Run Claude Code, Codex, Cursor CLI, OpenCode or any shell side by side, each in its own Git worktree, with a queue of agents waiting on you and diff review. A separate daemon holds the sessions, so agents keep running when you quit, crash or update the app. Rust desktop app, no Electron or web view. Oct 28 benchmark (Krill 0.2.20 vs Orca 1.4.242, 10 terminals, screen on): 1/7 the memory, idle CPU and install size. Free, Apache-2.0. Apple Silicon Mac; Windows preview.

Hi PH, I'm Owen. I usually have ~10 Claude Code / Codex sessions running at once, each in its own git worktree, and the Electron app I used for that was the heaviest thing on my Mac. So I rebuilt the same workflow as a native app (Rust + gpui, no Electron, no web view).

In our 10-terminal benchmark (Oct 28, Krill 0.2.20 vs Orca 1.4.242, screen on) Krill used 153 MiB vs 1,154 MiB, about 1/7, with 1/7 the idle CPU and install size. Method and raw numbers are in the README.

Install note: the macOS build isn't notarized. The install script verifies the checksum and signature and then removes quarantine, so please read it first or build from source if you prefer. Windows is a preview.

If you run 5+ agents at once, I'd love to hear what breaks first.

Krill

Run parallel AI coding agents natively in Rust, not Electron

Run parallel AI coding agents natively in Rust, not Electron