AI Conversation Logger

AI Conversation Logger MCP server that automatically captures and organizes AI interactions across multiple platforms including Claude Desktop and Cursor, storing conversations in structured markdown format with project-based organization and automatic tagging. The implementation features intelligent project detection through common indicators like package.json or .git directories, creates daily log files with conversation metadata, and includes hook-based automation that triggers logging when conversations end. Built with TypeScript and designed for developers who want persistent conversation history without manual logging, it supports both local project-based storage and global home directory fallbacks, making it valuable for maintaining context across development sessions and tracking AI-assisted coding workflows over time.