Cruise: Intuitive TUI for Container Management with Go and Bubbletea
This repository profile is provided by osrepos.com, an open source repository discovery platform.
Summary
Cruise is a powerful, intuitive, and fully-featured TUI (Terminal User Interface) for managing containers, built with Go and Bubbletea. It offers a visually rich, keyboard-first experience for managing containers, images, volumes, networks, logs, and more, all from your terminal. This tool simplifies repetitive tasks and enhances your development workflow by providing a centralized, interactive management service.
Repository Information
Topics
Click on any tag to explore related repositories
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
Cruise is an innovative TUI (Terminal User Interface) designed to streamline the management of containerization tools. Built with Go and the elegant Bubbletea framework, Cruise provides a visually rich, keyboard-first experience for interacting with containers, images, volumes, networks, and logs. It aims to address the limitations of traditional CLIs by offering an interactive and efficient alternative for developers working in a terminal-first environment.
Installation
To get started with Cruise, please refer to the official installation documentation. The detailed instructions can be found on the project's website:
Examples
Cruise transforms container management into an interactive experience. Users can easily navigate through different views to monitor and control various aspects of their container environment. The TUI allows for quick actions such as starting, stopping, inspecting, and deleting containers, images, volumes, and networks. It also provides detailed views on Docker artifacts and supports features like image vulnerability scanning, all accessible through a responsive terminal interface.
Why Use Cruise?
Many existing container management solutions are often limited to monitoring rather than comprehensive management. Cruise stands out by offering a full management client directly within your terminal. It helps overcome the frustrations of lengthy or repetitive CLI commands, making complex operations simple and interactive. With Cruise, you can:
- Manage the lifecycles of containers, images, volumes, and networks.
- Benefit from a centralized monitoring service.
- Scan images for vulnerabilities.
- Get detailed views on Docker artifacts.
While currently supporting Docker, Cruise has future plans to expand its scope to include multiple containerization tools, Docker Compose support, advanced image manipulation, and enhanced monitoring capabilities.
Links
For more information, to contribute, or to explore the project, visit the official repositories and documentation:
Related repositories
Similar repositories that may be relevant next.
Router: Optimize AI Model Selection and Costs for Agentic Systems
September 28, 2026
The Weave-OS Router is an intelligent model router for agentic systems, optimizing AI model selection for every request. It acts as a drop-in proxy for major AI providers, routing prompts to the most suitable model in under 50ms. This solution helps users significantly cut costs, often by 40-70%, simply by changing an endpoint.
Memoh: An Open-Source Multi-Agent Platform with Dedicated AI Workspaces
September 26, 2026
Memoh is an innovative open-source multi-agent platform designed to provide each AI agent with its own dedicated cloud computer. This includes a filesystem, desktop, browser, network, and persistent long-term memory, ensuring agents remain online 24/7. Users can integrate their own API keys or host existing AI models, fostering a versatile and always-on environment for AI development and deployment.
llm-d Router: Intelligent Orchestration for Multi-Phase LLM Inference
September 25, 2026
The `llm-d-router` is a sophisticated Go service designed as an intelligent entry point for large language model (LLM) inference requests. It orchestrates complex, multi-phase LLM inference pipelines across specialized worker pools, routing requests through an Inference Gateway to disaggregated vLLM workers. By exposing OpenAI-compatible APIs, it simplifies integration and leverages Kubernetes for scalable, efficient deployments.
Inference Gateway: Unifying LLM Providers with a High-Performance API
September 25, 2026
Inference Gateway is an open-source, cloud-native, high-performance proxy server designed to unify access to various language model APIs. It provides a single OpenAI-compatible endpoint, simplifying interactions with multiple LLM providers, from local solutions like Ollama to major cloud platforms. This gateway enables seamless integration and management of diverse AI models, enhancing portability and data privacy.
Source repository
Open the original repository on GitHub.
21 counted GitHub visits