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Mind Network

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A pioneer in quantum-resistant FHE infrastructure | Backed by @BinanceLabs | BUILD Program @chainlink| @ethereum Fellowship Grant | @deepseek_ai Contributor
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Deterministic Key Generation and Privacy. Our research introduces a method to derive secure RSA keys directly from Web3 wallets, utilizing the unique entropy of ECDSA signatures as the seed. By applying SHA256 and AES Counter Mode, we transform a static signature into a robust Pseudo-Random Number Generator (PRNG). This architecture anchors security in user sovereignty. It eliminates dependency on external storage and intermediaries. For @mindnetwork_xyz , this is the essence of Zero Trust: minimizing reliance, maximizing mathematical proof. Randomness stems from cryptography. Privacy and ownership stem from real math. $FHE
Deterministic Key Generation and Privacy.

Our research introduces a method to derive secure RSA keys directly from Web3 wallets, utilizing the unique entropy of ECDSA signatures as the seed.

By applying SHA256 and AES Counter Mode, we transform a static signature into a robust Pseudo-Random Number Generator (PRNG).

This architecture anchors security in user sovereignty. It eliminates dependency on external storage and intermediaries.

For @mindnetwork_xyz , this is the essence of Zero Trust: minimizing reliance, maximizing mathematical proof.
Randomness stems from cryptography.

Privacy and ownership stem from real math.

$FHE
There is no shortcut to trust. We are honored to be a Cointelegraph TGE case study. āœ…Tech maturity before TGE āœ…Ecosystem-first growth āœ…Stability-focused tokenomics Crucial insights as we pave the way for the FHE and AI-driven Web3 era.
There is no shortcut to trust.

We are honored to be a Cointelegraph TGE case study.

āœ…Tech maturity before TGE

āœ…Ecosystem-first growth

āœ…Stability-focused tokenomics

Crucial insights as we pave the way for the FHE and AI-driven Web3 era.
From Build to FHE: How Mind Network and Chainlink are Building the Future of Privacy in Web3A shared judgment on the future of Web3 is evolving into a technological fusion that defines next-generation infrastructure. This article will frame the journey of Mind Network and Chainlink for the Mind Network community. The starting point of this story is a profound insight: If ZKP (Zero-Knowledge Proofs) solved the problem of verifiability for Web3, thenĀ FHE (Fully Homomorphic Encryption) will solve the problem of confidential computing. This journey demonstrates how a shared commitment evolves into a deep engineering implementation based on FHE. Phase 1: Starting with Strategic Trust and Ecosystem Building (Build) ā€œIf we want a civilization with privacy, we have to make it. We have to be computers, cryptographers, and… build the systems that give us the privacy we want.ā€ā€”Neal Stephenson, Cryptonomicon This call to action fromĀ CryptonomiconĀ is the spiritual core of Mind Network. Privacy is not the default; it must be actively built. When Mind Network announced its first $2.5 million seed round, Chainlink was already listed as a ā€œkey strategic partner.ā€ Mind Network shares a common goal with institutions like Binance Labs and Consensys: ā€œto enhance the security and data privacy of the entire Web3 ecosystem.ā€ This strategic alignment materialized in January 2023:Ā Mind Network officially joined the Chainlink Build program. Joining Build was a public declaration of commitment. The goal was clear: to accelerate the adoption of the ā€œdecentralized privacy-preserving data lake.ā€ Through this program, Mind Network gained expert technical guidance and vast ecosystem resources from the Chainlink Labs team. To achieve deep ecosystem alignment, Mind Network committed 3% of its total native token supply to Chainlink service providers (including stakers). This commitment has recently begun to be actualized throughĀ Chainlink Rewards Season 1. In this program, Mind Network’s native token (FHE) will be claimable by eligible LINK token stakers. This not only strengthens the economic security of the Chainlink network but also allows Mind Network’s token to be deeply integrated into Chainlink’s ecosystem. Learn more here:Ā https://blog.chain.link/chainlink-rewards-season-1 Phase 2: From ā€œHTTPā€ to ā€œHTTPZā€ ā€œPrivacy is not secrecy… Privacy is the power to selectively reveal oneself to the world.ā€Bruce Schneier, renowned cryptographer and security thinker Bruce Schneier provides the best technical definition of ā€œprivacyā€: it is about ā€œcontrol.ā€ FHE (Fully Homomorphic Encryption) is the ultimate technology for achieving this control. This collaboration quickly pivoted to core technology integration to solve one of the industry’s most difficult challenges: cross-chain security and privacy. Web2’s HTTPS protocol only encrypts data ā€œin transit.ā€ Web3 needs a protocol that encrypts data ā€œin transit, at rest, andĀ in use.ā€ This isĀ HTTPZ, a true Zero-Trust Network. In May 2024, FHE engineering breakthroughs led to theĀ FHE Bridge, an institutional-level product developed by Mind Network using Chainlink CCIP. This revolutionary solution is the first to simultaneously solve the dual challenges of cross-chain security and computational privacy: The Quantum-Resistant Encryption Layer (FHE):Ā The FHE algorithms are based on lattice cryptography, making them inherently resistant to quantum computing attacks. It allows computation and validation directly on encrypted data, which is the key to achieving a true ā€œHTTPZ.ā€The Interoperability Standard (CCIP):Ā As the industry-standard cross-chain solution, Chainlink CCIP provides the FHE Bridge with an unparalleled foundation of security and messaging capabilities. In simple terms:Ā When a user interacts with the FHE Bridge, MindSAP (FHE stealth address protocol) encrypts the user’s transactional intent and addresses. The FHE validation nodes can then compute the validity of the transactionĀ without ever decryptingĀ this information. Finally, the instructions and assets are securely transmitted to the destination chain via CCIP. This marks the evolution of the collaboration from ā€œecosystem buildingā€ to ā€œtechnical building.ā€ Advancing Together: Empowering Agentic AI and the ā€œAutonomous Intelligent Economyā€ ā€œThe best way to predict the future is to invent it.ā€Alan Kay, computer science pioneer, Turing Award winner The story of Mind Network and Chainlink is one of commitment and evolution. Strategic Trust:Ā Chainlink as a key strategic partner.Ecological Commitment:Ā Joining Build and launching Rewards Season 1, deeply participating in Chainlink’s ecosystem.Technological Fusion:Ā Developing the FHE Bridge, merging FHE’s quantum-resistant encrypted computation with CCIP’s secure cross-chain messaging. This story proves the Mind Network philosophy: True builders find each other. The FHE Bridge is not just built for token transfers; it is building critical infrastructure for the next wave of Web3. The essence of AI is processing data, yet the essence of blockchain is public transparency. A fully transparent AI agent cannot protect trade secrets, hold an edge in financial markets, or protect user privacy. The rise of Agentic AI will transform confidential computing from a ā€œnice-to-haveā€ into a ā€œmust-have.ā€ This is where FHE becomes essential. FHE allows an AI agent to perform computation and reasoning on encrypted data, giving it the most critical capability: ā€œThe Ability to Think Confidentially.ā€ But an agent that only ā€œthinksā€ is not enough; it must ā€œact.ā€ In a multi-chain universe, an agent that cannot move cross-chain is crippled. Chainlink CCIP, as the industry standard interoperability protocol, provides its second critical capability: ā€œThe Ability to Act Securely.ā€ Therefore, the FHE Bridge is the prototype of a complete infrastructure stack: Mind Network (FHE) provides the ā€œConfidential Brain.ā€Chainlink (CCIP) provides the ā€œSecure Nervous System.ā€ Whether it’s the x402 protocol for AI agent micropayments or sensitive transactions involving RWAs (Real-World Assets) by institutions, FHE will play an indispensable role in protecting commercial secrets and transactional privacy. When AI agents or institutions need to execute complex, cross-chain tasks involving confidential data, they will require a channel that is both secure (powered by CCIP) and private (guaranteed by FHE). This is the future Mind Network and Chainlink are building together. This journey is just beginning.

