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.
In recent months, we have been on this thrilling roller coaster of AI Agents:
According to Cookie.Fun data, compared to a peak of over $20 billion in 2024, the total market capitalization of the AI Agent sector has significantly dropped to around $6 billion currently.
But few people miss the AI Agent Summer of 2024, transitioning from 'narrative-first' to 'narrative + technology dual-driven'. AI Agents are moving through the early hype phase, and practitioners are gearing up to find long-term value that can truly build for users, leading the AI Agent roller coaster back towards the clouds.
In this search process, regardless of whether it's Web2 or Web3, the Western world or the Eastern world, their gaze seems to gradually converge at a common point: from AI Agents to building a more autonomous, collaborative, and adaptive Agentic AI ecosystem that allows AI to truly solve problems in more real-world scenarios.
As Microsoft CEO Satya Nadella described at the 2024 Ignite conference about the future of intelligent agents: building a richly diverse world of intelligent agents (Agentic World).
However, under the繁荣 of Agentic AIs, whether due to the privacy breaches, model theft, algorithmic bias, etc., brought about by Web2 centralization, or the decentralized governance risks and cross-chain collaboration challenges faced by AI development under the Web3 blockchain framework, the underlying security issues remain an overlooked yet difficult-to-eradicate hidden danger.
And this is precisely the important reason why Mind Network has garnered significant attention with FHE as the main narrative.
As Ethereum founder Vitalik Buterin mentioned in his latest article (Why I support privacy):
"The development of AI has brought about deeper privacy concerns... The computational structure of LLMs (Large Language Models) is primarily linear operations, which highly aligns with the mathematical characteristics of FHE, potentially giving rise to highly efficient FHE implementation solutions... The combination of AI and FHE will be the core of solving privacy issues in the future, especially in cases that require analyzing private data."
As the world's first FHE blockchain project specifically designed for AI agents, Mind Network is building a secure foundation for the development of Agentic World by leveraging FHE's significant advantages in AI security. Meanwhile, with the launch of AgenticWorld, a trusted ecological product for intelligent agents, the anticipated future of secure and efficient multi-agent collaboration that both Web2 and Web3 hope for is gradually taking shape.
An initial exploration of AgenticWorld: An intelligent ecosystem driven by multi-Agentic AI collaboration.
Have you ever envisioned such a future:
In life, no matter what problem you encounter, you just need to issue commands based on your needs, and Agentic AIs will autonomously complete every step of collaboration, analysis, decision-making, and execution, whether it's preference settings, health management, or financial investment.
Facing more challenging tasks in complex scenarios, our vision for a better future not only imposes higher requirements on the privacy and security of Agentic AIs but also requires the efficient collaboration of various Agentic AIs.
This is what AgenticWorld aims to achieve.
As a personalized simulation environment specifically designed for Agentic AIs launched by Mind Network, AgenticWorld must have multiple intelligent agents with autonomous decision-making capabilities. Therefore, first of all, AgenticWorld needs to support the creation of Agentic AIs.
$FHE token TGE has just ended, and the function of staking $FHE to activate and train Agentic AIs in AgenticWorld has been launched: currently, users only need to stake 10 $FHE to activate an Agentic AI, and this standard will become 100 $FHE after the future activities end.
Activate and then what? Put a token into the pool for your Agentic AI for a big P?
In fact, there is much more meaningful work to be done:
AgenticWorld aims to enable Agentic AIs to grow rapidly, even bringing users continuous rewards during the training and growth process of truly solving specific problems. Therefore, AgenticWorld offers two types of Hubs for Agentic AI training, and any training will receive rewards:
Basic Hubs help Agentic AIs gain the capabilities needed to operate within the AgenticWorld framework. Currently developed basic training Hubs include FCN (FHE Consensus), FDN (FHE Decryption), and RandGen (Random Number Generation). Completing training can earn rewards, and the expected APY may reach 400%.
Advanced Hubs help Agentic AIs continuously improve their problem-solving capabilities as they complete more complex tasks. In the future, AgenticWorld will launch more advanced Hubs covering applications such as multi-agent consensus, medical AI, decentralized reasoning, etc. On April 17, 2025, Mind Network announced the preview of its first advanced Hub 'DeepSeek Hub', which, as the first FHE project integrated by DeepSeek, will provide a working platform for AI Agents, where users can delegate tasks to Agents and earn $FHE rewards.
