[{"_1":2,"_391":-5,"_392":-5},"loaderData",{"_3":4,"_29":30,"_310":311},"root",{"_5":6,"_14":15},"toasts",[7],{"_8":9,"_10":11,"_12":13},"uid","019a2d2f-106c-72ff-aaff-364855915582","title","This MCP server does not support inspection","type","error","visitor",{"_16":17,"_18":19},"viewportWidth",1280,"visitorSession",{"_20":21,"_23":24,"_25":-5,"_26":27,"_28":-5},"attributes",[22],"bot","id",21005410,"membership","referenceId","019a17bf-377c-71fd-947e-fd17d1ca8e82","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_31":32,"_73":-5,"_74":33,"_34":75,"_227":228,"_309":210},"availableLocales",[33,45,52,59,66],{"_34":35,"_38":42,"_43":44},"mcpServer",{"_36":37,"_38":39,"_40":41},"description","An MCP tool that synchronizes user preferences, personal details, and code standards across multiple Claude interfaces, allowing users to maintain consistent personalized AI interactions without repeating themselves.","name","myAI Memory Sync","readme","# myAI Memory Sync\n\n[![smithery badge](https://smithery.ai/badge/@Jktfe/myaimemory-mcp)](https://smithery.ai/server/@Jktfe/myaimemory-mcp)\n\n**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.\n\n## How myAImemory-mcp Compares to Other Memory Tools\n\nWhile several excellent memory tools exist for AI systems, myAImemory-mcp serves a specific purpose as a Model Context Protocol (MCP) tool:\n\n| Tool | Primary Focus | Privacy Model | Integration | Unique Strength |\n|------|--------------|--------------|------------|----------------|\n| **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 |\n| Graphiti | Temporal knowledge graphs | Database-dependent | General agent framework | Temporal awareness in knowledge representation |\n| Letta/MemGPT | Stateful agent framework | Server-based | Multi-model support | Complete agent architecture |\n| Mem0 | Personalized AI interactions | API-based | Multi-platform | Multi-level memory hierarchy |\n| Memary | Human-like memory for agents | Graph database | Agent-focused | Human memory emulation |\n| Cognee | Reliable memory for AI apps | Multiple storage options | Data pipeline focused | Extensive data source integration |\n\n**Key Advantages of myAImemory-mcp:**\n- **Privacy-First**: All data remains on your device, no personal information sent to external servers\n- **Performance**: Leverages Claude's caching capabilities for dramatic speed improvements\n- **Simplicity**: Natural language updates to your preferences across all Claude interfaces\n- **MCP Integration**: Purpose-built as a Claude MCP for seamless integration\n\n## 🚀 Quick Start\n\n```bash\n# Clone repository\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\n\n# Install dependencies\nnpm install\n\n# Build TypeScript code\nnpm run build\n\n# Start MCP server\n./start-memory-sync.sh\n```\n\n### 🔄 Direct Sync Method (Simple Alternative)\n\nFor a simpler approach that doesn't require running an MCP server, you can use the standalone sync script:\n\n```bash\n# One-time sync of all memory files\nnode sync-memory.js\n```\n\nThis script will:\n- Read from your \"myAI Master.md\" file\n- Update all CLAUDE.md files in your projects\n- Update your Windsurf memory settings\n- All without storing sensitive information in the git repository\n\n### 🔒 Privacy and Security\n\n- The \"myAI Master.md\" file with your personal information is excluded from git tracking\n- All CLAUDE.md files are also excluded to protect your privacy\n- Use the included `.gitignore` to ensure sensitive files remain private\n\nThen in Claude, just say:\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n```\n\n## 📋 Installation Options\n\n### Option 1: Direct Install (Recommended)\n\nInstall from npm:\n\n```bash\nnpm install -g myai-memory-sync\n```\n\nStart the server:\n\n```bash\nmyai-memory-sync\n```\n\n### Option 2: Run from Source\n\nClone and build from source:\n\n```bash\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\nnpm install\nnpm run build\nnpm start\n```\n\n### Option 3: Docker\n\nBuild and run with Docker:\n\n```bash\ndocker build -t myai-memory-sync .\ndocker run -v myai-memory:/app/data -p 3000:3000 myai-memory-sync\n```\n\n## 🔌 MCP Configuration\n\n### Claude Desktop Configuration\n\nAdd this to your `claude_desktop_config.json`:\n\n```json\n{\n \"mcpServers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ],\n \"env\": {\n \"TEMPLATE_PATH\": \"/path/to/custom/template.md\",\n \"ENABLE_ANTHROPIC\": \"true\",\n \"ANTHROPIC_API_KEY\": \"your-api-key-here\"\n }\n }\n }\n}\n```\n\n### Claude.ai with Smithery\n\n1. Visit [Smithery.ai](https://smithery.ai)\n2. Add the myAI Memory Sync MCP:\n ```\n @Jktfe/myaimemory-mcp\n ```\n3. Configure with your API key in the Smithery settings\n\n### Windsurf Integration\n\nIn Windsurf, add to your `.codeium/config.json`:\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ]\n }\n }\n }\n}\n```\n\n### HTTP Server Mode\n\nFor HTTP transport instead of stdio:\n\n```bash\n# Start HTTP server on port 3000\nnpm run start:http\n\n# Or specify a custom port\nPORT=8080 npm run start:http\n```\n\n### Environment Variables\n\nCreate a `.env` file with the following options:\n```\n# Basic configuration\nDEBUG=true # Enable debug logging\nTEMPLATE_PATH=./data/template.md # Custom template location\n\n# Platform-specific paths\nWINDSURF_MEMORY_PATH=~/.codeium/windsurf/memories/global_rules.md\nCLAUDE_PROJECTS_PATH=~/CascadeProjects\n\n# Performance optimization\nENABLE_ANTHROPIC=true # Enable Anthropic API integration\nANTHROPIC_API_KEY=your-api-key # Your Anthropic API key\nENABLE_PROMPT_CACHE=true # Enable prompt caching system\nCACHE_TTL=300000 # Cache TTL in milliseconds (5 minutes)\n\n# Claude web sync (optional)\nCLAUDE_WEB_SYNC_ENABLED=false # Enable Claude.ai web synchronization\nCLAUDE_WEB_EMAIL=you@email.com # Your Claude.ai email\nCLAUDE_WEB_HEADLESS=true # Run browser in headless mode\n```\n\n## 🧙‍♂️ System Prompt Integration\n\nFor best results, add this to your Claude system prompt:\n\n```\nMemory Integration Instructions:\nWhen you receive a command that starts with \"use myAI Memory to\", you should:\n\n1. Process the rest of the instruction as a memory management command\n2. Try to determine the appropriate section to update based on the content\n3. Use the myAI Memory Sync MCP to update your memory\n4. Confirm the update with a brief acknowledgment\n\nFor example:\n\"use myAI Memory to remember I prefer dark mode\" \n→ Update the preferences section with dark mode preference\n\nWhen 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.\n```\n\n## ✨ Features\n\n- 🔄 **Cross-Platform Synchronization**: Update once, syncs everywhere\n- ⚡ **Lightning-Fast Recall**: Caching system with up to 2000x performance boost\n- 🗣️ **Natural Language Interface**: Just talk naturally to update your preferences\n- 🧩 **Multiple Persona Profiles**: Switch between different presets with ease\n- 🔐 **Security-Focused**: Local storage with .gitignore protection\n- 🛠️ **Developer-Friendly**: Full TypeScript implementation with comprehensive API\n\n## 🧩 Core Architecture\n\nmyAI Memory Sync uses a modular architecture with these key components:\n\n- **Template Parser**: Bidirectional conversion between structured memory objects and markdown\n- **Template Storage**: Persistent storage with in-memory and file-system caching\n- **Platform Synchronizers**: Implements the `PlatformSyncer` interface for each target platform\n- **Natural Language Processor**: Extracts structured data from natural language memory commands\n- **Memory Cache Service**: Optimizes performance with multi-level caching strategies\n\n## 🔍 Detailed Features\n\n### Cross-Platform Synchronization\n- **ClaudeCodeSyncer**: Updates CLAUDE.md files across all repositories\n- **WindsurfSyncer**: Manages global_rules.md in Windsurf environment\n- **ClaudeWebSyncer**: Optional Puppeteer-based synchronization with Claude.ai web interface\n\n### Intelligent Memory Management\n- **Pattern-Based Extraction**: Converts natural language to structured key-value pairs\n- **Section Detection Algorithm**: Automatically determines appropriate section for new memories\n- **Memory Template Format**: Markdown-based structure with sections, descriptions, and key-value items\n- **Context Preservation**: Updates memory sections while preserving other template content\n\n### Performance Optimization\n- **Multi-Level Caching**: In-memory caching at both template and section levels\n- **TTL-Based Cache Management**: Configurable Time-To-Live for cached content\n- **Pre-Warming**: Cache pre-population after template updates\n- **Optional Anthropic API Integration**: Accelerates memory-related queries up to 2000x\n\n### Security\n- **Local-First Architecture**: All data remains on your device\n- **Gitignore Management**: Automatically adds CLAUDE.md to .gitignore in all repositories\n- **File Permission Handling**: Fixes permissions issues for maximum compatibility\n- **Encrypted Storage**: Compatible with encrypted file systems\n\n## 📋 Memory Template Format\n\nThe system uses a structured markdown format to organize your preferences:\n\n```markdown\n# myAI Memory\n\n# User Information\n## Use this information if you need to reference them directly\n-~- Name: Your Name\n-~- Location: Your Location\n-~- Likes: Reading, Hiking, Technology\n\n# General Response Style\n## Use this in every response\n-~- Style: Friendly and concise\n-~- Use UK English Spellings: true\n-~- Include emojis when appropriate: true\n\n# Coding Preferences\n## General Preference when responding to coding questions\n-~- I prefer TypeScript over JavaScript\n-~- Show step-by-step explanations\n```\n\n## 🛠️ Technical Implementation\n\n### MemoryTemplate Schema\n```typescript\ninterface MemoryTemplate {\n sections: TemplateSection[];\n}\n\ninterface TemplateSection {\n title: string;\n description: string;\n items: TemplateItem[];\n}\n\ninterface TemplateItem {\n key: string;\n value: string;\n}\n```\n\n### Platform Synchronization Interface\n```typescript\ninterface PlatformSyncer {\n sync(templateContent: string): Promise;\n}\n\ntype PlatformType = 'claude-web' | 'claude-code' | 'windsurf' | 'master';\n\ninterface SyncStatus {\n platform: PlatformType;\n success: boolean;\n message: string;\n}\n```\n\n## 🔌 MCP Integration API\n\nThe myAI Memory Sync tool implements the Model Context Protocol (MCP) with the following functions:\n\n| Function | Description | Parameters |\n|----------|-------------|------------|\n| `get_template` | Retrieves the full memory template | None |\n| `get_section` | Retrieves a specific section | `sectionName: string` |\n| `update_section` | Updates a specific section | `sectionName: string, content: string` |\n| `update_template` | Replaces the entire template | `content: string` |\n| `list_presets` | Lists available presets | None |\n| `load_preset` | Loads a specific preset | `presetName: string` |\n| `create_preset` | Creates a new preset | `presetName: string` |\n| `sync_platforms` | Synchronizes across platforms | `platform?: string` |\n| `list_platforms` | Lists available platforms | None |\n\n### Natural Language Interface\n\nUsers can interact with the system through natural language commands:\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset! I'll now use your developer preferences.