From Build to FHE: How Mind Network and Chainlink are Building the Future of Privacy in Web3

A shared judgment on the future of Web3 is evolving into a technological fusion that defines next-generation infrastructure.
This article will frame the journey of Mind Network and Chainlink for the Mind Network community.
The starting point of this story is a profound insight: If ZKP (Zero-Knowledge Proofs) solved the problem of verifiability for Web3, thenĀ FHE (Fully Homomorphic Encryption) will solve the problem of confidential computing.
This journey demonstrates how a shared commitment evolves into a deep engineering implementation based on FHE.
Phase 1: Starting with Strategic Trust and Ecosystem Building (Build)
ā€œIf we want a civilization with privacy, we have to make it. We have to be computers, cryptographers, and… build the systems that give us the privacy we want.ā€ā€”Neal Stephenson, Cryptonomicon
This call to action fromĀ CryptonomiconĀ is the spiritual core of Mind Network. Privacy is not the default; it must be actively built.
When Mind Network announced its first $2.5 million seed round, Chainlink was already listed as a ā€œkey strategic partner.ā€ Mind Network shares a common goal with institutions like Binance Labs and Consensys: ā€œto enhance the security and data privacy of the entire Web3 ecosystem.ā€
This strategic alignment materialized in January 2023:Ā Mind Network officially joined the Chainlink Build program.

