# 1ChatServe：万洽AI客服-全域AI在线客服解决方案
**Repository Path**: tywo45/1ChatServe
## Basic Information
- **Project Name**: 1ChatServe：万洽AI客服-全域AI在线客服解决方案
- **Description**: 万洽AI客服 (1ChatServe) 是新一代全域AI在线客服平台。通过整合全域渠道，统一承接客户咨询，通过强大的AI能力，助力企业实现服务效率与用户体验的双重提升。 连接全域，智洽无界，客户服务从此一体。 选择万洽，就是选择一种更智能的沟通未来。
- **Primary Language**: Java
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: http://aikf.chat
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 8
- **Created**: 2026-01-30
- **Last Updated**: 2026-01-30
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
[](https://gitee.com/visualinsur-xbkj/1ChatServe/stargazers)
[](https://gitee.com/visualinsur-xbkj/1ChatServe/members)
[](https://gitee.com/visualinsur-xbkj/1ChatServe/blob/master/LICENSE)
[简体中文](./README.md) | English
## 0. About the Project
### 0.1 Find Us
Open source official website (technical documentation)： http://aikf.chat/
Github: https://github.com/OneChatAIServe/AI-1ChatServe
Gitee: https://gitee.com/visualinsur-xbkj/1ChatServe
GitCode: https://gitcode.com/OneChatServe/1ChatServe
### 0.2 Frontend Repository
Address： https://gitee.com/hixinla/1-chat-serve-front
### 0.3 Online Demo
Admin Panel: http://demo.aikf.chat (Account: admin , Password: admin123)
User Experience End： http://mobile.aikf.chat
## 1. Project Background
In the wave of digital transformation, enterprises face many severe challenges:
- **Channel Fragmentation**: Customer touchpoints are spread across websites, apps, WeChat ecosystem, social media and other platforms, leading to chaotic management and low efficiency
- **Data Silos**: Customer data from different channels cannot be unified, making it difficult to form complete customer profiles and provide precise services
- **Insufficient Service Standardization**: Manual customer service levels are uneven, lacking unified service standards and automated support
- **Cost Pressure**: Traditional commercial customer service systems are expensive, with limited functions, making it difficult to meet personalized needs
- **Security and Privacy Concerns**: Customer data is stored on third-party platforms, posing data leakage and privacy risks
- **Localization Requirements**: Some enterprises need to deploy systems locally to meet compliance and data sovereignty requirements
Traditional commercial customer service systems can no longer meet enterprises' demands for global, intelligent, integrated, secure and controllable customer service.
To address these pain points, we have launched **"1ChatServe" - an open-source global AI intelligent customer service solution**.
Through the open-source model, enterprises can obtain higher security, stronger customization capabilities, lower usage costs, and complete data control rights.
1ChatServe aims to help enterprises build a **"customer acquisition - service - operation - decision-making - security"** business closed loop, realize intelligent, standardized and integrated management of customer service, improve customer experience and service efficiency, and precipitate customer asset value.
## 2. Project Introduction
### 2.1 Positioning
Global AI Intelligent Customer Service Solution
### 2.2 Slogan
Connect the entire domain, intelligent service without boundaries, customer service becomes integrated from now on
### 2.3 Core Values
1ChatServe forms a complete business closed loop from "ecological connection (customer acquisition entrance) → customer service rule engine (service standard) → workbench (operation execution) → customer assets (value precipitation) → data insight (decision optimization) → system configuration (basic guarantee)", providing enterprises with comprehensive intelligent customer service solutions.
## 3. Product Architecture
### 3.1 Core Modules
- Global Ecological Connector: Connects multi-terminal customer touchpoints to achieve unified access and management across all channels.
- Intelligent Customer Service Rule Center: Builds an automated service system through rules and AI to improve service efficiency and standardization.
- Intelligent Operation Workbench: Carries the full process of daily customer service operations, combined with AI capabilities to improve service quality.
- Customer Asset Growth Center: Precipitates customer data, builds customer profiles, and maximizes customer value.
- Intelligent Data Insight Center: Drives operational decisions and service optimization through data analysis and visualization.