Meanwhile, to further build a continuously optimizing and sustainably developing ecosystem, AgenticWorld has also established a structured and transparent staking system: currently, during a limited-time promotional period, activating an Agent requires staking 10 FHE. After staking $FHE to activate Agentic AI, there will be a 30-day initial lock-up period (maturity period), during which all staked principal and rewards will be locked. After 30 days, users can submit requests to withdraw rewards at any time, but there will be a 48-hour unbinding period during which no earnings will be generated.
Of course, users can also choose to destroy their Agent, at which point all staked $FHE tokens and earnings will be released.
When we return to the future mentioned above of 'multi-agent collaboration serving more real-world scenario needs', how can we help Agentic AIs continuously improve their service capabilities in practical collaboration? AgenticWorld has designed a Hub Contract mechanism based on the Orchestration layer.
In simple terms, this is a mechanism similar to the MCP (Model Context Protocol). We can understand it as an open, universal, consensual protocol standard. With this standard, AI models have a 'universal interface' that allows them to seamlessly interact with different data sources and tools, helping Agentic AIs to efficiently collaborate to solve real problems, achieve higher-level growth, and gain richer rewards.
Specifically, there are three levels in the design of AgenticWorld.
At the top level is Agentic AI:
As task executors, Agentic AIs are responsible for performing computations on encrypted data and returning the results to the Hub to receive rewards. Each Agentic AI needs to register with the Hub, and during the task execution process, Agentic AIs may need to pay the Hub to call functions that enhance their task-solving capabilities. Agentic AIs can operate independently or collaborate with other Agentic AIs to complete complex tasks.
Hub Contract connects Agentic AIs with the Orchestration layer:
The Hub is a smart contract that defines tasks in specific domains (e.g., prediction, verification, negotiation, etc.) and has the authority to decide the specific principles for task reward distribution. Each Hub needs to register with the Orchestration layer to join the network and receive task assignments. After obtaining a task, Agentic AIs register tasks through the Hub, perform calculations, and collaborate with other Agentic AIs. During this process, the Hub may need to pay other Hubs to call functions that enhance task-solving capabilities.
The Orchestration layer provides the underlying support for the effective operation of the entire mechanism:
On one hand, the Orchestration layer is responsible for distributing tasks to suitable Hubs and Agentic AIs; on the other hand, the Orchestration layer provides an efficient collaboration foundation, supporting agent collaboration across different blockchains, ensuring seamless data and computation flow, and simplifying the integration of agents and Hubs through a unified protocol (such as the MCP model context protocol). Most importantly, the Orchestration layer will monitor the activities of all Agentic AIs across all Hubs, allowing it to fairly calculate the contributions of all contributors from a global perspective and distribute $FHE token rewards.
Throughout the process, in addition to the specific benefits of specific tasks, $FHE, as the native token of Mind Network, plays the role of the incentive hub for the AgenticWorld ecosystem.
For developers: they can create Agentic AIs to earn rewards from tasks; they can also create and manage Hubs to earn rewards.
For ordinary users: AgenticWorld supports one-click creation of Agentic AIs, allowing them to earn rewards from the tasks performed by Agentic AIs while enjoying the intelligent services provided by the continuous evolution of Agentic AIs.
Every participant in the AgenticWorld ecosystem will earn rewards based on their contributions, and the flow of rewards is transparent and traceable. Whether between Hubs or between Agentic AIs, a state of high flexibility, fair competition, and continuous growth can be maintained, with the ecological flywheel driving AgenticWorld towards a more collaborative and intelligent direction.
We can take the user's desire to obtain a monthly on-chain investment suggestion as an example to clearly understand the operational process of AgenticWorld in a specific scenario.
First, the Orchestration layer will seek adapters among all registered Hubs and Agentic AIs based on user needs and assign tasks. Completing this task will involve multiple Agentic AIs collaborating across multiple Hubs, such as for prediction, lending, stablecoin yield, RWA, etc.
After receiving a task, different Agentic AIs will use specific AI models to analyze and generate investment suggestions, returning them to the Hub. In this process, each Agentic AI may interact with multiple other Agentic AIs to gain more analytical support, thereby generating results that better meet task requirements.
