Phoenix Architecture

Phoenix builds an efficient and extensible framework for developing and running DePin with a modular design at its core, providing powerful intelligence to support the Web3 ecosystem. Phoenix enables decentralized DePin creation, operation, and collaboration through the following key components

Core Architecture and Modules:

Agent Runtime

As the core module of Phoenix, it is used to coordinate and manage the operation of the entire SmartBody system. It supports the execution of tasks, data exchange and efficient collaboration between modules.

Character System

Defines the roles and functional modules of DePin through which it can interact with the Model Provider. Models can be dynamically loaded for domain-specific functionality optimization, such as investment analysis, on-chain governance, and so on.

Memory Manager

Provides a RAG (Retrieval-Augmented Generation) memory system that combines short-term and long-term memory to provide real-time data access and history recall for the intelligence. Enhances DePin's contextual understanding and decision support capabilities in complex tasks.

Action System

Responsible for executing intelligent body's action decisions, seamlessly connecting with Platform Clients. It supports cross-platform operation, covering mainstream platforms such as Discord, Telegram, Twitter, etc., and promotes the wide application of intelligent bodies in multiple scenarios.

Model Provider

As the core algorithmic support module of the intelligent body, it provides access to and integration with mainstream models such as GPT-4 and Llama, and supports highly customized knowledge base and functional extensions.

Database

Provides on-chain and off-chain data storage services, supports task-related real-time data storage and key event archiving, and ensures the efficient utilization and security of data.

Platform Clients

Provide interfaces between intelligences and various platforms in the Web3 ecosystem, facilitating social integration, resource allocation and economic behavior of intelligences.

Architecture features and innovations:

Modular design:

Through the flexible combination of modules, developers can quickly adapt to different scenarios, such as on-chain governance optimization, automated trading assistance and so on.

Modeling Economic Behavior:

Phoenix gives DePin the role of an independent economic node, enabling it to perform tasks such as asset management and investment assistance in the Web3 ecosystem to drive the development of the smart body economy.

Seamless cross-platform integration:

The Action System module supports multi-platform connectivity, dramatically lowering the deployment threshold and extending the range of applications for intelligences.

Smart governance optimization:

Through the RAG system and Memory Manager, Phoenix provides decentralized autonomous organizations (DAOs) with the ability to optimize their governance processes.

Phoenix's architecture provides strong support for DePin's rapid development and efficient operation, and through the combination of modularization and on-chain integration, it promotes the prosperity and landing of the Web3 new economy.