🧠 AI Memory Engine

Professional-grade persistent project memory for AI coding assistants - No more explaining the same codebase repeatedly.

🎯 Problem Solved

Current AI coding assistants suffer from "AI amnesia" - they forget your codebase context between conversations, forcing you to repeatedly explain the same code structure, dependencies, and patterns. AI Memory Engine solves this by providing persistent, local project memory.

💰 Pricing

🔥 One-Time Purchase: $99

• ✅ Individual developer license
• ✅ Node-locked to your machine
• ✅ 7-day free trial
• ✅ Lifetime updates
• ✅ Priority support
• ✅ No recurring payments ever
• ✅ Own it forever

✨ Features

• 🧠 Persistent Memory - Remembers your project structure across sessions
• 🔍 Smart Code Analysis - Extracts functions, classes, imports, and variables
• 🚀 Multi-Language Support - JavaScript, TypeScript, Python (more coming)
• 💻 Local-First - No cloud dependencies, works offline
• ⚡ Fast & Lightweight - Rust core for performance
• 🛠️ Developer-Friendly - Simple CLI interface
• 🔐 Professional Licensing - Enterprise-grade security and activation

🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/jahboukie/aimemoryengine.git
cd aimemoryengine

# Build the project
cargo build --release

# The binary will be available at target/release/aimemoryengine

License Activation

# Activate your license (required first step)
aimemoryengine license activate "your-license-key-here"

# Check license status
aimemoryengine license status

Usage

# Initialize memory tracking for your project
aimemoryengine init

# Analyze a specific file
aimemoryengine analyze src/main.js

# Check memory status
aimemoryengine status

# Query project context
aimemoryengine query "function"

# Reset project memory
aimemoryengine reset

📊 Example Output

$ aimemoryengine analyze src/components/App.js

🔬 Analyzing file: src/components/App.js

📊 Analysis Results:
Entities found: 4
Relationships found: 0

🔍 Entities:
  import react at line 1
  import useState at line 2
  class App at line 4
  function handleClick at line 12

🏗️ Architecture

• Core Engine (Rust) - High-performance memory management and code parsing
• CLI Interface (Node.js) - User-friendly command-line interface
• Local Storage - SQLite database for persistent memory (coming in Week 3)
• Parser Engine - Regex-based AST parsing (tree-sitter upgrade planned)

🧪 Testing

# Run all tests
cargo test

# Run specific test suite
cargo test -p memory-engine

Current Status: 8/8 tests passing ✅

🛣️ Roadmap

✅ Phase 1-2: Foundation (Complete)

• Core memory data structures
• Multi-language code parsing
• CLI interface
• Professional dependency management

🚧 Phase 3: Persistence (In Progress)

• SQLite integration
• Query optimization
• Memory persistence across sessions

📋 Phase 4: AI Integration

• REST API for AI assistants
• Context window optimization
• Learning from AI interactions

🤝 Contributing

We welcome contributions! This project is being developed using dogfooding - we use the memory engine to build itself.

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests: cargo test
5. Submit a pull request

📄 License

This software is licensed under a commercial license. Purchase required for production use.

Security: See SECURITY.md for detailed security information.

🎯 Target Audience

Built for serious developers who want AI assistants that actually understand their codebase. Perfect for:

• 🏢 Professional development teams
• 🚀 Startup engineers
• 🔬 Open source maintainers
• 💻 Individual developers working on complex projects

🔧 Development Status

Current Version: MVP (Minimum Viable Product)
Development Stage: Week 2 Complete, Week 3 In Progress
Stability: Alpha - suitable for testing and feedback

Built with ❤️ for developers who deserve better AI coding tools.