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VibeBash

VibeBash
Launch Date: June 12, 2025
Pricing: No Info
AI tools, shell assistant, offline software, command-line interface, privacy tools

VibeBash is an offline AI shell assistant. It turns simple language into shell commands. It uses local AI models through Ollama. This means all work happens on your machine. You do not need an internet connection or API keys. This makes VibeBash a private and secure tool for managing your shell commands.

Benefits

VibeBash has several key advantages. It works entirely offline. This keeps your data on your machine. It turns simple language into shell commands. This makes it easy to use, even if you are not familiar with complex command-line syntax. It is fast because it uses local models. This removes network delays. It is private, as your commands never leave your machine. It supports reasoning models like deepcoder. This gives accurate and smart command suggestions. It lets you review, modify, or skip commands before running them. This gives you full control. It learns from your command history to improve future suggestions. It checks commands, ensuring they are available and providing installation tips if needed.

Use Cases

VibeBash can be used in many ways. It can handle basic shell commands. For example, it can show disk usage, find large files, or stop processes on specific ports. It can also handle more complex tasks. For example, it can optimize Python scripts or compress images in a folder. You can specify the model to use. It has an interactive mode. You can type your requests directly into the VibeBash prompt. You can view and manage your command history and settings. It can do batch operations. For example, it can create backups of configuration files or remove temporary files older than a certain number of days. It can help with error recovery. If a command fails, VibeBash can suggest alternatives.

Additional Information

VibeBash is open-source and available on GitHub. It supports various Ollama-compatible models. These include deepcoder for reasoning tasks, llama3.2 for speed, codellama for code-related tasks, mistral for efficiency, and gemma for lightweight operations. The tool is licensed under the MIT License. This ensures flexibility for both personal and commercial use.

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