sfyc23/EverydayWechat

wxauto is a Python library and bot framework designed for the programmatic control of the WeChat Windows desktop client. It functions as a wrapper that enables the automation of messaging and social feed functions by simulating user interface interactions. The library distinguishes itself by providing a bridge between network requests and local UI automation, allowing users to expose automation capabilities via a web interface. It utilizes background execution and simulated system-level inputs to trigger application events without moving the physical mouse cursor. The project covers extensiv

wxpy is a Python library and bot framework that acts as an API wrapper for personal WeChat accounts. It provides a programming interface to automate account tasks, send messages, and manage contacts. The project functions as a chatbot integration engine, allowing users to connect external AI services and custom logic to automatically respond to private and group conversations. It includes a social media automation toolkit for programmatically handling friend requests and group memberships. The framework covers multimedia message broadcasting, user profile retrieval, and contact search. It al

WeixinBot is a framework for WeChat account automation and bot development. It provides a programmable interface to monitor incoming messages and trigger automated actions within the WeChat ecosystem. The system emulates a browser session using a WebSocket-based protocol and establishes identity through QR code authentication. It maintains session-state persistence to keep accounts active without repeated verification. The project covers message processing for text, images, voice notes, and location data, and supports the transmission of emojis and links. It includes utilities for user conta

Gewechat is a bot framework and API wrapper for automating WeChat accounts. It provides a programmatic interface to manage account sessions, automate the delivery of multi-modal messages, and administer group chats and contact directories. The project focuses on integrating external large language models into the messaging pipeline to automate conversational responses and handle queries. It utilizes a bridge to connect these AI models with the messaging platform for automated interaction. The system covers a broad range of capabilities, including event-driven message processing, asynchronous