ChatGPT-On-CS (懒人客服) - AI Chat Interfaces Tool

Overview

ChatGPT-On-CS (懒人客服) is an open-source intelligent customer service system built around large language models to provide enterprise-grade conversational automation. According to the GitHub repository (https://github.com/cs-lazy-tools/ChatGPT-On-CS), the project targets multi-channel customer engagement across major Chinese social and commerce platforms, enabling text, voice, and image interactions plus configurable auto-replies and a customizable knowledge base. The project is positioned for e-commerce, social-media community management, and enterprise helpdesk scenarios: it integrates channels such as WeChat, Pinduoduo, Qianniu, Bilibili, Douyin, Weibo, Xiaohongshu, and Zhihu, enabling teams to centralize customer messages and apply LLM-driven responses. With an AGPL-3.0 license and an active repository, the tool is suitable for organizations that want a self-hosted solution for automated replies, multimedia message handling, and tailored knowledge-base-driven Q&A. According to the repository metadata, the project has an active community and frequent commits, making it a practical option for teams that prefer open-source control over hosted SaaS solutions.

GitHub Statistics

• Stars: 3,593
• Forks: 444
• Contributors: 4
• License: AGPL-3.0
• Primary Language: TypeScript
• Last Updated: 2025-08-25T02:32:24Z

The GitHub repository shows strong community interest with 3,593 stars and 444 forks, indicating broad adoption and experimentation. The project is licensed under AGPL-3.0 and has 4 contributors. A recent commit timestamp (2025-08-25) points to ongoing development; however, the contributor count suggests a small core team. Overall, the repository demonstrates healthy user traction but would benefit from more contributors for long-term maintainability.

Installation

Install via docker:

git clone https://github.com/cs-lazy-tools/ChatGPT-On-CS.git

cd ChatGPT-On-CS && docker compose up -d

Key Features

• Multi-channel integration: WeChat, Pinduoduo, Qianniu, Bilibili, Douyin, Weibo, Xiaohongshu, Zhihu
• Text messaging: handle customer text conversations across integrated platforms
• Voice communication: supports voice message reception and response workflows
• Image messaging: receive and respond to images (screenshots, product photos)
• Auto-reply rules: configurable automated responses for common queries
• Custom knowledge base: upload and tailor enterprise knowledge for LLM answers
• Centralized inbox: unify messages from multiple channels into one interface

Community

Active and growing: 3,593 stars and 444 forks show strong interest. The project is AGPL-3.0 licensed and maintained by a small core team (4 contributors). Users typically engage via the repository for issues, pull requests, and feature requests; recent commits indicate ongoing development. For participation, file issues or PRs on the GitHub repository and follow contributor guidelines there.

Key Information

• Category: Chat Interfaces
• Type: AI Chat Interfaces Tool