# chatwiki **Repository Path**: mywisdomcode/chatwiki ## Basic Information - **Project Name**: chatwiki - **Description**: 开箱即用的基于企业私有知识库的LLM大语言模型的智能客服机器人问答系统,支持私有化部署,代码免费开源且可商用,由芝麻小客服官方推出。 - **Primary Language**: Go - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 18 - **Created**: 2026-04-28 - **Last Updated**: 2026-05-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

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English | 简体中文 | UpdateLog | Help Docs

## 🎯 Product Positioning ChatWiki is a workflow automation platform focused on the WeChat ecosystem, dedicated to making every official account a super AI agent. It fully integrates the open capabilities of the official account platform, allowing you to build WeChat ecosystem applications through drag-and-drop, enabling features like one-click rewriting of official account articles and AI-curated comment replies. ![product positioning](./imgs/product_positioning.png) ## ✨ Core Features ### 💬 Deep Integration with WeChat Ecosystem - **Industry First**: Automatic reply to private messages for unverified official accounts, supporting text, voice, images, mini-program cards, video messages, etc. - **WeChat Workflows**: Integrates trigger scenarios such as user private messages, comments, follows, unfollows, menu clicks, etc. Supports various processing steps like replying to private messages, tagging fans, generating draft articles, publishing articles, and more. - **Knowledge Base Synchronization**: Supports scraping articles and materials from official accounts to build a knowledge base with one click. ### 🤖 Basic Capabilities - **Workflow Orchestration**: Conversational workflows, plugin workflows, including basic workflow nodes, bidirectional MCP, Agent mode, and user interaction. - **Document Knowledge Base**: Supports URL reading, batch document import, API integration, AI-based segmentation, QA segmentation, parent-child segmentation. Supports knowledge graphs, hybrid vector search, and visual exploration of knowledge graphs. - **QA Knowledge Base**: Automatically extracts QA knowledge from uploaded documents, supports automatic clustering of unknown questions, and summarizes common FAQs from human conversations. - **Human Handoff**: Handles general user inquiries via bot, while also supporting human staff. Issues that the bot cannot resolve can be escalated to human客服, with multi-agent collaborative assignment. - **Model Support**: Supports over 20 mainstream global models, including DeepSeek R1, doubao pro, qwen max, OpenAI, Claude, etc. ### 🌐 More Capabilities - **Multiple Deployment Options**: Offers desktop client, supports publishing as a WebApp, and embedding into websites, official accounts/service accounts, wecome staff, WeChat store staff, etc. - **MCP & API Integration**: Allows integration of external MCP services or publishing workflows as MCP services. Complete OpenAPI interface for easy integration with existing business systems. - **Multi-account Permission Management**: Three-tier permission system (admin, editor, viewer) ensures data isolation. IP whitelist and permanent login logs. ## 🛸 UI - 🌍**Free Trial URL**: [chatwiki.com](https://chatwiki.com/) - 🖼️**Screenshots**:

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## 🚀 One-Click Deployment ChatWiki Community Edition is deployed using Docker and can be installed in just a few simple steps: ``` # Install Docker sudo curl -sSL https://get.docker.com/ | CHANNEL=stable sh # Clone the project git clone https://github.com/zhimaAi/chatwiki.git cd chatwiki/docker # Start the service docker compose up -d # Start using it, access via IP:port (ensure the specified port ${CHAT_SERVICE_PORT}, default 18080, is open) # Default username: admin # Default password: chatwiki.com@123 ``` For any issues or suggestions during installation and deployment, please [contact us](https://github.com/zhimaAi/chatwiki?tab=readme-ov-file#contact-us) or refer to the [help documentation](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1?source=aHR0cHM6Ly9jaGF0d2lraS5jb20v) for assistance. You can also check the guides below. - [Installing ChatWiki via Installation Assistant](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/tvwn5npk63aqikq1) - [One-Click Deploy ChatWiki Community Edition](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/wql8ekkylbwegbzo) - [Docker Mirror Site Installation + Offline Installation](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/aa3htgexhdocyagr) - [Deploy ChatWiki Without Docker](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/klriercbhpy97o0g) - [Deploy ChatWiki Community Edition on Baota Linux Panel](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/gefgwdfnclua7d9y) - [Deploy ChatWiki Community Edition with 1Panel](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/munvto5g1ctc1gcu) - [How to Configure Model Providers and Supported Models](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/pn79lkvl53bo0xxm) - [Local Model Deployment](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/evmy0rr9gr2gp2i0) - [How to Configure External Services and Domain for Push Notifications](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/nfk4slc95s4i8u4v) - [How to Obtain Large Model API Keys](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1/lx3ho90skq95dpdq) ## 💻 Tech Stack ---- - Frontend: vue.js - Backend: golang + python - Database: PostgreSQL16 + pgvector + zhparser

🏡 Community & Contact Us

---- Feel free to contact us for help or to provide suggestions to improve ChatWiki. You can reach us through: - **Help:** Check the [help documentation](https://www.yuque.com/zhimaxiaoshiwangluo/pggco1?source=aHR0cHM6Ly9jaGF0d2lraS5jb20v) - **Email:** Send an email to [jarvis@2bai.com.cn](mailto:jarvis@2bai.com.cn) to contact us. - **WeChat:** Scan the QR code below to join the ChatWiki tech community group. Please add the note "chatwiki" when adding.

contact-us

## 📖**Changelog** --- For the complete changelog, please click 👉️👉️[UpdateLog.md](./UpdateLog.md) **2026/04/24** 1. Removed special handling logic for images during knowledge base segmentation
2. [STD] AI-suggested replies now support binding workflows
3. [STD] Added default settings feature for model configuration
4. [STD] Added credits purchase entry on the pricing page
5. WebApp external service now displays "Content generated by AI" notice
6. Fixed the issue where the API returned an empty document list for regular knowledge base documents and group lists
**2026/04/17** 1. Use concurrency-safe method to access Neo4j status
2. Fixed abnormal recursion logic for unknown issue recording
3. Ignore duplicate role permission errors during initialization
4. Fixed error when clicking download to batch export knowledge base content
5. Workflow scheduled trigger now checks if previous execution is completed
**2026/04/10** 1. Bot Configuration: Welcome message will no longer be sent when it is empty
2. External service now supports automatic multi-language adaptation
3. Fixed the location matching bug in Docker nginx configuration file
## License --- This project follows the [ChatWiki Open Source License](https://github.com/zhimaAi/chatwiki/blob/main/LICENSE). The [ChatWiki Open Source License](https://github.com/zhimaAi/chatwiki/blob/main/LICENSE) is based on the Apache License 2.0, but with additional restrictions: 1. ChatWiki is free for individual users, including non-commercial or commercial activities conducted by individuals. 2. Any company, organization, institution, or team that uses ChatWiki for commercial purposes must contact us to obtain a commercial license. 3. When using ChatWiki's frontend components, you may not remove or modify the "ChatWiki" logo, trademark, or copyright notice contained therein. **The full license text can be found in the [LICENSE](./LICENSE) file. For commercial licensing, please [contact us](#contact-us).**