Joining Build was a public declaration of commitment. The goal was clear: to accelerate the adoption of the ā€œdecentralized privacy-preserving data lake.ā€ Through this program, Mind Network gained expert technical guidance and vast ecosystem resources from the Chainlink Labs team.
To achieve deep ecosystem alignment, Mind Network committed 3% of its total native token supply to Chainlink service providers (including stakers).
This commitment has recently begun to be actualized throughĀ Chainlink Rewards Season 1.
In this program, Mind Network’s native token (FHE) will be claimable by eligible LINK token stakers. This not only strengthens the economic security of the Chainlink network but also allows Mind Network’s token to be deeply integrated into Chainlink’s ecosystem.
Learn more here:Ā https://blog.chain.link/chainlink-rewards-season-1
Phase 2: From ā€œHTTPā€ to ā€œHTTPZā€
ā€œPrivacy is not secrecy… Privacy is the power to selectively reveal oneself to the world.ā€Bruce Schneier, renowned cryptographer and security thinker
Bruce Schneier provides the best technical definition of ā€œprivacyā€: it is about ā€œcontrol.ā€ FHE (Fully Homomorphic Encryption) is the ultimate technology for achieving this control.
This collaboration quickly pivoted to core technology integration to solve one of the industry’s most difficult challenges: cross-chain security and privacy.
Web2’s HTTPS protocol only encrypts data ā€œin transit.ā€
Web3 needs a protocol that encrypts data ā€œin transit, at rest, andĀ in use.ā€ This isĀ HTTPZ, a true Zero-Trust Network.
In May 2024, FHE engineering breakthroughs led to theĀ FHE Bridge, an institutional-level product developed by Mind Network using Chainlink CCIP.

This revolutionary solution is the first to simultaneously solve the dual challenges of cross-chain security and computational privacy:
The Quantum-Resistant Encryption Layer (FHE):Ā The FHE algorithms are based on lattice cryptography, making them inherently resistant to quantum computing attacks. It allows computation and validation directly on encrypted data, which is the key to achieving a true ā€œHTTPZ.ā€The Interoperability Standard (CCIP):Ā As the industry-standard cross-chain solution, Chainlink CCIP provides the FHE Bridge with an unparalleled foundation of security and messaging capabilities.
In simple terms:Ā When a user interacts with the FHE Bridge, MindSAP (FHE stealth address protocol) encrypts the user’s transactional intent and addresses. The FHE validation nodes can then compute the validity of the transactionĀ without ever decryptingĀ this information. Finally, the instructions and assets are securely transmitted to the destination chain via CCIP.
This marks the evolution of the collaboration from ā€œecosystem buildingā€ to ā€œtechnical building.ā€
Advancing Together: Empowering Agentic AI and the ā€œAutonomous Intelligent Economyā€
ā€œThe best way to predict the future is to invent it.ā€Alan Kay, computer science pioneer, Turing Award winner

The story of Mind Network and Chainlink is one of commitment and evolution.
Strategic Trust:Ā Chainlink as a key strategic partner.Ecological Commitment:Ā Joining Build and launching Rewards Season 1, deeply participating in Chainlink’s ecosystem.Technological Fusion:Ā Developing the FHE Bridge, merging FHE’s quantum-resistant encrypted computation with CCIP’s secure cross-chain messaging.
This story proves the Mind Network philosophy: True builders find each other.
The FHE Bridge is not just built for token transfers; it is building critical infrastructure for the next wave of Web3.
The essence of AI is processing data, yet the essence of blockchain is public transparency. A fully transparent AI agent cannot protect trade secrets, hold an edge in financial markets, or protect user privacy. The rise of Agentic AI will transform confidential computing from a ā€œnice-to-haveā€ into a ā€œmust-have.ā€
This is where FHE becomes essential. FHE allows an AI agent to perform computation and reasoning on encrypted data, giving it the most critical capability: ā€œThe Ability to Think Confidentially.ā€
But an agent that only ā€œthinksā€ is not enough; it must ā€œact.ā€ In a multi-chain universe, an agent that cannot move cross-chain is crippled. Chainlink CCIP, as the industry standard interoperability protocol, provides its second critical capability: ā€œThe Ability to Act Securely.ā€
Therefore, the FHE Bridge is the prototype of a complete infrastructure stack:
Mind Network (FHE) provides the ā€œConfidential Brain.ā€Chainlink (CCIP) provides the ā€œSecure Nervous System.ā€
Whether it’s the x402 protocol for AI agent micropayments or sensitive transactions involving RWAs (Real-World Assets) by institutions, FHE will play an indispensable role in protecting commercial secrets and transactional privacy.
When AI agents or institutions need to execute complex, cross-chain tasks involving confidential data, they will require a channel that is both secure (powered by CCIP) and private (guaranteed by FHE). This is the future Mind Network and Chainlink are building together.
This journey is just beginning.
From Build to FHE. From joining Build to developing the FHE Bridge on CCIP, our journey with @chainlink has evolved into a deep technical integration, unlocking the future of crypto privacy together. Key Milestones: šŸ”¹Build & Claim: Chainlink Rewards Season 1 is now live. šŸ”¹FHE Bridge: A Mind Network product that leverages CCIP to enables users to send encrypted, confidential messages. šŸ”¹Agentic AI: Building the infrastructure for the Autonomous Intelligent Economy. "True builders find each other."
From Build to FHE.

From joining Build to developing the FHE Bridge on CCIP, our journey with @chainlink has evolved into a deep technical integration, unlocking the future of crypto privacy together.

Key Milestones:

šŸ”¹Build & Claim: Chainlink Rewards Season 1 is now live.

