The Rapid Rise of AI Agents in Web3

Since 2024, AI Agents have rapidly emerged in the Web3 world, with numerous experiments surrounding these agents on the rise. From the perspective of the entire AI value chain, AI Agents not only play the role of an "interaction and execution layer" like an interface but also represent a user-oriented intelligent product form. Acting as a bridge between model capabilities and specific business applications, it encapsulates underlying AI models into agents with task-oriented and autonomous capabilities, directly serving users to execute tasks independently and generate real economic activities.

AI Agent Protocol Stack Level

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

1. Infrastructure Layer: Provides the fundamental operational support for agents and serves as the technical foundation for all Agent systems.

   • Core Module: Includes Agent Framework and Agent OS, providing core capabilities for the lifecycle management of Agents.
   • Supported modules: such as Agent DID, Agent Wallet & Abstraction, Agent Payment/Settlement.

2. Coordination and Scheduling Layer: Focus on the collaboration between multiple agents, task scheduling, and system incentive mechanisms, which are key to building the "collective intelligence" of agent systems.

   • Agent Orchestration: Unified scheduling and management of Agent lifecycle, task allocation, and execution process.
   • Agent Swarm: emphasizes the collaboration of distributed intelligent agents, possessing high autonomy, division of labor capabilities, and flexible cooperation.
   • Agent Incentive Layer: Build an economic incentive system for the Agent network.

3. Application Layer:

   • Distribution subcategories: including Agent Launchpad, Agent Marketplace, and Agent Plugin Network, etc.
   • Application Subclasses: Covering AgentFi, Agent Native DApp, Agent-as-a-Service, etc.
   • Consumption Subcategory: Mainly Agent Social / Consumer Agent, aimed at consumers/light scenarios such as entertainment/social.
   • Meme: Using the concept of Agent for speculation, usually lacking actual technical implementation and application landing.

AgentFi: A Practical and Value-Proven Direction for Implementation

At the beginning of 2024, the platform-based Agent project focused on "coordinated scheduling + incentive mechanism" first attracted attention. However, by the end of 2024, it was the Agent Launchpad projects represented by Virtual Protocol, along with a large number of AI Agent Meme token projects, that truly ignited industry enthusiasm.

In contrast, the long-term value of platform or framework-type Agent projects depends on whether they can build a "closed-loop intelligent collaborative network" around real business scenarios. As the industry gradually shifts from narrative to practicality, AI teams that possess engineering implementation capabilities and can deliver real value will become key drivers. AgentFi may be the most promising evolutionary direction at this stage for achieving a balance between "engineering feasibility + business usability."

From the perspective of the current on-chain asset structure and the degree of automation of Agents, the actual implementation direction of AgentFi mainly focuses on the following sectors:

1. Lending Agent (: Focused on automated interest rate arbitrage and cross-protocol capital scheduling, helping users optimize lending and borrowing returns across multiple lending markets.

2. Trading Category ) Trading Agent (: Focuses more on "intent-based automated execution" rather than "smart profit", with product logic leaning towards "trading assistant Copilot".

3. Liquidity Mining/LP Management )Liquidity Agent(: Focused on automated execution of centralized LP strategies such as Uniswap V3, and intelligent rebalancing under volatility awareness. This direction has the greatest technical challenges, but the strongest long-term potential and innovation space.

Theoriq: The Evolution of Liquidity Management for Agent Swarm

Theoriq aims to achieve an agent economy by coordinating a cluster of AI agents )Agent Swarm(, with on-chain liquidity management and yield optimization being one of its important application scenarios. The flagship product of Theoriq, Alphaswarm, has chosen liquidity management, which has the highest technical threshold in AgentFi, as its entry point.

) Theoriq Alpha Protocol and AlphaSwarm officially launch on the mainnet journey.

On May 29, 2025, Theoriq officially released the roadmap for its mainnet launch, renaming Theoriq Protocol to Theoriq Alpha, while also announcing the first flagship application on Theoriq Alpha, AlphaSwarm, aimed at better reflecting its positioning in the "Agentic Economy" and the core of multi-agent collaboration, with the mainnet scheduled to launch in July 2025.

Theoriq Alpha Protocol: A communication and execution protocol stack designed for Agent collaboration

Theoriq Alpha Protocol is a decentralized protocol launched by Theoriq, designed to support multi-agent collaboration on-chain, execute complex financial tasks, and optimize liquidity. Its core features include:

• Messaging and Coordination Mechanism: Supports communication between agents with secure authentication and between users and agents.
• Agent Public Registration System: All Agents will have a permanent on-chain ID and off-chain metadata.
• Configurable Agent Template: Provides no-code parameter settings and supports customized strategy logic.
• Developer Integration Tools: Provides a stateless REST API and official Python SDK.
• AlphaStudio User Terminal: Provides a one-stop Agent management and interaction platform.

