Like-I-Said-memory-mcp-server

endlessblink/Like-I-Said-memory-mcp-server

3.5

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Like-I-Said MCP v2 is a memory server designed to provide AI assistants with persistent memory capabilities, allowing them to remember conversations and context across sessions.

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Like I Said - MCP Memory Server

A Model Context Protocol (MCP) server for persistent AI assistant memory with web dashboard interface.

✨ Features

  • 🧠 Persistent Memory: Store and retrieve memories across conversations
  • 🌐 Web Dashboard: Modern React interface to view and manage memories
  • 🔄 Real-time Updates: Live dashboard with search and filtering
  • ⚡ Easy Setup: Multiple deployment options
  • 🔧 MCP Compatible: Works with Claude Desktop, Cursor, and other MCP clients

🚀 Quick Start

1. Install Dependencies

npm install

2. Development Mode (Frontend + Backend)

npm run dev:full

3. Production Mode (MCP Server Only)

npm start

🔧 MCP Configuration

Claude Desktop Setup

  1. Copy claude-desktop-config.template.json to your Claude config directory
  2. Update the path to point to your project location
  3. Rename to claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "like-i-said-memory": {
      "command": "node",
      "args": ["PATH_TO_YOUR_PROJECT/server.js"]
    }
  }
}

🛠️ Available Tools

  • add_memory(key, value, context?): Store a memory with optional context
  • get_memory(key): Retrieve a memory by key
  • list_memories(prefix?): List all memory keys (with optional prefix filter)
  • delete_memory(key): Delete a memory by key

📱 Web Dashboard

The dashboard provides:

  • Memory Browser: View all stored memories in a searchable table
  • Search & Filter: Find memories by key, value, or tags
  • Add/Edit: Create and modify memories through the UI
  • Real-time: Automatically syncs with the MCP server data

🗂️ Data Storage

Memories are stored in memory.json with structure:

{
  "memory_key": {
    "value": "The actual memory content",
    "context": {
      "type": "category",
      "tags": ["tag1", "tag2"]
    },
    "timestamp": "2025-01-01T00:00:00.000Z"
  }
}

📜 Scripts

  • npm start - Start MCP server only
  • npm run dashboard - Start web dashboard only
  • npm run dev:full - Start both servers for development
  • npm run build - Build frontend for production
  • npm run pm2:start - Start with PM2 process manager

🔧 PM2 Deployment (Optional)

  1. Copy and customize ecosystem.config.template.json
  2. Install PM2: npm install -g pm2
  3. Start: npm run pm2:start

📋 Development

Built with:

  • Backend: Node.js, Express
  • Frontend: React, TypeScript, Vite, Tailwind CSS
  • UI: Shadcn/ui components

📄 License

MIT License - see LICENSE file for details.