Solana ecological star $QUDE: market value exceeded 40 million US dollars in 3 days, on-chain AI agent development framework

Author: Deep Value Memetics

Compiled by: Deep Wave TechFlow

$QUDE: The "pioneer" of a new generation of frameworks?

New Token Quick View | $QUDE (FDV $30M) | @Qudeai

DVM’s perspective : $QUDE is an open source low-code platform and modular framework based on Solana ($SOL), focusing on simplifying the creation, deployment and interaction process of AI agents on the chain. It mainly solves the complex problems faced in developing scalable, secure and data analysis-capable AI applications in a decentralized environment. As a new project, $QUDE's performance on GitHub is eye-catching, having received 32 stars and 7 forks in two weeks. We believe that this technology is unique in the Solana ecosystem and currently has few direct competitors. In the short term, its valuation may fluctuate between $50M-$100M; if the adoption rate accelerates, its valuation may gradually approach other mature frameworks.

Project Introduction | Modular, extensible agent framework and its DAO

QudeAI is an open source framework designed for creating, deploying, and interacting with AI agents on the Solana network.

Through this framework, users can develop agents that perform tasks such as blockchain query and market analysis, while QudeAI plays the role of "co-pilot" during the development process, providing guidance and collaborative support to users.

This framework is known for its modular and scalable design, enabling seamless integration of AI and blockchain technology.

Additionally, the QudeAI framework is tied to a Decentralized Autonomous Organization (DAO). The DAO aggregates the market capitalization of all agents deployed through the framework, and developers can choose to contribute a portion of the token supply to the DAO, thereby receiving additional benefits such as validation of the agents and greater visibility.

How does the project work?

CLI-based agent creation, RESTful API interaction, OpenAI-driven AI engine, and Firebase-Solana data management

• Agent creation and deployment: Users define the behavior and functions of AI agents through the command line interface (CLI). The QudeAI framework provides users with full guidance to help quickly complete the design and development of intelligent agents. The agent can then be deployed to the Solana blockchain via CLI commands.

• Agent interaction: Users can interact with agents through CLI tools or RESTful APIs. The RESTful API supports GET and POST requests, allowing users to query blockchain data or execute commands through natural language.

• AI engine: QudeAI uses OpenAI's API to drive the interactive function of the agent. Users can flexibly configure the agent's behavior mode and response logic to meet different task requirements.

• Data management: Metadata and real-time data updates are powered by Firebase, while blockchain data is managed through Bitquery API and stored on the Solana network, ensuring data transparency and immutability

What core technologies are used in the project?

Solana, Node.js backend, OpenAI AI, Firebase data management and Bitquery Analytics

• Blockchain : Based on the Solana blockchain, it provides high-speed, low-cost transaction capabilities while ensuring data transparency and non-tamperability.

• Backend : Use Node.js and Express framework to build API routing, combine with Firebase to implement persistent data storage, and provide convenient interaction methods through RESTful API.

• Artificial Intelligence : Using OpenAI's GPT model to support natural language interaction and behavior configuration of agents.

• Database : Firebase is used to store the agent's metadata and user interaction logs, and update the data in real time.

• API integration : Bitquery provides blockchain data analysis services, and QudeAPI is used to connect public AI agents and expand functions.

• Development tools : Use TypeScript to improve development efficiency and provide CLI tools to facilitate developers to manage the life cycle of agents.

• Middleware : used to ensure secure communication and request coordination between modules in the system.

What key issues did the project solve?

The core goal of QudeAI is to solve the pain points in the integration of AI and blockchain technology and provide developers and users with simpler and more efficient solutions:

• Simplify complexity : Significantly lower the technical threshold for developing and managing AI agents that interact with the blockchain, helping developers focus on the core functions of the agents.

• Improve accessibility : As an open source project, QudeAI provides a developer-friendly platform so that more people can easily use AI and blockchain technology.

• Enhanced performance and scalability : Support large-scale deployment and rapid response through the combination of efficient data processing and blockchain technology.

• Ensure transparency and security : Leverage the immutability of blockchain to ensure data integrity while providing a secure storage solution through Firebase.

Founder and Vision

Currently, the identity of QudeAI’s founder has not been made public. However, the core vision of the project is to revolutionize the way AI interacts with blockchain technology by providing easy-to-use tools that simplify the process of creating and managing agents. QudeAI aims to promote the popularization of AI and blockchain technology so that more developers can easily build intelligent decentralized applications.

Comparison with Solana native framework

ARC's Rig Framework ( @arcdotfun ) and QUDE ( @Qudeai ) are respectively aimed at different application fields.

$ ARC ' s Rig Framework is a framework based on the Rust programming language that focuses on building high-performance AI agents. Its core goal is to optimize the performance and workflow of AI applications, while solving problems such as AI model integration, token management, and concurrent processing. By providing a series of practical tools, the framework helps developers improve the efficiency of agents in actual scenarios.

On the contrary, $QUDE focuses on the deep integration of AI and blockchain, providing a platform where developers can directly create and run AI agents on the blockchain network. It supports intelligent interaction on the chain through QLLM (QudeAI Language and Logic Module), and promotes community cooperation through QCM (QudeAI Community Module), making the development of intelligent agents more open and easy to use.

The core difference between the two lies in their focus: $ARC's Rig Framework mainly focuses on performance optimization and workflow management of AI agents in the Rust environment, while $QUDE is committed to promoting the development and application of AI agents in the blockchain ecosystem. .

References

• Contract address ( CA ) :

3MyaQBG7y3SHLQZa282Jh2xtB2TZKHGzNp1CuZ4Cpump

• X : https://x.com/Qudeai

• Official website : https://qude.ai

• GitHub : https://github.com/qudeai

• Development documentation : https://docs.qude.ai

• Telegram community : https://t.me/qudeai

 The original picture comes from Deep Value Memetics, compiled by Deep Wave TechFlow