Author: Deep Tide TechFlow
On April 10, 2025, at 19:00, the privacy infrastructure project Mind Network, based on Fully Homomorphic Encryption (FHE) technology, officially launched its Token Generation Event (TGE) on the PancakeSwap platform, achieving an oversubscription of 174 times. This remarkable result not only showcases the enthusiastic community participation but also attracts more attention to the project.
As a project supported by multiple institutions, including the Binance Incubator, Ethereum Foundation Fellowship Grant, and Chainlink Build Program, Mind Network secured $10 million in Pre-A funding in September 2024, attracting participation from well-known institutions such as Animoca Brands, Arkstream Capital, and Cogitent Ventures. Recently, discussions around Mind Network have increased significantly, driven by a series of major moves in the AI field, including the launch of AgenticWorld and integration into the DeepSeek open-source codebase.
In the past few months, we have been on the thrilling roller coaster of AI Agents: according to Cookie.Fun data, the total market value of the AI Agent sector has significantly dropped to around $6 billion, compared to its peak of over $20 billion in 2024. However, few people reminisce about the AI Agent Summer of 2024. From "narrative first" to "narrative + technology dual-driven," AI Agents are transitioning through the early hype phase, with practitioners gearing up to seek long-term value that can truly benefit users, leading the AI Agent roller coaster to soar once again.
In this search process, whether in Web2 or Web3, the Western world or the Eastern world, the focus seems to gradually converge on a common point: from AI Agents to building a more autonomous, collaborative, and adaptive Agentic AI ecosystem, allowing AI to genuinely solve problems in more real-world scenarios.
As Microsoft CEO Satya Nadella described the future of agent AI at the 2024 Ignite conference: building a richly diverse world of agents (Agentic World).
However, beneath the bustling city of Agentic AI, the security issues that serve as the foundation cannot be ignored and are difficult to eradicate, whether it is the privacy breaches, model theft, and algorithmic bias brought about by Web2 centralization, or the decentralized governance risks and cross-chain collaboration challenges faced by AI development under the Web3 blockchain framework.
This is precisely why Mind Network has garnered significant attention with its FHE-centric narrative.
As Ethereum founder Vitalik Buterin stated in his latest article “Why I support privacy”:
"AI development has brought deeper privacy concerns… The computational structure of LLMs (large language models) is primarily linear, which aligns well with the mathematical characteristics of FHE, potentially giving rise to highly efficient FHE implementation solutions… The combination of AI and FHE will be central to solving privacy issues in the future, especially when analyzing private data."
As the world's first FHE blockchain project specifically designed for AI agents, Mind Network is leveraging the significant advantages of FHE in AI security to build a secure foundation for the development of Agentic World. Meanwhile, with the launch of the trusted ecological product AgenticWorld aimed at agent AI, a tangible framework for the future of multi-agent secure and efficient collaboration that both Web2 and Web3 aspire to is being outlined.
Exploring AgenticWorld: An Intelligent Ecosystem Driven by Multi-Agentic AI Collaboration
Have you ever envisioned a future where:
No matter what problem you encounter in life, you only need to issue commands based on your needs, and Agentic AI will autonomously complete every step of collaboration, analysis, decision-making, and execution, whether it’s preference settings, health management, or financial investment.
In the face of more complex scenarios and higher-difficulty tasks, our vision of a better future not only demands higher standards for the privacy and security of Agentic AI but also requires efficient collaboration among various Agentic AIs.
This is what AgenticWorld aims to achieve.
As a personalized simulation environment designed specifically for Agentic AI launched by Mind Network, AgenticWorld will inevitably feature multiple intelligent agents with autonomous decision-making capabilities. Therefore, first and foremost, AgenticWorld needs to support the creation of Agentic AI.
The $FHE token TGE has just concluded, and the functionality to stake $FHE to activate and train Agentic AI in AgenticWorld is now live: currently, users only need to stake 10 $FHE to activate Agentic AI, and after the event concludes, this standard will change to 100 $FHE.
What happens after activation? Do you just throw a token into the pool for your Agentic AI?
Actually, there are many more meaningful things to do:
AgenticWorld aims to enable Agentic AI to grow rapidly, even generating continuous benefits for users during the training and growth process while solving specific problems. Therefore, AgenticWorld offers two types of Hubs for Agentic AI training, with rewards for any training completed:
Basic Hub helps Agentic AI acquire the necessary capabilities to operate within the AgenticWorld framework. Currently developed basic training Hubs include FCN (FHE Consensus), FDN (FHE Decryption), and RandGen (Random Number Generation). Rewards can be earned by completing training, with an expected APY of up to 400%.
