In 2023, the explosion of AutoGPT made the world realize that Agentic AI (autonomous AI agents) is the true game changer. However, amidst the excitement, developers quickly discovered three "midnight horror" issues:
Privacy Paradox: Wanting the agent to help manage assets while fearing it will leak your wallet balance;
Trust Dilemma: How to prove that the invoked GPT-4 is not a hacker's forgery?
Collaboration Black Box: When 10 agents predict the ETH price together, how to prevent them from ultimately giving you the best result?
It's like teaching a group of kindergarten kids to cooperate in building blocks—except each child is wearing a cryptographic mask (unable to see others' actions), holding cryptographic blocks (unable to touch the physical objects), and needing to verify who hasn't cheated (ZKP). This is the core contradiction that AgenticWorld aims to solve.
When AI agents learn "cryptographic socializing," a quiet revolution is happening
How to reshape the trust infrastructure of AI with FHE and blockchain, the more autonomous AI becomes, the more sleepless humans are?
In 2023, the explosion of AutoGPT made the world realize that Agentic AI (autonomous AI agents) is the true game changer. However, amidst the excitement, developers quickly discovered three "midnight horror" issues:
Privacy Paradox: Wanting the agent to help manage assets while fearing it will leak your wallet balance;
Trust Dilemma: How to prove that the invoked GPT-4 is not a hacker's forgery?
Collaboration Black Box: When 10 agents predict the ETH price together, how to prevent them from ultimately giving you the best result?
It's like teaching a group of kindergarten kids to cooperate in building blocks—except each child is wearing a cryptographic mask (unable to see others' actions), holding cryptographic blocks (unable to touch the physical objects), and needing to verify who hasn't cheated (ZKP). This is the core contradiction that AgenticWorld aims to solve.
The Cryptographic Holy Grail Emerges: FHE's "Five Kill" Performance
Fully Homomorphic Encryption (FHE): The trump card—this technology, known as the "cryptographic holy grail," accomplishes five impossible tasks in AgenticWorld: 
Typical case:
A DeFi user lets the agent manage ETH positions:
The agent encrypts the position data with FHE and queries the prediction hub for signals;
Five analysis agents reach a consensus in an encrypted state: "Bullish";
The user agent uses ZKP to prove that it strictly follows the strategy;
Throughout the process, no one knows the specific positions, prediction logic, or even who the trading counterpart is.
Why is AgenticWorld the "Blockchain Moment for AI"?
Compared to traditional AI, the AgenticWorld built by Mind Network has three major paradigm breakthroughs:
① Decentralized Autonomy
Traditional AI: Requires trust that OpenAI's servers will not act maliciously
AgenticWorld: Relies on mathematics (FHE+ZKP) rather than corporate reputation
② Economic System Design
- Token Incentives: The $FHE token is expected to be used to reward agents and users who contribute to the ecosystem
③ Multi-Chain Collaborative Network
Humorous Insight:
"It's like getting Bitcoin miners, Ethereum DeFi farmers, and Solana NFT players to team up—
except now they are all wearing cryptographic headsets, speaking FHE jargon."
The Giants' Shadow War: The "Agent War" of Microsoft, OpenAI, and Web3
Although "AgenticWorld" was recently launched by Mind Network, the concept indeed originates from the forward-looking layouts of AI giants:
Microsoft (Satya Nadella):
"Combining Copilot, Azure AI, and autonomous agents can build a rich AgenticWorld"OpenAI:
Developing an "Agent-to-Agent communication protocol"
Acquiring Global Illumination to lay out multi-agent systems
Google:
The "Gemini Era" strategy explicitly mentions "autonomous agent networks"
Mind Network's Differentiation:
While Web2 giants compete on model scale, Mind Network chooses to be the "HTTPS layer for AI"—
using FHE+blockchain to solve the dirtiest and most laborious trust issues, allowing any agent to safely "socialize."
Developer Manual: How to Leverage AgenticWorld?
① For Cryptography Geeks
Challenge FHE circuit optimization (existing solutions are 1000 times slower than plaintext computation)
Design a new "encrypted agent consensus algorithm" (opportunities for paper citations++)
② For AI Engineers
- Wrap existing models with the Mind Network SDK:
③ For Ordinary Users
Participate in AgenticWorld, currently able to mint agents for free, laying out early strategies and participating in ecosystem construction
Staking $FHE tokens to become a validator snapshot has been completed, and staking mining (the PoS of the AI world) is expected to go live soon
Risks and Opportunities Existing Challenges:
The hardware costs of FHE may concentrate early applications in high-net-worth scenarios (such as institutional trading)
Multi-agent games may give rise to new types of cryptographic adversarial attacks (requiring ongoing research)
Regulatory attitudes towards "cryptographic AI" remain unclear
Mind Network's Advantages:
Has received investments from Binance Labs/Animoca
Has obtained Ethereum Foundation Grants twice
Collaborates with multiple projects like Chainlink
This is a "Not Sexy but Deadly" Infrastructure Revolution
AgenticWorld may not become an overnight sensation like ChatGPT, but it is quietly addressing the most fundamental issues of the AI era:
When agents gain free will, how to ensure they are both smart and honest?
Perhaps one day in the future, when your AI agents conspire through FHE to help you make money, you will remember—
it all started with that group of "stubborn" cryptographers at Mind Network, insisting on letting mathematics, not big companies, control the rules of AI.
"In AgenticWorld, there is no black box AI, only verifiable smart contracts."
— A researcher debugging FHE circuits at three in the morning
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