myAI Memory Sync

Tired of repeating yourself to Claude every time you start a new chat? myAI Memory Sync is a game-changing MCP tool that seamlessly synchronizes your preferences, personal details, and code standards across ALL your Claude interfaces! Just update once, and your changes instantly appear everywhere - from Claude Desktop to Claude Code, Windsurf, and Claude.ai web. With our cutting-edge caching system, memory-related queries are up to 2000x faster! Stop wasting tokens on repetitive instructions and enjoy a truly personalized AI experience.

How myAImemory-mcp Compares to Other Memory Tools

While several excellent memory tools exist for AI systems, myAImemory-mcp serves a specific purpose as a Model Context Protocol (MCP) tool:

Tool	Primary Focus	Privacy Model	Integration	Unique Strength
myAImemory-mcp	User preferences across Claude interfaces	Local-first, no data sent to external servers	Claude-specific MCP	Cross-platform synchronization with high-performance caching
Graphiti	Temporal knowledge graphs	Database-dependent	General agent framework	Temporal awareness in knowledge representation
Letta/MemGPT	Stateful agent framework	Server-based	Multi-model support	Complete agent architecture
Mem0	Personalized AI interactions	API-based	Multi-platform	Multi-level memory hierarchy
Memary	Human-like memory for agents	Graph database	Agent-focused	Human memory emulation
Cognee	Reliable memory for AI apps	Multiple storage options	Data pipeline focused	Extensive data source integration

Key Advantages of myAImemory-mcp:

Privacy-First: All data remains on your device, no personal information sent to external servers
Performance: Leverages Claude's caching capabilities for dramatic speed improvements
Simplicity: Natural language updates to your preferences across all Claude interfaces
MCP Integration: Purpose-built as a Claude MCP for seamless integration

🚀 Quick Start

# Clone repository
git clone https://github.com/Jktfe/myaimemory-mcp.git
cd myaimemory-mcp

# Install dependencies
npm install

# Build TypeScript code
npm run build

# Start MCP server (with stdio transport)
npm start

# Or start with HTTP transport
npm run start:http

🧠 Server Options

The unified server script supports multiple options:

# Start with stdio transport (default)
./start-server.sh

# Start with HTTP transport
./start-server.sh --http

# Start with HTTP transport on custom port
./start-server.sh --http --port=8080

# Start with direct implementation (no SDK)
./start-server.sh --direct

# Start with direct implementation and HTTP transport
./start-server.sh --direct --http

# Enable debug mode
./start-server.sh --debug

🔄 Direct Sync Method (Simple Alternative)

For a simpler approach that doesn't require running an MCP server, you can use the unified CLI:

# One-time sync of all memory files
npm run sync

# Or for emergency sync (fixes permissions)
npm run sync:emergency

This script will:

Read from your "myAI Master.md" file
Update all CLAUDE.md files in your projects
Update your Windsurf memory settings
All without storing sensitive information in the git repository

🔒 Privacy and Security

The "myAI Master.md" file with your personal information is excluded from git tracking
All CLAUDE.md files are also excluded to protect your privacy
Use the included .gitignore to ensure sensitive files remain private

🗣️ Supported Natural Language Commands

You can interact with myAI Memory using these natural language patterns:

Command Pattern	Example	Purpose
`Use myAI Memory to remember [information]`	"Use myAI Memory to remember I prefer TypeScript over JavaScript"	Adds information to the appropriate section based on content
`Remember that [information]`	"Remember that I live in London"	Shorter alternative to add information to memory
`Add to my memory that [information]`	"Add to my memory that I have two cars"	Another way to add information to memory
`Use myAI Memory to add to [section] [information]`	"Use myAI Memory to add to Coding Preferences I prefer dark mode"	Add information to a specific section
`Update my [section] to include that [information]`	"Update my User Information to include that my birthday is March 29"	Update a specific section with new information

Note: To perform a full sync across all platforms, use the command line: node sync-memory.js

You: Use myAI Memory to remember I prefer TypeScript over JavaScript
Claude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.

📋 Installation Options

Option 1: Direct Install (Recommended)

Install from npm:

npm install -g myai-memory-sync

Start the server:

# Start with stdio transport (default)
myai

# Start with HTTP transport
myai server --transport http

# Process memory commands
myai remember "I prefer dark mode"

# Sync across platforms
myai sync

Option 2: Run from Source

Clone and build from source:

git clone https://github.com/Jktfe/myaimemory-mcp.git
cd myaimemory-mcp
npm install
npm run build
npm start  # Start with stdio transport
# or
npm run start:http  # Start with HTTP transport

Option 3: Docker

Build and run with Docker:

docker build -t myai-memory-sync .
docker run -v myai-memory:/app/data -p 3000:3000 myai-memory-sync

🔌 MCP Configuration

Claude Desktop Configuration

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "myai-memory-sync": {
      "command": "npx",
      "args": [
        "-y",
        "myai"
      ],
      "env": {
        "TEMPLATE_PATH": "/path/to/custom/template.md",
        "ENABLE_ANTHROPIC": "true",
        "ANTHROPIC_API_KEY": "your-api-key-here"
      }
    }
  }
}

