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Rorogogogo/nomoreide: AI-native service workbench

An MCP server and shared daemon for Claude Code, Codex, and Gemini, with CLI, TUI, and web dashboard for managing services, logs, git, and databases.

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Rorogogogo/nomoreide: AI-Native Service Workbench

Rorogogogo/nomoreide is an AI-native service workbench designed for developers working with large language models. It provides a centralized platform for managing AI services, facilitating development workflows, and ensuring efficient resource utilization. This tool acts as an MCP server and a shared daemon, integrating with various AI models like Claude Code, Codex, and Gemini. Its architecture supports seamless interaction through a Command Line Interface (CLI), a Text User Interface (TUI), and a Web Dashboard, offering flexibility for different development environments and preferences.

What it Does

nomoreide simplifies the management of AI-powered services. It enables developers to deploy, monitor, and control AI agents and their associated infrastructure. The workbench handles the complexities of running multiple AI models concurrently, providing a unified interface for interacting with them. This includes managing service lifecycles, accessing logs, and integrating with version control systems like Git. The shared daemon ensures that AI services are accessible and manageable across different tools and interfaces.

Key Features

Who it's For

Rorogogogo/nomoreide is specifically built for AI developers, machine learning engineers, and software architects who are building and deploying applications that leverage large language models. It is ideal for teams working on complex AI projects that require robust service management, efficient debugging, and integrated development workflows. Developers looking to streamline their AI development pipeline, manage multiple AI models effectively, and gain better visibility into their AI service operations will find this tool invaluable.