\n```\n\n## 🧙‍♂️ Advanced Usage\n\n### Memory Presets\n\nSwitch between different personas easily:\n\n```\nYou: Use myAI Memory to list presets\nClaude: Available presets: personal, work, developer\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset!\n```\n\n### Emergency Sync\n\nWhen you need to fix synchronization issues across all platforms:\n\n```bash\n# Sync everything immediately\n./emergency-sync.sh\n```\n\n### Command Line Interface\n\n```bash\n# View all available commands\nnode dist/cli.js --help\n\n# Process memory commands directly\nnode dist/cli.js --remember \"remember I prefer dark mode\"\n\n# Start HTTP server for SSE transport\nnpm run start:http\n\n# Start stdio server for MCP transport\nnpm run start\n```\n\n### Development Workflow\n\n```bash\n# Run in development mode with auto-reload\nnpm run dev\n\n# Run in development mode with HTTP server\nnpm run dev:http\n\n# Watch TypeScript compilation\nnpm run build:watch\n\n# Run tests\nnpm test\n\n# Run specific test\nnpm test -- -t \"platformSync\"\n\n# Lint code\nnpm run lint\n\n# Type check without emitting files\nnpm run typecheck\n```\n\n## ⚡ Performance Benchmarks\n\nOur caching system delivers incredible performance improvements:\n\n| Operation | Without Cache | With Cache | Improvement |\n|-----------|---------------|------------|-------------|\n| Memory Query | ~2000ms | ~1ms | 2000x |\n| Section Lookup | ~1600ms | ~0.8ms | 2000x |\n| Template Parse | ~120ms | ~0.1ms | 1200x |\n| Platform Sync | ~850ms | ~350ms | 2.4x |\n\n\n\n## 🔒 Security & Privacy\n\nWe take your privacy seriously:\n\n- All data remains locally on your device\n- CLAUDE.md files are automatically added to .gitignore\n- No data is sent to external servers (except when using the optional Anthropic API integration)\n- Works with encrypted file systems for maximum security\n\n## 🛠️ Troubleshooting\n\n### Common Issues\n\n1. **CLAUDE.md Not Updating**\n - Check file permissions with `ls -la CLAUDE.md`\n - Try emergency sync with `./emergency-sync.sh`\n - Verify platform paths in your `.env` file\n\n2. **MCP Connection Failures**\n - Ensure MCP server is running with `ps aux | grep myai-memory`\n - Check Claude Desktop logs for MCP errors\n - Verify your Claude Desktop configuration file\n\n3. **Caching Issues**\n - Clear cache with `node dist/cli.js --clear-cache`\n - Verify Anthropic API key is correctly set\n - Check memory file integrity with `node dist/cli.js --validate`\n\n### Logs and Debugging\n\nEnable debug mode to see detailed logs:\n\n```bash\nDEBUG=true npm run start\n```\n\nLog files are stored in:\n- Linux/macOS: `~/.local/share/myai-memory/logs/`\n- Windows: `%APPDATA%\\myai-memory\\logs\\`\n\n## 🤝 Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add some amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\nWe follow a standard Git workflow and CI process:\n\n- All PRs require passing tests and linting\n- New features should include tests\n- Major changes should update documentation\n- Follow existing code style and patterns\n\n## 📚 Documentation\n\nFor more detailed documentation, see the [Wiki](https://github.com/Jktfe/myaimemory-mcp/wiki).\n\nAPI documentation is available in the `/docs` directory:\n\n```bash\n# Generate API documentation\nnpm run docs\n```\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 📬 Contact\n\nProject Link: [https://github.com/Jktfe/myaimemory-mcp](https://github.com/Jktfe/myaimemory-mcp)\n\n---\n\n

\n Made with ❤️ for the AI community\n

","English","tag","en-US",{"_34":46,"_38":50,"_43":51},{"_36":47,"_38":48,"_40":49},"Una herramienta MCP que sincroniza las preferencias del usuario, los detalles personales y los estándares de código en múltiples interfaces de Claude, lo que permite a los usuarios mantener interacciones de IA personalizadas y consistentes sin repetirse.","Sincronización de memoria myAI","# Sincronización de memoria myAI\n\n[![insignia de herrería](https://smithery.ai/badge/@Jktfe/myaimemory-mcp)](https://smithery.ai/server/@Jktfe/myaimemory-mcp)\n\n**¿Cansado de repetirle lo mismo a Claude cada vez que inicias un nuevo chat?** myAI Memory Sync es una revolucionaria herramienta MCP que sincroniza a la perfección tus preferencias, información personal y estándares de código en todas tus interfaces de Claude. Con solo una actualización, tus cambios aparecerán al instante en todas partes: desde Claude Desktop hasta Claude Code, Windsurf y la web de Claude.ai. ¡Con nuestro innovador sistema de caché, las consultas relacionadas con la memoria son hasta 2000 veces más rápidas! Deja de malgastar tokens en instrucciones repetitivas y disfruta de una experiencia de IA verdaderamente personalizada.\n\n## Cómo se compara myAImemory-mcp con otras herramientas de memoria\n\nSi bien existen varias herramientas de memoria excelentes para sistemas de IA, myAImemory-mcp tiene un propósito específico como herramienta de Protocolo de Contexto de Modelo (MCP):\n\n| Herramienta | Enfoque principal | Modelo de privacidad | Integración | Fuerza única |\n| ------------------ | ---------------------------------------------------- | ------------------------------------------------------- | -------------------------------------------- | ------------------------------------------------------------------------------ |\n| **miAImemory-mcp** | Preferencias del usuario en las interfaces de Claude | Local primero, no se envían datos a servidores externos | MCP específico de Claude | Sincronización multiplataforma con almacenamiento en caché de alto rendimiento |\n| Grafiti | Gráficos de conocimiento temporal | dependiente de la base de datos | Marco del agente general | Conciencia temporal en la representación del conocimiento |\n| Letta/MemGPT | Marco de agente con estado | Basado en servidor | Soporte multimodelo | Arquitectura completa del agente |\n| Mem0 | Interacciones de IA personalizadas | Basado en API | Multiplataforma | Jerarquía de memoria de múltiples niveles |\n| Memoria | Memoria similar a la humana para agentes | Base de datos de gráficos | Centrado en el agente | Emulación de la memoria humana |\n| Cognee | Memoria confiable para aplicaciones de IA | Múltiples opciones de almacenamiento | Canalización de datos centrada en el cliente | Amplia integración de fuentes de datos |\n\n**Ventajas clave de myAImemory-mcp:**\n\n* **Privacidad primero** : todos los datos permanecen en su dispositivo y no se envía información personal a servidores externos.\n* **Rendimiento** : aprovecha las capacidades de almacenamiento en caché de Claude para lograr mejoras de velocidad espectaculares\n* **Simplicidad** : actualizaciones de lenguaje natural según sus preferencias en todas las interfaces de Claude\n* **Integración MCP** : Diseñado específicamente como un MCP de Claude para una integración perfecta\n\n## 🚀 Inicio rápido\n\n```bash\n# Clone repository\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\n\n# Install dependencies\nnpm install\n\n# Build TypeScript code\nnpm run build\n\n# Start MCP server\n./start-memory-sync.sh\n```\n\n### Método de sincronización directa (alternativa sencilla)\n\nPara un enfoque más simple que no requiere ejecutar un servidor MCP, puede utilizar el script de sincronización independiente:\n\n```bash\n# One-time sync of all memory files\nnode sync-memory.js\n```\n\nEste script hará lo siguiente:\n\n* Lea desde su archivo \"myAI Master.md\"\n* Actualice todos los archivos CLAUDE.md en sus proyectos\n* Actualiza la configuración de memoria de tu Windsurf\n* Todo sin almacenar información confidencial en el repositorio git\n\n### 🔒 Privacidad y seguridad\n\n* El archivo \"myAI Master.md\" con su información personal está excluido del seguimiento de Git\n* Todos los archivos CLAUDE.md también están excluidos para proteger su privacidad.\n* Utilice el `.gitignore` incluido para garantizar que los archivos confidenciales permanezcan privados\n\nLuego en Claude, simplemente di:\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n```\n\n## 📋 Opciones de instalación\n\n### Opción 1: Instalación directa (recomendada)\n\nInstalar desde npm:\n\n```bash\nnpm install -g myai-memory-sync\n```\n\nIniciar el servidor:\n\n```bash\nmyai-memory-sync\n```\n\n### Opción 2: Ejecutar desde la fuente\n\nClonar y compilar desde la fuente:\n\n```bash\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\nnpm install\nnpm run build\nnpm start\n```\n\n### Opción 3: Docker\n\nConstruir y ejecutar con Docker:\n\n```bash\ndocker build -t myai-memory-sync .