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AISH is an open-source Linux shell built in Rust. It works like your normal terminal — run commands, ssh into servers, open vim, use top — everything through a real PTY. When you need help, type a leading semicolon and describe what you want in plain language. AISH generates the command, shows you a risk rating (low/medium/high), and waits for your OK before running anything dangerous. Apache-2.0. Bring your own model. All data stays local.
Hey PH — I'm one of the makers behind AISH.
Quick context: I spend most of my day in Linux terminals debugging production issues. The AI tools I tried either replaced my shell entirely (I don't want a chatbot) or felt like autocomplete with extra steps.
So I built AISH — it's a real Linux shell (full PTY, so vim/ssh/top all work normally). When I need AI help, I type ; followed by what I want in plain English:
; find all log files modified in the last hour sorted by size
; explain what this iptables rule does
; why is this process eating 90% CPU
AISH generates the command, rates it by risk (low/medium/high), and asks me to confirm before running anything above low. There's an optional sandbox mode for when I want to see what a command would change before it actually runs.
It's written in Rust, Apache-2.0 licensed, and all data stays on your machine. You bring your own model/provider credentials; AISH runs locally in your terminal.
I'd genuinely appreciate feedback on:
- Is the install experience smooth? (one-liner: curl -fsSL https://aishell.ai/repo/install.sh | bash)
- Does the risk grading make sense, or is it annoying?
- What's the first thing you'd want to try it on?
GitHub: https://github.com/AI-Shell-Team...
Thanks for looking.
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About AISH on Product Hunt
“Your Linux shell, with AI help when you need it”
AISH was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #139 on the daily leaderboard. AISH is an open-source Linux shell built in Rust. It works like your normal terminal — run commands, ssh into servers, open vim, use top — everything through a real PTY. When you need help, type a leading semicolon and describe what you want in plain language. AISH generates the command, shows you a risk rating (low/medium/high), and waits for your OK before running anything dangerous. Apache-2.0. Bring your own model. All data stays local.
AISH was featured in Open Source (68.6k followers), Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 218k products, making this a competitive space to launch in.
Who hunted AISH?
AISH was hunted by Abdul Alim. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Abdul Alim