jebi is a supercharged Mac terminal with built-in local AI — no API key, no subscription, no cloud. After every command, it suggests what to run next. Hit an error? jebi explains it in plain English and tells you how to fix it. Type /ask to chat with AI right in your terminal. All AI runs on-device with Qwen, Phi-3, and Gemma — your commands never leave your Mac. Beautiful UI, split panes, tabs, custom themes, grain texture, and slash commands like /ls and /ports.
Hey PH! 👋
I built jebi because I was tired of alt-tabbing to Google every time a command failed or I forgot a git flag. I wanted AI in the terminal — not as a separate app, not a cloud service, just quietly available when I need it.
The hardest part was keeping it out of the way. Most AI tools interrupt your flow. jebi only speaks up after an error (to explain it) or after a command (to suggest what's next). Otherwise it stays silent.
But beyond AI, I also wanted a terminal that actually looks good. jebi has split panes, tabs, custom themes, a grain texture, and a clean input bar with ghost-text suggestions — the kind of polish you'd expect from a modern Mac app, not a terminal emulator from 2005.
Everything runs locally — Qwen, Phi-3, Gemma — no API key, no subscription. Your commands never leave your machine.
It's free, open source, and installable in one line:
brew install --cask jebi
Would love to hear what you think — especially if something breaks 😅
Local and no cloud is what sells me. Keeping everything on my own machine beats having the smartest model. Nice work.
The restraint is what sells it for me — AI that only speaks up after an error or a finished command beats an always-on copilot stealing focus. With Qwen, Phi-3, and Gemma all running on-device, how do you route between them: is each model pinned to a task (error-explain vs /ask vs next-command suggestion), and what's the rough resident memory footprint with them loaded? On a 16GB Mac that's the one thing I'd want to know before switching my daily terminal.
local model in the terminal is the right instinct — the cloud round-trip is what kills flow when you just want a quick command rewrite. the quality-vs-resident-size tradeoff is where this gets interesting.
Suggest and explain, rather than act, is the right default for a terminal. The terminal is too close to real damage for autonomy-first UX; the product earns trust by making the next step legible and still requiring intent.
Can you tune how proactive it is or turn suggestions off for certain commands?
The terminal is such an interesting place for this because the cost of a wrong suggestion is higher than in a text editor. Curious how you're thinking about trust: does jebi mostly suggest/explain, or can it also take action directly inside the shell?
About jebi on Product Hunt
“A supercharged terminal for Mac with built-in local AI”
jebi launched on Product Hunt on June 23rd, 2026 and earned 135 upvotes and 24 comments, placing #11 on the daily leaderboard. jebi is a supercharged Mac terminal with built-in local AI — no API key, no subscription, no cloud. After every command, it suggests what to run next. Hit an error? jebi explains it in plain English and tells you how to fix it. Type /ask to chat with AI right in your terminal. All AI runs on-device with Qwen, Phi-3, and Gemma — your commands never leave your Mac. Beautiful UI, split panes, tabs, custom themes, grain texture, and slash commands like /ls and /ports.
jebi was featured in Mac (103.5k followers), Developer Tools (514.5k followers), Artificial Intelligence (471.8k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 207.3k products, making this a competitive space to launch in.
Who hunted jebi?
jebi was hunted by Jawahar Selvaraj. 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.
Want to see how jebi stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jawahar Selvaraj