- Global System Configuration Center: Ensures stable platform operation and global control, supporting personalized configuration needs.
### 3.2 AI Capabilities Integration
- Intelligent Intent Recognition: User intent analysis based on deep learning
- Sentiment Analysis Engine: Real-time analysis of customer emotional state
- Intelligent Reply Recommendation: Provides intelligent reply suggestions based on context
- Multi-language Translation: Supports real-time conversation translation
- Customer Profile Construction: Generates customer tags based on behavioral data
- Risk Identification and Early Warning: Identifies potential violation content and risky behaviors
## 4. Project Deployment
### 4.1 Technology Stack
**Frontend Technology Stack**: ES6, Vue3, Vuex, Vue-router, Vue-cli, Axios, Element-ui
**Backend Technology Stack**: Spring Boot, Spring Cloud & Alibaba, Nacos, Mybatis-plus, xxljob, RabbitMQ, Forest
**Database**: MySQL
### 4.2 Frontend Deployment
*Coming soon...*
### 4.3 Backend Deployment
*Coming soon...*
## 5. Project Advantages
**Global Integration**: Unified access and management of multi-terminal customer touchpoints, breaking data silos
**AI-driven Intelligence**: Integrated AI capabilities to achieve intelligent allocation, intelligent reply, and intelligent analysis
**Flexible and Scalable**: Modular architecture design supporting function customization and secondary development
**Open-source Strategy**: Based on open-source protocol, enterprises can freely use, modify and deploy
**Easy to Deploy**: Supports local deployment and cloud deployment to adapt to different enterprise needs
**Complete Ecosystem**: Provides rich API interfaces for easy integration with existing enterprise systems
## 6. Development Plan
### Q4 2025
- Complete basic architecture setup: Frontend-backend framework integration, database design
- Implement core functions: Customer list, chat conversations, basic allocation rules
- Complete AI basic capabilities: Intent recognition, intelligent reply recommendation
### Q1 2026
- Implement multi-channel access: Web端, APP端, WeChat ecosystem
- Improve rule center: Allocation rules, reception rules, robot rules
- Build operation workbench: AI conversation cabin, ticket hub
### Q2 2026
- Develop customer asset center: Refined customer management, tag and profile system
- Implement data insight center: Real-time data dashboard, intelligent analysis reports
- Improve global configuration: Organizational permissions, system configuration, security center
### Q3 2026
- Expand ecological connections: Content platforms, overseas ecosystems, advertising links
- Enhance AI capabilities: Sentiment analysis, multi-language translation, risk identification
- Optimize system performance: High concurrency support, stability improvement
### Q4 2026
- Implement enterprise-level functions: Multi-tenant, advanced permissions, customized configuration
- Develop mobile SDK: APP integration, mobile adaptation
- Improve data analysis: In-depth analysis reports, predictive analysis
### 2027 and Beyond
- Build developer ecosystem: Plugin market, API open platform
- Provide industry solutions: E-commerce, finance, education, etc.
- Deepen intelligence: Highly automated customer service, personalized services
- Global deployment: Multi-language support, overseas compliance adaptation
## 7. Contributing
We welcome community developers to participate in the development and improvement of 1ChatServe, and jointly build an excellent open-source intelligent customer service solution.
### 7.1 Contribution Methods
1. **Submit Issues**: Report bugs, propose feature suggestions or improvement ideas
2. **Submit Pull Requests**: Fix bugs, implement new features or optimize code
3. **Documentation Contribution**: Improve documentation, translate content or write tutorials
4. **Community Participation**: Answer questions, share experiences or organize activities
### 7.2 Contact Information
*Official channels are under construction, please stay tuned...*
## 8. License
1ChatServe adopts the [GPL-3.0 License](LICENSE). According to the GPL-3.0 License:
- You can freely use, modify and distribute this software
- Modified code must be released under the same license
- Original license and copyright notices must be retained
- Any modifications to the software must be clearly marked
- The software provides no warranty, and users bear the risks of use
## 9. Acknowledgements
Thank you to all developers and users who have contributed to the 1ChatServe project. It is your support and feedback that make the project continue to grow and improve.
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