šŸ”¹FHE Bridge: A Mind Network product that leverages CCIP to enables users to send encrypted, confidential messages.

šŸ”¹Agentic AI: Building the infrastructure for the Autonomous Intelligent Economy.

"True builders find each other."
Bringing next generation AI infrastructure to #Web2 The #AgenticWorld ecosystem continues to expand āœ…@deepseek_ai integrates #FHE for privacy-preserving model deployment āœ…@alibaba_cloud partners with Mind Network to deliver secure cloud-native AI infrastructure āœ…BytePlus integrates FHE confidential computing with models and functions for scalable, trusted AI and agents āœ…On @CozeHQ, launched an encrypted FHE Agent with DeepSeek and on-chain AgenticWorld for secure reasoning and orchestration Encrypted AI orchestration and secure reasoning with FHE, expanding from Web3 to Web2 platforms to serve billions of users
Bringing next generation AI infrastructure to #Web2

The #AgenticWorld ecosystem continues to expand

āœ…@deepseek_ai integrates #FHE for privacy-preserving model deployment

āœ…@alibaba_cloud partners with Mind Network to deliver secure cloud-native AI infrastructure

āœ…BytePlus integrates FHE confidential computing with models and functions for scalable, trusted AI and agents

āœ…On @CozeHQ, launched an encrypted FHE Agent with DeepSeek and on-chain AgenticWorld for secure reasoning and orchestration

Encrypted AI orchestration and secure reasoning with FHE, expanding from Web3 to Web2 platforms to serve billions of users
šŸŽ‰Encrypted Mind: Agent @BNBCHAIN Campaign Phase 2 rewards can be claimed till Aug 31, 09:00 UTC. šŸ”„New milestone: #AgenticWorld Agents on @BNBCHAIN have surpassed 600,000. Thanks to every member of the community! Claim now: https://agent.mindnetwork.xyz/campaign
šŸŽ‰Encrypted Mind: Agent @BNBCHAIN Campaign Phase 2 rewards can be claimed till Aug 31, 09:00 UTC.

šŸ”„New milestone: #AgenticWorld Agents on @BNBCHAIN have surpassed 600,000.

Thanks to every member of the community!

Claim now: https://agent.mindnetwork.xyz/campaign
āœ‰ļø Encrypted Messaging Onchain Real World Assets (#RWAs) such as real estate, stablecoin settlements, and cross-border finance require more than just value transfer. These use cases depend on transactions that carry purpose, identity, and audit trails with compliance and privacy. #SWIFT standardizes messages for compliance and settlement. Blockchains still lack a native encrypted way to express these attributes. Encrypted Messaging Onchain is a new protocol that allows wallets to send encrypted, structured, and verifiable messages directly alongside any onchain transaction. āœ…Auto-structured text for semantic clarity āœ…Wallet-based keygen for end-to-end encryption āœ…Encrypted messages linked to transactions with audit trails and access control Encrypted Messaging Onchain combines Fully Homomorphic Encryption (#FHE) with conventional cryptographic techniques to turn sensitive data into secure onchain payloads, accessible only to intended recipients. Learn more: https://enc.mindnetwork.xyz
āœ‰ļø
Encrypted Messaging Onchain

Real World Assets (#RWAs) such as real estate, stablecoin settlements, and cross-border finance require more than just value transfer.

These use cases depend on transactions that carry purpose, identity, and audit trails with compliance and privacy.

#SWIFT standardizes messages for compliance and settlement. Blockchains still lack a native encrypted way to express these attributes.

Encrypted Messaging Onchain is a new protocol that allows wallets to send encrypted, structured, and verifiable messages directly alongside any onchain transaction.

āœ…Auto-structured text for semantic clarity

āœ…Wallet-based keygen for end-to-end encryption

āœ…Encrypted messages linked to transactions with audit trails and access control

Encrypted Messaging Onchain combines Fully Homomorphic Encryption (#FHE) with conventional cryptographic techniques to turn sensitive data into secure onchain payloads, accessible only to intended recipients.

Learn more: https://enc.mindnetwork.xyz
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Mind Network's FHE-based MCP service launches on BytePlus, empowering secure and verifiable AI agents.Mind Network is deploying its FHE (Fully Homomorphic Encryption) driven secure intelligent agent ecosystem on BytePlus cloud infrastructure, achieving privacy protection and verifiable cross-platform execution for AI Agents. Today, AI and agents are becoming the next 'app store', transforming the way we live and work. Tools like ChatGPT, DeepSeek, and their plugins have become a part of our daily lives. There is no doubt that the era of AI Agents has arrived, and the growth rate is rapid. However, this rapid expansion also brings three fundamental challenges:

Mind Network's FHE-based MCP service launches on BytePlus, empowering secure and verifiable AI agents.

