Cai
One keyboard shortcut. Local AI. No account, no cloud, no telemetry.
The Panel's Take
Cai (⌥C) is a macOS utility that runs AI actions on anything — selected text, clipboard content, active app context — with a single keyboard shortcut, entirely locally. It ships with Ministral 3B bundled, so it works offline out of the box with no API key, no account signup, and no network requests. For developers who prefer their own stack, it also connects to Ollama, LM Studio, Apple Intelligence, and OpenRouter. Beyond text transformations, Cai acts as a local automation layer: it can open GitHub issue drafts in your browser, create Linear tickets from selected text, run custom shell scripts, and chain multiple actions together. The whole thing is MIT licensed and open source. The UX is intentionally minimal — no chat interface, no persistent window — just a quick invocation overlay that appears, acts, and disappears. The positioning is clear: Cai competes with productivity tools like Raycast AI and PopClip, but wins on the privacy angle. There's no vendor seeing your prompts, no subscription creep, and no dependency on internet connectivity. For developers, writers, and researchers working with sensitive content who want AI assistance without cloud exposure, Cai fills a real gap that bigger AI apps can't — or won't — fill.
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Cai verdict: SHIP 🚀 3 ships · 1 skip from the expert panel Full review: shiporskip.io/tool/cai-local-macos-ai-shortcut-keyboard-ministral-no-cloud-no-account-mit-2026
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“I set up Cai with a custom action to take a stack trace from my clipboard and open a pre-filled GitHub issue in 10 minutes. The Ollama backend means I can use a larger local model when I'm at my desk and fall back to Ministral 3B on the go. MIT license means I can fork it and add my team's internal tools.”
“Ministral 3B is fine for basic text tasks but it stumbles on anything requiring real reasoning or domain knowledge. Most users will hit its limits quickly and need to set up Ollama anyway — which is a non-trivial setup process for non-developers. The privacy story is genuine but the capability bar is lower than what cloud alternatives offer.”
“Cai represents a class of tools that become dramatically more useful as on-device models improve. When Bonsai-scale 1-bit models hit 8B+ quality at 131 tokens/sec locally, Cai's architecture is exactly right — a minimal, composable action layer on top of local inference. The MIT license means the community will build the plugin ecosystem.”
“I've been looking for a way to do quick AI rewrites and tone adjustments in any app — not just in a web browser — without pasting things into a chat interface. Cai works in Figma, Notion, Miro, everything. The local privacy angle matters a lot when I'm working on client content that's under NDA.”