PromptX · Leading AI Agent Context Platform

✨ Chat is all you need - Revolutionary interaction design that turns AI agents into industry experts

Core Capabilities:AI Role Creation Platform | Intelligent Tool Development Platform | Cognitive Memory System

Based on MCP protocol, inject professional capabilities into Claude, Cursor and other AI applications with a single command

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User: "Show me what experts are available"
AI:   Instantly displays 23 available roles, from product managers to architects

User: "I need a product manager expert"
AI:   Instantly transforms into a professional product manager with complete knowledge and methodologies

User: "Help me redesign the product page"
AI:   Provides in-depth product strategy advice as a professional product manager

❌ Traditional approach:

• Learn complex instruction syntax
• Remember various parameter configurations
• Worry about saying the wrong thing and breaking functionality

✅ PromptX approach:

• Natural conversation like talking to a real expert
• Say what you want to say - AI understands your intent
• Expert state remains active throughout the conversation

Treat AI as a person, not software

No need for "correct commands" - just natural expression. AI will understand what expert you want and instantly switch identities.

For all users - One-click launch, zero configuration

1. Download Client - Supports Windows, Mac, Linux

2. Start HTTP Service - Open client, automatically runs MCP server

3. Configure AI Application - Add the following configuration to your Claude/Cursor or other AI tools:

   {
     "mcpServers": {
       "promptx": {
         "type": "streamable-http",
         "url": "http://127.0.0.1:5203/mcp"
       }
     }
   }

4. Start Chatting - Say "Show me available experts" in your AI application

✅ No technical background required ✅ Visual management ✅ Auto-updates

💡 Need help? Join our Discord Community for support and discussions!

Developers with Node.js environment can use directly:

{
  "mcpServers": {
    "promptx": {
      "command": "npx",
      "args": ["-y", "@promptx/mcp-server"]
    }
  }
}

Deploy PromptX with Docker for production environments:

docker run -d -p 5203:5203 -v ~/.promptx:/root/.promptx deepracticexs/promptx:latest

📚 Full Docker Documentation →

Have you ever wondered: What if I could customize a professional AI assistant for specific work scenarios? Nuwa makes this idea reality through meta-prompt technology.

"Nuwa is not an ordinary role template, but a thinking meta-prompt engine - understanding your needs, generating professional prompts, creating real AI experts."

• 🧠 Requirement Analysis: Nuwa's meta-prompts deeply understand your scenario needs and professional requirements
• 📝 Prompt Generation: Automatically builds complete prompt architecture conforming to DPML standards
• 🎭 Role Materialization: Transforms abstract needs into concrete executable AI expert roles
• ⚡ Instant Deployment: Generated prompts immediately convert to activatable PromptX roles
• 🔄 Continuous Optimization: Meta-prompts continuously evolve based on usage feedback

User: "I want Nuwa to help me create a Xiaohongshu marketing expert"
Nuwa: Immediately understands the need, asks about specific scenarios and requirements

User: "Mainly help me write Xiaohongshu copy, analyze trends, develop promotion strategies"  
Nuwa: Creates complete Xiaohongshu marketing expert role within 2 minutes

User: "Activate Xiaohongshu marketing expert"
AI:   Instantly transforms into professional Xiaohongshu marketing expert, providing professional advice

Nuwa represents a major breakthrough in prompt engineering - From static templates to dynamic generation:

• 🎯 Intelligent Understanding: Meta-prompts have comprehension abilities - not just text matching, but semantic analysis
• 📝 Dynamic Generation: Real-time prompt construction based on needs, each role is tailor-made
• 🧠 Structured Output: Ensures generated roles conform to DPML standards, guaranteeing professional quality
• 🔄 Self-Evolution: Meta-prompts continuously optimize generation strategies through usage feedback