A CLI tool that uses LLMs to explain the output of your last terminal command, helping you understand errors and logs.
wut is a command-line interface (CLI) tool that uses large language models (LLMs) to explain the output of your last terminal command. It helps developers understand error messages, stack traces, and logs by providing AI-generated explanations directly in the terminal, reducing confusion and speeding up debugging.
Developers and system administrators who frequently work in the terminal and need quick explanations for command output, errors, or logs without switching contexts.
wut offers instant, AI-powered explanations for terminal output within your existing workflow, supporting multiple LLM providers and allowing specific queries, making it a versatile tool for troubleshooting and learning.
A terminal assistant for the hopelessly confused
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Supports OpenAI, Claude, and local models via Ollama, allowing users to choose providers based on cost, privacy, or performance needs, as shown in the installation instructions.
Enables users to ask specific questions about command output, such as 'how do i add this to my PATH variable?', providing targeted assistance beyond generic explanations.
Effectively explains stack traces, error codes, and incorrect commands, as demonstrated in the demo with git command errors, speeding up troubleshooting.
Condenses lengthy logs into understandable summaries, saving time and effort when dealing with verbose terminal output, as highlighted in the key features.
Requires being inside a tmux or screen session to capture command output, which limits usability for developers who prefer native terminal environments, as admitted in the roadmap.
Depends on external LLM services or local setups like Ollama, which can incur costs, require internet access, or involve complex configuration for API keys and models.
Lacks automatic command execution for fixes; the --fix option is only on the roadmap, so users must manually implement suggested solutions.