Kaku Terminal: Fast, AI‑Ready Terminal Built on WezTerm

Kaku – The Fast, AI‑Ready Terminal Built on WezTerm

In the age of large language models and AI‑assisted programming, developers are looking for tools that stay out of the way and let the code flow. Kaku (pronounced Ka‑cu) is a fork of the popular WezTerm terminal that has been trimmed, tuned, and pre‑configured for an instant, AI‑friendly experience.

What Is Kaku?

Kaku is a terminal emulator that:

  • Runs instant – Startup latency is virtually zero, thanks to lazy‑loading and a lean binary.
  • Zero config – Polished defaults (JetBrains Mono, OpenCoded theme) mean you can open a window and start coding.
  • Shell‑supplied – Starship prompt, z (smart cd), Delta (syntax‑highlighted pager), and zsh‑completions are baked in.
  • Lua‑ready – Full WezTerm Lua engine for deep customization.
  • AI‑centric – The design was inspired by the constraints of running heavy language‑model tooling inside the terminal.

The repository lives on GitHub: https://github.com/tw93/Kaku.

Why Build Kaku Instead of Using WezTerm?

WezTerm is feature‑rich but requires manual setup for themes, shell tools, and keybindings. Kaku strips unused symbols, pre‑loads only what developers need, and offers a clean installation path via Homebrew or DMG.

Key motivations:

  1. Speed – 40 % smaller binary (~40 MB vs. ~67 MB), 100 ms launch time.
  2. Lightness – Lazy‑load color schemes; optimized macOS font rendering.
  3. Ready‑to‑go – No config files needed to get a powerful AI workflow out of the box.
  4. Consistency – The same behavior across macOS installations.

Getting Started

Install on macOS

brew tap tw93/tap
brew install --cask tw93/tap/kaku

If macOS blocks the app, go to System Settings → Privacy & Security → Open Anyway.

Quick Launch

  • Open the app from Applications.
  • The first launch will automatically set up the shell environment (Starship, z, Delta).

You can also build from source:

git clone https://github.com/tw93/Kaku
cd Kaku
cargo build --release
# The binary is in target/release/kaku

Tip – Keep your ~/.config/kaku/kaku.lua simple: the bundled defaults are fallback only.

Core Features

Feature Description
Zero Config Pre‑loaded JetBrains Mono, OpEncode theme, optimized GPU rendering, smooth animations.
Built‑in Shell Suite Starship prompt, z smart‑cd, Delta syntax‑highlighted pager, zsh‑completions, real‑time syntax highlighting, autosuggestions.
Fast & Lightweight 40 % smaller binary; lazy‑load assets; GPU accelerated core.
Lua Scripting Full WezTerm Lua engine for custom keybindings, layouts, status bars.
Safe Updates kaku update CLI and Homebrew integration.
Shortcut Cheat Sheet macOS‑native shortcuts for split panes, tabs, resizing, navigation, etc.

Performance Benchmarks

Metric WezTerm Kaku
Executable Size ~67 MB ~40 MB
Resources Volume ~100 MB ~80 MB
Launch Latency Standard Instant
Shell Bootstrap ~200 ms ~100 ms

The results come from a single MacBook Pro M2, running the latest macOS beta. Kaku’s aggressive symbol stripping and asset optimisation were visible in every metric.

Terminal Strengths Weaknesses Why Kaku Wins
iTerm2 Feature richness Requires login, older UI, less customisable Kaku is free, no sign‑ins, fully open‑source
Kitty GPU accelerated, tiling Customisation friction Kaku has baked‑in AI tools and instant starts
Warp Modern UI, AI integration Bloat, heavy Kaku is lightweight and zero‑config
Alacritty Fast, minimal Lacks multiple tabs Kaku adds tabbing, splits, and shell suite
WezTerm Highly hackable Needs config Kaku pre‑configures everything for AI workflows

Contributing and Community

Star the repo to help keep the project visible. Consider buying the author a coffee if you love the terminal.

Final Thoughts

Kaku isn’t just another terminal; it’s a ready‑to‑code environment that blends the flexibility of WezTerm with the instant ergonomics you need when running AI models and heavy CLI workflows. Whether you’re a seasoned developer or just starting to experiment with local LLMs, Kaku lets you focus on code, not configuration.

Download the DMG, plug it in, and start creating AI‑enhanced workflows today.

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