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A terminal built for AI agents. It comes with project workspaces, live process metrics, and native support for Claude Code and Codex. Check it out at github.com/DaniAkash/agent-terminal.
Something @dani_akash_ built that I genuinely wish existed sooner: Agent Terminal.
If you've started running multiple AI coding agents at once — Claude Code in one tab, Codex in another, a dev server somewhere, a git push you forgot about — you already know the chaos. You're constantly tab-switching just to find which agent is waiting on you, and which one quietly gave up an hour ago.
Dani felt that too. So he built a terminal around one simple idea: you should always know what's happening, without having to go look.
A few things that make it different:
Tabs organized by project, not dumped into a flat list. Your brain thinks in projects. Now your terminal does too.
A glyph on every agent tab — idle, working, waiting on you, or done. No more clicking around to find the one that needs your attention.
A live status bar that shows memory, ports, git state, and which model's running — updated every 2 seconds, not whenever you remember to check.
Sessions that survive accidental closes. The PTY reconnects. That 3am cmd+W is no longer a disaster.
It's open source (MIT), macOS for now, built on Tauri + Rust — fast and genuinely out of your way.
Dani is reading every comment today. What part of your AI coding workflow still feels broken? Drop it below 👇
I want to know, does this provide notification/pings when Claude/Codex has completed a run and is idle?
This solves a real problem. I've been living with n terminal tabs open, constantly clicking through them to figure out which agent is spinning and which one stopped silently. Congrats on shipping this — trying it tonight.
About Agent terminal on Product Hunt
“One terminal. Every agent. Total clarity.”
Agent terminal was submitted on Product Hunt and earned 22 upvotes and 11 comments, placing #81 on the daily leaderboard. A terminal built for AI agents. It comes with project workspaces, live process metrics, and native support for Claude Code and Codex. Check it out at github.com/DaniAkash/agent-terminal.
Agent terminal was featured in Productivity (651.8k followers), Developer Tools (512.5k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 222.8k products, making this a competitive space to launch in.
Who hunted Agent terminal?
Agent terminal was hunted by Himanshu. 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 Agent terminal stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hey Product Hunt 👋
Something @dani_akash_ built that I genuinely wish existed sooner: Agent Terminal.
If you've started running multiple AI coding agents at once — Claude Code in one tab, Codex in another, a dev server somewhere, a git push you forgot about — you already know the chaos. You're constantly tab-switching just to find which agent is waiting on you, and which one quietly gave up an hour ago.
Dani felt that too. So he built a terminal around one simple idea: you should always know what's happening, without having to go look.
A few things that make it different:
Tabs organized by project, not dumped into a flat list. Your brain thinks in projects. Now your terminal does too.
A glyph on every agent tab — idle, working, waiting on you, or done. No more clicking around to find the one that needs your attention.
A live status bar that shows memory, ports, git state, and which model's running — updated every 2 seconds, not whenever you remember to check.
Sessions that survive accidental closes. The PTY reconnects. That 3am cmd+W is no longer a disaster.
It's open source (MIT), macOS for now, built on Tauri + Rust — fast and genuinely out of your way.
Dani is reading every comment today. What part of your AI coding workflow still feels broken? Drop it below 👇
— Himanshu (helping out @dani_akash_)