Theoriq: DeFi Practices of Multi-Agent Cooperation

1. AI Agent Protocol Stack Layers

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 collaboration among multi-agents, task scheduling, and system incentives, including Agent Orchestration, Agent Swarm, and Agent Incentive Layer.

3. Application Layer: includes distribution subclasses ( such as Agent Marketplace ), application subclasses ( such as AgentFi ), and consumption subclasses ( such as Agent Social ).

2. AgentFi: A Promising Landing Direction

AgentFi is the most promising evolutionary direction at this stage to achieve a balance of "engineering feasibility + business availability". It mainly focuses on the following sectors:

1. Lending: Automated interest rate arbitrage and cross-protocol fund scheduling.

2. Trading Category: Intent-based automated execution, leaning towards "Trading Assistant Copilot".

3. Liquidity Mining/LP Management: Focus on the automated execution of centralized LP strategies, intelligent rebalancing, etc.

3. Theoriq: The Evolution of Agent Swarm's Liquidity Management

Theoriq aims to create an agent economy through the coordination of AI agent clusters, and on-chain liquidity management is an important application scenario. Its flagship product AlphaSwarm consists of three types of core agents:

• AlphaSwarm Portal Agent: Perceives user wallet status and acts as an entry coordinator.
• AlphaSwarm Knowledge Agent: Connects on-chain/off-chain data to generate insights and strategic judgments.
• AlphaSwarm LP Assistant Agent: Generates on-chain trading proposals based on parameters to achieve automated liquidity management.

4. Theoriq Ecosystem Cooperation and Community Development

Theoriq is building a multi-dimensional ecological network covering AI infrastructure, data collaboration, computing power acceleration, and community co-construction, in collaboration with several top technology companies and Web3 projects. The main components include:

• Collaborate with Google Cloud and NVIDIA to obtain cloud resources and GPU support
• Build a modular capability network with partners such as Kaito
• Launch the "Infinity Swarm" Global Ambassador Program

Theoriq has built an ecological flywheel mechanism driven by AI developers, Decentralized Finance protocols, token project parties, and token holders.

5. Token Economic Model and Governance Mechanism

The token $THQ of Theoriq is positioned as the core "fuel" of the decentralized agent network. The total supply is fixed at 1 billion pieces, 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 incentives through staking, locking, and delegation.

6. Project Financing and Team Background

Theoriq has completed two rounds of financing, totaling 10.2 million USD. The core team comes from technology and financial giants such as Google and ConsenSys, with a strong background in AI, blockchain, and other fields.

7. The Competitive Landscape of the Agent Market

Theoriq focuses on multi-agent collaboration in the DeFi scenario, distinguishing itself from general-purpose Agent networks like Olas and Talus. In the niche of AgentFi + DeFi liquidity management, Theoriq's main competitors include Aperture Finance and Giza's ARMA.

8. Summary

Theoriq represents the key path for AgentFi from concept to practicality, focusing on the core pain points of Decentralized Finance, and building a complete engineering system. Its breakthrough in the high-tech barrier field of liquidity management is expected to construct a very high moat and systemic competitive advantage.