Claude.ai with Smithery

Visit Smithery.ai
Add the myAI Memory Sync MCP:
```
@Jktfe/myaimemory-mcp
```
Configure with your API key in the Smithery settings

Windsurf Integration

In Windsurf, add to your .codeium/config.json:

{
  "mcp": {
    "servers": {
      "myai-memory-sync": {
        "command": "npx",
        "args": [
          "-y",
          "myai"
        ]
      }
    }
  }
}

HTTP Server Mode

For HTTP transport instead of stdio:

# Using npm scripts:
npm run start:http

# Using the unified CLI:
myai server --transport http

# Using the shell script with custom port:
./start-server.sh --http --port=8080

# Using environment variable:
PORT=8080 npm run start:http

Environment Variables

Create a .env file with the following options:

# Basic configuration
DEBUG=true                      # Enable debug logging
TEMPLATE_PATH=./data/template.md  # Custom template location
PORT=3000                       # Port for HTTP transport (default: 3000)
USE_DIRECT=true                 # Use direct implementation (no SDK)

# Platform-specific paths
WINDSURF_MEMORY_PATH=~/.codeium/windsurf/memories/global_rules.md
CLAUDE_PROJECTS_PATH=~/CascadeProjects

# Performance optimization
ENABLE_ANTHROPIC=true           # Enable Anthropic API integration
ANTHROPIC_API_KEY=your-api-key  # Your Anthropic API key
ENABLE_PROMPT_CACHE=true        # Enable prompt caching system
CACHE_TTL=300000                # Cache TTL in milliseconds (5 minutes)

# Claude web sync (optional)
CLAUDE_WEB_SYNC_ENABLED=false   # Enable Claude.ai web synchronization
[email protected]  # Your Claude.ai email
CLAUDE_WEB_HEADLESS=true        # Run browser in headless mode

🧙‍♂️ System Prompt Integration

For best results, add this to your Claude system prompt:

Memory Integration Instructions:
When you receive a command that starts with "use myAI Memory to", you should:

1. Process the rest of the instruction as a memory management command
2. Try to determine the appropriate section to update based on the content
3. Use the myAI Memory Sync MCP to update your memory
4. Confirm the update with a brief acknowledgment

For example:
"use myAI Memory to remember I prefer dark mode" 
→ Update the preferences section with dark mode preference

When asked questions about preferences or personal information, first check your memory via the myAI Memory Sync MCP. Always reference information from memory rather than making assumptions.

✨ Features

🔄 Cross-Platform Synchronization: Update once, syncs everywhere
⚡ Lightning-Fast Recall: Caching system with up to 2000x performance boost
🗣️ Natural Language Interface: Just talk naturally to update your preferences
🧩 Multiple Persona Profiles: Switch between different presets with ease
🔐 Security-Focused: Local storage with .gitignore protection
🛠️ Developer-Friendly: Full TypeScript implementation with comprehensive API

🧩 Core Architecture

myAI Memory Sync uses a modular architecture with these key components:

Template Parser: Bidirectional conversion between structured memory objects and markdown
Template Storage: Persistent storage with in-memory and file-system caching
Platform Synchronizers: Implements the PlatformSyncer interface for each target platform
Natural Language Processor: Extracts structured data from natural language memory commands
Memory Cache Service: Optimizes performance with multi-level caching strategies

🔍 Detailed Features

Cross-Platform Synchronization

ClaudeCodeSyncer: Updates CLAUDE.md files across all repositories
WindsurfSyncer: Manages global_rules.md in Windsurf environment
ClaudeWebSyncer: Optional Puppeteer-based synchronization with Claude.ai web interface

Intelligent Memory Management

Pattern-Based Extraction: Converts natural language to structured key-value pairs
Section Detection Algorithm: Automatically determines appropriate section for new memories
Memory Template Format: Markdown-based structure with sections, descriptions, and key-value items
Context Preservation: Updates memory sections while preserving other template content

Performance Optimization

Multi-Level Caching: In-memory caching at both template and section levels
TTL-Based Cache Management: Configurable Time-To-Live for cached content
Pre-Warming: Cache pre-population after template updates
Optional Anthropic API Integration: Accelerates memory-related queries up to 2000x

Security

Local-First Architecture: All data remains on your device
Gitignore Management: Automatically adds CLAUDE.md to .gitignore in all repositories
File Permission Handling: Fixes permissions issues for maximum compatibility
Encrypted Storage: Compatible with encrypted file systems

📋 Memory Template Format

The system uses a structured markdown format to organize your preferences:

# myAI Memory

# User Information
## Use this information if you need to reference them directly
-~- Name: Your Name
-~- Location: Your Location
-~- Likes: Reading, Hiking, Technology

# General Response Style
## Use this in every response
-~- Style: Friendly and concise
-~- Use UK English Spellings: true
-~- Include emojis when appropriate: true

