Hanson/vbot

WeChatRobot is a framework providing programmatic interfaces for automating messages and interactions within the WeChat ecosystem. It functions as a bot framework that enables the automation of sending and receiving messages by intercepting system processes. The project includes specialized tools for intercepting system calls and utilizing memory-based application hooking to automate workflows, including support for Enterprise WeChat. It further provides capabilities to decrypt local application databases to recover historical chat logs and user information. Additional functionality covers t

This project is a Go language library and API SDK designed for integrating with the WeChat ecosystem. It provides a programmatic interface to manage official accounts, mini programs, and enterprise platform features. The SDK features an interface-based client design that abstracts various API categories into specialized objects. It includes a dedicated OAuth 2.0 authorization client to manage access tokens, authentication tickets, and third-party authorization flows, alongside a pluggable token caching system to share credentials across different environments. The library covers broad capabi

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