shobrook/wut
A terminal assistant for the hopelessly confused observed · 2026-08-28
Health v2 · maintenance only
22/100
- Activity 0
- Release rhythm 8
- Longevity 97
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1364
- days_rel: 626
- days_push: 621
- n_releases_24m: 1
Adoption not part of the score
1424 stars · 85 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
wut is a Python CLI tool that sends the output of your last terminal command to an LLM (OpenAI, Claude, or a local Ollama model) and returns a plain-English explanation. It requires running inside a tmux or screen session so it can capture the previous command's output.
Use cases
- explain a stack trace from my last command
- decipher an unfamiliar error code in the terminal
- figure out why my command failed
- summarize long log output
- ask follow-up questions about terminal output
- get help fixing incorrect shell commands
When to choose
- you frequently hit confusing errors or stack traces in the terminal
- you want an LLM assistant that works with OpenAI, Anthropic, or local Ollama models
- you already live inside tmux or screen sessions
When to avoid
- you don't use tmux or screen, since output capture requires them
- you don't want terminal content sent to a third-party LLM API
- you need fully offline tooling without any LLM access
Facets
cli-tool · maturity active
cli llm-inference developer-tools developer-tools large-language-models cli python terminal-assistant llm error-explanation tmux ollama command-line macos linux
1 source
- readme: https://github.com/shobrook/wut · fetched 2026-08-28 · 748fe09b056b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| shobrook/wut | main | 22 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem