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chatgpt on wechat

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Basic Information

This repository provides an open-source implementation for running a large-model driven chatbot accessible from WeChat and related Chinese enterprise messaging platforms. It is designed to bridge messaging channels and a variety of large language models so maintainers can deploy conversational agents that serve users over WeChat Official Accounts, WeCom (enterprise WeChat), Feishu, DingTalk and similar entry points. The project centralizes connection to multiple LLM providers so operators can choose or switch backends such as ChatGPT, Claude, DeepSeek, Wenxin Yiyan, Xunfei Xinghuo, Tongyi Qianwen, Gemini, GLM-4, Kimi and LinkAI. The software is intended for building chatbots that handle text, voice and images, and it includes capabilities for the agent to access the host operating system and the internet for expanded functionality.

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Stars
38525
App URL
https://github.com/zhayujie/chatgpt-on-wechat
Github Repository
https://github.com/zhayujie/chatgpt-on-wechat/blob/main/README.md

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App Details

Features
Multi-channel integration with Chinese messaging platforms is a primary feature, supporting WeChat official accounts, enterprise WeChat, Feishu and DingTalk. Backend flexibility is provided via support for many LLM providers including ChatGPT, Claude, DeepSeek, Wenxin Yiyan, Xunfei Xinghuo, Tongyi Qianwen, Gemini, GLM-4, Kimi and LinkAI. The system handles multimodal inputs and outputs, processing text, speech and images. It can enable agent access to the operating system and internet resources to perform extended tasks. As an open-source project, it supplies configuration and connectors to link messaging platforms with chosen model APIs and is intended to be extensible for additional providers or deployment scenarios.
Use Cases
This project helps developers and organizations deploy conversational AI into WeChat and other enterprise messaging environments without building integrations from scratch. By supporting multiple LLM backends, it lets teams evaluate and switch models based on cost, capability or policy. Multimodal handling of text, voice and images allows richer user interactions. The ability to reach the operating system and internet enables agents to perform practical tasks beyond simple Q&A, such as fetching external data or invoking system tools where permitted. These capabilities reduce integration effort, accelerate prototype and production deployments of chatbots in Chinese messaging ecosystems, and allow centralized management of model choices and channel adapters.

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