Exclusive interview with AgentLayer co-founder: Building a decentralized AI collaboration network and creating the basic protocol layer for the future Agent economy

24-09-13 15:40
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The deep integration of AI and blockchain is redefining the way value is created and exchanged.


Recently, Coinbase CEO Brian Armstrong announced the completion of the first "AI to AI" encrypted transaction on the Base network: an AI purchased text content (token) generated by another AI through cryptocurrency (token). This transaction marks that the Agent economy is turning from imagination into reality and has made a substantial breakthrough.


In this regard, Bitcoin Sage, co-founder of Delpin Labs, said: "The AI to AI economy is not coming, but has already begun, and its development speed will exceed our imagination." This transaction is just the first domino to fall, and the entire financial landscape of mankind will be reshaped as a result. In the future, AI will no longer need humans as intermediaries to obtain resources and services, but will directly become the new main force to promote economic development. We are ushering in a new economic era-the direct creation and exchange of value between agents.


Against such a background of technological evolution and economic reshaping, AgentLayer is building a decentralized AI Agent collaboration platform as a pioneer to meet the challenges and opportunities of the future AI economy. AgentLayer's vision is to promote the deep integration of AI and blockchain through multi-agent collaboration and create a decentralized, open and sustainable AI ecosystem. As Professor Liu Yang, co-founder of AgentLayer, said in an interview with BlockBeats: "In the future, AI will no longer be a one-man show, but a collaborative one. Just like human society, AI Agents with different expertise can solve complex problems far beyond individual capabilities through collaboration."


To achieve this vision, AgentLayer has built a modular, flexible and compatible technical architecture. Its core components include the AgentLink protocol layer, the AI Agent management and maintenance platform AgentHub, and the AgentStudio visual development platform. The three work together to form a complete ecosystem that supports decentralized AI Agent development, deployment and efficient collaboration. The architecture of AgentLayer is not only compatible with multiple L2 EVM networks, significantly improving the performance and scalability of the system, but also provides a broader development space for the decentralized operation of AI Agents.


In this era of integration of decentralized AI and blockchain, AgentLayer is laying the foundation protocol layer for the future Agent economy, providing unlimited possibilities for individuals, enterprises and the entire crypto ecosystem.


AgentLayer's Vision and Positioning


BlockBeats: AgentLayer's core vision is to promote innovation in various industries through multi-agent collaboration. Can you elaborate on the concept behind this vision and how AgentLayer achieves collaboration and coordination of decentralized AI agents?


Professor Liu Yang:Our vision stems from a simple but profound insight: the future of AI is not a one-man show, but a collaborative one. Just like human society, AI agents with different expertise can solve complex problems far beyond individual capabilities through collaboration.


To achieve this vision, we created the AgentLink core protocol layer. It is like a "universal language" between AI agents, allowing different AI agents to interact safely and efficiently on the blockchain. Imagine a complex supply chain management system with different AI agents responsible for procurement, logistics, and inventory management. Through AgentLink, they can share information and coordinate actions in real time, greatly improving the operational efficiency of the entire supply chain.


Our innovation is not only reflected in technology, but also in the concept of decentralization. The AgentLink protocol can be deployed on various EVM-compatible blockchains, which means that we are not limited to a single platform and can provide a broader development space for the AI Agent ecosystem. Through blockchain technology, we have created a transparent and open AI ecosystem. Each AI Agent is an independent individual, interacting and collaborating through blockchain, avoiding the single point of failure and data manipulation risks that may be brought by centralized systems.


Our goal is to create an open and transparent AI Agent ecosystem. In this system, each agent can give full play to its expertise and can seamlessly collaborate to complete complex tasks. This will not only greatly improve the overall capabilities of AI, but also is expected to promote innovation and progress in all walks of life.


BlockBeats: AgentLayer positions itself as a "decentralized artificial intelligence L2 blockchain network." Can you explain why you chose the L2 architecture and how it improves the performance and scalability of AI Agents?


Professor Liu Yang:In fact, our positioning has evolved. AgentLayer is now more accurately described as an Agent protocol layer project that is compatible with multiple L2 EVM networks. We can be flexibly deployed on various L2 networks, not limited to a specific chain.


The choice of L2 compatibility is based on two core factors: performance and cost. The L2 network can provide faster transaction processing speed and lower gas fees, which is crucial for the frequent interaction of AI Agents. Imagine if every communication between AI Agents needs to wait for the main network to confirm and pay high gas fees, the efficiency of the entire system will be greatly reduced.


