chatgpt-on-wechat

This project delivers a multi-agent AI assistant framework that actively plans complex tasks, uses tools and skills, and maintains evolving long-term memory and knowledge. Unlike simpler chatbot wrappers, it supports multiple large language models and instant switching between them, and integrates deeply with popular IM platforms like WeChat, Feishu, and Slack. Its architecture decouples channels, agent core, models, and tools, enabling extensibility and multi-agent collaboration with role-specific agents. ML engineers aiming to build personal or enterprise digital assistants with multi-modal input (text, voice, images) will find it useful. The project is mature with over 42,000 stars and recent commits, but its growth history is not notable, indicating a stable but not rapidly expanding user base. It is not the right choice if you need a minimal, single-agent chatbot or a commercial-grade platform with guaranteed SLAs; alternatives like LangChain or Microsoft Bot Framework might suit those cases better.

Choose this if you need a flexible, multi-agent AI assistant that integrates with Chinese and international IM platforms and supports multiple LLM providers with multi-modal input. Consider LangChain or Rasa if your focus is on single-agent workflows or custom NLP pipelines without the multi-agent or multi-channel complexity.

Typically used in building AI-powered personal assistants or enterprise digital employees that operate across messaging platforms such as WeChat, Feishu, and Slack. Common use cases include automating task planning, knowledge management with evolving wikis, and multimodal interaction involving text, voice, and images.

Latest commit: 2026-03-29. Activity data is based on daily RepoPi snapshots of the GitHub repository.