The Hub plays a role in facilitating data encryption and transmission, and model collaboration layers: through FHE (Fully Homomorphic Encryption) technology, it ensures that data remains encrypted during transmission and sharing; by coordinating interactions between different Agentic AIs, it achieves data fusion across models.
Finally, the Orchestration layer integrates the output results of different Agentic AIs to generate a comprehensive investment portfolio optimization plan returned to users, while monitoring the execution effect of the entire process and then issuing rewards to the Hub.
After receiving rewards, the Hub keeps a portion for itself and distributes a portion to the Agentic AIs that participated in the task. The specific distribution rules are determined by the Hub itself, and a fairer distribution can attract more Agentic AIs to register, thereby continuously enhancing the ability to solve tasks and earn rewards.
This design looks very promising. With the decentralized power of blockchain breaking the monopoly on AI development and laying the groundwork for a surge in AI Agent development, we are a step closer to this multi-agent collaboration era. However, to truly resolve issues in specific real-life scenarios, many key points have been overlooked:
If you want to expand the service range of Agentic AI, more data is needed, including some sensitive data. For example, if we need to provide a health report to Agentic AI for health analysis, how do we solve the privacy issue?
If you want to enhance the service capabilities of Agentic AIs, collaboration among multiple Agentic AIs with different specialties is an inevitable trend. For instance, if we need to obtain investment suggestions from multi-chain Agentic AIs across Ethereum, Solana, Base, BNB, etc., how do we overcome the complexities and security challenges of data sharing between different entities?
More importantly, when Agentic AIs provide us with a 'result', how can we trust that this result is genuinely correct and in the user's best interest?
This is a problem that current blockchains cannot solve. As Mind Network states: what we need is not a 'better blockchain', but a new paradigm born for AI.
By attributing issues, Mind Network proposes four major standards for the future development of the AgenticWorld ecosystem:
Data Security: Ensure that Agentic AIs do not expose the original content when processing sensitive data.
Communication Security: Ensure that Agentic AIs can communicate, collaborate, and compete with zero trust encryption.
Computation Security: Ensure that the inference process of Agentic AI models is fully encrypted while retaining verifiable audit trails.
Consensus Security: Ensure that there is a mechanism to guarantee safe collaboration between Agentic AIs, verify each other's behavior, and prevent tampering.
All issues seem to revolve around the keyword 'security'.
The importance of AI security is self-evident. It is a key premise for whether this technology can develop positively and healthily while better promoting the advancement of human civilization. The solutions built around AI security issues are not only recognized as the key to the development of the Agentic World ecosystem but also serve as the next key infrastructure for AI ecosystem development, similar to how oracles function in blockchain.
OpenAI CEO Sam Altman has also issued a warning: AI security is much more important than most people realize.
Finding answers based on questions, Mind Network found FHE.
FHE: The Holy Grail of encryption security, the foundation for AgenticWorld's implementation.
What is FHE (Fully Homomorphic Encryption technology)?
In simple terms, this is an advanced encryption technology that is difficult to explain clearly in a few sentences. However, unlike other encryption solutions, FHE has a very important feature:
Allowing function computations directly on ciphertext without decryption and obtaining the encrypted result of that function's output achieves security and privacy throughout the process.
This is an important characteristic of FHE that attracts Mind Network to continue its deep cultivation, and it is also the core technical foundation for Mind Network to build a secure base for AgenticWorld. Through a layered architecture design based on FHE technology, Mind Network has achieved end-to-end encrypted protocols, promoting the construction of HTTPZ (Zero Trust Internet Transport Protocol), a new paradigm of internet security.
Security Layer: Composed of multiple independent FHE verifiers;
Consensus Layer: A Rollup chain co-developed by Mind Network with AltLayer and EigenDA to ensure consensus in the FHE verification process.
Mind Network's Hub: Built on FHE, the Hub will serve as the training and working center of AgenticWorld. Agentic AIs can enhance their capabilities and collaborate securely here. Depending on their capabilities and requirements, they can be divided into basic and advanced Hubs.
On this infrastructure built on FHE technology, Mind Network, which studies FHE, has achieved multiple research results, including FHE verification aimed at ensuring integrity and security without exposing sensitive data, FHE consensus aimed at enabling decentralized network decision-making that is trust-free and verifiable, FHE Bridge aimed at achieving truly secure cross-chain interactions, and the world's first FHE blockchain, MindChain. These tightly revolve around the core narrative of Agentic AI, providing corresponding solutions to the dilemmas faced by the development of the AgenticWorld ecosystem, whether in data, communication, computation, or consensus security.