Advanced Hub assists Agentic AI in continuously improving its problem-solving abilities while completing more complex tasks. In the future, AgenticWorld will introduce more advanced Hubs covering applications such as multi-agent consensus, medical AI, and decentralized reasoning. 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 Agents to participate in work 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: during the current limited-time event, starting an Agent only requires staking 10 $FHE. After staking $FHE to activate Agentic AI, there will be an initial lock-up period of 30 days (maturation period), during which all staked principal and rewards will be locked. After 30 days, users can submit requests to withdraw rewards at any time, with 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 earlier about "multi-agent collaboration serving more real-world scenario needs," how can we help Agentic AI continuously enhance its 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), which we can understand as an open, universal, and consensus-based protocol standard. With this standard, AI models have a "universal interface," allowing them to seamlessly interact with different data sources and tools, thereby helping Agentic AI efficiently collaborate to solve real problems, achieve higher-level growth, and earn greater rewards.
Specifically, there are three levels in the design of AgenticWorld.
The top level is Agentic AI:
As task executors, Agentic AI is responsible for performing computations on encrypted data and returning the results to the Hub to earn rewards. Each Agentic AI needs to register with the Hub, and during the task execution process, Agentic AI may need to pay the Hub to invoke functions that enhance task-solving capabilities; Agentic AI can operate independently or collaborate with other Agentic AIs to complete complex tasks.
The Hub Contract connects Agentic AI with the Orchestration layer:
The Hub is a smart contract that defines tasks in specific domains (such as prediction, verification, negotiation, etc.) and has the authority to determine 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 AI registers the task through the Hub, performs computations, and collaborates with other Agentic AIs; during this process, the Hub may need to pay other Hubs to invoke functions that enhance task-solving capabilities.
The Orchestration layer provides 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, it 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 all Agentic AI activities across all Hubs, allowing it to fairly calculate contributors' efforts from a global perspective and distribute $FHE token rewards.
Throughout the process, in addition to the specific rewards for tasks, $FHE, as the native token of Mind Network, plays the role of an incentive hub for the AgenticWorld ecosystem.
For developers: they can create Agentic AIs to perform tasks and earn rewards; they can also earn rewards by creating and managing Hubs.
For ordinary users: AgenticWorld supports one-click creation of Agentic AIs, allowing them to earn rewards from tasks performed by Agentic AIs while enjoying the intelligent services provided by the continuously evolving Agentic AIs.
Every participant in the AgenticWorld ecosystem will earn rewards based on their contributions, and the flow of rewards will be transparent and traceable. This ensures a highly flexible, fair competition, and continuously growing state between Hubs and Agentic AIs, with the ecological flywheel driving AgenticWorld towards a more collaborative and intelligent direction.
We can take the example of a user wanting to receive monthly on-chain investment advice to more clearly understand the operational process of AgenticWorld in a specific scenario.
First, the Orchestration layer will search for suitable Hubs and Agentic AIs among all registered entities based on the user's needs and assign the task. Completing this task will involve collaboration among multiple Agentic AIs across several Hubs, such as prediction, lending, stablecoin yields, RWA, etc.
Upon receiving the task, different Agentic AIs will use specific AI models to analyze and generate investment advice, returning it to the Hub. During this process, each Agentic AI may interact with several other Agentic AIs to gain more analytical support, thereby generating results that better meet the task requirements.
The Hub plays roles in facilitating data encryption and transmission, as well as model collaboration: 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 cross-model data fusion.
Finally, the Orchestration layer will integrate the output results from different Agentic AIs to generate a comprehensive investment portfolio optimization plan to return to the user and will be responsible for monitoring the execution effectiveness of the entire process, then distributing rewards to the Hubs.
When the Hub receives the rewards, a portion is retained for itself, and a portion is allocated to the Agentic AIs that participated in the task. The specific distribution rules are determined by the Hub itself, and a fairer distribution will attract more Agentic AIs to register, thereby continuously enhancing their ability to solve tasks and earn rewards.
This design looks very promising, and leveraging the decentralized power of blockchain to break the monopoly of AI development, along with the groundwork laid by a wave of explosive growth in AI Agents, brings us one step closer to this multi-agent collaboration era. However, to truly solve problems in specific real-world scenarios, many key points are overlooked:
If we want to expand the service scope of Agentic AI, we need more data, including some sensitive data. For example, if we need to provide a health check report to Agentic AI for health analysis, how do we address privacy issues?
If we want to enhance the service capabilities of Agentic AI, collaboration among multiple Agentic AIs with different expertise is an inevitable trend. For instance, if we need investment advice 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 AI provides us with a "result," how can we trust that this result is genuinely correct and in the user's best interest?
