Show HN: Rmux – Terminal multiplexer for LLM, built with Rust and egui (github.com)

A new terminal multiplexer named Rmux has been introduced, designed specifically for enhanced interaction with large language models (LLMs). Built using Rust and the egui framework, Rmux offers features such as multi-workspace dockable tabs, an OpenAI-compatible API with streaming capabilities, and integrated file tools for reading, writing, and executing code. This tool also allows for the persistence of conversation history and supports smart notifications for background tasks, making it a versatile option for developers and data scientists engaging with AI applications. The significance of Rmux lies in its ability to streamline workflows for those working with LLMs, providing a unified interface to manage interactions and tasks efficiently. Its integration of features like MCP server support and customizable configurations enhances its flexibility, catering to diverse user environments. This innovation not only simplifies the process of building and testing AI-driven applications but also sets a precedent for future tools that combine programming with machine learning interactions, fostering a more productive AI/ML development landscape.