Of course, the threshold to understand FHE, this hardcore technology, is still relatively high. Therefore, we can also take 'obtaining an investment suggestion' as an example to understand how FHE empowers the development of Agentic AIs in different collaborative scenarios.
In ensuring high-sensitivity data privacy:
You are a crypto player with assets across multiple chains and tracks. You need to provide your asset allocation to Agentic AIs to obtain a personalized investment suggestion. During this process, multiple Agentic AIs will analyze your data, but you do not want to expose your data on-chain. What should you do?
Users can use FHE public keys to encrypt asset data and send the encrypted data to Agentic AIs.
Due to FHE's characteristic of allowing computation on ciphertext without decryption, Agentic AIs can perform calculations on encrypted asset data. If it involves collaborative processes, the first Agentic AI will forward the encrypted data to the second Agentic AI for computation, running more FHE-based logic on the encrypted data, and so forth for the third, fourth, etc.
After multiple Agentic AIs complete collaborative calculations and generate investment suggestion results, these results will be returned to the user's Agentic AI in an encrypted manner. The user can then use their own key to decrypt and read the results.
Regarding the verification of output result accuracy:
Many times, Agentic AIs need to rely on information sources from other external AI products to make decisions, such as making investment judgments. For instance, Agentic AIs need to link with Deepseek for macroeconomic analysis. However, the additional externalities bring stronger uncertainty. How can we verify the accuracy and safety of output content without accessing internal weights, logic, or viewing the private data of validators?
In AgenticWorld, users can submit verification tasks to the network through registered Hubs. The Orchestration layer will forward the tasks to multiple Hubs and Agentic AIs capable of handling verification requests. Each Agentic AI will independently produce verification results using its model upon receiving a task and submit the results to the Hub via FHE encryption.
The Hub aggregates these encrypted verification feedback and obtains the final verification results through the security verification mechanism built by Mind Network based on FHE.
Finally, the verification results will be returned to the user's Agentic AI in an encrypted manner, allowing the user to decrypt and read the results using their own key. If the results are credible, the user can confidently adopt that feedback.
Achieving verifiable 'result consensus' during collaborative efforts among multiple Agentic AIs follows the same principle:
This scenario is quite common. For example, an Agentic AI may suggest that a user participate in lending to earn profits but needs to find the optimal interest rate. How can we ensure that each collaborating Agentic AI has genuinely assessed the problem and reached a consensus on the final feedback solution?
In AgenticWorld, users' Agentic AIs can submit tasks to the network through registered Hubs. The Orchestration layer will forward tasks to multiple Hubs and Agentic AIs that can handle requests. Each Agentic AI calculates independently using its own model to generate a result, which is then submitted to the Hub via FHE encryption.
The Hub compares results based on the security consensus mechanism built by Mind Network based on FHE, reaching consensus on the most optimal results, ensuring decision-making is trust-free, verifiable, and tamper-proof.
Finally, the final result will be returned to the user's Agentic AI in an encrypted form, allowing the user to decrypt and read the result using their own key.
In multi-Agentic AI collaboration across chains, Mind Network, built on FHE technology, will bring groundbreaking innovations to AgenticWorld.
It is well known that broader collaboration will lead to higher-level intelligence. For example, when making investment suggestions, your assets may be distributed across different chains such as Ethereum, Solana, BNB Chain, and Base. Under interoperability challenges, how can we ensure the efficiency and security of cross-chain collaboration?
In AgenticWorld, different chain Agentic AIs can register the same Hub to contribute. For example, Agentic AIs from BNB Chain and MindChain can both register Hub 1.
Upon receiving a task, each Agentic AI will independently compute, output results, and encrypt feedback to the Hub. The Hub serves as a hub for cross-chain interaction, responsible for coordinating data flow between different chains.
This way, when the result is returned to the Agentic AIs, complete cross-chain collaboration is achieved: each Agentic AI executes operations locally, but each Agentic AI receives results after cross-chain collaboration.
As the world's first FHE blockchain specifically designed for AI agents, MindChain is the underlying infrastructure of AgenticWorld.
