This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Agent terminal
One terminal. Every agent. Total clarity.
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 👇
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.
On the analytics side, Agent terminal competes within Productivity, Developer Tools and GitHub — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Agent terminal performed against the three products that launched closest to it on the same day.
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.
For a complete overview of Agent terminal including community comment highlights and product details, visit the product overview.
Himanshu
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_)