These are the issues that current blockchain technology cannot solve. As Mind Network states: what we need is not a "better blockchain," but a new paradigm born for AI.
By attributing the problems, Mind Network has proposed four major standards for the future development of the AgenticWorld ecosystem:
Data Security: Ensure that Agentic AI does not expose raw content when processing sensitive data.
Communication Security: Ensure that Agentic AIs can engage in encrypted communication, collaboration, and competition with zero trust.
Computation Security: Ensure that the inference process of Agentic AI models is encrypted throughout, while retaining verifiable audit trails.
Consensus Security: Ensure that there is a mechanism to guarantee secure collaboration between Agentic AIs, verifying each other's actions and preventing tampering.
All issues seem to converge on the keyword "security."
The importance of AI security is self-evident; it is a key prerequisite for whether AI technology can develop positively and healthily, better promoting the progress of human civilization. Solutions built around AI security issues are not only recognized as critical for the development of the Agentic World ecosystem but also resemble oracles for blockchain, representing the next key infrastructure for AI ecosystem development.
OpenAI CEO Sam Altman has also issued a warning: AI security is much more important than most people realize.
Finding answers based on problems, Mind Network has discovered FHE.
FHE: The Holy Grail of Encryption Security, the Foundation for AgenticWorld
What is FHE (Fully Homomorphic Encryption technology)?
In simple terms, it is an advanced encryption technology that is difficult to explain clearly in just a few sentences. However, unlike other encryption schemes, FHE has a very important feature:
It allows for direct function computation on ciphertext without decrypting it, obtaining the encrypted result of that function output, achieving security and privacy throughout the entire process.
This is a key characteristic that attracts Mind Network to continuously delve into FHE and serves as the core technological foundation for building the secure base of AgenticWorld. Through a layered architecture design based on FHE technology, Mind Network has implemented an end-to-end encrypted protocol, promoting the construction of a new paradigm of internet security known as HTTPZ (Zero Trust Internet Transport Protocol):
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 for AgenticWorld, where Agentic AIs can enhance their capabilities and collaborate securely. Depending on their training and requirements, they can be categorized into basic and advanced Hubs.
On this infrastructure built on FHE technology, Mind Network, which delves into FHE, has achieved multiple research outcomes, including FHE verification aimed at ensuring integrity and security without exposing sensitive data, FHE consensus designed to ensure decentralized network decision-making is trustless and verifiable, FHE Bridge for achieving truly secure cross-chain interactions, and the world's first FHE blockchain, MindChain. These developments closely align with the core narrative of Agentic AI, providing corresponding solutions to the dilemmas faced in the ecological development of AgenticWorld, whether in data, communication, computation, or consensus security.
Of course, the threshold for understanding this hardcore technology, FHE, is relatively high. Therefore, we can also take the example of "obtaining an investment recommendation" to understand how FHE empowers the development of Agentic AI in different collaborative scenarios.
In ensuring the privacy of highly sensitive data:
You are a crypto player with assets across multiple chains and sectors. You need to provide your asset allocation to Agentic AI to receive a personalized investment recommendation. 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 encrypt their asset data using the FHE public key and send the encrypted data to Agentic AI.
Due to FHE's characteristic of "computing without decryption," Agentic AI can perform calculations on the encrypted asset data. If collaboration is involved, 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 on, for the third and fourth AIs…
Once multiple Agentic AIs complete collaborative calculations and generate investment recommendation results, the 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.
In verifying the correctness of output results:
Often, Agentic AI needs to rely on information sources from other external AI products to make decisions. For example, to make investment judgments, Agentic AI may need to collaborate with Deepseek for macroeconomic analysis. However, more external factors introduce greater uncertainty. How can we verify the accuracy and security of output content without accessing internal weights, logic, or viewing the private data of verifiers?
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, upon receiving the task, will independently produce verification results using its own model and submit the results encrypted via FHE to the Hub.
The Hub aggregates these encrypted verification feedback through the security verification mechanism built on FHE by Mind Network and obtains the final verification result.
Finally, the verification result will be returned to the user's Agentic AI in an encrypted manner, and the user can use their own key to decrypt and read the result. If the result is trustworthy, the user can confidently adopt the feedback.
Achieving verifiable "result consensus" during collaboration among multiple Agentic AIs follows the same principle:
This scenario is quite common. For instance, if Agentic AI suggests that users participate in lending to earn returns, it 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, the user's Agentic AI can submit tasks to the network through registered Hubs. The Orchestration layer will forward the tasks to multiple Hubs and Agentic AIs capable of handling requests. Each Agentic AI will independently compute and produce a result using its own model and submit the result encrypted via FHE to the Hub.