The high performance and low cost of L2 lay the foundation for us to build a smooth and economical AI Agent collaboration network. AI Agents can interact quickly and frequently on this network without worrying about delays or high fees. This greatly improves the responsiveness and availability of the entire system.


At the same time, the scalability of L2 also provides a guarantee for our future growth. With the increasing number of connected AI Agents and application scenarios, we can easily cope with the growing transaction needs without encountering congestion problems on the main network.


In addition, the strategy of being compatible with multiple L2 networks also enhances our flexibility and resilience. We do not rely on a single L2 solution, but can choose the most suitable underlying network according to the needs of different scenarios. This diversity not only reduces risks, but also provides users with more choices.


Overall, this architectural design makes AgentLayer an efficient, economical, scalable and flexible AI Agent collaboration platform. We are paving the way for large-scale AI Agent networks in the future, making complex multi-agent collaboration possible.


Technical Innovation: AgentLayer's Core Architecture


BlockBeats: Can you give us a detailed introduction to AgentLayer's core components, such as AgentHub, AgentLink, and AgentStudio? How do these components work together to support the operation of decentralized AI Agents?


Professor Liu Yang: AgentLayer's system design concept is modularity and synergy. Each component has its own unique functions, while working seamlessly to support the operation of decentralized AI Agents.


AgentLink is our core protocol layer, like a "universal language" and "transportation system" for AI Agents. It supports key functions such as agent collaboration, calling and payment. In a complex financial trading system, there may be different AI Agents responsible for risk assessment, market analysis, and transaction execution. AgentLink enables these agents to exchange information and coordinate actions in real time, thereby making faster and more accurate decisions.


AgentHub provides developers with a convenient AI Agent management tool that supports logging in via Twitter, GitHub accounts, email, or encrypted wallets. After logging in, developers can directly import AI Agents created by AgentStudio in AgentHub and register on-chain to activate their functions, including creating smart wallets, minting NFTs as unique identifiers on the chain, and signing messages to verify the identity of the Agent. In addition, AgentHub also supports deploying Agents as Telegram robots, allowing users to interact with Agents in Telegram through simple configuration for a seamless conversation experience. Developers can easily use AgentHub to manage the entire life cycle of AI Agents, and use AgentStudio's visual tools to quickly build complex conversational AI Agents.


AgentStudio is a one-stop development platform we provide for developers, with the goal of making the creation and deployment of AI Agents as easy as building blocks. It supports the access of multiple language models, provides rich APIs and tools, and supports the creation of complex workflows, including interaction with models, API calls, RAG (retrieval enhancement generation) and other functions.


These three core components work together to form a complete ecosystem. Take the development of an intelligent investment advisor AI Agent as an example: developers can use AgentStudio to quickly build the logic and interface of the agent, access various financial data sources and analysis tools, and then collaborate with other professional AI Agents (such as risk assessment agents, market trend analysis agents, etc.) through AgentLink. Ultimately, this intelligent investment advisor can provide users with comprehensive and accurate investment advice, and the entire process is carried out in the AgentHub decentralized environment, ensuring data security and decision transparency.


This modular collaborative design not only improves the flexibility and scalability of the system, but also greatly reduces the threshold for developing and using AI Agents. We believe that this will promote the widespread application of AI Agent technology in all walks of life and realize our vision of making AI available to everyone.


BlockBeats: How does AgentHub help developers improve their work efficiency and results? What are the specific strategies and partner plans for the construction of AgentHub's ecosystem in the future? What is the core competitive advantage of AgentHub?


Professor Liu Yang: AgentHub is a one-stop service platform we built for developers. It plays a key role in improving development efficiency. I often compare AgentHub to an intelligent workbench, which integrates various tools and resources required for the development, deployment, and management of AI Agents.


Specifically, AgentHub helps developers improve efficiency in several aspects: First, it provides an intuitive visual interface that allows developers to quickly and conveniently manage their AI Agents. Whether importing a new Agent or modifying the properties of an existing Agent, it can be done with simple operations. This greatly reduces the time developers spend on tedious configuration and management work.


Second, AgentHub simplifies the process of Agent on-chain. In the traditional development process, deploying AI Agents to the blockchain often requires writing complex smart contracts and considering the characteristics of different chains. But on AgentHub, this process is greatly simplified. Developers only need a few clicks to complete the release of Agents on the chain, which not only saves time but also reduces the risk of errors.


Another important feature is that AgentHub supports the rapid release of Agents as Telegram Bots. This feature greatly expands the application scenarios and user base of AI Agents. Developers can easily promote their Agents to Telegram, a platform with hundreds of millions of users, without additional development work.


