WeChatFerry

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WeChatFerry is an open-source AI Agents & Automation tool that connects large language models to WeChat. It allows developers to build custom WeChat bots and automate tasks within the messaging platform.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is WeChatFerry?

WeChatFerry is an open-source WeChat robot framework designed to integrate various large language models like DeepSeek, Gemini, ChatGPT, ChatGLM, and Tigerbot into WeChat. It provides a robust hook-based system for developers to create custom WeChat bots, enabling automation of messaging tasks and interactions. The tool supports a wide range of functionalities, including sending text, image, file, and GIF messages, managing contacts, querying databases, and handling friend requests. With client libraries available for Python, HTTP, NodeJS, Go, Java, C#, and Rust, WeChatFerry offers flexibility for developers to build powerful and customized WeChat automation solutions.

Best used for

Ideal for developers who need to integrate large language models with WeChat, automate messaging workflows, and build custom chatbot functionalities. Especially valuable for creating intelligent agents that can interact with WeChat users and manage various communication tasks programmatically.

Common actions

build chatbots

automate WeChat

integrate LLMs

manage messages

face swappinggithub copilot"AI Agents"deepfakeworkflowscollaborationlow-code/no-codeautomated workflowopen-source

Capabilities

Key features

Integrate DeepSeek, Gemini, ChatGPT
Send text, image, file messages
Manage WeChat contacts
Query WeChat database
Automate friend requests
Support multiple client languages

Target Audience

developer

Integrations

deepseekgeminichatgptchatglmtigerbot

Pricing & Plans

Open Source

Free

FAQs

What large language models can WeChatFerry integrate with?

WeChatFerry is designed to integrate with a variety of large language models, including DeepSeek, Gemini, ChatGPT, ChatGLM, 讯飞星火 (Xunfei Spark), and Tigerbot. This allows for flexible AI-powered interactions within WeChat.

What programming languages are supported for building clients with WeChatFerry?

WeChatFerry offers client libraries and examples for multiple programming languages. These include Python, HTTP, NodeJS, Go, Java, C#, and Rust, providing developers with diverse options for integration.

What are some key functionalities offered by WeChatFerry for bot development?

WeChatFerry provides extensive functionalities such as sending various message types (text, image, file, GIF, XML), querying login status and account information, managing contacts, handling friend requests, and accessing WeChat's internal database for advanced operations.

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Subcategories trending in AI Agents & Automation

AI Frameworks & Infra General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Also listed in

This tool also appears in

Productivity & Business › Team Collaboration

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