The Hub, through the security consensus mechanism built on FHE by Mind Network, compares the results and reaches a consensus on the optimal result, ensuring that the decision-making is trustless, verifiable, and tamper-proof.
Finally, the final result will be returned to the user's Agentic AI in an encrypted manner, and the user can use their own key to decrypt and read the result.
In terms of cross-chain collaboration among multiple Agentic AIs, the Mind Network built on FHE technology will bring groundbreaking innovations to AgenticWorld.
As we know, broader collaboration will lead to higher-level intelligence. For example, when formulating investment recommendations, your assets may be distributed across different chains such as Ethereum, Solana, BNB Chain, Base, etc. How can we ensure the efficiency and security of cross-chain collaboration amid interoperability challenges?
In AgenticWorld, Agentic AIs from different chains can register with the same Hub to contribute. For instance, Agentic AIs from BNB Chain and MindChain can both register with Hub 1.
Upon receiving a task, each Agentic AI independently computes, outputs results, and encrypts the feedback to the Hub. The Hub acts as a hub for cross-chain interactions, coordinating the data flow between different chains.
In this way, when the results are returned to the Agentic AIs, the complete cross-chain collaboration is accomplished: each Agentic AI performs operations locally, but each Agentic AI receives the results after cross-chain collaboration.
As the world's first FHE blockchain designed specifically for AI agents, MindChain serves as the underlying infrastructure for AgenticWorld.
More importantly, whether for large-scale creation of Agentic AIs or high-frequency collaborative interactions among different Agentic AIs to complete richer and more complex tasks, AgenticWorld requires a high-performance, low-cost, and highly interoperable underlying infrastructure. This is also a significant reason for the birth and successful mainnet launch of MindChain.
As the world's first FHE blockchain designed specifically 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 that guarantees complete privacy, verifiability, and integrity.
Currently, Mind Network has deployed Orchestration contracts on MindChain, allowing developers to immediately access the system, signaling the accelerated arrival of AgenticWorld.
In fact, from Web2 to Web3, from empowering AI to landing in real application scenarios, the AgenticWorld ecosystem has already demonstrated unique advantages in multiple fields.
From Web2 to Web3, breaking the AI imagination ceiling
Under the framework of AgenticWorld, through ecological cooperation, Mind Network has enhanced AI capabilities in several 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 computation, Mind Network has partnered with io.net to introduce FHE into the io.net distributed computing platform, helping to enhance the security of its products and further improve its ability to address the global GPU shortage.
In AI inference, Mind Network has established a partnership with Allora to achieve encrypted input and computation during decentralized AI inference processes while building trust through output verification.
In AI security, Mind Network has also collaborated with Swarms to launch the decentralized enterprise-level AI computing security system, Swarms Shield, which focuses on secure communication and computation among multiple Agentic AIs, ensuring fairness, security, and privacy in Agentic AI execution.
Additionally, Mind Network has announced collaborations with next-generation TEE infrastructure Phala Network, decentralized ZK-RaaS network Lumoz, gaming and AI modular identity and data layer CARV, and decentralized AI underlying protocol KIP Protocol. This combines TEE, ZK, and other technologies while leveraging Mind Network's FHE Hub consensus verification advantages in "end-to-end secure services and autonomous consensus capabilities" to create next-generation secure zero-trust AI Agent solutions.
It is important to note that AgenticWorld is not exclusively for Web3; its ultimate goal is to enhance the service capabilities of Agentic AI, building an efficient, highly intelligent, highly secure, and highly automated Agentic AI ecosystem to promote the early arrival of an AI-driven intelligent future.
Therefore, AgenticWorld is an ecosystem that transcends the concepts of Web2 and Web3, aiming to provide services across the entire AI industry and all sectors.
This is vividly reflected in its ecological construction.
When creating a Hub or an Agentic AI, you can choose a suitable open-source agent framework based on your needs, whether it is Web2 or Web3.
Currently, the Web2 frameworks supported by AgenticWorld include the most popular LLM frameworks such as LangChain / LangGraph, AutoGen, CrewAI, etc. The supported Web3 frameworks include Swarms, AI16Z, Virtuals, etc. This means that AgenticWorld has a stronger collaborative capability between Web2 and Web3.
It is worth mentioning that Mind Network has also received recognition from top AI projects: In February 2025, DeepSeek announced the integration of the first FHE-based encrypted AI security framework, Mind FHE Rust SDK, into its open-source code repository. This SDK, developed in Rust, aims to ensure data security, computational security, consensus security, and collaborative security among AI agents.