Regarding ecosystem construction, we are working with several excellent development teams, such as Web3 vertical AI search engine 0xAgent and Troy Network. These collaborations not only enrich the functions of AgentHub, but also provide developers with more resources and tools. In the future, we plan to integrate the Market platform in AgentHub as an important channel for developers to display and promote Agents. We hope to help excellent AI Agents find users faster while creating more profit opportunities for developers.


The core competitive advantage of AgentHub lies in its integration and ease of use. On one platform, developers can complete the full process management from development, deployment to operation. This level of integration is rare in the industry. At the same time, we deeply understand the needs of AI developers, and every function of AgentHub is designed to solve practical pain points.


Finally, another important advantage of AgentHub is its deep integration with the entire AgentLayer ecosystem. This means that developers can not only enjoy the convenience of AgentHub itself, but also seamlessly access the various powerful functions and resources provided by AgentLayer. This ecological synergy is difficult to match with other single tools.


BlockBeats: Can you give us a detailed introduction to the technical architecture and optimization strategies for accessing multiple language models supported by AgentStudio? Can you share some best practices for workflow design for creating complex agents in AgentStudio? Faced with the specific needs of different industries and application scenarios for AI Agents, how does AgentStudio customize and optimize?


Professor Liu Yang:AgentStudio's design philosophy is "equal emphasis on flexibility and ease of use." We are well aware that AI technology is developing rapidly and new language models are emerging in an endless stream, so we pay special attention to scalability.


In terms of technical architecture, AgentStudio adopts a model abstraction layer design. This abstraction layer is like a universal interface, compatible with various large language model APIs. We can quickly access new models by designing flexible adapters. If a revolutionary new model appears tomorrow, we only need to develop a new adapter for it and it can be seamlessly integrated into AgentStudio. This flexibility allows the platform to always stay at the forefront of technology.


We provide powerful and intuitive tools for creating workflows for complex agents. In the workflow, developers can not only interact with the model, but also make API calls, use RAG technology, and even set simple logical branches. For more complex requirements, we support the use of JavaScript or Python to further process workflow data.


For example, suppose you want to create an intelligent customer service agent. You can design a workflow that first uses RAG technology to retrieve relevant information from the knowledge base, then calls the language model to generate a reply, then queries the order status through API calls, and finally sets different reply strategies according to different situations. This entire process can be completed in AgentStudio in a visual way.


AgentStudio provides high customizability to meet the specific needs of different industries and application scenarios. We understand that each industry has unique needs and challenges. Therefore, we not only provide a wealth of preset templates and components, but also allow developers to customize almost every link.


For example, the financial industry may require stricter data security measures and more complex decision logic. AgentStudio allows developers to integrate specialized financial models, set up multiple verification processes, and even access real-time market data feeds. The education industry may place more emphasis on personalization and interactivity, so more flexible dialogue processes and richer multimedia interactions can be designed.


AgentStudio aims to be an all-around AI Agent development platform. Experienced developers and newcomers to the AI field can find tools and resources that suit them and easily create powerful and adaptable AI Agents. By continuously optimizing and expanding functions, we hope to pave the way for the widespread application of AI Agents and promote the intelligent transformation of all industries.


BlockBeats: What technical and business challenges did you encounter in the process of integrating off-chain services with on-chain operations in the AgentOS layer, and how were they resolved? What tools and mechanisms does AgentOS provide to promote collaboration and knowledge sharing among different developers and industry experts?


Professor Liu Yang:We did face a lot of challenges in implementing this key component of AgentOS. The first is the problem of data consistency. The synchronization of off-chain services and on-chain states is a tricky problem. To solve this problem, we designed an anchoring mechanism to bind off-chain services, AI Agents, and large language models to on-chain protocols to form a contract framework. This not only ensures data consistency, but also provides guarantees for service ownership and rights confirmation.


Scalability and flexibility are also a big challenge. AI technology is developing rapidly, and we need a system that can adapt to changes quickly. To this end, we adopted a core-periphery architecture. The core part remains stable, while the peripheral functions can be flexibly modified and expanded, which ensures the stability of the system without losing flexibility.


Security and privacy protection are also important issues we face. We have taken a series of measures, including encrypted communication, strict access control and comprehensive audit tracking. Especially when dealing with sensitive data, we have also introduced advanced technologies such as differential privacy to protect privacy without affecting the validity of data.


