ratel: Ratel is a context engineering layer for AI agents that optimizes tool usage by selecting only relevant tools for each task. It aims to reduce token costs and improve accuracy for LLMs by preventing 'tool overload' without relying on vector databases or embeddings.; DesktopCommanderMCP: Desktop Commander MCP is an AI-powered tool that allows users to search, update, manage files, and execute terminal commands. It extends AI capabilities beyond traditional editors, enabling task automation and in-memory code execution while leveraging host client subscriptions.
Developing AI agents in Python or TypeScript that efficiently manage external tools
Automated organization of file directories (e.g., Downloads folder)