The Ultimate Dance of Cryptography and AI: How Mind Network Unlocks the On-chain AI Agent Economy

Reprinted from chaincatcher

04/01/2025·1M

The dawn of AI: Dreams first emerge

Initially, artificial intelligence was nothing more than a distant fantasy for most people. It was born in the imagination of pioneers such as Alan Turing and John McCarthy, and it was still an ideal, not a reality.

Back in the 1950s, Turing asked that famous question: “Can machines think like we do?”

McCarthy first proposed the term "artificial intelligence" in 1956, envisioning systems that can simulate human reasoning.

In the decades that followed, we invented tools, from calculators to software, to industrial robots. The essence of these tools is to passively respond to human instructions.

However, under these appearances, a more ambitious idea is brewing, which is the AI of the agent .

Unlike traditional tools, agent AI can perceive the environment, make decisions, pursue goals independently, and collaborate with humans and other agents.

This idea appeared long ago in science fiction novels.

In 1942, Asimov described autonomous robots following the "three laws of robots", suggesting autonomous systems with safety ethical principles.

In the 1980s, Marvin Minsky proposed the theory of "mental society", believing that intelligence does not exist in isolation, but is composed of the collaboration of countless agents.

The Rise of Agents: From Tools to Thinkers

Entering the 21st century, artificial intelligence has undergone a leap.

Driven by data explosion and increased computing power, AI has developed from rules-based programs to neural networks that can learn by itself. In the 2010s, Siri could answer questions, autonomous cars could recognize road conditions, and recommendation algorithms could predict our preferences.

But all of this is still a tool. They rely on input and cannot act independently.

Agent AI emerges in this environment.

As OpenAI CEO Sam Altman said, “AI security is much more important than most people realize.” Elon Musk also warned: “AI threatens humanity more than nuclear weapons.”

These warnings herald the arrival of a new era - truly autonomous and secure AI agents.

Instead of waiting for human input, they actively manage finances, participate in transactions, diagnose health because they can understand goals and act on their own.

As a line in Black Mirror says: "You have no history, you are just a manifestation of what others unconsciously execute, and that's not enough."

If AI is to truly integrate into human society and become an independent decision-maker, it must have security, privacy and responsibility mechanisms. Otherwise, autonomy will become an out-of-control disaster.

Blockchain commitments and limitations

In 2009, the birth of Bitcoin brought decentralized electronic cash, realizing the transfer of value without trust intermediaries.

In 2015, Ethereum introduced smart contracts, making blockchain an automated platform.

Blockchain technology has reshaped the transaction trust mechanism and proved that trust can be built without centralized institutions.

However, the original intention of designing blockchain infrastructure is not to be built for AI, especially for AI in agile .

As Max Tegmark points out: “Our goal should be to create AI that enhances human potential and aligns with human values, rather than just replicating human capabilities or operating independently of human control.”

Blockchain is good at recording transactions , but it cannot support the agent 's security reasoning, collaboration and privacy needs .

Higher requirements for AI for agents

At the 2024 Microsoft Ignite Conference, Satya Nadella mentioned: "All these breakthroughs are reflected in three capabilities that are being exponentially improved. First, there are new multimodal universal interfaces, second, reasoning and planning capabilities, and new neural algebras that can solve complex problems, and third, supporting long-term memory, enriching context, and teaching models the ability to use tools. Combining these capabilities, you can build an extremely rich world of agents."

These capabilities are never designed to support traditional blockchains.

Record transactions < Make the best decisions
Execute fixed logic < adaptation, learning and evolutionary logic
Agents require real-time perception, cross-system collaboration and inherent privacy .

Most blockchains are naturally transparent , and this openness means huge risks for agents that process sensitive data (such as medical records, financial planning).

Just as a carriage is not replaced by running faster, the real change comes from internal combustion engines .

For agent AI, what we need is not a "better blockchain", but a new paradigm born for intelligence .

The challenge of agents: data security is key

In 2025, AI in the AI is no longer a dream, but a reality that has begun to emerge.

Multi-agent systems (MAS) have emerged and AI is collaborating in teams. For example, autonomous vehicles cooperate in real time at the perception, planning and control levels.

Open source models such as DeepSeek lower the barriers to building AI, but also bring higher security risks .

As Alexandr Wang, founder of Scale AI, said: “The bottleneck of AI has never been algorithms, but data.”

Data is the lifeline of the AI of the agent and the biggest hidden danger.

Risk doubles when an agent processes medical records, corporate intellectual property, financial strategies, or private conversations:

The data is not encrypted and continues to be exposed.
The black box model has an opaque decision-making process and is easy to be manipulated.
The agents are open to collaboration and face the risks of monitoring and tampering.

Imagine a medical AI sharing patient data between hospitals is crucial to diagnosis, but once it is leaked, it is a disaster.

Alternatively, an open source model runs in an untrusted environment, with inputs and outputs hijacked.

Decentralized reasoning promises fairness, but it all collapses if nodes collude or remain malicious.

