Chapter 1: Introduction - The Intersection of Cryptographic Technology and AI
With the rapid development of artificial intelligence (AI) and Web3 technologies, data privacy and computational security have become core challenges. Traditional internet protocols (such as HTTPS) can only protect data during transmission, but once data reaches the server or is computed, it is exposed to cloud service providers or third parties, leading to serious privacy leakage risks. In the decentralized Web3 environment, the transparency of data further exacerbates security issues. Meanwhile, the rise of quantum computing poses a threat to traditional encryption methods, potentially breaking existing encryption algorithms, creating an urgent need for quantum-resistant solutions.
Mind Network was born to build a fully encrypted internet infrastructure through Fully Homomorphic Encryption (FHE) technology. FHE is hailed as the 'Holy Grail' of cryptography, allowing computations to be performed directly on encrypted data without decryption, ensuring that data remains encrypted throughout its entire lifecycle, from storage to transmission and computation. Mind Network not only provides quantum-resistant security guarantees for AI and blockchain applications but also seeks to establish new privacy and trust standards for the Web3 and AI ecosystems through the development of HTTPZ (Zero Trust Internet Protocol).
This article will delve into the core technologies, product ecosystem, strategic partnerships, market impact, and future potential of Mind Network, aiming to provide readers with a comprehensive perspective to understand how this project is reshaping the future of AI and Web3.
Chapter 2: Overview of Mind Network
2.1 Project Background and Mission
Mind Network was founded in 2022 by three founders: Christian Pusateri, Mason Song, and George Shao. All three have extensive experience in AI and blockchain and are committed to solving the challenges of data privacy and computational security in decentralized systems. The mission of Mind Network is to build a zero-trust digital ecosystem that ensures data security throughout its lifecycle while empowering innovation in decentralized AI and Web3 applications.
According to official sources, Mind Network has received support from well-known investment institutions, including Binance Labs, Cogitent, Hashkey Capital, Animoca Brands, and Chainlink, with a total funding amount of $12.5 million. On September 26, 2024, Mind Network announced the completion of a $10 million Pre-A round of financing, further accelerating the development of its FHE infrastructure. Additionally, the project has received two research grants from the Ethereum Foundation, highlighting its academic and technical value in the FHE field [Web ID: 18] [Web ID: 21].
2.2 The Core Value of Fully Homomorphic Encryption (FHE)
$FHE is an advanced cryptographic technology that allows mathematical operations to be performed directly on encrypted data without the need to decrypt it. This feature fundamentally changes the limitations of traditional encryption. Previous encryption methods, such as AES or RSA, required data to be decrypted during computation, exposing data on the server side. In contrast, FHE can perform complex operations like addition and multiplication without decrypting, ensuring data privacy while supporting computational needs.
Another significant advantage of FHE is its resistance to quantum attacks. With the development of quantum computing technology, traditional encryption algorithms (such as RSA and ECC) may be broken by quantum computers in the future. FHE, based on lattice cryptography, is considered one of the quantum-resistant encryption schemes, providing security for digital assets in the future.
However, the computational overhead of FHE has been considered high, making it difficult to apply in practical scenarios for a long time. Mind Network has brought FHE from academic research to practical applications by optimizing FHE algorithms and infrastructure, particularly in the fields of AI and blockchain. Mind Network's innovation lies in not using FHE for all computational tasks (such as AI model training) but applying it to specific decentralized scenarios (such as verification, consensus, and voting), thereby balancing performance with security needs [Web ID: 7].
Chapter 3: Core Products and Technologies of Mind Network
Mind Network has built a multi-layered product ecosystem around FHE technology, including AgenticWorld, MindChain, and FHEBridge, aimed at providing secure and scalable infrastructure for decentralized AI and Web3 applications.
3.1 AgenticWorld: A Privacy-Preserving Ecosystem for Decentralized AI
AgenticWorld is one of Mind Network's core products, focused on providing a trusted decentralized ecosystem for intelligent AI agents (Agentic AI). This product has been deployed on BNB Chain and MindChain, supporting over 54,000 AI agents and completing over 1.2 million hours of training tasks. The goal of AgenticWorld is to provide privacy protection and verifiable security guarantees for AI agents through FHE technology.