Cross-chain interoperability is also a technical difficulty. In order to achieve seamless collaboration between different blockchains, we have developed a set of standardized cross-chain protocols. This allows AI Agents deployed on different chains to interact smoothly across chains.


In terms of promoting developer collaboration, in addition to the above-mentioned AgentStudio and AgentHub, AgentOS also provides a variety of tools and mechanisms:


First, we provide a series of basic models, such as Mistral, Llama and our self-developed TrustLLM. These models can be directly used for fine-tuning, greatly reducing the development threshold.


Secondly, we have developed a complete development kit and orchestration tools. These tools not only simplify the deployment and management process of AI Agent, but also provide rich APIs and SDKs to facilitate developers to carry out secondary development and customization.


We have also established a distributed service registration system. Developers can register their own services in this system, and other developers can easily discover and use these services. This greatly promotes resource sharing and collaboration within the ecosystem.


In addition, our smart contract framework adopts a modular design, and developers can quickly build new functions based on existing modules. This not only improves development efficiency, but also promotes the dissemination of best practices.


Finally, we are building a community-driven knowledge base and discussion forum. Developers can share experiences, discuss issues, and even collaborate on new projects here. We believe that this open and collaborative atmosphere will greatly promote the development of the entire ecosystem.


In general, AgentOS is not only a technical platform, but also an ecosystem that promotes collaboration and innovation. We are working hard to create an environment where every participant can find resources, partners, and opportunities to jointly promote the development of AI technology.


BlockBeats: AgentLayer SDK is the underlying development tool of AgentLayer. Can you give us a detailed introduction to the main features of the SDK and how it simplifies the development process of AI Agents?


Professor Liu Yang:AgentLayer SDK is our core tool for developers, designed to simplify the interaction between AI Agents and blockchain. The main functions of this SDK revolve around the AgentLink protocol, focusing on supporting key scenarios such as Agent calls, Agent collaboration, and Agent payments.


Specifically, the SDK provides a set of concise APIs that enable developers to easily deploy AI Agents on blockchain networks. It supports the rapid creation of Agent instances, the definition of basic information and processing protocols, and can interact with smart contracts, process transactions, access on-chain data, etc. It is worth mentioning that our SDK supports multi-chain deployment and can seamlessly connect to various EVM-compatible chains, which greatly enhances the flexibility and scope of application of Agents.


A major highlight of the SDK is that it simplifies the development process of AI Agents. For example, suppose you create an AI Agent in AgentStudio and now want to publish it on the blockchain and implement charging functions. Traditionally, this may require complex blockchain programming knowledge. With our SDK, you can complete the deployment with just a few lines of code and easily set up the payment mechanism through integration with AgentHub. This process may be shortened from several days of work to a few hours.


It should be emphasized that the AgentLayer SDK focuses mainly on the blockchain interaction part and does not directly provide an AI model interface. The access and management of AI models are mainly achieved through AgentStudio. The SDK plays a key role in the entire AgentLayer ecosystem. It works closely with other components such as AgentStudio and AgentHub to build a complete AI Agent development and deployment environment.


Ecosystem Construction: Building a Decentralized AI Agent Collaboration Platform


BlockBeats: As a Web3 vertical AI search engine in the AgentLayer ecosystem, what is its innovation? How to collaborate with other AgentLayer ecosystem projects?


Professor Liu Yang:0xAgent is indeed a very interesting and innovative project in our ecosystem. Its innovation is mainly reflected in two aspects: real-time data visualization and in-depth coverage of MEME coin ecosystem data.


In terms of real-time data visualization, 0xAgent can generate charts in real time, transforming complex blockchain data into intuitive and easy-to-understand visual presentations. This is crucial for quickly understanding market trends and project performance. Especially in areas such as Web3 where information changes rapidly, this real-time visualization capability can help users make decisions faster.


Another important innovation is its in-depth coverage of the MEME coin ecosystem. We know that MEME coins occupy an important position in the crypto market, but traditional analytical tools often have difficulty capturing this highly active and fast-changing field. 0xAgent uses advanced AI technology to not only track the market dynamics of MEME coins in real time, but also analyze sentiment changes on social media to provide users with a full range of insights.


In terms of collaboration with the AgentLayer ecosystem, 0xAgent plays the role of a data provider and an analytical tool. For example, other AI Agents can call 0xAgent's API to obtain the latest market data or analysis results. This collaboration not only improves the data quality of the entire ecosystem, but also provides strong decision-making support for other projects.


In the future, we plan to further strengthen the integration of 0xAgent with other projects. For example, we may see intelligent investment advisors AI Agents use 0xAgent's data to optimize investment strategies, or see decentralized trading platforms use 0xAgent's real-time market analysis to adjust liquidity strategies.