\ndocker run -v myai-memory:/app/data -p 3000:3000 myai-memory-sync\n```\n\n## 🔌 Configuración de MCP\n\n### Configuración del escritorio de Claude\n\nAgregue esto a su `claude_desktop_config.json` :\n\n```json\n{\n \"mcpServers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ],\n \"env\": {\n \"TEMPLATE_PATH\": \"/path/to/custom/template.md\",\n \"ENABLE_ANTHROPIC\": \"true\",\n \"ANTHROPIC_API_KEY\": \"your-api-key-here\"\n }\n }\n }\n}\n```\n\n### Claude.ai con Smithery\n\n1. Visita [Smithery.ai](https://smithery.ai)\n\n2. Agregue el MCP de sincronización de memoria myAI:\n\n ```\n @Jktfe/myaimemory-mcp\n ```\n\n3. Configure con su clave API en la configuración de Smithery\n\n### Integración de windsurf\n\nEn Windsurf, agregue a su `.codeium/config.json` :\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ]\n }\n }\n }\n}\n```\n\n### Modo de servidor HTTP\n\nPara el transporte HTTP en lugar de stdio:\n\n```bash\n# Start HTTP server on port 3000\nnpm run start:http\n\n# Or specify a custom port\nPORT=8080 npm run start:http\n```\n\n### Variables de entorno\n\nCrea un archivo `.env` con las siguientes opciones:\n\n```\n# Basic configuration\nDEBUG=true # Enable debug logging\nTEMPLATE_PATH=./data/template.md # Custom template location\n\n# Platform-specific paths\nWINDSURF_MEMORY_PATH=~/.codeium/windsurf/memories/global_rules.md\nCLAUDE_PROJECTS_PATH=~/CascadeProjects\n\n# Performance optimization\nENABLE_ANTHROPIC=true # Enable Anthropic API integration\nANTHROPIC_API_KEY=your-api-key # Your Anthropic API key\nENABLE_PROMPT_CACHE=true # Enable prompt caching system\nCACHE_TTL=300000 # Cache TTL in milliseconds (5 minutes)\n\n# Claude web sync (optional)\nCLAUDE_WEB_SYNC_ENABLED=false # Enable Claude.ai web synchronization\nCLAUDE_WEB_EMAIL=you@email.com # Your Claude.ai email\nCLAUDE_WEB_HEADLESS=true # Run browser in headless mode\n```\n\n## 🧙‍♂️ Integración de indicaciones del sistema\n\nPara obtener mejores resultados, agregue esto al mensaje del sistema Claude:\n\n```\nMemory Integration Instructions:\nWhen you receive a command that starts with \"use myAI Memory to\", you should:\n\n1. Process the rest of the instruction as a memory management command\n2. Try to determine the appropriate section to update based on the content\n3. Use the myAI Memory Sync MCP to update your memory\n4. Confirm the update with a brief acknowledgment\n\nFor example:\n\"use myAI Memory to remember I prefer dark mode\" \n→ Update the preferences section with dark mode preference\n\nWhen 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.\n```\n\n## ✨ Características\n\n* 🔄 **Sincronización entre plataformas** : se actualiza una vez y se sincroniza en todas partes\n* ⚡ **Recuperación ultrarrápida** : sistema de almacenamiento en caché con un aumento de rendimiento de hasta 2000 veces\n* 🗣️ **Interfaz de lenguaje natural** : simplemente habla con naturalidad para actualizar tus preferencias\n* 🧩 **Múltiples perfiles de persona** : cambia entre diferentes ajustes preestablecidos con facilidad\n* 🔐 **Centrado en la seguridad** : almacenamiento local con protección .gitignore\n* 🛠️ **Fácil de usar para desarrolladores** : implementación completa de TypeScript con API integral\n\n## 🧩 Arquitectura central\n\nmyAI Memory Sync utiliza una arquitectura modular con estos componentes clave:\n\n* **Analizador de plantillas** : conversión bidireccional entre objetos de memoria estructurada y Markdown\n* **Almacenamiento de plantillas** : almacenamiento persistente con caché en memoria y sistema de archivos\n* **Sincronizadores de plataforma** : implementa la interfaz `PlatformSyncer` para cada plataforma de destino\n* **Procesador de lenguaje natural** : extrae datos estructurados de los comandos de memoria de lenguaje natural\n* **Servicio de caché de memoria** : optimiza el rendimiento con estrategias de almacenamiento en caché de varios niveles\n\n## 🔍 Características detalladas\n\n### Sincronización entre plataformas\n\n* **ClaudeCodeSyncer** : actualiza los archivos CLAUDE.md en todos los repositorios\n* **WindsurfSyncer** : administra global\\_rules.md en el entorno de Windsurf\n* **ClaudeWebSyncer** : sincronización opcional basada en Puppeteer con la interfaz web de Claude.ai\n\n### Gestión inteligente de memoria\n\n* **Extracción basada en patrones** : convierte el lenguaje natural en pares clave-valor estructurados\n* **Algoritmo de detección de sección** : determina automáticamente la sección apropiada para nuevas memorias\n* **Formato de plantilla de memoria** : Estructura basada en Markdown con secciones, descripciones y elementos clave-valor\n* **Preservación del contexto** : actualiza las secciones de memoria mientras conserva el resto del contenido de la plantilla\n\n### Optimización del rendimiento\n\n* **Almacenamiento en caché de varios niveles** : almacenamiento en caché en memoria tanto a nivel de plantilla como de sección\n* **Gestión de caché basada en TTL** : tiempo de vida configurable para el contenido almacenado en caché\n* **Precalentamiento** : precarga de caché después de las actualizaciones de plantillas\n* **Integración de API antrópica opcional** : acelera las consultas relacionadas con la memoria hasta 2000 veces\n\n### Seguridad\n\n* **Arquitectura local primero** : todos los datos permanecen en su dispositivo\n* **Gestión de Gitignore** : agrega automáticamente CLAUDE.md a .gitignore en todos los repositorios\n* **Manejo de permisos de archivos** : corrige problemas de permisos para lograr la máxima compatibilidad\n* **Almacenamiento cifrado** : compatible con sistemas de archivos cifrados\n\n## Formato de plantilla de memoria\n\nEl sistema utiliza un formato de rebajas estructurado para organizar sus preferencias:\n\n```markdown\n# myAI Memory\n\n# User Information\n## Use this information if you need to reference them directly\n-~- Name: Your Name\n-~- Location: Your Location\n-~- Likes: Reading, Hiking, Technology\n\n# General Response Style\n## Use this in every response\n-~- Style: Friendly and concise\n-~- Use UK English Spellings: true\n-~- Include emojis when appropriate: true\n\n# Coding Preferences\n## General Preference when responding to coding questions\n-~- I prefer TypeScript over JavaScript\n-~- Show step-by-step explanations\n```\n\n## 🛠️ Implementación técnica\n\n### Esquema de plantilla de memoria\n\n```typescript\ninterface MemoryTemplate {\n sections: TemplateSection[];\n}\n\ninterface TemplateSection {\n title: string;\n description: string;\n items: TemplateItem[];\n}\n\ninterface TemplateItem {\n key: string;\n value: string;\n}\n```\n\n### Interfaz de sincronización de plataformas\n\n```typescript\ninterface PlatformSyncer {\n sync(templateContent: string): Promise;\n}\n\ntype PlatformType = 'claude-web' | 'claude-code' | 'windsurf' | 'master';\n\ninterface SyncStatus {\n platform: PlatformType;\n success: boolean;\n message: string;\n}\n```\n\n## 🔌 API de integración de MCP\n\nLa herramienta myAI Memory Sync implementa el Protocolo de Contexto de Modelo (MCP) con las siguientes funciones:\n\n| Función | Descripción | Parámetros |\n| ----------------- | ----------------------------------------------- | -------------------------------------- |\n| `get_template` | Recupera la plantilla de memoria completa | Ninguno |\n| `get_section` | Recupera una sección específica | `sectionName: string` |\n| `update_section` | Actualiza una sección específica | `sectionName: string, content: string` |\n| `update_template` | Reemplaza toda la plantilla | `content: string` |\n| `list_presets` | Enumera los ajustes preestablecidos disponibles | Ninguno |\n| `load_preset` | Carga un ajuste preestablecido específico | `presetName: string` |\n| `create_preset` | Crea un nuevo ajuste preestablecido | `presetName: string` |\n| `sync_platforms` | Se sincroniza entre plataformas | `platform?: string` |\n| `list_platforms` | Enumera las plataformas disponibles | Ninguno |\n\n### Interfaz de lenguaje natural\n\nLos usuarios pueden interactuar con el sistema a través de comandos en lenguaje natural:\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset! I'll now use your developer preferences.\n```\n\n## 🧙‍♂️ Uso avanzado\n\n### Ajustes preestablecidos de memoria\n\nCambia entre diferentes personajes fácilmente:\n\n```\nYou: Use myAI Memory to list presets\nClaude: Available presets: personal, work, developer\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset!\n```\n\n### Sincronización de emergencia\n\nCuando necesite solucionar problemas de sincronización en todas las plataformas:\n\n```bash\n# Sync everything immediately\n./emergency-sync.sh\n```\n\n### Interfaz de línea de comandos\n\n```bash\n# View all available commands\nnode dist/cli.js --help\n\n# Process memory commands directly\nnode dist/cli.js --remember \"remember I prefer dark mode\"\n\n# Start HTTP server for SSE transport\nnpm run start:http\n\n# Start stdio server for MCP transport\nnpm run start\n```\n\n### Flujo de trabajo de desarrollo\n\n```bash\n# Run in development mode with auto-reload\nnpm run dev\n\n# Run in development mode with HTTP server\nnpm run dev:http\n\n# Watch TypeScript compilation\nnpm run build:watch\n\n# Run tests\nnpm test\n\n# Run specific test\nnpm test -- -t \"platformSync\"\n\n# Lint code\nnpm run lint\n\n# Type check without emitting files\nnpm run typecheck\n```\n\n## ⚡ Puntos de referencia de rendimiento\n\nNuestro sistema de almacenamiento en caché ofrece increíbles mejoras de rendimiento:\n\n| Operación | Sin caché | Con caché | Mejora |\n| ---------------------------- | --------- | --------- | ------ |\n| Consulta de memoria | ~2000 ms | ~1 ms | 2000x |\n| Búsqueda de sección | ~1600 ms | ~0,8 ms | 2000x |\n| Análisis de plantillas | ~120 ms | ~0,1 ms | 1200x |\n| Sincronización de plataforma | ~850 ms | ~350 ms | 2,4x |\n\n## 🔒 Seguridad y privacidad\n\nNos tomamos su privacidad muy en serio:\n\n* Todos los datos permanecen localmente en su dispositivo\n* Los archivos CLAUDE.md se agregan automáticamente a .gitignore\n* No se envían datos a servidores externos (excepto cuando se utiliza la integración opcional de API Anthropic)\n* Funciona con sistemas de archivos cifrados para máxima seguridad.\n\n## 🛠️ Solución de problemas\n\n### Problemas comunes\n\n1. **CLAUDE.md no se actualiza**\n\n * Compruebe los permisos de archivo con `ls -la CLAUDE.md`\n * Pruebe la sincronización de emergencia con `./emergency-sync.sh`\n * Verifique las rutas de la plataforma en su archivo `.env`\n\n2. **Fallas de conexión MCP**\n\n * Asegúrese de que el servidor MCP se esté ejecutando con `ps aux | grep myai-memory`\n * Consulte los registros de Claude Desktop para detectar errores de MCP\n * Verifique su archivo de configuración de Claude Desktop\n\n3. **Problemas de almacenamiento en caché**\n\n * Limpiar la caché con `node dist/cli.js --clear-cache`\n * Verifique que la clave API de Anthropic esté configurada correctamente\n * Verifique la integridad del archivo de memoria con `node dist/cli.js --validate`\n\n### Registros y depuración\n\nHabilite el modo de depuración para ver registros detallados:\n\n```bash\nDEBUG=true npm run start\n```\n\nLos archivos de registro se almacenan en:\n\n* Linux/macOS: `~/.local/share/myai-memory/logs/`\n* Ventanas: `%APPDATA%\\myai-memory\\logs\\`\n\n## 🤝 Contribuyendo\n\n¡Agradecemos sus contribuciones! No dude en enviar una solicitud de incorporación de cambios.