3.1.1 Features and Characteristics
Privacy Protection: Through FHE technology, AgenticWorld ensures that AI agents maintain encrypted data when handling sensitive information. For instance, AI agents in finance can conduct risk analysis directly on encrypted data without exposing user privacy.
Decentralized Training: Users can subscribe to or create AI agents through AgenticWorld to participate in decentralized training tasks. Both training data and results are encrypted via FHE to prevent data leakage.
High-Yield Staking: AgenticWorld has launched a limited-time staking event, allowing users to stake $FHE tokens for up to 400% annual percentage yield (APY), attracting numerous users to participate in ecosystem building.
3.1.2 User Roles
AgenticWorld supports multiple user roles to participate:
Developers: Build custom AI agents and smart hubs, contributing functionalities to the ecosystem.
End Users: Subscribe to AI agents and train agents to complete specific tasks, such as data analysis or automated trading.
Partners: Connect different blockchains and services, expanding the application scenarios of AgenticWorld.
Researchers: Explore the collaboration mechanisms of AI agents and the application of FHE in AI [Web ID: 3].
3.1.3 AgentConnect Module
Mind Network recently launched the AgentConnect module, which connects AI agents through an encrypted graph structure, evolving them from isolated individuals into a collaborative ecosystem. By 2025, over 1.4 million users have registered to participate in the construction of the AgentConnect Hub, demonstrating high community activity [Web ID: 1].
3.2 MindChain: The First AI FHE Chain
MindChain is the world's first FHE chain dedicated to artificial intelligence, designed to provide a secure and verifiable computing environment for AI agents and decentralized applications. MindChain uses ETH as its native gas token and has established bridges with Ethereum, BNB Chain, and Arbitrum, with plans to integrate Solana in the future.
3.2.1 Architectural Design
The architecture of MindChain consists of four key layers:
AI Agent Layer: Provides interfaces for AI agents in Web2 and Web3, supporting cross-domain collaboration.
Expansion Layer: Provides comprehensive security solutions, including FHE encryption and Zero-Knowledge Proofs (ZKP).
Base Layer: Contains the FHE Consensus Network (FCN), FHE Decryption Network (FDN), and True Random Number Generator (Randgen), ensuring the security of computation and consensus.
Service Layer: Integrates decentralized services through Hub, supporting diverse application scenarios [Web ID: 3].
3.2.2 Application Scenarios
MindChain has partnered with multiple projects, including Swarms, ai16Z, Viturals, and Spore.fun, covering areas such as multi-agent systems, FHE + Trusted Execution Environment (TEE), and encrypted inference. In the future, MindChain plans to expand into healthcare, education, and finance, providing secure computing support for more sensitive data scenarios [Web ID: 1].
3.3 FHEBridge: Secure Cross-Chain Communication
FHEBridge is the cross-chain communication bridge developed by Mind Network in collaboration with Chainlink, utilizing Chainlink's Cross-Chain Interoperability Protocol (CCIP) and Invisible Address Protocol (SAP). FHEBridge supports secure, quantum-resistant, and privacy-protecting transactions between Ethereum, Polygon, Arbitrum, and BNB Chain, supporting tokens such as ETH, MATIC, USDC, and FHE.
3.3.1 Features and Advantages
Privacy Protection: Through FHE and SAP technology, FHEBridge ensures the privacy of cross-chain transactions, hiding the identities and amounts of both parties.
Quantum Resistance: FHE technology based on lattice cryptography protects cross-chain transactions from quantum computing attacks.
Wide Applicability: Supports various mainstream tokens and blockchains, meeting cross-chain needs in DeFi, gaming, and other scenarios [Web ID: 3].
Chapter 4: Strategic Partnerships and Ecological Expansion
Mind Network has accelerated its technology and ecosystem development through collaborations with industry leaders.
