Like-I-Said-memory-mcp-server

Like-I-Said MCP v2

MCP memory server for AI assistants - Remember conversations across sessions

Give your AI assistants persistent memory! Store information, preferences, and context that survives conversation restarts.

✨ Features

• 🧠 Persistent Memory - AI remembers across conversations
• 🚀 One-Command Install - Auto-configures all AI clients
• 🌍 Cross-Platform - Windows, macOS, Linux (including WSL)
• 📊 React Dashboard - Modern web interface with real-time updates
• 🔧 6 Memory Tools - Complete memory management suite
• 📝 Markdown Storage - Enhanced frontmatter with categories and relationships
• 🔍 Advanced Search - Full-text search with filters and tags
• 📈 Analytics - Memory usage statistics and insights
• 🎨 Modern UI - Card-based layout with dark theme

🚀 Easy Installation (No Technical Skills Required!)

Step 1: Install Node.js (First Time Only)

For complete beginners - Node.js is like installing a program that helps run JavaScript apps on your computer.

Windows Users:

1. Visit: nodejs.org or nodejs.org/releases for older versions
2. Download: Click the green "LTS" button (Long Term Support - most stable)
3. Install:
   • Run the downloaded .msi file
   • Click "Next" through all the steps (defaults are fine)
   • ✅ Check "Automatically install the necessary tools" if asked
4. Verify:
   • Press Windows + R, type cmd, press Enter
   • Type: node --version and press Enter
   • You should see something like v20.x.x

Mac Users:

1. Visit: nodejs.org or nodejs.org/releases for specific versions
2. Download: Click the green "LTS" button
3. Install:
   • Run the downloaded .pkg file
   • Follow the installer (defaults are fine)
4. Verify:
   • Press Cmd + Space, type terminal, press Enter
   • Type: node --version and press Enter
   • You should see something like v20.x.x

Linux Users:

# Ubuntu/Debian
curl -fsSL https://deb.nodesource.com/setup_lts.x | sudo -E bash -
sudo apt-get install -y nodejs

# Verify
node --version

Step 2: One-Command MCP Installation

npx -p @endlessblink/like-i-said-v2 like-i-said-v2 install

What this magical command does:

• 🔍 Finds your AI apps automatically (Claude Desktop, Cursor, Windsurf, VS Code)
• ⚙️ Configures everything so your AI can remember things
• 🧪 Tests everything works before finishing
• 🛡️ Keeps your existing settings completely safe
• 📦 Works on all platforms (Windows, Mac, Linux)

No coding knowledge required! Just copy, paste, and press Enter.

Step 3: Update to Latest Version (When Needed)

# Update to the latest version
npm update -g @endlessblink/like-i-said-v2

# Or reinstall to get latest version
npx -p @endlessblink/like-i-said-v2 like-i-said-v2 install

Step 4: Start the Web Dashboard (Optional)

# Option A: Install globally (recommended for regular use)
npm install -g @endlessblink/like-i-said-v2
like-i-said-v2 start

# Option B: Run directly without installing
npx -p @endlessblink/like-i-said-v2 like-i-said-v2 start

Visual Interface: Visit http://localhost:3001 in your browser for:

• 📊 Memory Dashboard - See all your AI's memories in a modern interface
• 🔍 Advanced Search - Find memories by content, tags, or projects
• 📈 Analytics - Usage statistics and memory insights
• 🎨 Memory Cards - Beautiful card-based layout with categories

For Advanced Users: Docker Support

# Install with Docker configuration
npx -p @endlessblink/like-i-said-v2 like-i-said-v2 install --docker

# Or copy Docker files for custom deployment
cp docker-configs/Dockerfile.production ./Dockerfile

📸 Dashboard Screenshots

Memory Management

Modern card-based memory interface with search, filtering, and project organization

Relationship Visualization

Interactive graph visualization showing connections between memories

Analytics Dashboard

Comprehensive statistics and insights about your memory usage

Enhanced Features

AI-powered memory enhancement, clustering, and advanced organization

🎯 Supported AI Clients

🛠️ Available Tools

After installation, your AI assistant will have these tools:

• add_memory - Store information with tags, categories, and project context
• get_memory - Retrieve specific memory by ID
• list_memories - Show memories with complexity levels and metadata
• delete_memory - Remove specific memory
• search_memories - Full-text search with project filtering
• test_tool - Verify MCP connection

Enhanced Memory Features:

• Categories: personal, work, code, research, conversations, preferences
• Complexity Levels: L1 (Simple) → L4 (Advanced)
• Projects: Organize memories by project context
• Relationships: Link related memories together

📋 Usage Examples

Store a preference:

"Remember that I prefer TypeScript over JavaScript for new projects"

Recall information:

"What did I tell you about my TypeScript preference?"

Project context:

"Store that this React app uses Tailwind CSS and shadcn/ui components"

Search memories:

"Find all memories about React projects"

🔧 Advanced Setup

Custom Installation

npx -p @endlessblink/like-i-said-v2 like-i-said-v2 init

Manual Server Start

npx -p @endlessblink/like-i-said-v2 like-i-said-v2 start

🔄 After Installation

1. Restart your AI client:

   • Claude Desktop: Close completely and restart
   • Cursor: Press Ctrl+Shift+P → "Reload Window"
   • Windsurf: Auto-detects changes

2. Test the installation:

   "What MCP tools do you have available?"

3. Start using memory:

   "Remember that I'm working on a Next.js project called MyApp"

🆘 Troubleshooting

Tools don't appear?

• Ensure you fully restarted your AI client
• Wait 2-3 minutes for detection (Claude Desktop may take up to 5 minutes)
• Check client-specific logs

Windows-specific notes:

• ⚠️ Always use the full npx command format: npx -p @endlessblink/like-i-said-v2 like-i-said-v2 install
• The simplified npx @endlessblink/like-i-said-v2 install will NOT work on Windows
• For PowerShell issues, try: cmd /c "npx -p @endlessblink/like-i-said-v2 like-i-said-v2 install"

Config locations:

• Claude Desktop:
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json
• Cursor:
  • Windows: %USERPROFILE%\.cursor\mcp.json
  • macOS/Linux: ~/.cursor/mcp.json
• Windsurf:
  • Windows: %USERPROFILE%\.codeium\windsurf\mcp_config.json
  • macOS/Linux: ~/.codeium/windsurf/mcp_config.json

Reset installation:

npx -p @endlessblink/like-i-said-v2 like-i-said-v2 install

🔨 Development Setup

If you want to run from source:

# Clone the repository
git clone https://github.com/endlessblink/like-i-said-mcp-server.git
cd like-i-said-mcp-server

# Install dependencies
npm install

# Run development servers
npm run dev:full    # Start both API and React dashboard
npm run dev         # React dashboard only
npm run dashboard   # API server only

# Build for production
npm run build

📊 Memory Storage

• Format: Markdown files with enhanced frontmatter
• Location: memories/ directory organized by project
• Structure: 145+ memories with complexity levels, categories, and relationships
• Features: Real-time file watching, automatic indexing
• API: RESTful API on port 3001 for dashboard integration

🤝 Contributing

Found a bug or want to contribute?

• Issues: GitHub Issues
• Repository: GitHub

📜 License

MIT License - see LICENSE file for details.

Made for AI enthusiasts who want their assistants to remember! 🧠✨