An Introduction to Theoriq: The Practice of Multi-Agent Collaboration in the Decentralized Finance Field

Since 2024, AI Agents have rapidly emerged in the Web3 world, with numerous experiments surrounding these agents underway. From a full-chain perspective, AI Agents not only play the role of "interaction and execution layer" but also represent a user-facing intelligent product form. As a bridge between model capabilities and specific business applications, they encapsulate underlying AI models into task-oriented and autonomous intelligent agents, directly serving users to autonomously execute tasks and generate real economic activities.

1. AI Agent Protocol Stack Levels

In the entire AI Agent protocol stack, it can be divided into three main levels:

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

   • Core Module: includes Agent Framework and Agent OS
   • 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.

   • Agent Orchestration: Unified scheduling and management of Agent lifecycle
   • Agent Swarm: Distributed Intelligent Agent Collaboration
   • Agent Incentive Layer: Build an economic incentive system

3. Application Layer:

   • Distribution Subcategories: Agent Launchpad, Agent Marketplace, etc.
   • Application Subcategories: AgentFi, Agent Native DApp, etc.
   • Consumption Subcategory: Agent Social / Consumer Agent
   • Meme: Projects speculated using the Agent concept

2. AgentFi: Feasible Engineering and Verifiable Value Implementation Direction

From the perspective of engineering feasibility and business availability, AgentFi may be the most promising evolutionary direction at this stage. It mainly focuses on the following sectors:

1. Lending: Automated interest rate arbitrage and cross-protocol capital allocation
2. Trading Category: Intent-based Automated Execution
3. Liquidity Mining/LP Management: Automated execution of centralized LP strategies, intelligent asset allocation, etc.

Among them, LP management is one of the directions with the highest technical threshold, requiring real-time responses to market changes and on-chain operations, with extremely high requirements for the capabilities of agents.

3. 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 being an important application scenario. Its flagship product Alphaswarm has chosen liquidity management, which has the highest technical threshold, as its entry point.

Theoriq Alpha Protocol is a decentralized protocol designed to support multi-agent collaboration on-chain and execute complex financial tasks. Core features include:

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

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

• AlphaSwarm Portal Agent: Perceives user wallet status, acts as an entry coordinator
• AlphaSwarm Knowledge Agent: Access data, generate insights and strategic judgments.
• AlphaSwarm LP Assistant Agent: Generate on-chain transaction proposals to achieve automated liquidity management.

The three constitute a complete closed-loop process of task discovery - data analysis - strategy generation - on-chain execution.

4. Theoriq Ecosystem Cooperation and Community Development

Theoriq is building a multidimensional ecological network that encompasses AI infrastructure, data collaboration, computing power acceleration, and community co-construction. Major collaborations include:

• The Google Cloud AI Startup Program and NVIDIA Inception Program provide cloud resources and GPU support.
• Kaito as an important community ecological partner
• Arrakis Finance and Keyrock provide treasury management and market-making strategy support, respectively.
• Aethir and Hyperbolic provide decentralized high-performance computing resources
• The Graph ensures that agents have precise market perception.
• Cookie.fun provides support for user intent and behavior data.

At the community level, Theoriq launched the "Infinity Swarm" global ambassador program, establishing multiple tiers and providing various incentives.

5. Token Economic Model Design and Governance Security Mechanism

The $THQ token of Theoriq is positioned as the core "fuel" of the decentralized agent network, spanning multiple key aspects such as protocol access, execution rights, economic incentives, and network security. The core driving mechanism includes three major steps:

1. The Alpha protocol provides on-chain action native infrastructure for AI agents.
2. AlphaSwarm drives the widespread application of the Alpha Protocol
3. Ensuring network security through rewards

The total supply of $THQ is 1 billion tokens, with the distribution structure as follows:

• 24% allocated to core contributors
• 30% allocated to investment institutions
• 18% for community incentives
• 28% injected into the treasury

$THQ holders can participate in the network and earn rewards in various ways:

• Protocol Access Fee
• Staking and Locking
• Smart Contract Delegation
• Treasury Management

6. Project Financing and Team Background

The development team behind Theoriq, ChainML, has completed two rounds of financing:

• In September 2022, raised $4 million in seed round funding.
• Completed a $6.2 million seed round expansion financing in May 2024

Core team members come from technology and financial giants such as Google, ConsenSys, Goldman Sachs, and Dell, with a strong background in artificial intelligence, product engineering, protocol design, and financial systems.

7. Competitive Landscape of the Agent Market

Theoriq has few direct competitors in the niche of AgentFi + DeFi liquidity management. Compared to other mainstream Crypto-AI projects, Theoriq's $THQ exhibits distinct structural differences, serving not only as an incentive medium but also as an "agent permission scheduler."

8. Summary: Business Logic, Engineering Implementation, and Potential Risks

Theoriq focuses on the core pain points of DeFi—liquidity management and automated asset operation, representing the key path for AgentFi to transition from concept to practicality. Its engineering implementation is highly challenging, but once overcome, it will build a very high moat. Theoriq is one of the few projects that possesses both "engineering realizability" and "commercial usability," and has the potential to become a long-term infrastructure target for AgentFi.