# Coding Preferences
## General Preference when responding to coding questions
-~- I prefer TypeScript over JavaScript
-~- Show step-by-step explanations

🛠️ Technical Implementation

MemoryTemplate Schema

interface MemoryTemplate {
  sections: TemplateSection[];
}

interface TemplateSection {
  title: string;
  description: string;
  items: TemplateItem[];
}

interface TemplateItem {
  key: string;
  value: string;
}

Platform Synchronization Interface

interface PlatformSyncer {
  sync(templateContent: string): Promise<SyncStatus>;
}

type PlatformType = 'claude-web' | 'claude-code' | 'windsurf' | 'master';

interface SyncStatus {
  platform: PlatformType;
  success: boolean;
  message: string;
}

🔌 MCP Integration API

The myAI Memory Sync tool implements the Model Context Protocol (MCP) with the following functions:

Function	Description	Parameters
`get_template`	Retrieves the full memory template	None
`get_section`	Retrieves a specific section	`sectionName: string`
`update_section`	Updates a specific section	`sectionName: string, content: string`
`update_template`	Replaces the entire template	`content: string`
`list_presets`	Lists available presets	None
`load_preset`	Loads a specific preset	`presetName: string`
`create_preset`	Creates a new preset	`presetName: string`
`sync_platforms`	Synchronizes across platforms	`platform?: string`
`list_platforms`	Lists available platforms	None

Natural Language Interface

Users can interact with the system through natural language commands:

You: Use myAI Memory to remember I prefer TypeScript over JavaScript
Claude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.

You: Use myAI Memory to load preset developer
Claude: ✅ Loaded developer preset! I'll now use your developer preferences.

🧙‍♂️ Advanced Usage

Memory Presets

Switch between different personas easily:

You: Use myAI Memory to list presets
Claude: Available presets: personal, work, developer

You: Use myAI Memory to load preset developer
Claude: ✅ Loaded developer preset!

Emergency Sync

When you need to fix synchronization issues across all platforms:

# Sync everything immediately
./emergency-sync.sh

Command Line Interface

# View all available commands
node dist/cli.js --help

# Process memory commands directly
node dist/cli.js --remember "remember I prefer dark mode"

# Start HTTP server for SSE transport
npm run start:http

# Start stdio server for MCP transport
npm run start

Development Workflow

# Run in development mode with auto-reload
npm run dev

# Run in development mode with HTTP server
npm run dev:http

# Watch TypeScript compilation
npm run build:watch

# Run tests
npm test

# Run specific test
npm test -- -t "platformSync"

# Lint code
npm run lint

# Type check without emitting files
npm run typecheck

⚡ Performance Benchmarks

Our caching system delivers incredible performance improvements:

Operation	Without Cache	With Cache	Improvement
Memory Query	~2000ms	~1ms	2000x
Section Lookup	~1600ms	~0.8ms	2000x
Template Parse	~120ms	~0.1ms	1200x
Platform Sync	~850ms	~350ms	2.4x

🔒 Security & Privacy

We take your privacy seriously:

All data remains locally on your device
CLAUDE.md files are automatically added to .gitignore
No data is sent to external servers (except when using the optional Anthropic API integration)
Works with encrypted file systems for maximum security

🛠️ Troubleshooting

Common Issues

CLAUDE.md Not Updating
- Check file permissions with ls -la CLAUDE.md
- Try emergency sync with ./emergency-sync.sh
- Verify platform paths in your .env file
MCP Connection Failures
- Ensure MCP server is running with ps aux | grep myai-memory
- Check Claude Desktop logs for MCP errors
- Verify your Claude Desktop configuration file
Caching Issues
- Clear cache with node dist/cli.js --clear-cache
- Verify Anthropic API key is correctly set
- Check memory file integrity with node dist/cli.js --validate
Natural Language Commands Not Working
- Make sure to use exactly one of the supported command patterns (see Supported Natural Language Commands section)
- If Claude doesn't recognize your command, try a different pattern
- For syncing across all platforms, use the direct script: node sync-memory.js

Manual Syncing

If you're experiencing issues with natural language commands or the MCP server:

# Direct sync approach (most reliable)
cd /path/to/myAImemory
node sync-memory.js

# Alternative emergency sync (if permissions need fixing)
cd /path/to/myAImemory
./safe-memory.sh sync

These methods directly read from your master file and update all platforms without relying on the MCP server or natural language processing.

Logs and Debugging

Enable debug mode to see detailed logs:

DEBUG=true npm run start

Log files are stored in:

Linux/macOS: ~/.local/share/myai-memory/logs/
Windows: %APPDATA%\myai-memory\logs\

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

We follow a standard Git workflow and CI process:

All PRs require passing tests and linting
New features should include tests
Major changes should update documentation
Follow existing code style and patterns

📚 Documentation

For more detailed documentation, see the Wiki.

API documentation is available in the /docs directory:

# Generate API documentation
npm run docs

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📬 Contact

Project Link: https://github.com/Jktfe/myaimemory-mcp

Made with ❤️ for the AI community