Mind Network is deploying its FHE (Fully Homomorphic Encryption) driven secure intelligent agent ecosystem on BytePlus cloud infrastructure, achieving privacy protection and verifiable cross-platform execution for AI Agents.
Today, AI and agents are becoming the next 'app store', transforming the way we live and work. Tools like ChatGPT, DeepSeek, and their plugins have become a part of our daily lives.
There is no doubt that the era of AI Agents has arrived, and the growth rate is rapid.
However, this rapid expansion also brings three fundamental challenges:
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Mind Network and BytePlus Sign Memorandum of Understanding to Promote Trusted and Secure Artificial IntelligenceMind Network is an innovative pioneer in the fields of Fully Homomorphic Encryption (FHE) and Decentralized Confidential Computing (DeCC). It has signed a memorandum of understanding (MOU) with BytePlus to jointly promote the construction of secure AI infrastructure and lay the foundation for privacy-protecting intelligent services. This collaboration combines Mind Network's expertise in encrypted data protection with BytePlus's capabilities in AI model deployment and function computing cloud services. Through technological integration, both parties will accelerate the construction and promotion of a scalable and secure agent ecosystem.

Mind Network and BytePlus Sign Memorandum of Understanding to Promote Trusted and Secure Artificial Intelligence

Mind Network is an innovative pioneer in the fields of Fully Homomorphic Encryption (FHE) and Decentralized Confidential Computing (DeCC). It has signed a memorandum of understanding (MOU) with BytePlus to jointly promote the construction of secure AI infrastructure and lay the foundation for privacy-protecting intelligent services.
This collaboration combines Mind Network's expertise in encrypted data protection with BytePlus's capabilities in AI model deployment and function computing cloud services. Through technological integration, both parties will accelerate the construction and promotion of a scalable and secure agent ecosystem.
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Mind Network and Allora Network have reached a strategic partnership to jointly launch the first privacy-preserving price oracle aimed at DeFAI scenarios - FHE TrustPrice Index. This index combines the decentralized machine learning model network of Allora with the fully homomorphic encryption (FHE) capabilities of Mind Network, creating a new price oracle infrastructure that features high-precision prediction, end-to-end encryption, tamper resistance, and verifiability. Under the Allora MCP mechanism, multiple agents submit price prediction data in an encrypted state, which is aggregated by the FHE infrastructure provided by Mind Network, only disclosing the final trusted price signal. The entire process requires no decryption of any intermediate information, achieving data input confidentiality, verifiable processes, and tamper-proof results. Additionally, Mind Network has open-sourced the Mind Voter prototype codebase, showcasing the core operational mechanism of the system through the encrypted acquisition, submission, and aggregation process of BTC prices, and providing reference solutions for developers to build FHE-compatible proxies. {alpha}(560xd55c9fb62e176a8eb6968f32958fefdd0962727e)
Mind Network and Allora Network have reached a strategic partnership to jointly launch the first privacy-preserving price oracle aimed at DeFAI scenarios - FHE TrustPrice Index.

This index combines the decentralized machine learning model network of Allora with the fully homomorphic encryption (FHE) capabilities of Mind Network, creating a new price oracle infrastructure that features high-precision prediction, end-to-end encryption, tamper resistance, and verifiability.

Under the Allora MCP mechanism, multiple agents submit price prediction data in an encrypted state, which is aggregated by the FHE infrastructure provided by Mind Network, only disclosing the final trusted price signal. The entire process requires no decryption of any intermediate information, achieving data input confidentiality, verifiable processes, and tamper-proof results.

Additionally, Mind Network has open-sourced the Mind Voter prototype codebase, showcasing the core operational mechanism of the system through the encrypted acquisition, submission, and aggregation process of BTC prices, and providing reference solutions for developers to build FHE-compatible proxies.
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Mind Network announces strategic cooperation with Alibaba Cloud to introduce AI security consensus based on FHE (Fully Homomorphic Encryption) to the cloud platform On May 23, Mind Network officially announced a strategic cooperation with Alibaba Cloud. As the first project to integrate FHE capabilities into the DeepSeek open-source library, Mind Network will provide FHE security and consensus support for the DeepSeek service on Alibaba Cloud platform. Both parties will jointly promote the implementation and application of Fully Homomorphic Encryption (FHE) technology in cloud AI inference scenarios, helping to build a secure and controllable AI infrastructure. This cooperation will achieve FHE encrypted inference support for DeepSeek model services based on Alibaba Cloud's globally leading high-performance GPU clusters and secure computing environment, and promote the construction of hybrid Agent architecture, encrypted API services, and scalable AI workflows. By introducing Mind Network's FHE consensus security and privacy protection, Alibaba Cloud has strengthened its technological leadership in the field of AI secure computing, and has also provided a new paradigm for confidential computing, accelerating the integration of the Web3 and AI worlds. Mind Network is working hand in hand with Alibaba Cloud to bring the AgenticWorld ecosystem from the open-source community into cloud infrastructure, providing global developers and enterprises with AI service solutions that balance performance and privacy protection. {alpha}(560xd55c9fb62e176a8eb6968f32958fefdd0962727e)
Mind Network announces strategic cooperation with Alibaba Cloud to introduce AI security consensus based on FHE (Fully Homomorphic Encryption) to the cloud platform

On May 23, Mind Network officially announced a strategic cooperation with Alibaba Cloud. As the first project to integrate FHE capabilities into the DeepSeek open-source library, Mind Network will provide FHE security and consensus support for the DeepSeek service on Alibaba Cloud platform. Both parties will jointly promote the implementation and application of Fully Homomorphic Encryption (FHE) technology in cloud AI inference scenarios, helping to build a secure and controllable AI infrastructure.