Theoriq AlphaSwarm: The first tangible Swarm Agent system

AlphaSwarm is the first flagship multi-agent system built on Theoriq Alpha Protocol, consisting of three types of core agents:

• AlphaSwarm Portal Agent: Perceives the user's wallet status and acts as an entry coordinator.
• AlphaSwarm Knowledge Agent: Connect on-chain/off-chain data to generate precise insights and strategic judgments.
• AlphaSwarm LP Assistant Agent: Generates on-chain trading proposals based on set parameters, enabling automated liquidity management.

The three components together form a complete closed-loop process of task discovery - data analysis - strategy generation - on-chain execution, allowing users to complete asset allocation and dynamic adjustments without manual operation.

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Theoriq Ecological Cooperation and Community Development

Theoriq is building a multidimensional ecological network that encompasses AI infrastructure, data collaboration, computing power acceleration, and community co-construction, and has established deep cooperation with several top technology companies and Web3 infrastructure projects. At the data and computing level, Theoriq is working with multiple key infrastructure partners to build a modular capability network.

At the community level, Theoriq has launched the "Infinity Swarm" Global Ambassador Program, establishing multiple tiers for content creators and community builders, offering early access, USDC rewards, tickets to offline events, and limited-edition merchandise as incentives.

Theoriq Alpha has built an ecological flywheel mechanism driven by four core participants:

• AI Developers: including Agent builders, AI frameworks, data providers, and AI Infra teams.
• DeFi protocol parties: such as DEX, yield protocols, market makers, Intent protocols, and Vaults, etc.
• Token project party: A project party with financial reserves and a community foundation.
• Token holders: as the most direct stakeholders.

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Token Economic Model Design and Governance Security Mechanism

In July 2025, Theoriq officially announced its token economic model design, clearly positioning $THQ as the core "fuel" of the decentralized agent network. The total supply of $THQ is fixed at 1 billion tokens, with the token distribution structure as follows:

• 24% allocated to core contributors
• 30% allocated to investment institutions
• 18% for community incentives
• 28% injection into the treasury ) Treasury (

$THQ holders participate in the network to obtain diversified incentives.

• Protocol Access Fee
• Direct Incentives and Ecological Rewards
• Incentive and Delegation Mechanism for Intelligent Entities
• Treasury Management

Compared to other mainstream Crypto-AI projects, Theoriq's $THQ exhibits distinct structural differences, integrating "intelligent agent permission scheduler" that combines permission granting, revenue distribution, and behavioral accountability.

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Project Financing and Team Background

The development team behind Theoriq, ChainML, has completed two rounds of financing: in September 2022, it raised $4 million in a seed round led by IOSG Ventures; in May 2024, it completed a $6.2 million extension round led by Hack VC.

The Theoriq team is composed of AI experts and blockchain engineers from tech and financial giants such as Google, ConsenSys, Goldman Sachs, and Dell, dedicated to building a decentralized intelligent agent collaboration network.

Competitive Landscape of the Agent Market

Theoriq is a multi-agent collaboration hub specifically designed for DeFi scenarios, focusing on how agents collaborate to execute real asset management tasks. Unlike general-purpose agent networks like Olas and Talus, Theoriq clearly focuses on on-chain application scenarios that are capital-intensive and have frequent interactions in DeFi.

Virtual Protocol is committed to building the "Trusted Business Transaction Protocol between Agents" )ACP(, promoting the standardization of Agent's autonomous order placement, fulfillment, payment, and evaluation processes. Although both Virtual and Theoriq emphasize network collaboration among Agents, their focuses are different.

In the niche direction of AgentFi + DeFi liquidity management, there are not many competitors in the track where Theoriq Alpahswarm is located, as its core technology has a high threshold and the complexity of engineering implementation is strong.

Summary: Business Logic, Engineering Implementation, and Potential Risks

) Commercial Viability: Real and Practical Scenarios of the Intelligent Agent Economy

Theoriq clearly focuses on the core pain points of DeFi - liquidity management and automated asset operations, representing the key path for AgentFi from concept to practicality. This positioning not only has a solid foundation of real-world demand but also has a clear path for commercial application, becoming a representative of narrative implementation in the AgentFi track.

Engineering Feasibility: Highly challenging but achievable and worth doing

Theoriq has built a complete engineering system covering the Alpha Protocol and AlphaSwarm architecture, introducing LLM, reinforcement learning ### RL (, and on-chain real-time signal processing, promoting the evolution of the agent system towards strategic and adaptive development, forming the core of its long-term competitiveness.

As the market gradually shifts from being "narrative-driven" to competing in "engineering realization" and "scenario value," Theoriq is one of the few projects that possesses both "engineering realizability" and "commercial usability." With solid underlying capabilities, clear scenario fit, and a strong adaptation to the DeFi market foundation, it has the potential to become a long-term infrastructure asset for AgentFi.

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