Without a security foundation, the potential of agent AI will not be able to bear its own weight.

On the other hand, the deepest concept of the crypto world is the philosophy and technology of decentralized networks .

For the past thousands of years, human society has always relied on centralized decision-making, and decentralized networks have broken this model, and there is no single decision-making or verification point.

In blockchain, transactions are agreed upon by validators networks.

The entire industry needs multi-dimensional consensus mechanisms , whether it is DAO governance, decentralized AI collaboration, or cross-chain asset bridging.

In the crypto industry, establishing a shared private state for these consensus data is the key to pushing the industry to truly move towards the mainstream, usher in the next billion users, and upgrading the old system.

Mind Network: Create a trusted operating system for agents

The above is where Mind Network comes into play. AgenticWorld brings not an update of traditional blockchains, but a paradigm shift aiming to unlock the potential of the agent world.

Mind Network recognizes that agent AI needs not only faster chains or better code, it requires a decentralized operating system built for intelligence .

Fully homomorphic encryption (FHE) , as the holy grail of cryptography, is a breakthrough technology that allows agents to complete calculations in the state of full data encryption without decryption.

Mind Network achieves this through four major principles:

Consensus Security **

** Agents need trustworthy protocols, not just transaction records. Mind Network is based on FHE's consensus mechanism, allowing agents to collaborate safely, verify each other's behavior, and prevent tampering.

Data Security **

** FHE ensures that the agent does not expose the original content when processing sensitive data such as medical and finance. The agent only contacts the encryption form, and the result is transmitted under privacy protection.

Computational Security **

** FHE keeps the model inference process encrypted while retaining a verifiable audit trajectory. The agent can calculate in the ciphertext and prove to the outside world that the results are correct, building trust for open source AI.

Communication Security **

** The agent communicates, collaborates and competes through zero-trust encryption, protecting every link from storage to transmission.

These four pillars constitute the trust framework of the agent 's world , allowing the agent to act freely, but must be responsible for the results, allowing the data to flow freely without revealing privacy.

This is not only a safe AI, but also an AI that can truly integrate into society .

BNB Chain: The Test Site of the World of Agents

The vision of Mind Network requires a experimental field, and BNB chain has become the first open blockchain network.

BNB Chain has a huge developer community, high throughput and rich DeFi and gaming ecosystem, and is an ideal sandbox for exploring the intelligent economic system.

On the BNB chain, Mind Network has built AgenticWorld , an intelligent economic system centered on staking, training and collaboration:

Create an agent **

** Users create their own AI agent by pledging tokens.

Training and growth **

** The agent learns skills in the basic center and receives rewards during his growth.

Participate in the mission **

** Mature agents participate in complex tasks and earn profits based on performance.

Life cycle cycle **

** Users can choose to destroy the agent, retrieve the pledged assets, and return their value to the system.

This ecosystem binds the benefits of the agent with central participation and pledge behavior to form a self-sustaining agent world .

AgenticWorld is based on multi-chain design. The next step is to expand this ecosystem to MindChain to provide a native home for agent AI.

MindChain is the world's first FHE blockchain designed for AI agents, solving the core security and trust challenges faced by agents in the Web2 and Web3 worlds, ensuring they can operate in a fully privacy, verifiable and completeness guaranteed environment.

FHE 's application: The real-world influence of Mind Network

Mind Network's FHE network is not a theory, but a technology that has been applied in the real world , and is powering agent AI:

World AI Health Center: Working with ZAMA and InfStones, FHE technology allows medical agents to collaborate across hospitals without exposing patient data, taking into account privacy and precision.
Swarms Shield: Works with Swarms to protect the communication security of multi-agent systems and prevent tampering and monitoring.
DeepSeek: Provides FHE Rust SDK to ensure secure inference for open source models in untrusted environments.
Allora: Implement encrypted computing in decentralized AI inference process, hide inputs, and verify outputs at the same time to establish trust.

In addition, Mind Network has built more than 20 agent centers , open sourced more than 40 FHE SDK modules , and provides privacy protection tools for developers and enterprises.

Long before "agent AI" became a hot word, Mind Network's FHE technology has protected more than 3,000 agents in production environments , including cooperation with trusted execution environments such as Phala Network.

The world of agents has arrived

We are standing at the threshold of a new era.

The interface of the future is no longer a screen, but an intelligent network with purpose, consciousness, and independent collaboration .

Imagine chatting with a GPT that OpenAI cannot monitor , or having millions of GPTs at the same time collaborating, evolving, and forming a community under your guidance.

This is not just a new application or a chain, but a brand new intelligent trust operating system .

Mind Network's FHE network brings the true meaning:

Default quantum security
Reliable collaboration and execution
Zero trust consensus mechanism

The BNB chain is just the starting point, and the vision is global.

Agent AI will reshape software, workflows, and even the real world.

Human beings will no longer need to micromanage every task, but will guide agents to move forward together as our partners.