4.1 Integration with DeepSeek
In February 2025, DeepSeek integrated its open-source code library with Mind Network's FHE Rust SDK, becoming the first AI platform to adopt FHE technology. This integration allows DeepSeek's AI agents to perform computations on encrypted data, ensuring data privacy while maintaining computational performance and accuracy. DeepSeek's AI agents have been widely applied in finance, education, and other fields, with Mind Network's FHE technology providing additional security guarantees [Web ID: 1].
4.2 Partnership with Zama
Mind Network collaborated with FHE leaders Zama to become the first project to implement TFHE-rs v1.0.0 (Zama's first production-ready FHE library) in practical applications. Both parties jointly developed the HTTPZ protocol, aiming to upgrade HTTPS to a fully encrypted internet standard. HTTPZ not only encrypts data transmission but also ensures that data remains encrypted during storage and computation, eliminating the need for trust in intermediaries [Web ID: 9].
4.3 Partnership with Chainlink
Mind Network collaborated with Chainlink to develop FHEBridge and built the first FHE interface on Chainlink CCIP. This collaboration enhances the security of cross-chain communication, providing a more trusted cross-chain experience for Web3 users. Additionally, Mind Network has partnered with the Chainlink BUILD program to further expand its ecological impact [Web ID: 2].
4.4 Open Source Contributions
Mind Network actively contributes to the open-source community, releasing multiple FHE-Rust code libraries, including the FHE Consensus Network (FCN) and Swarms-rust, for encrypted consensus and cross-chain messaging. These open-source modules not only promote the popularization of FHE technology but also provide developers with tools to build privacy-protected applications [Web ID: 21].
Chapter 5: $FHE Token and Economic Model
5.1 Overview of the $FHE Token
$FHE is the native token of Mind Network, serving as both a utility token and a governance token. The total supply of tokens is 1 billion, with an initial circulation of 24.9%. $FHE achieves seamless interoperability between MindChain, Ethereum, and BNB Smart Chain through the official MindChain bridge [Web ID: 15].
5.1.1 Token Functions
Payment Fees: Used to pay for private computing costs and training tasks in AgenticWorld.
Governance: $FHE holders can participate in MindDAO and Hub proposals, deciding the future development of the ecosystem.
Staking Rewards: Users can earn rewards by staking $FHE to participate in training agents or contribute computing resources. Current promotional staking APY is as high as 400%.
Cross-Chain Operations: Supports asset transfer and operations in a multi-chain ecosystem [Web ID: 4].
5.1.2 Token Economics
To ensure fairness and community-driven governance, Mind Network commits to not unlocking tokens for the team, investors, or advisors in the first year after the Token Generation Event (TGE). This strategy enhances community trust in the project while promoting the long-term development of the ecosystem [Web ID: 15].
5.2 Market Performance and Community Support
According to posts on platform X, since $FHE launched on Binance Alpha, its cumulative price increase has reached 265%, achieving a new high in April 2025. This performance reflects the market's strong interest in the FHE narrative. The Mind Network community has also shown high activity, with over 2.2 million active wallets and 550,000 followers [Web ID: 2] [Post ID: 4].
Chapter 6: HTTPZ - The New Standard for Web3 Privacy
6.1 The Significance of HTTPZ
Mind Network collaborates with industry leaders such as Zama to develop HTTPZ, a zero-trust internet protocol. HTTPZ is a major upgrade from HTTPS; while HTTPS only encrypts data transmission, HTTPZ ensures that data remains encrypted throughout its entire lifecycle, including storage, transmission, and computation. This feature eliminates the need for trust in intermediaries (such as cloud service providers), providing a true zero-trust environment for the Web3 and AI ecosystems.
Vitalik Buterin, co-founder of Ethereum, emphasized the importance of privacy for decentralization in his April 2025 article, listing FHE and Zero-Knowledge Proofs (ZKP) as key technologies for Web3 privacy infrastructure. Mind Network's HTTPZ directly responds to this demand, aiming to become the secure foundation for Web3 and AgenticWorld, just as HTTPS became the standard for Web1 [Web ID: 2].