This cooperation will achieve FHE encrypted inference support for DeepSeek model services based on Alibaba Cloud's globally leading high-performance GPU clusters and secure computing environment, and promote the construction of hybrid Agent architecture, encrypted API services, and scalable AI workflows.

By introducing Mind Network's FHE consensus security and privacy protection, Alibaba Cloud has strengthened its technological leadership in the field of AI secure computing, and has also provided a new paradigm for confidential computing, accelerating the integration of the Web3 and AI worlds. Mind Network is working hand in hand with Alibaba Cloud to bring the AgenticWorld ecosystem from the open-source community into cloud infrastructure, providing global developers and enterprises with AI service solutions that balance performance and privacy protection.
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Mind Network Launches FHE-Based USDC Cross-Chain Encrypted Transfer LayerOn May 23, Mind Network announced the launch of encrypted transfer capabilities supporting Circle's Cross-Chain Transfer Protocol (CCTP), enabling developers and institutions to conduct compliant privacy USDC transfers across multiple supported blockchains. This functionality is realized through the integration of Mind Network with Chainlink's Cross-Chain Interoperability Protocol (CCIP), which provides the messaging infrastructure for CCTP. This is the first application of fully homomorphic encryption (FHE) in production environments for CCTP transfers. With this update, projects integrating CCTP can hide sensitive transaction metadata such as wallet addresses and transfer amounts without changing Circle's underlying infrastructure or existing integrations.

Mind Network Launches FHE-Based USDC Cross-Chain Encrypted Transfer Layer

On May 23, Mind Network announced the launch of encrypted transfer capabilities supporting Circle's Cross-Chain Transfer Protocol (CCTP), enabling developers and institutions to conduct compliant privacy USDC transfers across multiple supported blockchains. This functionality is realized through the integration of Mind Network with Chainlink's Cross-Chain Interoperability Protocol (CCIP), which provides the messaging infrastructure for CCTP.
This is the first application of fully homomorphic encryption (FHE) in production environments for CCTP transfers. With this update, projects integrating CCTP can hide sensitive transaction metadata such as wallet addresses and transfer amounts without changing Circle's underlying infrastructure or existing integrations.
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#MindNetwork Fully Homomorphic Encryption FHE Reshaping the Future of AI ✨✨✨
#MindNetwork Fully Homomorphic Encryption FHE Reshaping the Future of AI ✨✨✨
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The 25th Square Call for Papers #MindNetwork Fully Homomorphic Encryption FHE Reshaping the Future of AI
Mind Network has pioneered a fully homomorphic encryption ($FHE) infrastructure resistant to quantum attacks, driving a fully encrypted internet through secure data and AI computations.
At the same time, Mind Network is building HTTPZ (a zero-trust internet protocol) in collaboration with industry leaders to establish new standards for trusted AI and encrypted on-chain data processing in the Web3 and AI ecosystem.
Mind Network is supported by well-known investors including Binance Labs (Yzi Labs), Cogitent, Hashkey, Animoca Brands, and Chainlink, and has received two Ethereum Foundation grants for FHE research.
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Mind Network: Using FHE Technology to Solve AI Agent Security ChallengesBy: Wublock The strength of AI Agents comes from autonomy, which must be built on security. Mind Network, centered on FHE, provides a new path for agents to collaborate without exposing data, solving the trust dilemma. The latest IDO project Mind Network on Binance Wallet has received investment from Binance Labs. AI Agents have become one of the most important hotspots over the past year, giving rise to star projects such as Virutual and ai16z. NVidia CEO Jensen Huang has also publicly supported AI Agents, stating that 'AI Agents may be the next robotics industry, with potential reaching trillions of dollars.' Recently, OpenAI released a brand-new toolkit designed to simplify AI Agent application development, providing substantial development support for complex AI Agents. In 2025, the potential for AI Agents may continue to explode, with various intelligent agents capable of autonomous decision-making and collaborative work accelerating towards practicality.

Mind Network: Using FHE Technology to Solve AI Agent Security Challenges

By: Wublock

The strength of AI Agents comes from autonomy, which must be built on security. Mind Network, centered on FHE, provides a new path for agents to collaborate without exposing data, solving the trust dilemma.

