Like-I-Said-memory-mcp-server
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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.
Like-I-Said MCP v2 is a powerful tool that enhances AI assistants by providing them with persistent memory capabilities. This server allows AI to store and recall information, preferences, and context, ensuring that conversations can continue seamlessly even after restarts. The system is designed to be cross-platform, supporting Windows, macOS, and Linux, and offers a modern web interface for easy management. With features like advanced search, analytics, and a card-based UI, users can efficiently manage and organize their AI's memory. The installation process is straightforward, requiring minimal technical skills, and the server is compatible with popular AI clients like Claude Desktop, Cursor, and VS Code.
Features
- Persistent Memory: AI remembers across conversations.
- One-Command Install: Auto-configures all AI clients.
- Cross-Platform: Supports Windows, macOS, Linux.
- React Dashboard: Modern web interface with real-time updates.
- Advanced Search: Full-text search with filters and tags.
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.