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Screenshots

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About BentoTerm

Your agents run for forty minutes at a time. Watching one is a waste of you — so you run several, and the problem becomes keeping track of them all. Bento Term is a terminal built for exactly that. A WHOLE TEAM, ONE SCREEN Every agent gets a pane, tinted by what it's doing: blue is working, amber is waiting for you, green is done and you haven't looked yet. You read the room instead of visiting each one. Parallel mode tiles everything; Focus mode gives one pane the whole screen with the rest in a sidebar. SAY IT, DON'T TYPE IT Hold on a pane and talk. Speaking is about three times faster than typing, and Bento reads the screen, so file names and technical words come out right — mixed Chinese/English included. Slide up to send, down to cancel. LEAVE THE DESK, NOT THE WORK Everything runs in tmux on your machine — your Mac, a Linux server, or WSL — over plain SSH, with nothing installed on the other end. Quit the app, close the laptop: nothing stops. Attach from iPhone or iPad mid-run and answer from wherever you are. EVERY DAY - The file tree of every pane's working directory. Tap a printed path and it opens with syntax highlighting, even at :42. PDFs and images too. - Panes move like windows: split, drag, drop — every move is a real tmux move. - Pick a folder, pick an agent, and Bento opens the panes and starts them. No shell needed. - Ten agents recognized out of the box — Claude Code, Codex, Gemini CLI and more — every profile editable, so a tool nobody has heard of yet is one profile away. BUILT LIKE A TERMINAL Native Swift, the same GPU renderer as Ghostty (libghostty), real tmux control mode (-CC). No accounts. Your terminal output never leaves your machines. Free and open source, Apache-2.0. Requires a machine you can ssh into with tmux installed. macOS, Linux and WSL all work.

App privacy

The developer, Chi On Ho, reported these privacy practices to Apple.

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Identifiers: Device ID
  • Usage Data: Product Interaction

Used for: Analytics, App Functionality

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