l0ng-ai ceb303aa6c fix(terminal): prefer the OS tokenizer over jieba for CJK selection
jieba's dictionary costs ~55 MB resident and ~130 ms to build, and it was
built eagerly on every terminal-view creation regardless of the
`smart_select` setting or whether the user ever selects CJK text.

macOS already ships a Chinese lexicon in CFStringTokenizer that matches
jieba on most prose, is locale-independent (identical output for current /
NULL / zh_CN / en_US), and segments Japanese and Korean properly where
jieba shreds them into single characters. Make the OS tokenizer the
primary path and keep jieba only as the fallback for platforms with no
such API:

- gate the dependency behind `cfg(not(target_os = "macos"))` so the
  embedded dictionary isn't even linked into the macOS build
- never warm eagerly; the first CJK double-click kicks the build off in
  the background and settles for the unsegmented run, so the UI thread
  never blocks on it
- skip jieba for runs containing kana or hangul, where selecting the
  whole run beats per-character tokens

Also honor `Config::smart_select` in the prompt's command editor, which
did bracket pairing, CJK segmentation and mixed-script narrowing even
with the Settings toggle off.
2026-07-18 21:41:58 +08:00
2026-07-17 16:42:28 +08:00

tty7

tty7

A terminal workbench: shells, sessions, SSH, coding agents.

Pure Rust · GPU rendering on Zed's gpui · VT core from Alacritty


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Why

  • Fast — ~2× the throughput of Alacritty, Ghostty, or Kitty (benchmarks)
  • Sessions persist — quit or reboot; your shells keep running, no tmux
  • Editor-grade input — completion, syntax highlighting, history search built in; zero config for zsh, bash, fish, PowerShell
  • Agent-aware — recognizes Claude Code & co. in a pane: status, notifications, session resume

Install

Native builds for each platform on Releases:

macOS …-macos-arm64.dmg · …-x86_64.dmg drag into Applications
Windows …-setup.exe · portable ….zip
Linux …-x86_64.AppImage chmod +x and run — x11/wayland libs bundled

What's inside

Input ghost suggestions from history · explained tab completion · syntax highlighting · multi-line editing · click places the caret · ⌃ R fuzzy history
Window tabs & splits · ⌘ P palette · ⌘ F scrollback search · eight themes · IME
Coding agents per-pane agent detection (~17 CLIs): status dot, notifications, branch + diff, resume after reboot, tray icon that signals "needs your input"
SSH native russh stack: profiles with keychain secrets, SFTP panel, port forwarding, jump hosts

Details for every row: docs/features.md. Keybindings: ⌘ , opens Settings — browse and remap everything, tmux preset included (full list).

Benchmarks

Same machine, same day, same 155×40 grid — Apple M1 Pro, macOS 26.3.1, five-run averages (2026-07-04):

tty7 Alacritty Ghostty Kitty
Plaintext IO — 11 MB cat (lower = better) 95 ms 239 ms 179 ms 185 ms
DOOM-fire frame rate (higher = better) 888 fps 485 fps 552 fps 617 fps
Cold-launch memory 116 MB¹ 105 MB 128 MB 130 MB

¹ GUI 105 MB + the persistent daemon 11 MB.

Methodology and one-command reproduction: scripts/bench/.


S
Description
A terminal workbench in pure Rust: shells, persistent sessions, SSH, coding agents. GPU-rendered on Zed's gpui, VT core from Alacritty.
Readme Apache-2.0
34 MiB
Languages
Rust 99.1%
Shell 0.5%
PowerShell 0.2%
Inno Setup 0.1%