The Rise of AI Agents in the Web3 World

Since 2024, AI Agents have rapidly emerged in the Web3 field, with a large number of experiments surrounding intelligent agents taking place. From the perspective of the entire AI value chain, AI Agents not only play the role of "interaction and execution layer" but also represent a form of intelligent product oriented towards users. As an intermediary bridge between model capabilities and specific business applications, it encapsulates underlying AI models into intelligent agents with task-oriented and autonomous abilities, directly serving users to autonomously execute tasks and generate real economic activities.

AI Agent Protocol Stack Layer

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

1. Infrastructure Layer: Provides the lowest-level operational support for agents, including core modules such as Agent Framework, Agent OS, and support modules like Agent DID, Agent Wallet & Abstraction.

2. Coordination and Scheduling Layer: Focus on the collaboration among multiple agents, task scheduling, and system incentive mechanisms, including Agent Orchestration, Agent Swarm, and Agent Incentive Layer.

3. Application Layer: Covers subclasses such as distribution, applications, and consumption, including Agent Launchpad, AgentFi, Agent Native DApp, etc.

AgentFi: Directions for Practical Engineering Feasibility and Verifiable Value

AgentFi may be the most promising evolutionary direction at this stage to achieve a balance of "engineering feasibility + business usability." Currently, it mainly focuses on the following sectors:

1. Lending category: automated interest rate arbitrage and cross-protocol capital allocation.

2. Trading category: Intent-based automated execution, such as cross-platform arbitrage, trend following, etc.

3. Liquidity Mining/LP Management: Automated execution of centralized LP strategies, intelligent rebalancing under volatility awareness, etc.

Theoriq: The Evolution of Liquidity Management in Agent Swarm

Theoriq aims to create a system that achieves an agent economy through the coordination of AI agent clusters, with on-chain liquidity management and yield optimization being important application scenarios. Its flagship product Alphaswarm has chosen liquidity management, which has the highest technical threshold, as its entry point.

Theoriq Alpha Protocol is a communication and execution protocol stack designed for Agent collaboration, featuring the following core characteristics:

• Messaging and Coordination Mechanism
• Agent Public Registration System
• Configurable Agent Template
• Developer Integration Tools
• AlphaStudio User Terminal

Alphaswarm is the first flagship multi-agent system built on Theoriq Alpha Protocol, composed of three core agents: Portal Agent, Knowledge Agent, and LP Assistant Agent, forming a complete closed-loop process of task discovery - data analysis - strategy generation - on-chain execution.

Theoriq Ecosystem Cooperation and Community Development

Theoriq is building a multi-dimensional ecological network that encompasses AI infrastructure, data collaboration, computing power acceleration, and community co-construction, having reached partnerships with several top tech companies and Web3 infrastructure projects. At the community level, it has launched the "Infinity Swarm" global ambassador program and enhances community engagement through various activities.

Token Economic Model and Governance Security Mechanism

The token $THQ of Theoriq is positioned as the core "fuel" of a decentralized agent network, with a fixed total supply of 1 billion tokens. Token holders can participate in the network and earn incentives in various ways, including protocol access fees, staking rewards, delegation mechanisms, and more. $THQ plays the role of "agent permission scheduler" throughout the ecosystem.

Project Financing and Team Background

The development team behind Theoriq, ChainML, has completed two rounds of financing. The team consists of AI experts and blockchain engineers from tech and financial giants such as Google and ConsenSys, with a strong background in artificial intelligence, product engineering, protocol design, and financial systems.

Competitive Landscape of the Agent Market

Theoriq has unique advantages in the niche area of AgentFi+DeFi liquidity management, with high technical barriers and strong engineering complexity. Unlike general-purpose Agent networks and Agent Frameworks, Theoriq focuses on creating a profitable financial intelligent Agent network.

Summary

Theoriq represents a key path for AgentFi from concept to practicality, with a solid foundation of real-world demand and a clear commercial application pathway. Its engineering implementation is challenging but feasible and valuable. As the market gradually shifts towards a trend of "engineering realization" and competition in "scene value", Theoriq has the potential to become a benchmark project for AgentFi's long-term infrastructure.