Alternatives
Products that do what Use Natural Language to Run Terminal Commands (Ghost in the Shell) does
Hi HN, I just released a very simple AI Shell / CLI tool that lets you convert natural language directly into executable shell commands. Built with python to simplify terminal workflows and help you quickly run commands without memorizing syntax. It has two main usage modes: One-shot mode: Quickly execute commands using natural language. Example: ai "find all PNG files larger than 5MB" The AI responds with the appropriate command and asks if you want to execute it. Interactive chat mode: Start a terminal chat session with the AI (ai -i) to iteratively build commands or scripts. Some…
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I was constantly googling CLI commands so I built this small CLI tool with GPT3. You can ask for shell commands right from the CLI. You'd need to use your own API KEY for this but it's pretty simple, instructions are in the README Not perfect but not bad either.
2022 · github.com
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Last month, I started learning a Python TUI framework called Textual. After working on a 4x4 board game, I made an interactive app to test your CLI text processing skills with 40 beginner to intermediate level exercises. The app is fairly basic in terms of features — only single input file, so no stdin data, multiple files, etc. Most of the exercises in this app is based on my Computing from the Command Line ebook (https://learnbyexample.github.io/cli-computing/preface.html). I hope to improve the TUI app to support all the 200+ exercises sometime next year.
2022 · github.com
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2023 · github.com
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2015 · github.com
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This is my take on the common "use llms to generate shell commands" utility. Emphasis is placed on good CLI UX, simplicity, and flexibility. `llm2sh` supports multiple LLM providers and lets LLMs generate multi-command sequences to handle complex tasks. There is also limited support for commands requiring `sudo` and other basic input. I recommend using Groq llama3-70b for day-to-day use. The ultra-low latency is a game-changer - its near-instant responses helps `llm2sh` integrate seamlessly into day-to-day tasks without breaking you out of the 'zone'. For more advanced tasks, swapping to…
2024 · github.com
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2023 · github.com
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I originally was just messing with pi-autoresearch. Gave it a sample task to build the most portable coding agent. First cut was 6 KB of shell. Great for one-shots, unusable interactively. I was shocked it actually worked. Started building up -- adding features — but with a self-imposed rule: no new dependencies, and sub 500 LOC. This thing had to be truly portable. Just sh, curl, awk. System primitives only. Which means I did some genuinely disgusting things in awk, including JSON parsing and the OpenAI Responses tool loop with reasoning items carried across turns. It's now ~400 lines. In…
Apr 2026 · pu.dev
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