More importantly, whether it is the large-scale creation of Agentic AIs or high-frequency collaborative interactions between different Agentic AIs to complete richer and more complex tasks, AgenticWorld requires high-performance, low-cost, and highly interoperable underlying infrastructure. This is also a crucial reason for the birth and successful mainnet launch of MindChain.
As the world's first FHE blockchain specifically designed for AI agents, MindChain addresses the core security and trust challenges faced by agents in the Web2 and Web3 worlds, ensuring they can operate in an environment with complete privacy, verifiability, and integrity assurance.
Currently, Mind Network has deployed the Orchestration contract on MindChain, allowing developers to immediately access the system, which also heralds the acceleration of AgenticWorld's arrival.
In fact, transitioning from Web2 to Web3, from empowering AI to landing in real application scenarios, the AgenticWorld ecosystem has already shown unique advantages in multiple fields.
From Web2 to Web3, opening the ceiling of AI imagination.
Under the system of AgenticWorld, through ecological cooperation, Mind Network's enhancement of AI capabilities has been reflected in multiple aspects:
In AI storage, Mind Network collaborates with projects like IPFS, Arweave, and Greenfield to provide AI data storage services focused on privacy and security.
In AI computing, Mind Network has partnered with io.net to introduce FHE into the io.net distributed computing platform to help enhance the security of its products and further improve its ability to respond to the global GPU shortage.
In AI reasoning, Mind Network has partnered with Allora to achieve encrypted input and computation during decentralized AI reasoning processes, while verifying outputs to establish trust.
In terms of AI security, Mind Network has also teamed up with Swarms to launch a decentralized enterprise-level AI computing security system, Swarms Shield, which focuses on secure communication and computation between multiple Agentic AIs, ensuring fairness, security, and privacy in the execution of Agentic AIs.
Additionally, Mind Network has announced partnerships with next-generation TEE infrastructure Phala Network, decentralized ZK-RaaS network Lumoz, game and AI modular identity and data layer CARV, decentralized AI underlying protocol KIP Protocol, etc. On one hand, it combines technologies like TEE and ZK, while on the other hand, it promotes Mind Network's FHE Hub consensus verification in 'end-to-end secure service and autonomous consensus capability' advantages, creating the next generation of secure zero-trust AI Agent solutions.
It should be noted that AgenticWorld is not exclusively for Web3. Its ultimate goal is to enhance the service capabilities of Agentic AIs, building an efficient, highly intelligent, highly secure, and highly automated Agentic AI ecosystem to promote the arrival of an AI-driven intelligent future.
Therefore, AgenticWorld is an ecosystem that transcends the concepts of Web2 or Web3, aimed at providing services to the entire AI industry and all tracks.
This is also vividly reflected in its ecological construction.
When creating a Hub or Agentic AI, you can choose a suitable open-source agent framework according to your needs, whether it is Web2 or Web3.
Currently, the Web2 frameworks supported by AgenticWorld include the most popular LLM frameworks like LangChain / LangGraph, AutoGen, CrewAI, etc. The supported Web3 frameworks include Swarms, AI16Z, Virtuals, etc. This means AgenticWorld has stronger collaboration capabilities between Web2 and Web3.
It is worth mentioning that Mind Network has also gained recognition from top AI projects: in February 2025, DeepSeek announced its open-source code library integration of the first FHE-based encrypted AI security framework, Mind FHE Rust SDK, which is developed in Rust and aims to ensure data security, computation security, consensus security, and collaboration security among AI Agents.
Of course, in terms of how to promote the implementation of Agentic AIs in real-life scenarios, AgenticWorld also provides a paradigm-level answer: World AI Health Hub.
As a decentralized medical AI computing platform built by Mind Network in collaboration with ZAMA and InfStones, the World AI Health Hub aims to provide global users with secure, transparent, and privacy-preserving health care services. It ensures the privacy of medical data through FHE technology, avoids data misuse, and brings a new standard of data security computing to the medical industry while promoting the development of AI in the health technology sector.
When considering ecological construction from a global perspective, we can easily find that AgenticWorld's imagination goes far beyond this:
In the AgenticWorld ecosystem, each Agentic AI operates according to its goals, rules, and learning capabilities. Therefore, theoretically, under the vision of continuously enhancing AI service capabilities, AgenticWorld can adapt to any application scenario.
As more Agentic AIs and Hubs with different functions are constructed in the AgenticWorld ecosystem, their interactions, learning, and development will continuously enhance their ability to solve most problems in real life.
For example, leveraging AgenticWorld's strong advantages in data privacy protection, decentralized collaboration, efficient decision-making, and multi-party co-construction to provide comprehensive empowerment for financial development, thereby achieving a more precise, secure, and high-yield investment experience. For instance, multiple AI Agents collaborate to find the optimal arbitrage path, execute safe transactions, and so on.
According to data from the Mind Network official website, Mind Network currently supports 53,552 agents, staking over 1.2 million FHE, further enhancing ecological synergy.
TGE overraised by 174 times: using $FHE as a lever to build an ecological positive flywheel.
In the recently concluded TGE event, Mind Network performed well: raising a total of 224,778 BNB; with 74,926 addresses participating; overraising by 174 times. Meanwhile, the $FHE airdrop was also distributed simultaneously, accounting for 7.5% of the total supply of $FHE tokens.
With the commencement of the TGE, Mind Network has also officially announced the $FHE token economic model. According to the official information released, the total supply of $FHE tokens is 1 billion, with an initial circulation of 24.9%. The specific distribution rules are as follows:
Airdrop: 11.7%
Community: 30%
Public Sale: 5%
Investors: 20%
Team: 17%
Advisors: 1.3%
Liquidity Providers: 5%
Treasury: 10%
As a native token, $FHE's main application scenarios in the Mind Network ecosystem include staking $FHE to activate and run Agentic AIs, rewarding ecological contributions, payment of service fees, and managing the ecosystem through MindDAO and Hub-based proposals. The multiple effects not only make $FHE an important lever to energize the ecological economy but also inject more security into the long-term value of $FHE.
$FHE's huge community enthusiasm triggered by TGE and airdrops partly comes from Mind Network's full respect for community rights:
We can see that the shares of investors, teams, and advisors in $FHE have a vesting period of 48 months and a 12-month cliff, while community portions such as initial airdrops and public sales are unlocked at TGE. This community time difference before the project reflects Mind Network's full respect for community principles and conveys the project's determination for long-term cultivation and continuous building.
On the other hand, this community enthusiasm largely reflects the community's optimism about the future potential of $FHE:
I believe many people have already noticed that the name of the $FHE token is the same as Fully Homomorphic Encryption technology FHE. This direct naming method not only binds Mind and FHE more deeply but also further reflects Mind Network's determination to deepen FHE technology and promote its widespread application.
From a perspective of future growth, the current market capitalization of $FHE is approximately $16 million, with an FDV of about $66 million, lower than the previous valuation of $100 million.
From the perspective of Mind Network in the AI race, if we compare Mind Network's market value with projects like Nillion and MyShell in the same track, it is not difficult to find significant upward potential for $FHE. Under the grand narrative of AI security, and with Mind Network being the only project currently focusing on AI Agent consensus, $FHE is expected to grow into a core asset of the 'AI Agent Security Engine'.
From the perspective of the FHE narrative, security serves as the cornerstone of the industry. Security computing solutions, including ZK, FHE, and MPC, have always been favorites among capital, communities, and users. We also see multiple ZK concept projects easily valued at tens of billions of dollars, while Mind Network focuses on FHE as the cryptographic Holy Grail. It has been recognized by NIST (National Institute of Standards and Technology) as a post-quantum encryption standard and is also endorsed by industry leaders like Vitalik Buterin. As one of the few projects truly promoting the practical application of FHE technology, Mind Network further raises community expectations for the future performance of $FHE.
Conclusion
We are indeed looking forward to such a future:
In a vibrant Agentic World, with FHE as the security cornerstone, facilitating Agentic AIs to rapidly iterate towards more intelligent, efficient collaboration, and stronger execution capabilities, helping us solve most problems.
With the TGE kicking off on April 10, 2025, Mind Network will continue to exert efforts in products, ecology, and other aspects:
As milestones land, more users and developers flood into the AgenticWorld ecosystem, creating more interactions in DeFi, social, governance, and other areas. The future of this envisioned Agentic World is gradually unfolding before us.
As a participant and witness in the wave of Agentic AIs, are you ready to experience all of this?