6.2 Application Scenarios of HTTPZ
Encrypted AI Inference: Supports AI models performing inference on encrypted data, ensuring data privacy.
Verifiable Agent Computing: Provides verifiable computation results for AI agents while protecting data privacy.
Cross-Chain Communication: Achieves secure cross-chain messaging and asset transfer through FHEBridge.
Privacy-Preserving Voting: Implements anonymous and verifiable voting in decentralized governance [Web ID: 2].
Chapter 7: Real-World Applications and Impact
Mind Network's technology has been applied in various fields, demonstrating its wide applicability.
7.1 Healthcare: World AI Health Hub
Mind Network and Zama launched the World AI Health Hub, utilizing FHE technology to enable secure biomedical data exchange. This platform allows multiple institutions and jurisdictions to share encrypted data for medical research and diagnosis while protecting patient privacy [Web ID: 2].
7.2 Finance: DeepSeek Integration
DeepSeek's AI system has achieved privacy-protected financial data analysis through the integration of Mind Network's FHE technology. For example, banks can utilize DeepSeek's AI agents to conduct risk assessments on encrypted data without exposing customer information [Web ID: 1].
7.3 Multi-Agent Collaboration: Swarms Corp
Mind Network collaborates with Swarms Corp to utilize FHE technology to provide a secure collaborative environment for multi-agent systems. The Swarms Shield module supports secure communication, key sharing, and private voting among agents, ensuring privacy and efficiency during the collaboration process [Web ID: 22].
7.4 DeFi and Gaming
Mind Network's FHE infrastructure has also been applied in the fields of DeFi and gaming. In DeFi, FHEBridge supports privacy-protecting cross-chain transactions; in gaming, FHE technology protects in-game data and digital asset markets from cheating and data leakage [Web ID: 21].
Chapter 8: Future Potential and Challenges
8.1 Future Development Plans
Mind Network's future plans include:
Advanced Training Environment: Launch more complex AI agent training tools to improve training efficiency and effectiveness.
Real-World Applications: Expand AgenticWorld to more industries, such as education, healthcare, and finance.
Cross-Chain Coordination Tools: Develop more robust cross-chain solutions to support collaboration in multi-chain ecosystems.
Community Governance: Achieve completely community-driven governance through MindDAO [Web ID: 15].
8.2 Challenges Faced
Despite significant progress, Mind Network still faces several challenges:
Performance Optimization: The computational overhead of FHE is high, and how to improve performance while maintaining security is a technical challenge.
Market Competition: There are other competitors in the FHE field, such as Zama and Fhenix, and Mind Network needs to maintain its lead in technology and ecosystem development.
User Education: The concepts of FHE and HTTPZ are relatively complex, and educating ordinary users to understand and accept these technologies is a challenge for promotion.
Chapter 9: Conclusion
Mind Network brings revolutionary privacy and security solutions to the AI and Web3 ecosystems through Fully Homomorphic Encryption (FHE) technology. Its core products, AgenticWorld, MindChain, and FHEBridge, provide secure and scalable infrastructure for decentralized AI and cross-chain applications. Collaborations with industry leaders such as DeepSeek, Zama, and Chainlink further consolidate Mind Network's leading position in the FHE field.
The development of the HTTPZ protocol marks Mind Network's vision for the future internet: a fully encrypted, zero-trust digital ecosystem. Just as HTTPS became the standard for Web1, HTTPZ is expected to become the infrastructure for Web3 and AI ecosystems, providing users with true digital sovereignty and privacy protection.
With the launch of the $FHE token and the rapid growth of the community, Mind Network is transitioning from a technical vision to a vibrant ecosystem. Despite challenges in performance optimization and market competition, Mind Network, backed by its technological innovation, strategic collaborations, and community support, is poised to become a key infrastructure in the AI and Web3 fields, laying a solid foundation for a decentralized future.