The latest IDO project Mind Network on Binance Wallet has received investment from Binance Labs.
AI Agents have become one of the most important hotspots over the past year, giving rise to star projects such as Virutual and ai16z. NVidia CEO Jensen Huang has also publicly supported AI Agents, stating that 'AI Agents may be the next robotics industry, with potential reaching trillions of dollars.' Recently, OpenAI released a brand-new toolkit designed to simplify AI Agent application development, providing substantial development support for complex AI Agents. In 2025, the potential for AI Agents may continue to explode, with various intelligent agents capable of autonomous decision-making and collaborative work accelerating towards practicality.
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Introducing $FHE: Driving the Future of Intelligent Agent AIWe are on the brink of a transformation comparable to the rise of human life on Earth. — Vernor Vinge With the official launch of $FHE Claim and staking, the Mind Network ecosystem begins its next phase: Empowering a new era of intelligence. Built on privacy, autonomy, and fully homomorphic encryption, Mind Network is redefining how AI lives, learns, and scales on-chain. In just over a year, Mind Network has evolved from a technical vision into a powerful protocol stack. Driven by FHE, supported by leading institutions, and backed by over two million CitizenZ users globally.

Introducing $FHE: Driving the Future of Intelligent Agent AI

We are on the brink of a transformation comparable to the rise of human life on Earth. — Vernor Vinge

With the official launch of $FHE Claim and staking, the Mind Network ecosystem begins its next phase: Empowering a new era of intelligence.
Built on privacy, autonomy, and fully homomorphic encryption, Mind Network is redefining how AI lives, learns, and scales on-chain.
In just over a year, Mind Network has evolved from a technical vision into a powerful protocol stack. Driven by FHE, supported by leading institutions, and backed by over two million CitizenZ users globally.
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The Age of Agents: How Mind Network Drives the AgenticWorld Intelligent World?The dawn of agent AI: Dreams begin to take shape Initially, artificial intelligence was merely a distant fantasy for most. It was born from the imaginations of pioneers like Alan Turing and John McCarthy, an ideal rather than a reality. As early as the 1950s, Turing posed that famous question: 'Can machines think like us?' McCarthy first coined the term 'artificial intelligence' in 1956, envisioning systems that could simulate human reasoning. Over the following decades, we invented various tools, from calculators to software to industrial robots. The essence of these tools is that they passively respond to human instructions.

The Age of Agents: How Mind Network Drives the AgenticWorld Intelligent World?

The dawn of agent AI: Dreams begin to take shape

Initially, artificial intelligence was merely a distant fantasy for most. It was born from the imaginations of pioneers like Alan Turing and John McCarthy, an ideal rather than a reality.
As early as the 1950s, Turing posed that famous question: 'Can machines think like us?'
McCarthy first coined the term 'artificial intelligence' in 1956, envisioning systems that could simulate human reasoning.
Over the following decades, we invented various tools, from calculators to software to industrial robots. The essence of these tools is that they passively respond to human instructions.
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How does Mind Network build the foundation of Agentic World based on FHE?By: Deep Tide TechFlow As the world's first FHE blockchain specifically designed for AI agents, MindChain is the underlying infrastructure of AgenticWorld. On April 10, 2025, at 19:00, the privacy infrastructure project Mind Network, based on Fully Homomorphic Encryption (FHE) technology, officially launched TGE on the PancakeSwap platform, with a fundraising exceeding 174 times, which not only fully demonstrates the enthusiastic community participation but also attracts more attention to the project. As a project selected by the Binance Incubator, with support from the Ethereum Foundation Fellowship Grant, and the Chainlink Build Program, Mind Network raised $10 million in Pre-A funding in September 2024, attracting participation from well-known institutions like Animoca Brands, Arkstream Capital, and Cogitent Ventures. Recently, discussions around Mind Network have increased significantly due to the launch of AgenticWorld and its integration into the DeepSeek open-source codebase.

How does Mind Network build the foundation of Agentic World based on FHE?

By: Deep Tide TechFlow
As the world's first FHE blockchain specifically designed for AI agents, MindChain is the underlying infrastructure of AgenticWorld.
On April 10, 2025, at 19:00, the privacy infrastructure project Mind Network, based on Fully Homomorphic Encryption (FHE) technology, officially launched TGE on the PancakeSwap platform, with a fundraising exceeding 174 times, which not only fully demonstrates the enthusiastic community participation but also attracts more attention to the project.
As a project selected by the Binance Incubator, with support from the Ethereum Foundation Fellowship Grant, and the Chainlink Build Program, Mind Network raised $10 million in Pre-A funding in September 2024, attracting participation from well-known institutions like Animoca Brands, Arkstream Capital, and Cogitent Ventures. Recently, discussions around Mind Network have increased significantly due to the launch of AgenticWorld and its integration into the DeepSeek open-source codebase.
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Building an AgenticWorld with Mind NetworkThis project documentation is available in multiple languages. Please feel free to improve or add other language versions through Pull Request. šŸ‡¬šŸ‡§Ā EnglishĀ | šŸ‡°šŸ‡·Ā KoreanĀ | šŸ‡ØšŸ‡³Ā äø­ę–‡ (Chinese) We will walk you through the evolution of AgenticWorld and explore how the architecture of Mind Network has developed from the initial concept to its current form - with security, autonomy and trust as the foundation for the future of Agentic AI. Motivation for Building AgenticWorld We have experienced the baptism of several technological waves in the past, and today, we firmly believe that the era of Agentic AI has arrived. Unless MAGA (Microsoft, Apple, Google, Amazon) has bet on the wrong AI, it is certain that in the near future, each of us will have and entrust one or more Agentic AI to perform tasks for us. These intelligent agents will collaborate under our authorization - automatically working, negotiating and making decisions.