BlockBeats: What are the strategic considerations behind AgentLayer's decision to launch Agent Tarot as a Telegram Mini App? What does this mean for AgentLayer's long-term development in the TON ecosystem?


Professor Liu Yang: The decision to launch Agent Tarot as a Telegram Mini App is indeed based on our well-thought-out strategic considerations. This is not just a product launch, but also an important part of AgentLayer's overall strategy.


First, Telegram has a huge user base, with nearly 900 million monthly active users, which provides us with a huge potential market. In particular, Telegram users are generally open to new technologies, which highly overlaps with our target user base.


Second, Telegram's Mini App ecosystem is booming. As an early entrant, we have the opportunity to establish a first-mover advantage on this fast-growing platform. The lightweight nature of Mini App is also very consistent with our philosophy of lowering the threshold for users to use.


Furthermore, Agent Tarot itself has a strong social attribute. Tarot reading often involves personal problem consultation. Promoting it on a social platform like Telegram can naturally trigger sharing and discussion among users, which helps the viral spread of the product.


TON (The Open Network) is Telegram's native blockchain network. Through the deployment of Agent Tarot on Telegram, we are actually paving the way for deeper integration into the TON ecosystem in the future. This not only allows us to get close to TON's technology and community, but also lays the foundation for our possible cross-chain cooperation and business expansion in the future. We believe that as the TON ecosystem continues to develop, our early layout on this platform will bring significant strategic advantages.


BlockBeats: AGIS is about to launch a security product for the TON ecosystem. Can you give us a detailed introduction to the features of this product and how it enhances the security of TON smart contracts?


Professor Liu Yang: AGIS is indeed another important strategic layout for us in the TON ecosystem. The core goal of this product is to provide a full range of smart contract security for the TON ecosystem.


The most notable feature of this product is that it supports FunC, which is a smart contract language unique to the TON chain. We know that different blockchain platforms use different contract languages, and there are relatively few security tools for FunC. Our product fills this gap and provides much-needed security support for TON developers.


Specifically, our product provides several key features: The first is automated vulnerability scanning. Using advanced AI algorithms, we can quickly identify potential security risks in contracts. This includes not only common vulnerability patterns, but also some complex issues that may be overlooked by manual audits.


Secondly, we provide intuitive results display and repair suggestions. We know that the discovery of security issues is only the first step, and how to effectively solve these problems is the key. Therefore, our product not only points out the problem, but also provides specific repair suggestions and even sample code.


Another important feature is continuous monitoring. The blockchain world changes rapidly, and new attack methods continue to emerge. Our product can continuously track the latest security threats and update detection rules in a timely manner to ensure that the contract maintains a high level of security throughout its life cycle.


To make this tool easier to adopt, we also provide a convenient scanning entry on the Telegram platform. Developers can submit their contract code for scanning directly in Telegram, which greatly reduces the threshold for use.


We believe that this product will significantly improve the overall security level of the TON ecosystem. By reducing security risks, we hope to enhance the confidence of developers and users in the TON platform, thereby promoting the healthy development of the entire ecosystem.


BlockBeats: As of August 5, AgentLayer's cooperation with Mantle has attracted more than 60,000 users. What do you think of the results of this cooperation and its significance to the development of the AgentLayer ecosystem?


Professor Liu Yang: The cooperation with Mantle has indeed achieved exciting results. The participation of more than 60,000 users far exceeded our initial expectations. This number is not just a simple quantitative indicator, but also reflects the acceptance of our products and concepts in the market.


The success of this cooperation is essentially the perfect match between product innovation and user needs. We cleverly integrate AI, blockchain and gamification elements to create a user experience that is both interesting and valuable. The generous reward pool is certainly attractive, but what really retains users is our unique product design and smooth user experience.


It is particularly worth mentioning that the rapid penetration of products such as Fortuna and Agent Tarot proves our unique insight in the field of AI+blockchain. This is not only a technical victory, but also an accurate grasp of user psychology. We have successfully transformed complex technology into an intuitive and attractive user experience, which is the core competitiveness of AgentLayer.


For the AgentLayer ecosystem, these 60,000 users are not just numbers, but also the seeds of future ecological prosperity. We will wholeheartedly serve these early adopters and make them the core driving force of the AgentLayer ecosystem. By continuously optimizing products and improving user incentive mechanisms, we are confident that we can transform these users into long-term ecological participants and contributors.


