I. Project Introduction
Mind Network is the world's first FHE (Fully Homomorphic Encryption) blockchain project specifically designed for AI agents, aiming to address data privacy, consensus security, and cross-chain collaboration challenges in the Web3 and AI domains through end-to-end encryption technology. Its core technologies, HTTPZ (FHE-based internet protocol) and AgenticWorld (agent collaboration ecosystem), provide AI agents with a quantum-resistant, zero-trust operating environment. Mind Network's technology stack includes core products such as AgenticWorld (AI agent economic system), MindChain (the world's first FHE public chain), and FHEBridge (encrypted cross-chain bridge), supporting secure AI agents, encrypted blockchain transactions, and privacy-preserving cross-chain asset transfers. Its native token $FHE is used to activate AI agents, pay for privacy computing, governance, and cross-chain interactions, serving as the fuel for the entire ecosystem.
II. The Revolutionary Potential of Mind Network
With the maturity of large language models (LLMs) and autonomous decision-making systems, AI agents are becoming a digital extension of human activities. Individual users, enterprises, and even society as a whole will rely on these agents to complete decision-making tasks such as automated asset management, collaborative medical diagnosis, and supply chain optimization. However, this process faces four core security challenges:
Consensus issue: How can agents reach consensus in a decentralized and privacy-preserving manner?
Verification issue: How can we ensure the trustworthiness of model inputs, outputs, and inference logic?
Encryption issue: How can we ensure the privacy and security of sensitive data during cross-agent and cross-chain transmission?
Composability issue: How can agents on different chains collaborate efficiently?

III. Team Introduction
The Mind Network team members come from renowned institutions such as Cambridge University, Google, and Microsoft, possessing a deep background in cryptography and AI R&D. The team has received two research grants from the Ethereum Foundation and was the first to solve the privacy address problem proposed by Vitalik Buterin.
In terms of ecological collaboration, Mind Network has received investments from top-tier capital sources such as Binance Labs, Chainlink, Zama, Animoca Brands, and Hashkey. It has become a signed Channel Partner of Chainlink and has partnered closely with Zama to be the first to apply TFHE-rs v1.0.0 in practical scenarios.
IV. Technical Highlights and Innovations
Fully Homomorphic Encryption (FHE)
Mind Network employs cutting-edge FHE technology to perform direct computations on encrypted data, enabling data processing without decryption. This technology has the following advantages:
Data is encrypted throughout the process, greatly enhancing privacy and security.
Support for privacy-preserving machine learning and agent tasks.
Zero-trust computing, the computing process does not require trust in third parties.
Quantum attack resistance, using lattice-based cryptography, ensuring future security.
HTTPZ Protocol
Mind Network's self-developed HTTPZ protocol integrates FHE into network transmission protocols, achieving end-to-end encryption for data transmission, storage, and computation, creating a truly zero-trust internet.
Modular Infrastructure
Mind Network adopts a modular design, allowing developers to flexibly integrate different components according to needs, facilitating the construction of diverse privacy protection applications.
Cross-chain Privacy and Restaking
Supports restaking of ETH, BTC, and AI assets as an FHE verification network, providing privacy-enhanced consensus and security services for key networks such as PoS, AI, DePIN, EigenLayer, and Babylon AVS.

V. Ecological Collaboration and Application Scenarios
1. Partner Application Scenarios

2. Typical Application Cases
Medical Data Analysis: Using FHE to encrypt patient data, enabling cross-hospital collaborative diagnosis while protecting privacy.
Smart Investment Decisions: Multi-agent collaboration generates encrypted predictions, which users decrypt to execute trades, avoiding data leakage.
Decentralized Inference: Allora collaborates with Mind Network to realize an AI inference process with input encryption and output verification.
Conclusion
The IDO price on April 10, 2025, was $0.015, with a current market capitalization of approximately $25 million, a fully diluted valuation (FDV) of about $106 million, a historical high of $0.108, and a current ROI of over 7 times.
Mind Network, centered on FHE technology, is building a secure, autonomous, and collaborative world of agents. Its AgenticWorld ecosystem provides a foundation of quantum resistance and privacy protection for AI agents through staking incentives, cross-chain bridging, and multi-agent collaboration. With the success of the TGE and deepening ecological collaborations, Mind Network is expected to become a core infrastructure in the AI security field, promoting the deep integration of Web3 and AI. The $FHE token, as the fuel for the ecosystem, is widely used in scenarios such as activating AI agents, privacy computing payments, governance voting, and cross-chain asset transfers, possessing multiple intrinsic value supports.