necessary conditions for the future Agentic World and the core role of FHE

In a future world with millions of AI agents collaborating, the following foundations are required: privacy and data sovereignty, where users must have complete control over data usage rights, and agents can only process encrypted information. Decentralized consensus, where agents must reach decision consistency through a zero-trust mechanism to avoid centralized control. Scalable computing architecture, supporting large-scale parallel processing of agents, such as Mind Network's MindChain designed for AI with high throughput.


All of this underlying security assurance comes from FHE (Fully Homomorphic Encryption). It encrypts data throughout the entire process from transmission, storage to computation, creating the HTTPZ protocol to replace traditional HTTPS, becoming a new security standard in the Web3 era. More importantly, it also possesses quantum resistance, building a long-term security defense for the Agentic World.


5. The combination of AI and blockchain: FHE's role as a security infrastructure

It enables private and secure interactions between multi-chain agents. For example, DeFi agents on Ethereum can share data with gaming agents on BNB Chain, achieving privacy-preserving cross-chain calls through Chainlink CCIP. At the same time, FHE is also innovating consensus mechanisms, no longer relying on plaintext verification, but achieving verifiable randomness under encryption, such as ASI Hub supporting on-chain generation of tamper-resistant random numbers.

FHE is the core of DeCC (Decentralized Confidential Computing), supporting nodes to complete highly sensitive tasks without exposing data, widely applicable in fields such as healthcare and finance. Ultimately, FHE could even reshape internet security architecture, promoting the implementation of the HTTPZ zero-trust protocol, allowing AI agents to communicate freely and securely in a fully encrypted environment without relying on any intermediary trust.

6. Why FHE is indispensable

Mind Network is not only engaged in privacy computing but is paving the way for AI Agents using the advanced technology of FHE, creating infrastructure that balances security and usability. In scenarios like finance and healthcare, which have high privacy requirements, FHE is indeed a necessity. Today, Mind's Rust SDK has been integrated by DeepSeek, with performance continuously being optimized. As Vitalik said: FHE + AI is the ultimate solution for privacy.