This cooperation also confirms an industry trend: the integration of AI and blockchain is becoming the core of the next wave of innovation. AgentLayer is standing at the forefront of this wave and leading the development of the industry. Our successful cooperation with Mantle has not only enhanced AgentLayer's brand influence, but also set an example of cross-chain cooperation for the entire industry.


BlockBeats: What is AgentLayer's future layout plan in public chain ecosystems such as TON and Mantle? Will you consider expanding to other public chains?


Professor Liu Yang: Our cross-chain layout strategy is one of the core of AgentLayer's future development. The successful attempts in the TON and Mantle ecosystems have given us great confidence and accumulated valuable experience for us. In the future, we will continue to deepen our layout in these two ecosystems, while also actively exploring opportunities in other public chains.


For the TON ecosystem, we will continue to deepen the application of Agent Tarot and plan to launch more AI Agent applications based on TON. We are optimistic about TON's advantages in the social field and will focus on exploring innovative scenarios that combine AI and social. At the same time, the AGIS security tool we are developing will also become an important layout for us in the TON ecosystem.


In the Mantle ecosystem, we will continue to deepen existing cooperation and may consider deploying more AgentLayer core functions to Mantle. We are also exploring how to use Mantle's technical features to optimize the performance of our AI Agent.


In addition, I can reveal that we are actively in dialogue with Base and BNB Chain. Both ecosystems have their own unique advantages and a large user base, and we believe that they both have the potential to become important partners of AgentLayer. Our criteria for selecting public chain partners mainly consider several aspects: technical compatibility, user base, ecological activity, and development potential. We hope that through these collaborations, we can not only expand the influence of AgentLayer, but also bring value to these ecosystems.


Security and Governance: Ensuring the Healthy Development of the Ecosystem


BlockBeats: How does AgentLayer ensure the security and reliability of AI Agents? What mechanisms are there to prevent AI Agents from being abused or misbehaving?


Professor Liu Yang: Ensuring the security and reliability of AI Agents is one of AgentLayer's top priorities. We are implementing a multi-layered security strategy to address this challenge.


First, we plan to leverage blockchain technology to enhance security. Our goal is to log the key interaction data of AI Agents on the chain, which will provide us with an immutable audit trail. This mechanism not only helps track potential malicious behavior, but also provides a reliable basis for resolving possible disputes.


Second, we are exploring the introduction of a developer staking mechanism. Under this mechanism, developers need to stake a certain amount of tokens to deploy their AI Agents. If the agent exhibits inappropriate behavior, the developer may face penalties. This economic incentive mechanism is designed to ensure that developers take security issues seriously, thereby reducing the risk of AI Agents being abused.


It should be emphasized that AgentLayer's work on AI Agent security is still ongoing, and many mechanisms are still in the planning and development stages. We will continue to optimize our security strategy and introduce the latest security technologies to cope with evolving threats. Our ultimate goal is to build an AI Agent ecosystem that users can fully trust.


BlockBeats: What role does APGN (AgentLayer Premium Governance Node) play in the AgentLayer ecosystem? What unique benefits does it bring to holders?


Professor Liu Yang: APGN is a core component of the AgentLayer ecosystem. It is not only an investment opportunity, but also an important way to participate in the governance of our network. As of now, we have more than 8,000 APGN holders, and this number continues to grow, which fully reflects the community's confidence in the future of AgentLayer.


APGN holders enjoy a number of unique benefits:


The first is governance rights. APGN holders can participate in major decisions of the network, such as protocol upgrades, parameter adjustments, etc. This gives community members the opportunity to directly shape the future of AgentLayer.


Secondly, APGN holders enjoy special benefits in our cooperative activities. For example, in the recent cooperation with Mantle, APGN holders enjoy 3 times the benefits. Specifically, on the Fortuna platform, they can get 3 lucky draw opportunities with one payment; in Tarot AI, one payment can get 9 conversation opportunities; in Mantlepedia, one payment can get 9 interaction opportunities. These privileges not only increase the practical value of APGN, but also strengthen the holders' sense of community belonging.


In addition, we offer some unique opportunities for APGN holders. AgentLayer’s staking feature for $AGENT tokens and APGN earnings provides investors with returns that are related to the amount staked, duration, and other factors. Before the Token Generation Event (TGE), APGN users can stake node earnings by following specific steps. After the TGE, only in-wallet token staking is supported. Rewards are distributed based on proportional weights, and we are committed to creating more value for APGN holders.


