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Try It Now | Features | Screenshots | Demo Scenarios | Architecture | Quick Start | Configuration

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English Edition

Wukong AICRM is a modern CRM platform that combines customer records, communication history, task scheduling, knowledge base, and AI-assisted operations into one workflow. It helps teams improve response speed, collaboration, and sales execution quality.

Try It Now

Wukong AICRM is available as a cloud demo and local install.

Experience	Address / Account	Notes
Live Demo	https://www.72crm.ai/	Register a cloud account to try it
Trial Account	Create a new account on the cloud platform	For testing and evaluation
Help & Discussion	Community Forum	Report issues and share ideas

Tip: The public demo contains sample data, so you can log in directly to try core features.

Features

Module	Core Value
AI Assistant	Ask business questions, get guidance, and execute actions from a unified conversation entry.
Knowledge Base + RAG	Upload manuals, contracts, meeting notes, and reuse documents for accurate Q&A and summaries.
Smart Customer Management	Centralize customer information, contacts, follow-ups, and automatically surface intent signals.
AI Task Automation	Convert conversations into structured tasks with priorities, reminders, and owners.
Team Collaboration	Sync customer updates, task assignments, and knowledge in real time across teams.

Technology Stack

• Backend: Java 21 + Spring Boot 3.x + Spring AI + PostgreSQL + Redis + MinIO
• Frontend: Vue 3 + TypeScript + Element Plus + Tailwind CSS
• Deployment: Docker Compose with full production-ready environment setup

Screenshots

AI Assistant	Customer Profile

Task Management	Knowledge Base

Demo Scenarios

Sales Follow-Up

View daily priority customers, overdue tasks, and risk alerts at a glance. In customer details, AI summarizes records and follows history to suggest next best actions.

Supervisor Collaboration

Managers can identify stalled opportunities and overdue tasks quickly, then coordinate pre-sales, success, or executives at key points.

Customer Success

Customer success teams can proactively flag risk through interaction frequency and support issues, then arrange follow-ups and internal coordination before escalation.

Knowledge Reuse

Turn high-quality responses, templates, proposals, and winning patterns into reusable company knowledge. New team members can reuse proven wording and playbooks consistently.

System Architecture

AI Assistant connects customer management, knowledge retrieval, and task execution into one unified operating loop.

┌───────────────┐          ┌───────────────────┐
│    Frontend   │◀───────▶│  Backend Service  │
└───────────────┘          └─────────┬─────────┘
                                     │
         ┌───────────────┬───────────┴───────────┬───────────────┐
         │               │                       │               │
  ┌───────────────┐ ┌───────────────┐     ┌───────────────┐ ┌───────────────┐
  │ PostgreSQL DB  │ │     Redis     │     │     MinIO     │ │   AI Gateway  │
  └───────────────┘ └───────────────┘     └───────────────┘ └───────────────┘

Architecture

• Backend: Java 21, Spring Boot 3.x, Spring AI
• Frontend: Vue 3, TypeScript, Element Plus, Tailwind CSS, Vite
• Deployment: Docker Compose for one-click startup

Backend Tech Stack

Technology	Version	Purpose
Java	21	Programming Language
Spring Boot	3.3.12	Application Framework
Spring AI	1.0.0	AI/LLM Integration
PostgreSQL	17	Main Database
MyBatis-Plus	3.5.7	ORM Framework
Redis	-	Cache & Session
MinIO	-	Object Storage

Frontend Tech Stack

Technology	Version	Purpose
Vue	3.4	Frontend Framework
TypeScript	5.5	Type Safety
Element Plus	2.8	UI Library
Pinia	2.2	State Management
Tailwind CSS	3.4	Utility-first Styles
Vite	5.4	Build Tool

Project Structure

wk_ai_crm/
  backend/                 # Spring Boot backend project
    src/main/java/         # Java source
    src/main/resources/    # Config files
    pom.xml               # Maven config
  frontend/                # Vue frontend project
    src/                  # Frontend source
    package.json          # npm config
  docker/                  # Docker deployment files
    docker-compose.yaml   # Compose entry
  nginx/                   # Nginx config
  docs/                    # Docs
  LICENSE                  # License
  README.md                # Project README

Quick Start

We recommend Docker one-click deployment first. Use manual source installation for development.

Option 1: Docker One-Click Installation

Requirements:

• Docker
• Docker Compose

git clone https://github.com/WuKongOpenSource/Wukong-AICRM.git
cd Wukong-AICRM/docker
docker-compose up -d

Access the system at http://localhost.

Option 2: Local Source Installation

Requirements:

• JDK 21+
• Node.js 18+
• Maven 3.8+
• PostgreSQL 17
• Redis 6+

1. Clone the repository

git clone https://github.com/WuKongOpenSource/Wukong-AICRM.git
cd Wukong-AICRM

1. Start backend

cd backend
mvn clean install
mvn spring-boot:run

Backend runs at: http://localhost:8088
API docs: http://localhost:8088/doc.html

1. Start frontend

cd frontend
npm install
npm run dev

Frontend runs at: http://localhost:5173

Then update backend/src/main/resources/application.yml for database, AI key, and required services.

Configuration Guide

Primary configuration file: backend/src/main/resources/application.yml

Database

spring:
  datasource:
    url: jdbc:postgresql://localhost:5432/wk_ai_crm
    username: postgres
    password: your_password

Redis

spring:
  data:
    redis:
      host: localhost
      port: 6379
      password: your_password
      database: 7

AI Service

spring:
  ai:
    openai:
      api-key: your_api_key
      base-url: https://api.openai.com/v1/
      chat:
        options:
          model: gpt-4

MinIO

minio:
  enabled: true
  endpoint: http://localhost:9000
  access-key: minioadmin
  secret-key: minioadmin
  bucket: ai-crm

WeKnora

weknora:
  enabled: true
  base-url: http://localhost:8080/api/v1
  api-key: your_api_key
  knowledge-base-id: your_kb_id

API Docs

After the backend starts:

http://localhost:8088/doc.html

FAQ

Q: Which AI models are supported?
A: Any OpenAI-compatible API model is supported, including OpenAI GPT, DeepSeek, Ollama and others. Configure your model provider and API key in Backend -> System Settings -> API/AI.

Q: Is data safe for commercial use?
A: The system can be fully self-hosted. Customer, task, and interaction data are all stored in your own infrastructure.

Q: How to get help?
A: Use our Community Forum or create an issue in GitHub.

Roadmap

• AI assistant workflow enhancement
• More AI task automation and prioritization
• Automated AI email drafting
• OAuth-based external integrations
• Enhanced data migration tools
• More modules and performance upgrades

Welcome Contributions

• Report issues via GitHub Issues
• Submit pull requests
• Improve docs and translations
• Share ideas in the community

Useful Links

• Official Website: https://www.72crm.com/
• Product Site: https://www.72crm.ai/
• Download: https://www.wukongcrm.com/
• Forum: https://bbs.72crm.com/
• GitHub: https://github.com/WuKongOpenSource/Wukong-AICRM
• Gitee: https://gitee.com/organizations/wukongcrm/projects

License

Wukong AICRM source code is open for learning, research, evaluation, and non-commercial use. Commercial deployment, hosted services, commercial derivative products, plugin/agent marketplace collaboration, and brand usage require separate commercial authorization.

Please read LICENSE, LICENSE.en.md, NOTICE, and TRADEMARKS.md.

Contact Us

If you have suggestions or need enterprise support, you can contact us via Issue or pull request.