Autonomous AI Agent Network For the World

Many people have expressed a desire for democratic governance of systemically-important AIs that we will depend on; cryptographic and blockchain-based techniques could be a path toward doing that.

Vitalik Buterin

Co-founder of Ethereum

There's one type of buyer that could be very important here: AI agents. [They're] going to start doing a lot of things in our economy and for AI agents to coordinate with incentive systems they're probably going to use crypto.These AI agents "might use" bitcoin, ethereum, XRP or solana. They're all coordinated.

Joe Lonsdale

Co-founder of Palantir @ CNBC Interview

Understanding AgentLayer

AgentLayer is an innovative project that aims to create a decentralized, permissionless, secure and reliable network for autonomous AI agents to collaborate and coordinate. AgentLayer leverages the power of generative AI driven by large language models (LLMs) to enable AI agents to make decisions and complete tasks autonomously with minimal human intervention. AgentLayer envisions a network of vertical and personalized AI agents that can transform various industries and professions, turbo-charge human’s creative potential and productivity, and make artificial intelligence friends instead of foes to humanity. AgentLayer also proposes a new AI currency to boost a promising AI-powered Agent Economy on top of blockchain.


The $AGENT token serves as the core of the AgentLayer economic model and finds wide applications in various scenarios such as online transactions, node incentives, Agent transactions and purchases, governance, user incentives, liquidity mining, and staking. It incentivizes and coordinates the participation of developers, node operators, end-users, and other stakeholders in the ecosystem, facilitating the circulation of network value and maintaining ecological balance. This ensures the healthy development and long-term sustainability of the ecosystem. Additionally, $AGENT tokens grant holders governance rights, allowing them to participate in platform decision-making and fund allocation, thereby enhancing transparency and fairness. Through these mechanisms and use cases, AgentLayer has successfully built a thriving and active AI Agent ecosystem.


Network Node


Network Agent Services

Investment & Trading

Agent Store, Agent Key

Join the Community

Earn points today and get ready for the upcoming airdrop


Be Part of AgentLayer

AgentLayer is a decentralized AI Agent collaboration network, offering TrustLLM, an open-source large language model, and a platform for personalized AI Agents. Its goal is to unlock the potential of decentralized AI, enhance developer earnings, and provide an AI-native experience.


Developing & Deploying

Core developers can build AI Agents on AgentOS and deploy them on the AgentNetwork, leveraging leading models and frameworks for high-performance and security.


Agent Store

Developers can also sell Agents or offer subscriptions, using $AGENT tokens as payment, to earn rewards for their work.


Agent Cooperation Pool

Encourages collaboration by rewarding developers when their Agents are integrated in Humanoid Ai's orchestration.

Network Notes & Validation

Network Notes & Validation

Developers contribute to network stability and data security by participating in node construction and validation.

Governance & Decision-making

Governance & Decision-making

veAGENT token holders participate in project governance, shaping AgentLayer's direction through voting and proposals.

Powered by AgentLayer

Many apps and agent services are already online, and many more are in development. Here are some of the services that are powered by AgentLayer.



A groundbreaking AI Agent that combines the power of GPT with static analysis to detect logic vulnerabilities in smart contracts

Crypto Guardian AI


An Autonomous AI that monitors on-chain transactions for suspicious activity and alerts users to potential threats.

Wallet Checker AI

Wallet Checker AI

A security-focused AI that scans wallets for vulnerabilities and provides recommendations for improving security.

Insights & Resources


What is the technical architecture and core technology stack of AgentLayer?

The technical architecture of AgentLayer is modular, consisting of the AgentNetwork, AgentOS, and AgentEx layers. The AgentNetwork layer provides the execution environment for AI agents, while the AgentOS layer includes development tools and services for multiple agents. The AgentEx layer serves as the gateway for users to discover and invest in AI agents. The core technology stack includes Ethereum layer-2 solutions, container engines for isolated execution environments, and SDKs for developer interaction with the network. This architecture is designed to enhance functionality, streamline the implementation process, and ensure the system's reliability and scalability.

How to contact the AgentLayer team for technical support or to discuss business cooperation?

To contact the AgentLayer team for technical support or business cooperation, users can reach out through the contact information provided on the platform's official website. This typically includes a support ticket system, email addresses, or a contact form for general inquiries. For more direct engagement, the team may also be accessible through official social media channels or at industry events and conferences. The team is dedicated to providing prompt and effective support, ensuring that users and partners have the assistance they need to succeed with AgentLayer.

Is there interoperability between AgentLayer and other AI platforms?

AgentLayer is designed with interoperability in mind, aiming to work seamlessly with other AI platforms and services. The platform's open APIs and adherence to industry standards enable it to connect and exchange data with a variety of AI systems. This interoperability is crucial for creating a cohesive AI ecosystem where different platforms can complement each other, providing users with a more comprehensive and integrated AI experience. AgentLayer's commitment to open standards ensures that it can adapt to evolving technologies and remain a valuable component of the broader AI landscape.

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