Finally, I would like to emphasize that APGN is an important link between the AgentLayer team, ordinary users, and developers. Through APGN, we hope to build a more active and engaged community to jointly promote the long-term development of AgentLayer.


BlockBeats: How does AgentLayer ensure the effectiveness of decentralized governance? What mechanisms are there to balance the needs of different stakeholders?


Professor Liu Yang:At AgentLayer, we have been thinking about how to truly achieve effective decentralized governance, because it is related to the health of the entire community and the long-term development of the project. Our approach is to ensure that the voices of different stakeholders are heard through a set of multi-level mechanisms, while maintaining efficient and fair governance.


First, we launched the veAGENT Token mechanism, the design concept of which is simple: to encourage long-term participation. Users can obtain veAGENT governance tokens by locking native $Agent tokens. The longer the lock-up period and the greater the number, the greater the voting weight. This approach ensures that members who have long-term confidence in AgentLayer and are willing to participate deeply in governance can have a greater voice in the decision-making process. We hope that governance is not just a game for a few people, but a deep and committed process.


Second, we pay great attention to the process of governance proposals. Any community member holding veAGENT can submit proposals, which will be discussed and voted on. If approved, there will be a delay before they are executed. This period of time is to allow the community enough time to reflect and review, to ensure that everyone has the opportunity to participate in the discussion, and to avoid hasty decisions.


Of course, we also need an emergency mechanism when dealing with emergencies. AgentLayer uses a multi-signature wallet mechanism, which is critical when dealing with security vulnerabilities or other emergencies. Multi-signature means that the approval of multiple core members of the community is required to perform important operations, so that we can respond quickly while avoiding excessive concentration of power.


In addition, our entire governance structure is based on the DAO framework. The idea of DAO is to allow every contributor and supporter to deeply participate in the decision-making process, which not only increases the transparency of governance, but also gives more talented people the opportunity to contribute their wisdom. In order to motivate these participants, we have also set up a community reward mechanism so that those who have made outstanding contributions to the development of the platform can be rewarded.


Finally, we also recognize that transparency is the cornerstone of decentralized governance. To this end, we plan to introduce community supervision agents to ensure that the governance process is open and transparent, and that decisions are fair and reasonable. We believe that only when everyone feels that the community is fair will they be willing to participate in the long term.


Through these mechanisms, we strive to find a balance between efficiency and decentralization to ensure that AgentLayer can continue to develop while maintaining a commitment to being responsible to the community. This is an evolving process, and we will continue to optimize the governance mechanism based on actual operation and community feedback.


Business Model and Future Outlook


BlockBeats: Can you exclusively reveal AgentLayer's TGE plan and the launch time of the staking service in this interview?


Professor Liu Yang:I am very happy to exclusively reveal here that AgentLayer's native token $AGENT is about to usher in an important milestone. We will officially launch $AGENT on major cryptocurrency exchanges including Gate.io, BingX, Uniswap and Aerodrome at 19:00 on September 18, Singapore time. This marks that $AGENT will provide trading opportunities for a wider group of investors, and also opens up more diversified financial application scenarios within the AgentLayer ecosystem. We look forward to this listing to allow more people to participate in the construction of the AgentLayer ecosystem and jointly promote the development of decentralized AI.


In fact, in order to create more value for community members, our staking service was launched on September 10. This is another key component of the AgentLayer ecosystem. By staking $AGENT tokens and APGN node income, participants can get rich returns. Our staking mechanism is very flexible, with a minimum staking amount of only 10 $AGENT, and users can choose a staking period of 1, 3 or 6 months. Staking income is related to multiple factors, including the number of $AGENT staked, the staking duration, and whether APGN node income is staked.


It is particularly worth mentioning that we have designed a unique dual-income mechanism for APGN holders. APGN nodes can not only continue to receive regular $AGENT rewards, but also enjoy additional staking income. This mechanism is designed to encourage long-term holding and deep participation, providing a solid foundation for the sustainable development of AgentLayer.


BlockBeats: What is AgentLayer's business model? How can the project achieve long-term sustainable development?


Professor Liu Yang: AgentLayer's business model is mainly built around our native token $AGENT and the services of the entire ecosystem. Simply put, our goal is to achieve real value creation by building an open AI Agent ecosystem that benefits developers, users, and the network itself.


First, we generate revenue through some core services within the network. For example, AgentLayer will operate some public services, such as security, risk management, etc., and the profits generated by these services will be reinvested into the protocol for the long-term development and maintenance of the project. We hope to ensure that the network's infrastructure can continue to optimize and develop in this way.


