Automates WeChat interactions on macOS, enabling retrieval of messages and sending replies programmatically.
Sponsored
WeChat provides an automation server designed for macOS, leveraging the Accessibility API and screen capture to interact with the WeChat application. This server exposes a set of tools that can be called by Language Model Programs (LLMs) to automate various WeChat tasks. Users can fetch recent messages for specific contacts, and then use the gathered context to generate and send replies. It streamlines WeChat management by turning manual interactions into programmatic calls, making it ideal for integrating WeChat into automated workflows or AI-driven communication systems.
Key Features
01Comprehensive logging to files and terminal for monitoring
02Automates WeChat on macOS using Accessibility API and screen capture
032 GitHub stars
04Generate and send replies to contacts using an LLM's output
05Fetch recent chat messages for any specified contact
06Supports multiple transport protocols: stdio, streamable-http, and sse
Use Cases
01Programmatically collecting WeChat chat history for analysis or contextual awareness
02Automating WeChat customer support or personal assistant functionalities via LLMs
03Building AI agents that can interact and communicate through WeChat on macOS