\n\n1. Bifurcar el repositorio\n2. Crea tu rama de funciones ( `git checkout -b feature/amazing-feature` )\n3. Confirme sus cambios ( `git commit -m 'Add some amazing feature'` )\n4. Empujar a la rama ( `git push origin feature/amazing-feature` )\n5. Abrir una solicitud de extracción\n\nSeguimos un flujo de trabajo Git estándar y un proceso CI:\n\n* Todas las relaciones públicas requieren pasar pruebas y pelusas\n* Las nuevas funciones deberían incluir pruebas\n* Los cambios importantes deberían actualizar la documentación\n* Seguir el estilo y los patrones de código existentes\n\n## 📚 Documentación\n\nPara obtener documentación más detallada, consulte la [Wiki](https://github.com/Jktfe/myaimemory-mcp/wiki) .\n\nLa documentación de la API está disponible en el directorio `/docs` :\n\n```bash\n# Generate API documentation\nnpm run docs\n```\n\n## 📄 Licencia\n\nEste proyecto está licenciado bajo la licencia MIT: consulte el archivo [de LICENCIA](LICENSE) para obtener más detalles.\n\n## 📬 Contacto\n\nEnlace del proyecto: \n\n***","Spanish","es-ES",{"_34":53,"_38":57,"_43":58},{"_36":54,"_38":55,"_40":56},"複数の Claude インターフェース間でユーザーの設定、個人情報、コード標準を同期する MCP ツール。これにより、ユーザーは同じ操作を繰り返すことなく、一貫したパーソナライズされた AI インタラクションを維持できます。","myAI メモリ同期","# myAI メモリ同期\n\n[![鍛冶屋のバッジ](https://smithery.ai/badge/@Jktfe/myaimemory-mcp)](https://smithery.ai/server/@Jktfe/myaimemory-mcp)\n\n**新しいチャットを始めるたびに、Claudeに同じことを何度も繰り返すのはうんざりしていませんか？** myAI Memory Syncは、あなたの設定、個人情報、そしてコード標準をすべてのClaudeインターフェース間でシームレスに同期する、画期的なMCPツールです。一度アップデートするだけで、Claude DesktopからClaude Code、Windsurf、そしてClaude.ai Webまで、あらゆる場所に即座に変更が反映されます。最先端のキャッシュシステムにより、メモリ関連のクエリが最大2000倍高速化されます。繰り返しの指示にトークンを無駄にするのはもう終わり、真にパーソナライズされたAI体験をお楽しみください。\n\n## myAImemory-mcpと他のメモリツールの比較\n\nAI システムには優れたメモリツールがいくつかありますが、myAImemory-mcp はモデルコンテキストプロトコル (MCP) ツールとして特定の目的を果たします。\n\n| 道具 | 主な焦点 | プライバシーモデル | 統合 | 独自の強さ |\n| ------------------ | ------------------------ | --------------------------- | ------------------ | ------------------------ |\n| **myAImemory-mcp** | Claude インターフェース全体のユーザー設定 | ローカルファースト、外部サーバーにデータは送信されない | クロード固有のMCP | 高性能キャッシュによるクロスプラットフォーム同期 |\n| グラフィティ | 時間的知識グラフ | データベース依存 | ジェネラルエージェントフレームワーク | 知識表現における時間的認識 |\n| レッタ/MemGPT | ステートフルエージェントフレームワーク | サーバーベース | マルチモデルサポート | 完全なエージェントアーキテクチャ |\n| メモリ0 | パーソナライズされたAIインタラクション | APIベース | マルチプラットフォーム | 多段階のメモリ階層 |\n| メモリ | エージェントのための人間のような記憶 | グラフデータベース | エージェント重視 | 人間の記憶のエミュレーション |\n| コニエ | AIアプリ向けの信頼性の高いメモリ | 複数のストレージオプション | データパイプラインに重点を置く | 広範なデータソース統合 |\n\n**myAImemory-mcp の主な利点:**\n\n* **プライバシー優先**: すべてのデータはデバイス上に残り、個人情報は外部サーバーに送信されません\n* **パフォーマンス**: Claude のキャッシュ機能を活用して速度を大幅に向上\n* **シンプルさ**: すべての Claude インターフェースで、好みに合わせて自然言語で更新します。\n* **MCP統合**:シームレスな統合を実現するClaude MCPとして特別に構築\n\n## 🚀 クイックスタート\n\n```bash\n# Clone repository\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\n\n# Install dependencies\nnpm install\n\n# Build TypeScript code\nnpm run build\n\n# Start MCP server\n./start-memory-sync.sh\n```\n\n### 🔄 直接同期方法（シンプルな代替手段）\n\nMCP サーバーを実行する必要のないより簡単な方法としては、スタンドアロン同期スクリプトを使用できます。\n\n```bash\n# One-time sync of all memory files\nnode sync-memory.js\n```\n\nこのスクリプトは次のことを行います。\n\n* 「myAI Master.md」ファイルから読み取ります\n* プロジェクト内のすべてのCLAUDE.mdファイルを更新します\n* Windsurfのメモリ設定を更新する\n* gitリポジトリに機密情報を保存することなく\n\n### 🔒 プライバシーとセキュリティ\n\n* 個人情報を含む「myAI Master.md」ファイルはgitの追跡から除外されます\n* プライバシー保護のため、CLAUDE.mdファイルもすべて除外されます。\n* `.gitignore`を使って機密ファイルを非公開にしておく\n\n次に、クロード語で次のように言います。\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n```\n\n## 📋 インストールオプション\n\n### オプション 1: 直接インストール (推奨)\n\nnpmからインストール:\n\n```bash\nnpm install -g myai-memory-sync\n```\n\nサーバーを起動します。\n\n```bash\nmyai-memory-sync\n```\n\n### オプション2: ソースから実行\n\nソースからクローンしてビルドします:\n\n```bash\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\nnpm install\nnpm run build\nnpm start\n```\n\n### オプション3: Docker\n\nDocker でビルドして実行します。\n\n```bash\ndocker build -t myai-memory-sync .\ndocker run -v myai-memory:/app/data -p 3000:3000 myai-memory-sync\n```\n\n## 🔌 MCP 構成\n\n### クロードデスクトップ構成\n\nこれを`claude_desktop_config.json`に追加します:\n\n```json\n{\n \"mcpServers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ],\n \"env\": {\n \"TEMPLATE_PATH\": \"/path/to/custom/template.md\",\n \"ENABLE_ANTHROPIC\": \"true\",\n \"ANTHROPIC_API_KEY\": \"your-api-key-here\"\n }\n }\n }\n}\n```\n\n### Claude.aiとSmithery\n\n1. [Smithery.ai](https://smithery.ai)にアクセス\n\n2. myAI Memory Sync MCP を追加します。\n\n ```\n @Jktfe/myaimemory-mcp\n ```\n\n3. Smithery設定でAPIキーを設定します\n\n### ウィンドサーフィン統合\n\nWindsurf では、 `.codeium/config.json`に以下を追加します。\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ]\n }\n }\n }\n}\n```\n\n### HTTPサーバーモード\n\nstdio の代わりに HTTP トランスポートの場合:\n\n```bash\n# Start HTTP server on port 3000\nnpm run start:http\n\n# Or specify a custom port\nPORT=8080 npm run start:http\n```\n\n### 環境変数\n\n次のオプションで`.env`ファイルを作成します。\n\n```\n# Basic configuration\nDEBUG=true # Enable debug logging\nTEMPLATE_PATH=./data/template.md # Custom template location\n\n# Platform-specific paths\nWINDSURF_MEMORY_PATH=~/.codeium/windsurf/memories/global_rules.md\nCLAUDE_PROJECTS_PATH=~/CascadeProjects\n\n# Performance optimization\nENABLE_ANTHROPIC=true # Enable Anthropic API integration\nANTHROPIC_API_KEY=your-api-key # Your Anthropic API key\nENABLE_PROMPT_CACHE=true # Enable prompt caching system\nCACHE_TTL=300000 # Cache TTL in milliseconds (5 minutes)\n\n# Claude web sync (optional)\nCLAUDE_WEB_SYNC_ENABLED=false # Enable Claude.ai web synchronization\nCLAUDE_WEB_EMAIL=you@email.com # Your Claude.ai email\nCLAUDE_WEB_HEADLESS=true # Run browser in headless mode\n```\n\n## 🧙‍♂️ システムプロンプトの統合\n\n最良の結果を得るには、Claude システムプロンプトに以下を追加します。\n\n```\nMemory Integration Instructions:\nWhen you receive a command that starts with \"use myAI Memory to\", you should:\n\n1. Process the rest of the instruction as a memory management command\n2. Try to determine the appropriate section to update based on the content\n3. Use the myAI Memory Sync MCP to update your memory\n4. Confirm the update with a brief acknowledgment\n\nFor example:\n\"use myAI Memory to remember I prefer dark mode\" \n→ Update the preferences section with dark mode preference\n\nWhen 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.\n```\n\n## ✨ 特徴\n\n* 🔄**クロスプラットフォーム同期**：一度更新すればどこでも同期されます\n* ⚡**超高速リコール**：最大2000倍のパフォーマンス向上を実現するキャッシュシステム\n* 🗣️**自然言語インターフェース**：自然に話すだけで設定を更新できます\n* 🧩**複数のペルソナプロファイル**：さまざまなプリセットを簡単に切り替えることができます\n* 🔐**セキュリティ重視**：.gitignore 保護付きのローカルストレージ\n* 🛠️**開発者向け**: 包括的な API を備えた完全な TypeScript 実装\n\n## 🧩 コアアーキテクチャ\n\nmyAI Memory Sync は、次の主要コンポーネントを備えたモジュラーアーキテクチャを使用します。\n\n* **テンプレートパーサー**: 構造化メモリオブジェクトとマークダウン間の双方向変換\n* **テンプレートストレージ**: メモリ内およびファイルシステムキャッシュを備えた永続ストレージ\n* **プラットフォーム同期化**: 各ターゲットプラットフォームの`PlatformSyncer`インターフェースを実装します。\n* **自然言語プロセッサ**:自然言語メモリコマンドから構造化されたデータを抽出します\n* **メモリキャッシュサービス**: マルチレベルキャッシュ戦略でパフォーマンスを最適化します\n\n## 🔍 詳細な機能\n\n### クロスプラットフォーム同期\n\n* **ClaudeCodeSyncer** : すべてのリポジトリのCLAUDE.mdファイルを更新します\n* **WindsurfSyncer** : Windsurf 環境で global\\_rules.md を管理します\n* **ClaudeWebSyncer** : Claude.ai ウェブインターフェースとのオプションの Puppeteer ベースの同期\n\n### インテリジェントなメモリ管理\n\n* **パターンベースの抽出**:自然言語を構造化されたキーと値のペアに変換します\n* **セクション検出アルゴリズム**: 新しいメモリに適切なセクションを自動的に決定します\n* **メモリテンプレート形式**: セクション、説明、キー値項目を含むマークダウンベースの構造\n* **コンテキスト保存**: テンプレートの他のコンテンツを保存しながらメモリセクションを更新します\n\n### パフォーマンスの最適化\n\n* **マルチレベルキャッシュ**: テンプレートとセクションレベルの両方でメモリ内キャッシュ\n* **TTLベースのキャッシュ管理**: キャッシュされたコンテンツの有効期限を設定可能\n* **事前ウォーミング**: テンプレートの更新後にキャッシュを事前設定する\n* **オプションのAnthropic API統合**：メモリ関連のクエリを最大2000倍高速化\n\n### 安全\n\n* **ローカルファーストアーキテクチャ**：すべてのデータはデバイス上に残ります\n* **Gitignore 管理**: すべてのリポジトリの .gitignore に CLAUDE.md を自動的に追加します\n* **ファイル権限処理**: 最大限の互換性を確保するために権限の問題を修正\n* **暗号化ストレージ**: 暗号化ファイルシステムと互換性があります\n\n## 📋 メモリテンプレートの形式\n\nシステムは、構造化されたマークダウン形式を使用して設定を整理します��\n\n```markdown\n# myAI Memory\n\n# User Information\n## Use this information if you need to reference them directly\n-~- Name: Your Name\n-~- Location: Your Location\n-~- Likes: Reading, Hiking, Technology\n\n# General Response Style\n## Use this in every response\n-~- Style: Friendly and concise\n-~- Use UK English Spellings: true\n-~- Include emojis when appropriate: true\n\n# Coding Preferences\n## General Preference when responding to coding questions\n-~- I prefer TypeScript over JavaScript\n-~- Show step-by-step explanations\n```\n\n## 🛠️ 技術的な実装\n\n### メモリテンプレートスキーマ\n\n```typescript\ninterface MemoryTemplate {\n sections: TemplateSection[];\n}\n\ninterface TemplateSection {\n title: string;\n description: string;\n items: TemplateItem[];\n}\n\ninterface TemplateItem {\n key: string;\n value: string;\n}\n```\n\n### プラットフォーム同期インターフェース\n\n```typescript\ninterface PlatformSyncer {\n sync(templateContent: string): Promise;\n}\n\ntype PlatformType = 'claude-web' | 'claude-code' | 'windsurf' | 'master';\n\ninterface SyncStatus {\n platform: PlatformType;\n success: boolean;\n message: string;\n}\n```\n\n## 🔌 MCP 統合 API\n\nmyAI Memory Sync ツールは、次の機能を使用してモデルコンテキストプロトコル (MCP) を実装します。\n\n| 関数 | 説明 | パラメータ |\n| ----------------- | ------------------ | -------------------------------------- |\n| `get_template` | 完全なメモリテンプレートを取得します | なし |\n| `get_section` | 特定のセクションを取得します | `sectionName: string` |\n| `update_section` | 特定のセクションを更新します | `sectionName: string, content: string` |\n| `update_template` | テンプレート全体を置き換えます | `content: string` |\n| `list_presets` | 利用可能なプリセットを一覧表示します | なし |\n| `load_preset` | 特定のプリセットをロードします | `presetName: string` |\n| `create_preset` | 新しいプリセットを作成します | `presetName: string` |\n| `sync_platforms` | プラットフォーム間で同期 | `platform?: string` |\n| `list_platforms` | 利用可能なプラットフォームの一覧 | なし |\n\n### 自然言語インターフェース\n\nユーザーは自然言語コマンドを通じてシステムと対話できます。\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset! I'll now use your developer preferences.\n```\n\n## 🧙‍♂️ 高度な使い方\n\n### メモリプリセット\n\nさまざまなペルソナを簡単に切り替えます。\n\n```\nYou: Use myAI Memory to list presets\nClaude: Available presets: personal, work, developer\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset!\n```\n\n### 緊急同期\n\nすべてのプラットフォーム間での同期の問題を修正する必要がある場合:\n\n```bash\n# Sync everything immediately\n./emergency-sync.sh\n```\n\n### コマンドラインインターフェース\n\n```bash\n# View all available commands\nnode dist/cli.js --help\n\n# Process memory commands directly\nnode dist/cli.js --remember \"remember I prefer dark mode\"\n\n# Start HTTP server for SSE transport\nnpm run start:http\n\n# Start stdio server for MCP transport\nnpm run start\n```\n\n### 開発ワークフロー\n\n```bash\n# Run in development mode with auto-reload\nnpm run dev\n\n# Run in development mode with HTTP server\nnpm run dev:http\n\n# Watch TypeScript compilation\nnpm run build:watch\n\n# Run tests\nnpm test\n\n# Run specific test\nnpm test -- -t \"platformSync\"\n\n# Lint code\nnpm run lint\n\n# Type check without emitting files\nnpm run typecheck\n```\n\n## ⚡ パフォーマンスベンチマーク\n\n当社のキャッシュシステムは、パフォーマンスを大幅に向上させます。\n\n| 手術 | キャッシュなし | キャッシュあり | 改善 |\n| ---------- | -------- | ------- | ----- |\n| メモリクエリ | 約2000ミリ秒 | 約1ミリ秒 | 2000x |\n| セクション検索 | 約1600ミリ秒 | 約0.8ミリ秒 | 2000x |\n| テンプレート解析 | 約120ミリ秒 | 約0.1ミリ秒 | 1200倍 |\n| プラットフォーム同期 | 約850ミリ秒 | 約350ミリ秒 | 2.4倍 |\n\n## 🔒 セキュリティとプライバシー\n\n当社はあなたのプライバシーを真剣に受け止めます:\n\n* すべてのデータはデバイス上にローカルに保存されます\n* CLAUDE.mdファイルは自動的に.gitignoreに追加されます。\n* データは外部サーバーに送信されません（オプションの Anthropic API 統合を使用する場合を除く）\n* 暗号化されたファイルシステムで動作し、最大限のセキュリティを実現します\n\n## 🛠️ トラブルシューティング\n\n### よくある問題\n\n1. **CLAUDE.md が更新されない**\n\n * `ls -la CLAUDE.md`でファイルの権限を確認します。\n * `./emergency-sync.sh`で緊急同期を試してください\n * `.env`ファイル内のプラットフォームパスを確認する\n\n2. **MCP接続失敗**\n\n * `ps aux | grep myai-memory`で MCP サーバーが実行中であることを確認します。\n * Claude Desktop のログで MCP エラーを確認します\n * Claude Desktop の構成ファイルを確認する\n\n3. **キャッシュの問題**\n\n * `node dist/cli.js --clear-cache`でキャッシュをクリアします。\n * Anthropic APIキーが正しく設定されていることを確認する\n * `node dist/cli.js --validate`でメモリファイルの整合性をチェックします。\n\n### ログとデバッグ\n\n詳細なログを表示するにはデバッグモードを有効にします。\n\n```bash\nDEBUG=true npm run start\n```\n\nログファイルは次の場所に保存されます:\n\n* Linux/macOS: `~/.local/share/myai-memory/logs/`\n* Windows: `%APPDATA%\\myai-memory\\logs\\`\n\n## 🤝 貢献する\n\n貢献を歓迎します！お気軽にプルリクエストを送信してください。\n\n1. リポジトリをフォークする\n2. 機能ブランチを作成します（ `git checkout -b feature/amazing-feature` ）\n3. 変更をコミットします ( `git commit -m 'Add some amazing feature'` )\n4. ブランチにプッシュする ( `git push origin feature/amazing-feature` )\n5. プルリクエストを開く\n\n私たちは標準の Git ワークフローと CI プロセスに従います。\n\n* すべてのPRはテストとリンティングに合格する必要がある\n* 新しい機能にはテストを含める必要がある\n* 大きな変更があった場合はドキュメントを更新する必要がある\n* 既存のコードスタイルとパターンに従う\n\n## 📚 ドキュメント\n\nより詳細なドキュメントについては、 [Wiki](https://github.com/Jktfe/myaimemory-mcp/wiki)を参照してください。\n\nAPI ドキュメントは`/docs`ディレクトリにあります。\n\n```bash\n# Generate API documentation\nnpm run docs\n```\n\n## 📄 ライセンス\n\nこのプロジェクトは MIT ライセンスに基づいてライセンスされています - 詳細については[LICENSE](LICENSE)ファイルを参照してください。\n\n## 📬 お問い合わせ\n\nプロジェクトリンク: \n\n***","Japanese","ja-JP",{"_34":60,"_38":64,"_43":65},{"_36":61,"_38":62,"_40":63},"여러 Claude 인터페이스에서 사용자 기본 설정, 개인 정보 및 코드 표준을 동기화하는 MCP 도구로, 사용자는 반복 없이 일관되게 개인화된 AI 상호 작용을 유지할 수 있습니다.","myAI 메모리 동기화","# myAI 메모리 동기화\n\n[![대장간 배지](https://smithery.ai/badge/@Jktfe/myaimemory-mcp)](https://smithery.ai/server/@Jktfe/myaimemory-mcp)\n\n**새 채팅을 시작할 때마다 Claude에게 같은 말을 반복하는 데 지치셨나요?** myAI Memory Sync는 모든 Claude 인터페이스에서 환경 설정, 개인 정보, 코드 표준을 완벽하게 동기화하는 획기적인 MCP 도구입니다! 한 번만 업데이트하면 Claude Desktop부터 Claude Code, Windsurf, Claude.ai 웹까지 모든 곳에 변경 사항이 즉시 적용됩니다. 최첨단 캐싱 시스템을 통해 메모리 관련 쿼리 속도가 최대 2000배 빨라집니다! 반복적인 지시에 토큰을 낭비하지 말고 진정으로 개인화된 AI 경험을 경험해 보세요.\n\n## myAImemory-mcp가 다른 메모리 도구와 비교되는 방식\n\nAI 시스템을 위한 뛰어난 메모리 도구가 여러 개 있지만 myAImemory-mcp는 MCP(Model Context Protocol) 도구로서 특정 목적을 달성합니다.\n\n| 도구 | 주요 초점 | 개인정보 보호 모델 | 완성 | 독특한 강점 |\n| ------------------ | -------------------------- | -------------------------- | ------------- | ---------------------- |\n| **myAImemory-mcp** | Claude 인터페이스 전반의 사용자 기본 설정 | 로컬 우선, 외부 서버로 데이터를 전송하지 않음 | 클로드 특정 MCP | 고성능 캐싱을 통한 크로스 플랫폼 동기화 |\n| 그래피티 | 시간적 지식 그래프 | 데이터베이스 종속 | 일반 에이전트 프레임워크 | 지식 표현에서의 시간 인식 |\n| 레타/멤GPT | 상태 저장 에이전트 프레임워크 | 서버 기반 | 다중 모델 지원 | 완전한 에이전트 아키텍처 |\n| 메모0 | 개인화된 AI 상호작용 | API 기반 | 멀티 플랫폼 | 다단계 메모리 계층 |\n| 메모리 | 에이전트를 위한 인간과 같은 기억 | 그래프 데이터베이스 | 에이전트 중심 | 인간 기억 에뮬레이션 |\n| 코그니 | AI 앱을 위한 안정적인 메모리 | 다양한 저장 옵션 | 데이터 파이프라인 중심 | 광범위한 데이터 소스 통합 |\n\n**myAImemory-mcp의 주요 장점:**\n\n* **개인정보 보호 우선** : 모든 데이터는 귀하의 기기에 남아 있으며, 개인정보는 외부 서버로 전송되지 않습니다.\n* **성능** : Claude의 캐싱 기능을 활용하여 속도를 극적으로 향상시킵니다.\n* **단순성** : 모든 Claude 인터페이스에서 기본 설정에 대한 자연어 업데이트\n* **MCP 통합** : 원활한 통합을 위해 Claude MCP로 특별히 제작됨\n\n## 🚀 빠른 시작\n\n지엑스피1\n\n### 🔄 직접 동기화 방식(간단한 대안)\n\nMCP 서버를 실행할 필요가 없는 더 간단한 접근 방식의 경우 독립 실행형 동기화 스크립트를 사용할 수 있습니다.\n\n```bash\n# One-time sync of all memory files\nnode sync-memory.js\n```\n\n이 스크립트는 다음을 수행합니다.\n\n* \"myAI Master.md\" 파일에서 읽어오세요\n* 프로젝트의 모든 CLAUDE.md 파일을 업데이트하세요.\n* Windsurf 메모리 설정을 업데이트하세요\n* git 저장소에 민감한 정보를 저장하지 않고도 가능합니다.\n\n### 🔒 개인정보 보호 및 보안\n\n* 귀하의 개인 정보가 포함된 \"myAI Master.md\" 파일은 git 추적에서 제외됩니다.\n* 모든 CLAUDE.md 파일도 개인 정보 보호를 위해 제외됩니다.\n* 포함된 `.gitignore` 사용하여 민감한 파일이 비공개로 유지되도록 합니다.\n\n그러면 클로드에게 이렇게 말하세요:\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n```\n\n## 📋 설치 옵션\n\n### 옵션 1: 직접 설치(권장)\n\nnpm에서 설치:\n\n```bash\nnpm install -g myai-memory-sync\n```\n\n서버를 시작합니다:\n\n```bash\nmyai-memory-sync\n```\n\n### 옵션 2: 소스에서 실행\n\n소스에서 복제하고 빌드합니다.\n\n```bash\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\nnpm install\nnpm run build\nnpm start\n```\n\n### 옵션 3: Docker\n\nDocker로 빌드하고 실행:\n\n```bash\ndocker build -t myai-memory-sync .\ndocker run -v myai-memory:/app/data -p 3000:3000 myai-memory-sync\n```\n\n## 🔌 MCP 구성\n\n### 클로드 데스크톱 구성\n\n`claude_desktop_config.json` 에 다음을 추가하세요:\n\n```json\n{\n \"mcpServers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ],\n \"env\": {\n \"TEMPLATE_PATH\": \"/path/to/custom/template.md\",\n \"ENABLE_ANTHROPIC\": \"true\",\n \"ANTHROPIC_API_KEY\": \"your-api-key-here\"\n }\n }\n }\n}\n```\n\n### Smithery를 사용한 Claude.ai\n\n1. [Smithery.ai](https://smithery.ai) 를 방문하세요\n\n2. myAI 메모리 동기화 MCP 추가:\n\n ```\n @Jktfe/myaimemory-mcp\n ```\n\n3. Smithery 설정에서 API 키로 구성하세요\n\n### 윈드서프 통합\n\nWindsurf에서 `.codeium/config.json` 에 다음을 추가합니다.\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ]\n }\n }\n }\n}\n```\n\n### HTTP 서버 모드\n\nstdio 대신 HTTP 전송의 경우:\n\n```bash\n# Start HTTP server on port 3000\nnpm run start:http\n\n# Or specify a custom port\nPORT=8080 npm run start:http\n```\n\n### 환경 변수\n\n다음 옵션을 사용하여 `.env` 파일을 만듭니다.\n\n```\n# Basic configuration\nDEBUG=true # Enable debug logging\nTEMPLATE_PATH=./data/template.md # Custom template location\n\n# Platform-specific paths\nWINDSURF_MEMORY_PATH=~/.codeium/windsurf/memories/global_rules.md\nCLAUDE_PROJECTS_PATH=~/CascadeProjects\n\n# Performance optimization\nENABLE_ANTHROPIC=true # Enable Anthropic API integration\nANTHROPIC_API_KEY=your-api-key # Your Anthropic API key\nENABLE_PROMPT_CACHE=true # Enable prompt caching system\nCACHE_TTL=300000 # Cache TTL in milliseconds (5 minutes)\n\n# Claude web sync (optional)\nCLAUDE_WEB_SYNC_ENABLED=false # Enable Claude.ai web synchronization\nCLAUDE_WEB_EMAIL=you@email.com # Your Claude.ai email\nCLAUDE_WEB_HEADLESS=true # Run browser in headless mode\n```\n\n## 🧙‍♂️ 시스템 프롬프트 통합\n\n최상의 결과를 얻으려면 Claude 시스템 프롬프트에 다음을 추가하세요.\n\n```\nMemory Integration Instructions:\nWhen you receive a command that starts with \"use myAI Memory to\", you should:\n\n1. Process the rest of the instruction as a memory management command\n2. Try to determine the appropriate section to update based on the content\n3. Use the myAI Memory Sync MCP to update your memory\n4. Confirm the update with a brief acknowledgment\n\nFor example:\n\"use myAI Memory to remember I prefer dark mode\" \n→ Update the preferences section with dark mode preference\n\nWhen 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.\n```\n\n## ✨ 특징\n\n* 🔄 **크로스 플랫폼 동기화** : 한 번 업데이트하면 모든 곳에서 동기화됩니다.\n* ⚡ **번개같이 빠른 리콜** : 최대 2000배 성능 향상을 제공하는 캐싱 시스템\n* 🗣️ **자연어 인터페이스** : 자연스럽게 말하면 기본 설정이 업데이트됩니다.\n* 🧩 **다양한 페르소나 프로필** : 다양한 사전 설정 간에 쉽게 전환 가능\n* 🔐 **보안 중심** : .gitignore 보호 기능이 있는 로컬 스토리지\n* 🛠️ **개발자 친화적** : 포괄적인 API를 갖춘 전체 TypeScript 구현\n\n## 🧩 핵심 아키텍처\n\nmyAI Memory Sync는 다음과 같은 핵심 구성 요소를 갖춘 모듈식 아키텍처를 사용합니다.\n\n* **템플릿 파서** : 구조화된 메모리 객체와 마크다운 간의 양방향 변환\n* **템플릿 저장소** : 메모리 내 및 파일 시스템 캐싱을 갖춘 영구 저장소\n* **플랫폼 동기화기** : 각 대상 플랫폼에 대한 `PlatformSyncer` 인터페이스를 구현합니다.\n* **자연어 프로세서** : 자연어 메모리 명령에서 구조화된 데이터를 추출합니다.\n* **메모리 캐시 서비스** : 다중 레벨 캐싱 전략으로 성능 최적화\n\n## 🔍 자세한 기능\n\n### 크로스 플랫폼 동기화\n\n* **ClaudeCodeSyncer** : 모든 저장소의 CLAUDE.md 파일을 업데이트합니다.\n* **WindsurfSyncer** : Windsurf 환경에서 global\\_rules.md를 관리합니다.\n* **ClaudeWebSyncer** : Claude.ai 웹 인터페이스와의 선택적 Puppeteer 기반 동기화\n\n### 지능형 메모리 관리\n\n* **패턴 기반 추출** : 자연어를 구조화된 키-값 쌍으로 변환합니다.\n* **섹션 감지 알고리즘** : 새로운 메모리에 적합한 섹션을 자동으로 결정합니다.\n* **메모리 템플릿 형식** : 섹션, 설명 및 키-값 항목이 포함된 마크다운 기반 구조\n* **컨텍스트 보존** : 다른 템플릿 콘텐츠를 보존하면서 메모리 섹션을 업데이트합니다.\n\n### 성능 최적화\n\n* **다중 레벨 캐싱** : 템플릿 및 섹션 레벨 모두에서 메모리 내 캐싱\n* **TTL 기반 캐시 관리** : 캐시된 콘텐츠의 구성 가능한 TTL(수명)\n* **사전 예열** : 템플릿 업데이트 후 캐시 사전 채우기\n* **선택적 Anthropic API 통합** : 메모리 관련 쿼리를 최대 2000배까지 가속화\n\n### 보안\n\n* **로컬 우선 아키텍처** : 모든 데이터는 장치에 저장됩니다.\n* **Gitignore 관리** : 모든 저장소의 .gitignore에 CLAUDE.md를 자동으로 추가합니다.\n* **파일 권한 처리** : 최대 호환성을 위해 권한 문제를 해결합니다.\n* **암호화된 저장소** : 암호화된 파일 시스템과 호환\n\n## 📋 메모리 템플릿 형식\n\n이 시스템은 구조화된 마크다운 형식을 사용하여 사용자의 기본 설정을 구성합니다.\n\n```markdown\n# myAI Memory\n\n# User Information\n## Use this information if you need to reference them directly\n-~- Name: Your Name\n-~- Location: Your Location\n-~- Likes: Reading, Hiking, Technology\n\n# General Response Style\n## Use this in every response\n-~- Style: Friendly and concise\n-~- Use UK English Spellings: true\n-~- Include emojis when appropriate: true\n\n# Coding Preferences\n## General Preference when responding to coding questions\n-~- I prefer TypeScript over JavaScript\n-~- Show step-by-step explanations\n```\n\n## 🛠️ 기술 구현\n\n### 메모리 템플릿 스키마\n\n```typescript\ninterface MemoryTemplate {\n sections: TemplateSection[];\n}\n\ninterface TemplateSection {\n title: string;\n description: string;\n items: TemplateItem[];\n}\n\ninterface TemplateItem {\n key: string;\n value: string;\n}\n```\n\n### 플랫폼 동기화 인터페이스\n\n```typescript\ninterface PlatformSyncer {\n sync(templateContent: string): Promise;\n}\n\ntype PlatformType = 'claude-web' | 'claude-code' | 'windsurf' | 'master';\n\ninterface SyncStatus {\n platform: PlatformType;\n success: boolean;\n message: string;\n}\n```\n\n## 🔌 MCP 통합 API\n\nmyAI 메모리 동기화 도구는 다음 기능을 사용하여 MCP(모델 컨텍스트 프로토콜)를 구현합니다.