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Like-I-Said

STDIO

Persistent memory server for AI assistants to remember conversations across sessions

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
  • 📊 Web Dashboard - Visual memory management
  • 🔧 6 Memory Tools - Complete memory management suite

🚀 Quick Install

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

That's it! The installer will:

  • ✅ Auto-detect your AI clients (Claude Desktop, Cursor, Windsurf)
  • ✅ Configure MCP settings automatically
  • ✅ Test server functionality
  • ✅ Preserve existing MCP servers

🎯 Supported AI Clients

ClientStatusPlatform
Claude Desktop✅ Full SupportWindows, macOS, Linux
Cursor✅ Full SupportWindows, macOS, Linux
Windsurf✅ Full SupportWindows, macOS, Linux
Claude Code (VS Code)✅ Full SupportWindows, macOS, Linux
Continue✅ Full SupportWindows, macOS, Linux
Zed Editor✅ Full SupportWindows, macOS, Linux

🛠️ Available Tools

After installation, your AI assistant will have these tools:

  • add_memory - Store information with optional tags
  • get_memory - Retrieve specific memory by ID
  • list_memories - Show all stored memories
  • delete_memory - Remove specific memory
  • search_memories - Search through memories by content
  • test_tool - Verify MCP connection

📋 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 @endlessblink/like-i-said-v2 init

Web Dashboard

npm install @endlessblink/like-i-said-v2 cd node_modules/@endlessblink/like-i-said-v2 npm run dev:full

Visit http://localhost:3001 for visual memory management.

Manual Server Start

npx @endlessblink/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
  • Check client-specific logs

Config locations:

  • Claude Desktop: %APPDATA%\Claude\claude_desktop_config.json (Windows)
  • Cursor: %USERPROFILE%\.cursor\mcp.json (Windows)
  • Windsurf: %USERPROFILE%\.codeium\windsurf\mcp_config.json (Windows)

Reset installation:

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

📊 Memory Storage

  • Format: JSON-based persistent storage
  • Location: memories.json in package directory
  • Backup: Automatic backup creation
  • Migration: Preserves existing memories

🤝 Contributing

Found a bug or want to contribute?

📜 License

MIT License - see LICENSE file for details.


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

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