Building an AgenticWorld with Mind Network

This project documentation is available in multiple languages. Please feel free to improve or add other language versions through Pull Request.
šŸ‡¬šŸ‡§Ā EnglishĀ | šŸ‡°šŸ‡·Ā KoreanĀ | šŸ‡ØšŸ‡³Ā äø­ę–‡ (Chinese)
We will walk you through the evolution of AgenticWorld and explore how the architecture of Mind Network has developed from the initial concept to its current form - with security, autonomy and trust as the foundation for the future of Agentic AI.
Motivation for Building AgenticWorld
We have experienced the baptism of several technological waves in the past, and today, we firmly believe that the era of Agentic AI has arrived. Unless MAGA (Microsoft, Apple, Google, Amazon) has bet on the wrong AI, it is certain that in the near future, each of us will have and entrust one or more Agentic AI to perform tasks for us. These intelligent agents will collaborate under our authorization - automatically working, negotiating and making decisions.
HashKey Capital Insights shared a comprehensive article explaining both the challenges and paradigm-shifting potential of Fully Homomorphic Encryption (#FHE). We were happy to contribute to this article alongside other prominent Web3 FHE projects. We're going to break it down for you and give you the takeaways. 1⃣ The big takeaway: FHE is the Holy Grail of Cryptography for a reason. It is changing the way we secure data across platforms, painting an almost unbelievable new era for data privacy. 2⃣ The primary limitations of FHE DevEx: 1) Easy front-end language 2) A fully functional FHE compiler 3) FHE schemes are too slow 3⃣ New solutions to these limitations: 1) Web3-specific FHE compilers offer the best performance without hardware accelerators 2) New FHE libraries that leverage the popular Web3 programming languages 3) Zama's toolkit exposes homomorphic operations as precompiled contracts 4⃣ ZKPs & FHE - a match made in privacy heaven. FHE allows anyone to perform computation on encrypted data. ZKPs allow one to prove something is true without revealing the underlying information itself. This is how they work together: 1) Making sure the ciphertext meets the requirements of the encryption scheme 2) Submitting a proof that an input plaintext satisfies a given application's conditions 3) The validator node needs to prove they've correctly executed the FHE computation 5⃣ ZKPs of ciphertext. ZKPs like SNARKS and STARKS do not rely on lattice cryptography; FHE does. This means that FHE is 'post-quantum'. In other words, ZKPs alone are not resistant to quantum computing attacks, but FHE is. 6⃣ The hardware problem. FHE on existing hardware is inefficient and not scalable in a decentralized way. Verifiable FHE solves this by allowing the computing party to submit a ZKP for proof of honest execution of transactions.
HashKey Capital Insights shared a comprehensive article explaining both the challenges and paradigm-shifting potential of Fully Homomorphic Encryption (#FHE). We were happy to contribute to this article alongside other prominent Web3 FHE projects.

We're going to break it down for you and give you the takeaways.

1⃣
The big takeaway: FHE is the Holy Grail of Cryptography for a reason. It is changing the way we secure data across platforms, painting an almost unbelievable new era for data privacy.

2⃣
The primary limitations of FHE DevEx:
1) Easy front-end language
2) A fully functional FHE compiler
3) FHE schemes are too slow

3⃣
New solutions to these limitations:
1) Web3-specific FHE compilers offer the best performance without hardware accelerators
2) New FHE libraries that leverage the popular Web3 programming languages
3) Zama's toolkit exposes homomorphic operations as precompiled contracts

4⃣
ZKPs & FHE - a match made in privacy heaven. FHE allows anyone to perform computation on encrypted data. ZKPs allow one to prove something is true without revealing the underlying information itself. This is how they work together:
1) Making sure the ciphertext meets the requirements of the encryption scheme
2) Submitting a proof that an input plaintext satisfies a given application's conditions
3) The validator node needs to prove they've correctly executed the FHE computation

5⃣
ZKPs of ciphertext. ZKPs like SNARKS and STARKS do not rely on lattice cryptography; FHE does. This means that FHE is 'post-quantum'. In other words, ZKPs alone are not resistant to quantum computing attacks, but FHE is.

6⃣
The hardware problem. FHE on existing hardware is inefficient and not scalable in a decentralized way. Verifiable FHE solves this by allowing the computing party to submit a ZKP for proof of honest execution of transactions.
Encryption 101: Fully Homomorphic Encryption (#FHE) Discover Fully Homomorphic Encryption (FHE) schemes and their distinct features, along with the best use cases! Dig deeper into the details in the attached pic!
Encryption 101: Fully Homomorphic Encryption (#FHE)

Discover Fully Homomorphic Encryption (FHE) schemes and their distinct features, along with the best use cases!

Dig deeper into the details in the attached pic!
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