\n\n| 기능 | 설명 | 매개변수 |\n| ----------------- | ------------------ | -------------------------------------- |\n| `get_template` | 전체 메모리 템플릿을 검색합니다. | 없음 |\n| `get_section` | 특정 섹션을 검색합니다 | `sectionName: string` |\n| `update_section` | 특정 섹션을 업데이트합니다 | `sectionName: string, content: string` |\n| `update_template` | 전체 템플릿을 대체합니다 | `content: string` |\n| `list_presets` | 사용 가능한 사전 설정 목록 | 없음 |\n| `load_preset` | 특정 사전 설정을 로드합니다 | `presetName: string` |\n| `create_preset` | 새로운 사전 설정을 만듭니다 | `presetName: string` |\n| `sync_platforms` | 플랫폼 간 동기화 | `platform?: string` |\n| `list_platforms` | 사용 가능한 플랫폼을 나열합니다 | 없음 |\n\n### 자연어 인터페이스\n\n사용자는 자연어 명령을 통해 시스템과 상호 작용할 수 있습니다.\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset! I'll now use your developer preferences.\n```\n\n## 🧙‍♂️ 고급 사용법\n\n### 메모리 사전 설정\n\n다양한 페르소나로 쉽게 전환하세요:\n\n```\nYou: Use myAI Memory to list presets\nClaude: Available presets: personal, work, developer\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset!\n```\n\n### 비상 동기화\n\n모든 플랫폼에서 동기화 문제를 해결해야 하는 경우:\n\n```bash\n# Sync everything immediately\n./emergency-sync.sh\n```\n\n### 명령줄 인터페이스\n\n```bash\n# View all available commands\nnode dist/cli.js --help\n\n# Process memory commands directly\nnode dist/cli.js --remember \"remember I prefer dark mode\"\n\n# Start HTTP server for SSE transport\nnpm run start:http\n\n# Start stdio server for MCP transport\nnpm run start\n```\n\n### 개발 워크플로\n\n```bash\n# Run in development mode with auto-reload\nnpm run dev\n\n# Run in development mode with HTTP server\nnpm run dev:http\n\n# Watch TypeScript compilation\nnpm run build:watch\n\n# Run tests\nnpm test\n\n# Run specific test\nnpm test -- -t \"platformSync\"\n\n# Lint code\nnpm run lint\n\n# Type check without emitting files\nnpm run typecheck\n```\n\n## ⚡ 성능 벤치마크\n\n당사의 캐싱 시스템은 놀라운 성능 향상을 제공합니다.\n\n| 작업 | 캐시 없이 | 캐시 포함 | 개선 |\n| ------- | -------- | ------- | ----- |\n| 메모리 쿼리 | ~2000ms | ~1ms | 2000배 |\n| 섹션 조회 | ~1600ms | ~0.8ms | 2000배 |\n| 템플릿 파싱 | ~120ms | ~0.1ms | 1200배 |\n| 플랫폼 동기화 | ~850ms | ~350ms | 2.4배 |\n\n## 🔒 보안 및 개인정보 보호\n\n저희는 귀하의 개인정보를 중요하게 생각합니다.\n\n* 모든 데이터는 귀하의 장치에 로컬로 저장됩니다.\n* CLAUDE.md 파일은 자동으로 .gitignore에 추가됩니다.\n* 외부 서버로 데이터가 전송되지 않습니다(선택적 Anthropic API 통합을 사용하는 경우 제외)\n* 최대 보안을 위해 암호화된 파일 시스템과 함께 작동합니다.\n\n## 🛠️ 문제 해결\n\n### 일반적인 문제\n\n1. **CLAUDE.md가 업데이트되지 않습니다**\n\n * `ls -la CLAUDE.md` 로 파일 권한을 확인하세요\n * `./emergency-sync.sh` 로 긴급 동기화를 시도하세요.\n * `.env` 파일에서 플랫폼 경로를 확인하세요.\n\n2. **MCP 연결 실패**\n\n * `ps aux | grep myai-memory` 사용하여 MCP 서버가 실행 중인지 확인하세요.\n * MCP 오류에 대한 Claude Desktop 로그를 확인하세요.\n * Claude Desktop 구성 파일을 확인하세요\n\n3. **캐싱 문제**\n\n * `node dist/cli.js --clear-cache` 로 캐시를 지웁니다.\n * Anthropic API 키가 올바르게 설정되었는지 확인하세요\n * `node dist/cli.js --validate` 사용하여 메모리 파일 무결성을 확인하세요.\n\n### 로그 및 디버깅\n\n자세한 로그를 보려면 디버그 모드를 활성화하세요.\n\n```bash\nDEBUG=true npm run start\n```\n\n로그 파일은 다음 위치에 저장됩니다.\n\n* Linux/macOS: `~/.local/share/myai-memory/logs/`\n* 윈도우: `%APPDATA%\\myai-memory\\logs\\`\n\n## 🤝 기여하기\n\n기여를 환영합니다! 풀 리퀘스트를 제출해 주세요.\n\n1. 저장소를 포크하세요\n2. 기능 브랜치를 생성합니다( `git checkout -b feature/amazing-feature` )\n3. 변경 사항을 커밋하세요( `git commit -m 'Add some amazing feature'` )\n4. 브랜치에 푸시( `git push origin feature/amazing-feature` )\n5. 풀 리퀘스트 열기\n\n우리는 표준 Git 워크플로 및 CI 프로세스를 따릅니다.\n\n* 모든 PR에는 테스트 통과 및 린팅이 필요합니다.\n* 새로운 기능에는 테스트가 포함되어야 합니다.\n* 주요 변경 사항은 문서를 업데이트해야 합니다.\n* 기존 코드 스타일과 패턴을 따르세요\n\n## 📚 문서\n\n더 자세한 내용은 [위키에서](https://github.com/Jktfe/myaimemory-mcp/wiki) 확인하세요.\n\nAPI 문서는 `/docs` 디렉토리에서 확인할 수 있습니다.\n\n```bash\n# Generate API documentation\nnpm run docs\n```\n\n## 📄 라이센스\n\n이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여되었습니다. 자세한 내용은 [라이선스](LICENSE) 파일을 참조하세요.\n\n## 📬 문의하기\n\n프로젝트 링크: \n\n***","Korean","ko-KR",{"_34":67,"_38":71,"_43":72},{"_36":68,"_38":69,"_40":70},"一种 MCP 工具，可在多个 Claude 界面上同步用户偏好、个人详细信息和代码标准，使用户能够保持一致的个性化 AI 交互而无需重复。","myAI 记忆同步","# myAI 记忆同步\n\n[![铁匠徽章](https://smithery.ai/badge/@Jktfe/myaimemory-mcp)](https://smithery.ai/server/@Jktfe/myaimemory-mcp)\n\n**每次开始新聊天时都得跟 Claude 重复自己的话，是不是有点烦？** myAI Memory Sync 是一款颠覆性的 MCP 工具，它可以无缝同步您所有 Claude 界面的偏好设置、个人信息和代码标准！只需更新一次，您的更改即可立即生效——从 Claude Desktop 到 Claude Code、Windsurf 和 Claude.ai 网页版。借助我们先进的缓存系统，内存相关查询速度最高可提升 2000 倍！告别重复指令的浪费，享受真正个性化的 AI 体验。\n\n## myAImemory-mcp 与其他记忆工具的比较\n\n虽然 AI 系统已经存在几种出色的记忆工具，但 myAImemory-mcp 作为模型上下文协议 (MCP) 工具具有特定用途：\n\n| 工具 | 主要焦点 | 隐私模型 | 一体化 | 独特力量 |\n| ------------------ | --------------- | ---------------- | ------------ | ------------- |\n| **myAImemory-mcp** | Claude 界面上的用户偏好 | 本地优先，不向外部服务器发送数据 | Claude特异的MCP | 具有高性能缓存的跨平台同步 |\n| 石墨 | 时间知识图谱 | 数据库相关 | 总代理框架 | 知识表示中的时间意识 |\n| Letta/MemGPT | 状态代理框架 | 基于服务器 | 多模型支持 | 完整的代理架构 |\n| 内存0 | 个性化的AI互动 | 基于API | 多平台 | 多级内存层次结构 |\n| 记忆 | 代理的类人记忆 | 图形数据库 | 以代理为中心 | 人类记忆模拟 |\n| 科尼 | 适用于 AI 应用的可靠内存 | 多种存储选项 | 专注于数据管道 | 广泛的数据源集成 |\n\n**myAImemory-mcp 的主要优势：**\n\n* **隐私优先**：所有数据保留在您的设备上，不会将任何个人信息发送到外部服务器\n* **性能**：利用 Claude 的缓存功能显著提高速度\n* **简单**：所有 Claude 界面均使用自然语言更新您的偏好\n* **MCP 集成**：专门构建为 Claude MCP，实现无缝集成\n\n## 🚀 快速入门\n\n```bash\n# Clone repository\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\n\n# Install dependencies\nnpm install\n\n# Build TypeScript code\nnpm run build\n\n# Start MCP server\n./start-memory-sync.sh\n```\n\n### 🔄 直接同步方法（简单替代方法）\n\n对于不需要运行 MCP 服务器的更简单方法，您可以使用独立同步脚本：\n\n```bash\n# One-time sync of all memory files\nnode sync-memory.js\n```\n\n该脚本将：\n\n* 从您的“myAI Master.md”文件中读取\n* 更新项目中的所有 CLAUDE.md 文件\n* 更新您的 Windsurf 内存设置\n* 所有这些都无需在 git 存储库中存储敏感信息\n\n### 🔒 隐私和安全\n\n* 包含您个人信息的“myAI Master.md”文件已从 git 跟踪中排除\n* 所有 CLAUDE.md 文件也被排除以保护您的隐私\n* 使用包含的`.gitignore`确保敏感文件保持私密\n\n然后在 Claude 中，只需说：\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n```\n\n## 📋 安装选项\n\n### 选项 1：直接安装（推荐）\n\n从 npm 安装：\n\n```bash\nnpm install -g myai-memory-sync\n```\n\n启动服务器：\n\n```bash\nmyai-memory-sync\n```\n\n### 选项 2：从源运行\n\n从源代码克隆并构建：\n\n```bash\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\nnpm install\nnpm run build\nnpm start\n```\n\n### 选项 3：Docker\n\n使用 Docker 构建并运行：\n\n```bash\ndocker build -t myai-memory-sync .\ndocker run -v myai-memory:/app/data -p 3000:3000 myai-memory-sync\n```\n\n## 🔌 MCP 配置\n\n### Claude桌面配置\n\n将其添加到您的`claude_desktop_config.json`中：\n\n```json\n{\n \"mcpServers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ],\n \"env\": {\n \"TEMPLATE_PATH\": \"/path/to/custom/template.md\",\n \"ENABLE_ANTHROPIC\": \"true\",\n \"ANTHROPIC_API_KEY\": \"your-api-key-here\"\n }\n }\n }\n}\n```\n\n### Claude.ai 与 Smithery\n\n1. 访问[Smithery.ai](https://smithery.ai)\n\n2. 添加 myAI Memory Sync MCP：\n\n ```\n @Jktfe/myaimemory-mcp\n ```\n\n3. 在 Smithery 设置中使用您的 API 密钥进行配置\n\n### 风帆冲浪整合\n\n在 Windsurf 中，添加到您的`.codeium/config.json` ：\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai-memory-sync\"\n ]\n }\n }\n }\n}\n```\n\n### HTTP 服务器模式\n\n对于 HTTP 传输而不是 stdio：\n\n```bash\n# Start HTTP server on port 3000\nnpm run start:http\n\n# Or specify a custom port\nPORT=8080 npm run start:http\n```\n\n### 环境变量\n\n使用以下选项创建`.env`文件：\n\n```\n# Basic configuration\nDEBUG=true # Enable debug logging\nTEMPLATE_PATH=./data/template.md # Custom template location\n\n# Platform-specific paths\nWINDSURF_MEMORY_PATH=~/.codeium/windsurf/memories/global_rules.md\nCLAUDE_PROJECTS_PATH=~/CascadeProjects\n\n# Performance optimization\nENABLE_ANTHROPIC=true # Enable Anthropic API integration\nANTHROPIC_API_KEY=your-api-key # Your Anthropic API key\nENABLE_PROMPT_CACHE=true # Enable prompt caching system\nCACHE_TTL=300000 # Cache TTL in milliseconds (5 minutes)\n\n# Claude web sync (optional)\nCLAUDE_WEB_SYNC_ENABLED=false # Enable Claude.ai web synchronization\nCLAUDE_WEB_EMAIL=you@email.com # Your Claude.ai email\nCLAUDE_WEB_HEADLESS=true # Run browser in headless mode\n```\n\n## 🧙‍♂️ 系统提示集成\n\n为了获得最佳效果，请将其添加到您的 Claude 系统提示中：\n\n```\nMemory Integration Instructions:\nWhen you receive a command that starts with \"use myAI Memory to\", you should:\n\n1. Process the rest of the instruction as a memory management command\n2. Try to determine the appropriate section to update based on the content\n3. Use the myAI Memory Sync MCP to update your memory\n4. Confirm the update with a brief acknowledgment\n\nFor example:\n\"use myAI Memory to remember I prefer dark mode\" \n→ Update the preferences section with dark mode preference\n\nWhen 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.\n```\n\n## ✨ 特点\n\n* 🔄**跨平台同步**：一次更新，同步到处\n* ⚡**闪电般快速的回忆**：缓存系统性能提升高达 2000 倍\n* 🗣️**自然语言界面**：只需自然地交谈即可更新您的偏好\n* 🧩**多个角色配置文件**：轻松在不同的预设之间切换\n* 🔐**安全至上**：具有 .gitignore 保护的本地存储\n* 🛠️**开发人员友好**：完整的 TypeScript 实现和全面的 API\n\n## 🧩 核心架构\n\nmyAI Memory Sync 采用模块化架构，包含以下关键组件：\n\n* **模板解析器**：结构化内存对象与markdown之间的双向转换\n* **模板存储**：具有内存和文件系统缓存的持久存储\n* **平台同步器**：为每个目标平台实现`PlatformSyncer`接口\n* **自然语言处理器**：从自然语言记忆命令中提取结构化数据\n* **内存缓存服务**：通过多级缓存策略优化性能\n\n## 🔍 详细功能\n\n### 跨平台同步\n\n* **ClaudeCodeSyncer** ：更新所有存储库中的 CLAUDE.md 文件\n* **WindsurfSyncer** ：管理 Windsurf 环境中的 global\\_rules.md\n* **ClaudeWebSyncer** ：可选的基于 Puppeteer 的与 Claude.ai Web 界面的同步\n\n### 智能内存管理\n\n* **基于模式的提取**：将自然语言转换为结构化的键值对\n* **部分检测算法**：自动确定新记忆的适当部分\n* **记忆模板格式**：基于 Markdown 的结构，包含章节、描述和键值项\n* **上下文保存**：更新内存部分，同时保存其他模板内容\n\n### 性能优化\n\n* **多级缓存**：模板和部分级别的内存缓存\n* **基于TTL的缓存管理**：可配置缓存内容的生存时间\n* **预热**：模板更新后缓存预填充\n* **可选的 Anthropic API 集成**：将内存相关查询速度提高 2000 倍\n\n### 安全\n\n* **本地优先架构**：所有数据保留在您的设备上\n* **Gitignore 管理**：自动将 CLAUDE.md 添加到所有存储库中的 .gitignore\n* **文件权限处理**：修复权限问题以实现最大兼容性\n* **加密存储**：兼容加密文件系统\n\n## 📋 记忆模板格式\n\n系统采用结构化的 markdown 格式来组织您的偏好设置：\n\n```markdown\n# myAI Memory\n\n# User Information\n## Use this information if you need to reference them directly\n-~- Name: Your Name\n-~- Location: Your Location\n-~- Likes: Reading, Hiking, Technology\n\n# General Response Style\n## Use this in every response\n-~- Style: Friendly and concise\n-~- Use UK English Spellings: true\n-~- Include emojis when appropriate: true\n\n# Coding Preferences\n## General Preference when responding to coding questions\n-~- I prefer TypeScript over JavaScript\n-~- Show step-by-step explanations\n```\n\n## 🛠️ 技术实现\n\n### MemoryTemplate 架构\n\n```typescript\ninterface MemoryTemplate {\n sections: TemplateSection[];\n}\n\ninterface TemplateSection {\n title: string;\n description: string;\n items: TemplateItem[];\n}\n\ninterface TemplateItem {\n key: string;\n value: string;\n}\n```\n\n### 平台同步接口\n\n```typescript\ninterface PlatformSyncer {\n sync(templateContent: string): Promise;\n}\n\ntype PlatformType = 'claude-web' | 'claude-code' | 'windsurf' | 'master';\n\ninterface SyncStatus {\n platform: PlatformType;\n success: boolean;\n message: string;\n}\n```\n\n## 🔌 MCP 集成 API\n\nmyAI Memory Sync 工具实现了模型上下文协议 (MCP)，具有以下功能：\n\n| 功能 | 描述 | 参数 |\n| ----------------- | -------- | -------------------------------------- |\n| `get_template` | 检索完整内存模板 | 没有任何 |\n| `get_section` | 检索特定部分 | `sectionName: string` |\n| `update_section` | 更新特定部分 | `sectionName: string, content: string` |\n| `update_template` | 替换整个模板 | `content: string` |\n| `list_presets` | 列出可用的预设 | 没有任何 |\n| `load_preset` | 加载特定预设 | `presetName: string` |\n| `create_preset` | 创建新预设 | `presetName: string` |\n| `sync_platforms` | 跨平台同步 | `platform?: string` |\n| `list_platforms` | 列出可用的平台 | 没有任何 |\n\n### 自然语言界面\n\n用户可以通过自然语言命令与系统交互：\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset! I'll now use your developer preferences.