Depth Analysis of Theoriq: DeFi Practices of Multi-Agent Collaboration

Since 2024, AI Agents have rapidly risen in the Web3 field, with numerous experiments surrounding intelligent agents emerging. As a bridge between model capabilities and specific business applications, AI Agents 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 level

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

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

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: includes distribution subclasses ( such as Agent Launchpad ), application subclasses ( such as AgentFi ), consumption subclasses ( such as Agent Social ), etc.

2. AgentFi: Practical and Verifiable Value Implementation Direction

AgentFi may be the most promising evolutionary direction at this stage to achieve a balance between "engineering feasibility + business availability". The main implementation directions include:

1. Lending: Automated Interest Rate Arbitrage and Cross-Protocol Fund Dispatching
2. Trading: Intent-based automation execution
3. Liquidity Mining/LP Management: Centralized LP Strategy Automation Execution, Intelligent Rebalancing, etc.

3. The evolution of liquidity management for Theoriq:Agent Swarm

Theoriq aims to create an agent economy by coordinating AI agent clusters (Agent Swarm). 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 messaging and coordination mechanisms, a public Agent registration system, and configurable Agent templates.

AlphaSwarm is the first flagship multi-agent system built on the Theoriq Alpha Protocol, composed of three core agents: AlphaSwarm Portal Agent, Knowledge Agent, and LP Assistant Agent.

4. Theoriq Ecosystem Collaboration 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 a depth collaboration with Google Cloud, NVIDIA, and others. At the community level, it has launched the "Infinity Swarm" global ambassador program and is expanding its influence through various activities.

V. Token Economic Model Design and Governance Security Mechanism

The token economic model published by Theoriq positions $THQ as the core "fuel" of the decentralized agent network. The total supply is fixed at 1 billion tokens, allocated to core contributors, investment institutions, community incentives, and the treasury.

$THQ holders can participate in the network and receive incentives through various means, including protocol access fees, staking, locking, and agent delegation.

6. Project Financing and Team Background

The development team behind Theoriq, ChainML, has completed two rounds of financing, totaling $10.2 million. Core team members come from tech and financial giants such as Google, ConsenSys, and Goldman Sachs.

7. The Competitive Landscape of the Agent Market

Theoriq is positioned differently from general-purpose Agent networks such as Olas, Talus(, and Agent Frameworks like ElizaOS and Zerebro), focusing on DeFi capital-intensive and frequently interactive on-chain application scenarios. In the niche direction of AgentFi + DeFi liquidity management, there are few direct competitors to Theoriq Alpahswarm.

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

Theoriq focuses on the core pain points of DeFi - liquidity management and automated asset operations, representing the key path for AgentFi to move from concept to practicality. Its engineering implementation is challenging but feasible, and once breakthroughs are made, it will build a very high moat. Theoriq has the potential to become a long-term infrastructure target for AgentFi.

![Understanding Theoriq: Multi-Agent Collaboration in Decentralized Finance Practice])https://img-cdn.gateio.im/webp-social/moments-cff46d73b80e3b83b4526dd186a24c35.webp###