加载中
正在获取最新内容，请稍候...
Fay: MCP Framework for Connecting Digital Humans & LLMs to Business Systems
Fay is a Multi-Channel Platform (MCP) framework designed to seamlessly connect digital humans (2.5D, 3D, mobile, PC, web) and large language models (OpenAI compatible, DeepSeek) with backend business systems and logic.
JavaScript
Added on 2025年6月7日11,268
Stars2,075
ForksJavaScript
LanguageProject Introduction
Summary
Fay is an MCP framework enabling the integration of digital humans and large language models with various business systems. It acts as middleware, allowing AI entities to interact with backend services and data.
Problem Solved
The challenge of integrating conversational AI (LLMs) and interactive AI entities (digital humans) with existing business systems often involves complex, bespoke middleware. Fay provides a standardized framework to bridge this gap, accelerating development and reducing integration effort.
Core Features
Unified AI Integration Hub
Acts as a central hub for various AI frontends, including digital humans and LLMs, simplifying integration with backend services.
LLM Connector (OpenAI Compatible)
Provides compatibility layers for popular LLMs like OpenAI and DeepSeek, allowing easy connection to business APIs.
Digital Human Connectivity
Supports integration with diverse digital human platforms across different environments (mobile, PC, web).
Tech Stack
Go
Python
RESTful APIs
Message Queues (e.g., RabbitMQ, Kafka)
Containerization (e.g., Docker)
Use Cases
Fay can be applied in various scenarios where AI interfaces need to interact with backend systems:
Scenario 1: Digital Human Accessing CRM Data
Details
A digital human greeter in a virtual environment uses Fay to access CRM data to personalize interactions with customers.
User Value
Enables personalized digital human interactions based on real-time business data.
Scenario 2: LLM Chatbot Triggering Business Processes
Details
An LLM-powered chatbot deployed on a company's website uses Fay to trigger actions in an order management system, like placing an order or checking status.
User Value
Allows users to perform complex business tasks through natural language conversations with a chatbot.
Scenario 3: Multi-Channel AI Service Integration
Details
Connecting different types of AI entities (e.g., a 3D avatar in a game and a web-based LLM) to a single set of backend services via the MCP framework.
User Value
Provides a unified integration layer for diverse AI frontends, simplifying backend development and maintenance.
Recommended Projects
You might be interested in these projects
opensslopenssl
OpenSSL is a robust, commercial-grade, full-featured Open Source Toolkit for the Transport Layer Security (TLS) and Secure Socket Layer (SSL) protocols. It is also a general-purpose cryptography library.
C
2763610606
apachedubbo
Apache Dubbo is a high-performance, Java-based open-source RPC and microservice framework. It provides features for service discovery, load balancing, fault tolerance, and monitoring, designed for building large-scale distributed systems.
Java
4095626526
TencentCloudtencentcloud-sdk-go
This project provides the official Software Development Kit (SDK) for accessing Tencent Cloud services using the Go programming language. It simplifies API calls, handles request signing, and provides structured types for interacting with cloud resources.
Go
688198