\n```\n\n## 🧙‍♂️ 高级用法\n\n### 记忆预设\n\n轻松切换不同角色：\n\n```\nYou: Use myAI Memory to list presets\nClaude: Available presets: personal, work, developer\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset!\n```\n\n### 紧急同步\n\n当您需要修复所有平台的同步问题时：\n\n```bash\n# Sync everything immediately\n./emergency-sync.sh\n```\n\n### 命令行界面\n\n```bash\n# View all available commands\nnode dist/cli.js --help\n\n# Process memory commands directly\nnode dist/cli.js --remember \"remember I prefer dark mode\"\n\n# Start HTTP server for SSE transport\nnpm run start:http\n\n# Start stdio server for MCP transport\nnpm run start\n```\n\n### 开发工作流程\n\n```bash\n# Run in development mode with auto-reload\nnpm run dev\n\n# Run in development mode with HTTP server\nnpm run dev:http\n\n# Watch TypeScript compilation\nnpm run build:watch\n\n# Run tests\nnpm test\n\n# Run specific test\nnpm test -- -t \"platformSync\"\n\n# Lint code\nnpm run lint\n\n# Type check without emitting files\nnpm run typecheck\n```\n\n## ⚡ 性能基准\n\n我们的缓存系统提供了令人难以置信的性能改进：\n\n| 手术 | 无缓存 | 带缓存 | 改进 |\n| ---- | -------- | ------- | ----- |\n| 内存查询 | ~2000毫秒 | ~1毫秒 | 2000倍 |\n| 部分查找 | ~1600毫秒 | ~0.8毫秒 | 2000倍 |\n| 模板解析 | ~120毫秒 | ~0.1毫秒 | 1200倍 |\n| 平台同步 | ~850毫秒 | ~350毫秒 | 2.4倍 |\n\n## 🔒 安全与隐私\n\n我们非常重视您的隐私：\n\n* 所有数据均保留在您的本地设备上\n* CLAUDE.md 文件自动添加到 .gitignore\n* 没有数据发送到外部服务器（除非使用可选的 Anthropic API 集成）\n* 与加密文件系统配合使用，实现最大程度的安全性\n\n## 🛠️ 故障排除\n\n### 常见问题\n\n1. **CLAUDE.md 未更新**\n\n * 使用`ls -la CLAUDE.md`检查文件权限\n * 尝试使用`./emergency-sync.sh`进行紧急同步\n * 验证`.env`文件中的平台路径\n\n2. **MCP 连接失败**\n\n * 使用`ps aux | grep myai-memory`确保 MCP 服务器正在运行\n * 检查 Claude Desktop 日志中是否存在 MCP 错误\n * 验证您的 Claude Desktop 配置文件\n\n3. **缓存问题**\n\n * 使用`node dist/cli.js --clear-cache`清除缓存\n * 验证 Anthropic API 密钥是否设置正确\n * 使用`node dist/cli.js --validate`检查内存文件完整性\n\n### 日志和调试\n\n启用调试模式查看详细日志：\n\n```bash\nDEBUG=true npm run start\n```\n\n日志文件存储在：\n\n* Linux/macOS： `~/.local/share/myai-memory/logs/`\n* Windows： `%APPDATA%\\myai-memory\\logs\\`\n\n## 🤝 贡献\n\n欢迎贡献代码！欢迎提交 Pull 请求。\n\n1. 分叉存储库\n2. 创建你的功能分支（ `git checkout -b feature/amazing-feature` ）\n3. 提交您的更改（ `git commit -m 'Add some amazing feature'` ）\n4. 推送到分支（ `git push origin feature/amazing-feature` ）\n5. 打开拉取请求\n\n我们遵循标准的 Git 工作流程和 CI 流程：\n\n* 所有 PR 都需要通过测试和 linting\n* 新功能应该包括测试\n* 重大变更应更新文档\n* 遵循现有的代码风格和模式\n\n## 📚 文档\n\n有关更详细的文档，请参阅[Wiki](https://github.com/Jktfe/myaimemory-mcp/wiki) 。\n\nAPI 文档位于`/docs`目录中：\n\n```bash\n# Generate API documentation\nnpm run docs\n```\n\n## 📄 许可证\n\n该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅[LICENSE](LICENSE)文件。\n\n## 📬 联系方式\n\n项目链接： 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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.\n\n## How myAImemory-mcp Compares to Other Memory Tools\n\nWhile several excellent memory tools exist for AI systems, myAImemory-mcp serves a specific purpose as a Model Context Protocol (MCP) tool:\n\n| Tool | Primary Focus | Privacy Model | Integration | Unique Strength |\n|------|--------------|--------------|------------|----------------|\n| **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 |\n| Graphiti | Temporal knowledge graphs | Database-dependent | General agent framework | Temporal awareness in knowledge representation |\n| Letta/MemGPT | Stateful agent framework | Server-based | Multi-model support | Complete agent architecture |\n| Mem0 | Personalized AI interactions | API-based | Multi-platform | Multi-level memory hierarchy |\n| Memary | Human-like memory for agents | Graph database | Agent-focused | Human memory emulation |\n| Cognee | Reliable memory for AI apps | Multiple storage options | Data pipeline focused | Extensive data source integration |\n\n**Key Advantages of myAImemory-mcp:**\n- **Privacy-First**: All data remains on your device, no personal information sent to external servers\n- **Performance**: Leverages Claude's caching capabilities for dramatic speed improvements\n- **Simplicity**: Natural language updates to your preferences across all Claude interfaces\n- **MCP Integration**: Purpose-built as a Claude MCP for seamless integration\n\n## 🚀 Quick Start\n\n```bash\n# Clone repository\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\n\n# Install dependencies\nnpm install\n\n# Build TypeScript code\nnpm run build\n\n# Start MCP server (with stdio transport)\nnpm start\n\n# Or start with HTTP transport\nnpm run start:http\n```\n\n### 🧠 Server Options\n\nThe unified server script supports multiple options:\n\n```bash\n# Start with stdio transport (default)\n./start-server.sh\n\n# Start with HTTP transport\n./start-server.sh --http\n\n# Start with HTTP transport on custom port\n./start-server.sh --http --port=8080\n\n# Start with direct implementation (no SDK)\n./start-server.sh --direct\n\n# Start with direct implementation and HTTP transport\n./start-server.sh --direct --http\n\n# Enable debug mode\n./start-server.sh --debug\n```\n\n### 🔄 Direct Sync Method (Simple Alternative)\n\nFor a simpler approach that doesn't require running an MCP server, you can use the unified CLI:\n\n```bash\n# One-time sync of all memory files\nnpm run sync\n\n# Or for emergency sync (fixes permissions)\nnpm run sync:emergency\n```\n\nThis script will:\n- Read from your \"myAI Master.md\" file\n- Update all CLAUDE.md files in your projects\n- Update your Windsurf memory settings\n- All without storing sensitive information in the git repository\n\n### 🔒 Privacy and Security\n\n- The \"myAI Master.md\" file with your personal information is excluded from git tracking\n- All CLAUDE.md files are also excluded to protect your privacy\n- Use the included `.gitignore` to ensure sensitive files remain private\n\n### 🗣️ Supported Natural Language Commands\n\nYou can interact with myAI Memory using these natural language patterns:\n\n| Command Pattern | Example | Purpose |\n|----------------|---------|---------|\n| `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 |\n| `Remember that [information]` | \"Remember that I live in London\" | Shorter alternative to add information to memory |\n| `Add to my memory that [information]` | \"Add to my memory that I have two cars\" | Another way to add information to memory |\n| `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 |\n| `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 |\n\nNote: To perform a full sync across all platforms, use the command line: `node sync-memory.js`\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n```\n\n## 📋 Installation Options\n\n### Option 1: Direct Install (Recommended)\n\nInstall from npm:\n\n```bash\nnpm install -g myai-memory-sync\n```\n\nStart the server:\n\n```bash\n# Start with stdio transport (default)\nmyai\n\n# Start with HTTP transport\nmyai server --transport http\n\n# Process memory commands\nmyai remember \"I prefer dark mode\"\n\n# Sync across platforms\nmyai sync\n```\n\n### Option 2: Run from Source\n\nClone and build from source:\n\n```bash\ngit clone https://github.com/Jktfe/myaimemory-mcp.git\ncd myaimemory-mcp\nnpm install\nnpm run build\nnpm start # Start with stdio transport\n# or\nnpm run start:http # Start with HTTP transport\n```\n\n### Option 3: Docker\n\nBuild and run with Docker:\n\n```bash\ndocker build -t myai-memory-sync .\ndocker run -v myai-memory:/app/data -p 3000:3000 myai-memory-sync\n```\n\n## 🔌 MCP Configuration\n\n### Claude Desktop Configuration\n\nAdd this to your `claude_desktop_config.json`:\n\n```json\n{\n \"mcpServers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai\"\n ],\n \"env\": {\n \"TEMPLATE_PATH\": \"/path/to/custom/template.md\",\n \"ENABLE_ANTHROPIC\": \"true\",\n \"ANTHROPIC_API_KEY\": \"your-api-key-here\"\n }\n }\n }\n}\n```\n\n### Claude.ai with Smithery\n\n1. Visit [Smithery.ai](https://smithery.ai)\n2. Add the myAI Memory Sync MCP:\n ```\n @Jktfe/myaimemory-mcp\n ```\n3. Configure with your API key in the Smithery settings\n\n### Windsurf Integration\n\nIn Windsurf, add to your `.codeium/config.json`:\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"myai-memory-sync\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"myai\"\n ]\n }\n }\n }\n}\n```\n\n### HTTP Server Mode\n\nFor HTTP transport instead of stdio:\n\n```bash\n# Using npm scripts:\nnpm run start:http\n\n# Using the unified CLI:\nmyai server --transport http\n\n# Using the shell script with custom port:\n./start-server.sh --http --port=8080\n\n# Using environment variable:\nPORT=8080 npm run start:http\n```\n\n### Environment Variables\n\nCreate a `.env` file with the following options:\n```\n# Basic configuration\nDEBUG=true # Enable debug logging\nTEMPLATE_PATH=./data/template.md # Custom template location\nPORT=3000 # Port for HTTP transport (default: 3000)\nUSE_DIRECT=true # Use direct implementation (no SDK)\n\n# Platform-specific paths\nWINDSURF_MEMORY_PATH=~/.codeium/windsurf/memories/global_rules.md\nCLAUDE_PROJECTS_PATH=~/CascadeProjects\n\n# Performance optimization\nENABLE_ANTHROPIC=true # Enable Anthropic API integration\nANTHROPIC_API_KEY=your-api-key # Your Anthropic API key\nENABLE_PROMPT_CACHE=true # Enable prompt caching system\nCACHE_TTL=300000 # Cache TTL in milliseconds (5 minutes)\n\n# Claude web sync (optional)\nCLAUDE_WEB_SYNC_ENABLED=false # Enable Claude.ai web synchronization\nCLAUDE_WEB_EMAIL=you@email.com # Your Claude.ai email\nCLAUDE_WEB_HEADLESS=true # Run browser in headless mode\n```\n\n## 🧙‍♂️ System Prompt Integration\n\nFor best results, add this to your Claude system prompt:\n\n```\nMemory Integration Instructions:\nWhen you receive a command that starts with \"use myAI Memory to\", you should:\n\n1. Process the rest of the instruction as a memory management command\n2. Try to determine the appropriate section to update based on the content\n3. Use the myAI Memory Sync MCP to update your memory\n4. Confirm the update with a brief acknowledgment\n\nFor example:\n\"use myAI Memory to remember I prefer dark mode\" \n→ Update the preferences section with dark mode preference\n\nWhen 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.