1. Introduction

DeAgentAI is developing an AI Agent Incentive Protocol, focusing on building an advanced fine-tuning platform. This platform aims to enhance the adaptability and specialization of large AI models through fine-tuning techniques. DeAgentAI will provide support throughout the entire lifecycle of fine-tuning to improve model performance across various industries by integrating domain-specific data and expert knowledge. Through DeAgentAI, the commercialization of agents in various niche scenarios will be greatly accelerated, creating a thriving agent ecosystem.

Project Background and Motivation

As blockchain technology evolves rapidly, Web3 has become a significant force in pushing for the decentralization of the internet. However, there are still many challenges in achieving fully autonomous and intelligent blockchain applications. The introduction of AI agents offers new perspectives and technical pathways to address these issues.

Web3 is characterized by its decentralization, relying on blockchain to distribute data across the network rather than storing it in a central location.In traditional economic models, intermediaries such as banks, brokers, and other middlemen play a crucial role. However, with the decentralized nature of Web3 and the intelligent automation provided by AI, these intermediaries can be bypassed. In traditional economic models, user data is often controlled by a few large companies. Web3 emphasizes decentralization and individual ownership of data. AI can play a key role here, enabling individuals to manage and monetize their own data.

AI agents refer to intelligent systems that can perform automated tasks and simulate human decision-making processes. In the realm of Web3, AI agents can enhance blockchain applications by improving data processing capabilities, enhancing user interaction experiences, and automating complex processes.

AI Agent has developed rapidly, and there are many outstanding research achievement. Since March 2023, many excellent Agent research projects such as Stanford AI Town, BabyAGI, and AutoGPT have been launched in just two weeks, causing everyone's attention to the AI Agent. At present, there are many Agent achievements such as the Nvidia Voyager Agent, which is brilliant in the game field, the agent assistant HyperWrite that can help individuals complete simple tasks, and the AI assistant Pi that focuses on personal emotional companionship.

Our project seeks to harness the power of AI agents to address challenges within the Web3 ecosystem. By incorporating AI agents, we aim to enhance the efficiency, scalability, and user engagement of our platform. These agents will enable seamless automation of complex tasks, provide personalized user experiences, and ensure that our system remains adaptive to the dynamic and rapidly evolving nature of Web3 technologies. In doing so, we position ourselves at the forefront of innovation, leveraging the latest advancements in AI to create a more intelligent and responsive Web3 environment.