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memai — AI Context Builder

memai (memory AI) is a tool for creating structured context when working with AI agents. Instead of repeatedly explaining your preferences, work style, and requirements to an agent, you create a reusable configuration in JSON/YAML format.

🎯 Why Do You Need This?

• Consistency: AI agent always remembers your preferences and work style
• Efficiency: No need to repeat the same instructions in every chat
• Control: Explicit context structure instead of implicit prompts
• Reusability: One configuration for different AI systems (Claude, GPT, Gemini)

📚 Documentation

Basics

• Quick Start — get started in 5 minutes
• User Guide — complete user manual
• Configuration Format — configuration format specification

Architecture

• A0: High-Level Overview — high-level process diagram
• Detailed Algorithm — detailed workflow algorithm
• Schema Reference — JSON Schema specification

Development

• Development Setup — setting up development environment
• Project Structure — repository structure
• Implementation Plan — development roadmap (4 phases)

🚀 Quick Start

1. Open memai web-ui
2. Fill in configuration sections:
   • Profile — your role, language, technologies
   • Communication — communication style with AI
   • Problem Solving — approach to solving problems
   • Priorities — what matters in your work
   • Constraints — limitations and rules
   • Response Preferences — how AI should respond
   • Misalignment Log — common AI mistakes
3. Click Export and download configuration (JSON/YAML)
4. Attach the file to your chat with AI agent

🔗 Useful Links

• GitHub Repository
• Live Demo
• Implementation Plan
• Backend Architecture

📝 Notes

Project is under active development. Current version:

• Phase 1 (Complete): Local Storage, JSON Schema Validation
• Phase 2 (In Progress): FastAPI Backend
• Phase 3 (Planned): Frontend Integration
• Phase 4 (Planned): WebSocket Real-time Updates

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For contributors: see Development Setup and Project Structure