The Rise of AI Agents in the Web3 World: From Concept to Implementation

Since the beginning of 2024, AI Agents have rapidly emerged in the Web3 field, with a large number of intelligent agent experimental projects surfacing. From the perspective of the entire AI industry chain, AI Agents not only play the role of interaction execution but also represent a form of intelligent product aimed at users. As a bridge between model capabilities and specific applications, they encapsulate underlying AI models into task-oriented and autonomous intelligent agents, directly performing tasks for users and generating actual economic activities.

AI Agent Protocol Stack Layer

The AI Agent protocol stack can be divided into three main levels:

1. Infrastructure Layer: Provides underlying operational support for agents, including core modules such as Agent Framework, Agent OS, and supporting modules like Agent DID, Agent Wallet.

2. Coordination and Scheduling Layer: Focus on multi-agent collaboration, task scheduling, and incentive mechanisms, including Agent Orchestration, Agent Swarm, and Agent Incentive Layer.

3. Application Layer: Includes distribution subclasses ( such as Agent Launchpad ), application subclasses ( such as AgentFi ), and consumption subclasses ( such as Agent Social ), etc.

AgentFi: A Practical and Valuable Implementation Direction

AgentFi is considered the current most promising direction to achieve a balance between "engineering feasibility + business availability." The main areas of implementation include:

1. Lending: Automated interest rate arbitrage and cross-protocol capital scheduling
2. Trading Category: Intent-based Automated Execution
3. Liquidity Mining/LP Management: Automated Execution of Centralized LP Strategies

Among them, LP management is the direction with the highest technical barrier, requiring real-time responses to market changes and on-chain operations, with significantly complex engineering.

Theoriq: The Evolution of Liquidity Management for Agent Swarm

Theoriq aims to achieve an agent economy by coordinating a cluster of AI agents, with its flagship product Alphaswarm focusing on on-chain liquidity management and yield optimization. The Theoriq Alpha Protocol has created a communication and execution protocol stack for Agent collaboration, including message coordination mechanisms, Agent public registration systems, and more.

Alphaswarm consists of three types of core agents, forming a complete closed loop of task discovery, data analysis, strategy generation, and on-chain execution. In the future, it will expand to more asset management scenarios, creating an Agent Swarm with "superhuman-level" understanding and execution capabilities.

Theoriq Ecosystem Cooperation and Community Development

Theoriq is collaborating with several top technology companies and Web3 infrastructure projects to build an ecological network that encompasses AI infrastructure, data collaboration, and computing power acceleration. At the same time, it is actively expanding community influence through initiatives such as the "Infinity Swarm" ambassador program.

Token Economic Model and Governance Mechanism

The $THQ token of Theoriq is positioned as the core "fuel" of the agent network, running through protocol access, execution permissions, and other aspects. The total supply is 1 billion tokens, allocated to core contributors, investment institutions, community incentives, and the treasury.

$THQ holders can participate in the network and earn rewards through staking, locking, and other methods. Additionally, a delegation mechanism has been designed, allowing users to delegate tokens to agents, share profits, and bear risks.

Project Financing and Team Background

Theoriq has completed two rounds of financing, totaling over 10 million USD. The team consists of AI experts and blockchain engineers from companies such as Google and ConsenSys, with a strong background in artificial intelligence, product engineering, and other fields.

Competitive Landscape of the Agent Market

Theoriq faces relatively few direct competitors in the niche of AgentFi+DeFi liquidity management. Unlike the general-purpose Agent network ( like Olas ), Theoriq clearly focuses on DeFi scenarios, creating a complete collaborative closed loop. It has certain advantages in terms of engineering implementation difficulty and commercial landing value.

Summary

Theoriq represents a key path for AgentFi from concept to practicality, focusing on the core pain points of DeFi and having a clear commercial application prospect. Its engineering implementation is challenging, but once突破, it will create a high barrier to entry. As one of the few projects that possess both "engineering feasibility" and "commercial usability", Theoriq is expected to become an important player in AgentFi's long-term infrastructure.