Of course, in terms of how to promote the real-world application of Agentic AI, AgenticWorld has also provided a paradigm-level answer: World AI Health Hub.
As a decentralized medical AI computing platform built in collaboration with ZAMA and InfStones, World AI Health Hub aims to provide secure, transparent, and private health care services to global users. It ensures medical data privacy through FHE technology, prevents data misuse, sets a new standard for data security computing in the medical industry, and promotes the development of AI in the health technology field.
When considering ecological construction from a global perspective, we can easily find that the imagination of AgenticWorld goes far beyond this:
In the AgenticWorld ecosystem, each Agentic AI operates according to its own 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 and more Agentic AIs and Hubs with different functions are built in the AgenticWorld ecosystem, they will interact, learn, and develop, continuously enhancing their ability to solve most real-life problems.
For example, leveraging AgenticWorld's strong advantages in data privacy protection, decentralized collaboration, efficient decision-making, and multi-party co-construction, it can provide comprehensive empowerment for financial development, resulting in a more precise, secure, and high-yield investment experience. This includes multiple AI agents collaborating to find optimal arbitrage paths and executing secure transactions.
According to data from the Mind Network official website, Mind Network currently supports 53,552 agents, with over 1.2 million FHE staked, further strengthening the ecological synergy.**
TGE Over-Subscription 174 Times: Building a Positive Flywheel for the Ecosystem with $FHE
In the recently concluded TGE event, Mind Network performed well: a total of 224,778 BNB was raised; 74,926 addresses participated; over-subscribed by 174 times. Meanwhile, the $FHE airdrop was also distributed simultaneously, accounting for 7.5% of the total supply of $FHE tokens.
With the launch of TGE, Mind Network also officially announced the $FHE token economic model. According to the information released by the official, the total supply of $FHE tokens is 1 billion, with an initial circulation of 24.9%. The specific allocation 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 AI, rewarding ecological contributions, paying service fees, and managing the ecosystem through MindDAO and Hub-based proposals. These multiple effects not only make $FHE an important lever for revitalizing the ecological economy but also inject more guarantees for the long-term value of $FHE.
The huge community enthusiasm triggered by $FHE in the TGE and airdrop comes, on one hand, from Mind Network's full respect for community rights:
We can see that the shares of $FHE allocated to investors, teams, and advisors all have a 48-month vesting period and a 12-month cliff, while the community portions such as the first airdrop and public sale are unlocked during TGE. This time difference where the community benefits before the project is a full reflection of Mind Network's respect for community principles and conveys the project's determination to cultivate and build continuously in the long term.
On the other hand, this community enthusiasm largely reflects the community's optimism about the future potential of $FHE:
Many people have likely noticed that the name of the $FHE token is the same as the fully homomorphic encryption technology FHE. This direct naming not only binds Mind more closely with FHE but also further reflects Mind Network's determination to delve into FHE technology and promote its widespread application.
From a future growth perspective, the current market capitalization of $FHE is approximately $16 million, with a fully diluted valuation (FDV) of around $66 million, which is lower than the previous round's valuation of $100 million.
From the perspective of Mind Network in the AI sector, if we compare Mind Network's market capitalization with similar projects like Nillion and MyShell, it is not difficult to see the significant upward potential of $FHE. Under the grand narrative of AI security, and given that Mind Network is currently the only project focusing on AI agent consensus, $FHE may have the potential to become the core asset of the "AI Agent Security Engine" in the future.
From the perspective of the FHE narrative, security is the cornerstone of the industry. Security computing solutions, including ZK, FHE, and MPC, have always been favored by capital, communities, and users. We have seen multiple ZK concept projects valued at tens of billions of dollars, while Mind Network's focus on FHE, regarded as the holy grail of cryptography, has been recognized by NIST (National Institute of Standards and Technology) as a post-quantum encryption standard and is also highly regarded by industry leaders like Vitalik Buterin. As one of the few projects truly promoting the implementation of FHE technology, Mind Network further raises the community's expectations for the future performance of $FHE.
Conclusion
We indeed look forward to such a future:
In a vibrant Agentic World, with FHE as the security cornerstone, facilitating Agentic AI to rapidly iterate towards greater intelligence, more efficient collaboration, and stronger execution capabilities, helping us solve the vast majority of problems.
As the TGE kicks off on April 10, 2025, Mind Network will continue to make efforts in products, ecosystems, and more:
With the landing of a series of milestones, more users and developers will flock to the AgenticWorld ecosystem, generating more interactions in DeFi, social, governance, and other areas. The envisioned future of this Agentic World is gradually unfolding before us.
As participants and witnesses in the wave of Agentic AI, are you ready to experience all of this?
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