\n```\n\n## ✨ Features\n\n- 🔄 **Cross-Platform Synchronization**: Update once, syncs everywhere\n- ⚡ **Lightning-Fast Recall**: Caching system with up to 2000x performance boost\n- 🗣️ **Natural Language Interface**: Just talk naturally to update your preferences\n- 🧩 **Multiple Persona Profiles**: Switch between different presets with ease\n- 🔐 **Security-Focused**: Local storage with .gitignore protection\n- 🛠️ **Developer-Friendly**: Full TypeScript implementation with comprehensive API\n\n## 🧩 Core Architecture\n\nmyAI Memory Sync uses a modular architecture with these key components:\n\n- **Template Parser**: Bidirectional conversion between structured memory objects and markdown\n- **Template Storage**: Persistent storage with in-memory and file-system caching\n- **Platform Synchronizers**: Implements the `PlatformSyncer` interface for each target platform\n- **Natural Language Processor**: Extracts structured data from natural language memory commands\n- **Memory Cache Service**: Optimizes performance with multi-level caching strategies\n\n## 🔍 Detailed Features\n\n### Cross-Platform Synchronization\n- **ClaudeCodeSyncer**: Updates CLAUDE.md files across all repositories\n- **WindsurfSyncer**: Manages global_rules.md in Windsurf environment\n- **ClaudeWebSyncer**: Optional Puppeteer-based synchronization with Claude.ai web interface\n\n### Intelligent Memory Management\n- **Pattern-Based Extraction**: Converts natural language to structured key-value pairs\n- **Section Detection Algorithm**: Automatically determines appropriate section for new memories\n- **Memory Template Format**: Markdown-based structure with sections, descriptions, and key-value items\n- **Context Preservation**: Updates memory sections while preserving other template content\n\n### Performance Optimization\n- **Multi-Level Caching**: In-memory caching at both template and section levels\n- **TTL-Based Cache Management**: Configurable Time-To-Live for cached content\n- **Pre-Warming**: Cache pre-population after template updates\n- **Optional Anthropic API Integration**: Accelerates memory-related queries up to 2000x\n\n### Security\n- **Local-First Architecture**: All data remains on your device\n- **Gitignore Management**: Automatically adds CLAUDE.md to .gitignore in all repositories\n- **File Permission Handling**: Fixes permissions issues for maximum compatibility\n- **Encrypted Storage**: Compatible with encrypted file systems\n\n## 📋 Memory Template Format\n\nThe system uses a structured markdown format to organize your preferences:\n\n```markdown\n# myAI Memory\n\n# User Information\n## Use this information if you need to reference them directly\n-~- Name: Your Name\n-~- Location: Your Location\n-~- Likes: Reading, Hiking, Technology\n\n# General Response Style\n## Use this in every response\n-~- Style: Friendly and concise\n-~- Use UK English Spellings: true\n-~- Include emojis when appropriate: true\n\n# Coding Preferences\n## General Preference when responding to coding questions\n-~- I prefer TypeScript over JavaScript\n-~- Show step-by-step explanations\n```\n\n## 🛠️ Technical Implementation\n\n### MemoryTemplate Schema\n```typescript\ninterface MemoryTemplate {\n sections: TemplateSection[];\n}\n\ninterface TemplateSection {\n title: string;\n description: string;\n items: TemplateItem[];\n}\n\ninterface TemplateItem {\n key: string;\n value: string;\n}\n```\n\n### Platform Synchronization Interface\n```typescript\ninterface PlatformSyncer {\n sync(templateContent: string): Promise;\n}\n\ntype PlatformType = 'claude-web' | 'claude-code' | 'windsurf' | 'master';\n\ninterface SyncStatus {\n platform: PlatformType;\n success: boolean;\n message: string;\n}\n```\n\n## 🔌 MCP Integration API\n\nThe myAI Memory Sync tool implements the Model Context Protocol (MCP) with the following functions:\n\n| Function | Description | Parameters |\n|----------|-------------|------------|\n| `get_template` | Retrieves the full memory template | None |\n| `get_section` | Retrieves a specific section | `sectionName: string` |\n| `update_section` | Updates a specific section | `sectionName: string, content: string` |\n| `update_template` | Replaces the entire template | `content: string` |\n| `list_presets` | Lists available presets | None |\n| `load_preset` | Loads a specific preset | `presetName: string` |\n| `create_preset` | Creates a new preset | `presetName: string` |\n| `sync_platforms` | Synchronizes across platforms | `platform?: string` |\n| `list_platforms` | Lists available platforms | None |\n\n### Natural Language Interface\n\nUsers can interact with the system through natural language commands:\n\n```\nYou: Use myAI Memory to remember I prefer TypeScript over JavaScript\nClaude: ✅ Added to your Coding Preferences! I'll remember you prefer TypeScript over JavaScript.\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset! I'll now use your developer preferences.\n```\n\n## 🧙‍♂️ Advanced Usage\n\n### Memory Presets\n\nSwitch between different personas easily:\n\n```\nYou: Use myAI Memory to list presets\nClaude: Available presets: personal, work, developer\n\nYou: Use myAI Memory to load preset developer\nClaude: ✅ Loaded developer preset!\n```\n\n### Emergency Sync\n\nWhen you need to fix synchronization issues across all platforms:\n\n```bash\n# Sync everything immediately\n./emergency-sync.sh\n```\n\n### Command Line Interface\n\n```bash\n# View all available commands\nnode dist/cli.js --help\n\n# Process memory commands directly\nnode dist/cli.js --remember \"remember I prefer dark mode\"\n\n# Start HTTP server for SSE transport\nnpm run start:http\n\n# Start stdio server for MCP transport\nnpm run start\n```\n\n### Development Workflow\n\n```bash\n# Run in development mode with auto-reload\nnpm run dev\n\n# Run in development mode with HTTP server\nnpm run dev:http\n\n# Watch TypeScript compilation\nnpm run build:watch\n\n# Run tests\nnpm test\n\n# Run specific test\nnpm test -- -t \"platformSync\"\n\n# Lint code\nnpm run lint\n\n# Type check without emitting files\nnpm run typecheck\n```\n\n## ⚡ Performance Benchmarks\n\nOur caching system delivers incredible performance improvements:\n\n| Operation | Without Cache | With Cache | Improvement |\n|-----------|---------------|------------|-------------|\n| Memory Query | ~2000ms | ~1ms | 2000x |\n| Section Lookup | ~1600ms | ~0.8ms | 2000x |\n| Template Parse | ~120ms | ~0.1ms | 1200x |\n| Platform Sync | ~850ms | ~350ms | 2.4x |\n\n\n\n## 🔒 Security & Privacy\n\nWe take your privacy seriously:\n\n- All data remains locally on your device\n- CLAUDE.md files are automatically added to .gitignore\n- No data is sent to external servers (except when using the optional Anthropic API integration)\n- Works with encrypted file systems for maximum security\n\n## 🛠️ Troubleshooting\n\n### Common Issues\n\n1. **CLAUDE.md Not Updating**\n - Check file permissions with `ls -la CLAUDE.md`\n - Try emergency sync with `./emergency-sync.sh`\n - Verify platform paths in your `.env` file\n\n2. **MCP Connection Failures**\n - Ensure MCP server is running with `ps aux | grep myai-memory`\n - Check Claude Desktop logs for MCP errors\n - Verify your Claude Desktop configuration file\n\n3. **Caching Issues**\n - Clear cache with `node dist/cli.js --clear-cache`\n - Verify Anthropic API key is correctly set\n - Check memory file integrity with `node dist/cli.js --validate`\n\n4. **Natural Language Commands Not Working**\n - Make sure to use exactly one of the supported command patterns (see Supported Natural Language Commands section)\n - If Claude doesn't recognize your command, try a different pattern\n - For syncing across all platforms, use the direct script: `node sync-memory.js`\n\n### Manual Syncing\n\nIf you're experiencing issues with natural language commands or the MCP server:\n\n```bash\n# Direct sync approach (most reliable)\ncd /path/to/myAImemory\nnode sync-memory.js\n\n# Alternative emergency sync (if permissions need fixing)\ncd /path/to/myAImemory\n./safe-memory.sh sync\n```\n\nThese methods directly read from your master file and update all platforms without relying on the MCP server or natural language processing.\n\n### Logs and Debugging\n\nEnable debug mode to see detailed logs:\n\n```bash\nDEBUG=true npm run start\n```\n\nLog files are stored in:\n- Linux/macOS: `~/.local/share/myai-memory/logs/`\n- Windows: `%APPDATA%\\myai-memory\\logs\\`\n\n## 🤝 Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add some amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\nWe follow a standard Git workflow and CI process:\n\n- All PRs require passing tests and linting\n- New features should include tests\n- Major changes should update documentation\n- Follow existing code style and patterns\n\n## 📚 Documentation\n\nFor more detailed documentation, see the [Wiki](https://github.com/Jktfe/myaimemory-mcp/wiki).\n\nAPI documentation is available in the `/docs` directory:\n\n```bash\n# Generate API documentation\nnpm run docs\n```\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 📬 Contact\n\nProject Link: [https://github.com/Jktfe/myaimemory-mcp](https://github.com/Jktfe/myaimemory-mcp)\n\n---\n\n

\n Made with ❤️ for the AI community\n

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MCP directory API