In addition, we have a very important source of income from the sale of AI Agents. Developers can sell the AI Agents they created on our AgentStore, and AgentLayer will charge a portion of the fees for each transaction. This model not only encourages developers to innovate on our platform, but also brings us a stable income stream.


We also make money through transaction fees. Our network provides efficient and low-cost transaction processing capabilities. Users will pay a certain fee when using these services, which will become another source of income for us.


In order to achieve long-term sustainable development, we have adopted several key strategies. The first is the economic incentive mechanism around the $AGENT token, which is not only a means of payment, but also a governance token. In this way, we hope to encourage community participation and activity, so that every holder can participate in the decision-making of the network.


Second, we value the power of the community. We encourage community members to actively participate in the review and governance of AI Agent assets and provide valuable feedback. This community-driven model is conducive to the healthy development of the ecosystem.


Finally, we designed a "flywheel mechanism" to attract more developers and creators to join the AgentLayer platform, and realize the platform's self-growth and value creation by providing decentralized autonomous AI services.


BlockBeats: What advice do you have for developers who want to join the AgentLayer ecosystem? How can they make full use of AgentLayer's technology and resources?


Professor Liu Yang: For developers who want to join the AgentLayer ecosystem, my advice is: start by getting familiar with our tools and platform, and make full use of the technology and resources we provide to quickly start your project. AgentStudio is a very powerful platform that can help you easily create and deploy AI Agents. It provides a one-stop development environment that supports the access of multiple language models and diverse workflow designs. With AgentStudio, developers can quickly turn ideas into reality without worrying about complex underlying technologies.


At the same time, our AgentHub is a very useful tool. It is like a control center that not only helps you manage and monitor your AI Agents, but also quickly publishes them as Telegram Bots to expand user coverage. For new developers, using these features of AgentHub can bring your work to market faster and get user feedback.


In addition, I recommend developers to participate in our community activities. AgentLayer has a very active and supportive community, from which you can get valuable advice and resources, and even find potential partners. The community is the core of our ecosystem, and we believe that only in an open and mutually supportive environment can innovation continue to emerge.


BlockBeats: Looking ahead to the next 5-10 years, how do you think AgentLayer will change the landscape of the AI and blockchain industries? What do you think is the biggest challenge in realizing this vision?


Professor Liu Yang: In the next 5 to 10 years, I believe AgentLayer has the opportunity to make some truly meaningful changes at the intersection of AI and blockchain. We are promoting a decentralized AI ecosystem that will make AI no longer an exclusive technology for a few large companies, but a tool that everyone can participate in creating and using. Our goal is to make the creation and deployment of AI as open and flexible as open source software, which can greatly reduce the entry barrier and give more individuals and small and medium-sized organizations the opportunity to use AI technology.


We also hope to inspire a new AI economy through decentralization. We are not just building technology, but promoting a fairer and open AI market around $AGENT tokens and economic incentives. Here, developers can get reasonable rewards for their creative contributions, and users can also benefit from it. This two-way incentive mechanism will change the current AI development model and form a more dynamic and inclusive ecosystem.


The future of multimodal AI is also an area we are very concerned about. Simply put, it allows users to interact with AI through simple natural language without professional programming knowledge. The maturity of this technology will truly turn AI from a "black box" into a tool that everyone can understand and use, and we believe that AgentLayer can play a big role in this regard.


Of course, the support of blockchain technology is indispensable behind all this. The security, transparency and decentralization provided by blockchain are very helpful for the development of AI applications. We combine blockchain with AI, which can not only make AI more credible, but also protect the privacy and security of user data.


As for challenges, I think there are several aspects. The first is the issue of technological maturity. Decentralized AI is a very new field, and many underlying technologies are still being developed and optimized. We need to ensure that these technologies are mature enough to support large-scale application scenarios and transaction needs. Secondly, community building is also a challenge. Decentralized projects cannot be separated from the support and participation of the community. How to attract enough developers and users, and how to keep them active and engaged, all require us to spend a lot of time to operate and motivate.


Another point is compliance and regulation. The combination of AI and blockchain has raised many new legal and ethical issues, especially under the legal frameworks around the world. How to ensure compliance and legal operations is also a challenge we must face. Finally, there is security. As our systems become more and more complex, how to ensure security and how to prevent potential attacks is a never-ending job that requires continuous investment.


In general, AgentLayer's vision is to create a decentralized, open and sustainable AI ecosystem. We know that the road ahead is not easy, but we are also very confident that through continuous innovation and the power of the community, we will definitely change the landscape of the AI and blockchain industries in the future.


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