Kerlig

Kerlig

Kerlig is a native macOS AI writing app that puts 350+ models one ⌥+space keystroke away in any app.

80/100Safe BetFrom $49/oncePaid

If you're on a Mac and write all day, Kerlig earns its menu-bar slot — $49 once beats a year of ChatGPT Plus, provided you're willing to manage your own API keys and watch token spend. Grammarly is easier to start with and includes the intelligence in the subscription; Kerlig gives you real model choice (Claude Opus 5.5, GPT-6 Astra/Sol/Luna, Gemini 3.6 Flash, or local Apple Foundation Models) and control over which provider sees your text. Pick Kerlig when the bottleneck is switching windows,

Verified 3d ago · liveness 80/100 · cite: rightaichoice.com/tools/kerlig

Best for
  • Mac users who write emails, Slack replies, and Jira tickets all day
  • Developers, PMs, and designers who want AI at the cursor without switching windows
  • Non-native English speakers needing fast grammar and phrasing help
  • Mac-heavy teams that prefer a one-time license plus their own provider keys
Not ideal for
  • Windows or Linux users — Kerlig is macOS 12+ only
  • Teams needing shared browser workspaces or cross-platform collaboration
  • People who want the intelligence bundled into a subscription instead of bringing API keys
Visit Website

IntermediateSolo Mac user: download the app, paste one provider API key, and you're writing in about ten minutes — the ⌥+space hotkey works immediately. Add another 5-10 minutes if you also configure local models via Ollama or LM Studio. Team lead: budget an hour for the $297 Team license, since distributing to ten Macs uses CLI commands and each person still needs a provider key. Expect a short detour ifDesktop · CLINo public APIVerified 3d ago
Pricing
From $49/once
Paid3 plans4 hidden costs
Learning curve
Intermediate
Solo Mac user: download the app, paste one provider API key, and you're writing in about ten minutes — the ⌥+space hotkey works immediately. Add another 5-10 minutes if you also configure local models via Ollama or LM Studio. Team lead: budget an hour for the $297 Team license, since distributing to ten Macs uses CLI commands and each person still needs a provider key. Expect a short detour if
Runs on
DesktopCLI
No public API · 15 integrations
Who it's for
Product manager on a MacNon-native English speaker in a client-facing rolePhD student doing a literature pass
Live sentiment
Is Kerlig actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Kerlig if you work on Windows or Linux, if you need a shared browser-based workspace for your team, or if you would rather a subscription cover the model costs than manage your own API keys and token spend.

The 30-second take
Biggest gripe

The license doesn't include intelligence — every prompt is billed by your provider, so heavy Deep Research or Agentic Mode sessions show up on your OpenAI, Anthropic, or Google invoice, not Kerlig's

Price reality

One-time pricing suits a solo Mac user or a small Mac team that wants to stop renting AI. At $49 Basic for one Mac, $79 Pro for two, or $297 Team for ten, Kerlig undercuts a year of ChatGPT Plus per person — but you add your own token bill on top. Compare against Grammarly's subscription, which bundles the model into the fee, and against free ChatGPT Desktop if you don't need in-app invocation.

In short

Kerlig — Kerlig is a native macOS AI writing app that puts 350+ models one ⌥+space keystroke away in any app. Best for Mac users who write emails, Slack replies, and Jira tickets all day, Developers, PMs, and designers who want AI at the cursor without switching windows, Non-native English speakers needing fast grammar and phrasing help. Plans from $49.

What's new in Kerlig

Checked 2 days ago

Across the latest 7 updates: 3 feature updates and 4 changelog entries.

What people actually say about Kerlig — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

25 mentions across 2 sources (Bluesky, Lemmy) · researched Jul 5, 2026.

43% positive57% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Native macOS app with global hotkey for instant access.
  • +Supports 350+ models from OpenAI, Anthropic, Google, local, etc.
  • +One-time purchase model—no recurring subscription fees.
  • +On-device Apple Foundation Model support for privacy.
  • +Clever web summarization via direct HTML reading.
Recurring frustrations
  • −Very limited community feedback to validate claims.
  • −Only macOS—no Windows, Linux, or mobile support.
  • −Requires bringing your own API keys and paying tokens.
  • −Buzz appears mostly from the developer, not organic users.
  • −Low revenue per visit suggests limited market traction.
Patterns worth knowing
On-device/local AI model support is a key differentiator and praised for privacy.
Seen on Bluesky
Native macOS integration and web summarization via AppleScript are standout features.
Seen on Bluesky
Community buzz is minimal and heavily driven by the developer's own social media.
Seen on Bluesky
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • • Users must pay AI provider token usage separately (e.g., OpenAI API fees).
  • • No free trial or demo mentioned in community data.

Viability Score

80/100
Safe Bet

How well maintained and how widely used is Kerlig? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
43
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Global ⌥+space hotkey invokes AI in any Mac app
  • Proofread spelling and grammar before you hit Send
  • Rewrite, summarize, translate, and shorten selected text
  • Chat interface with editable prompts and regenerated responses
  • Analyze attachments: webpages, ebooks, PDFs, images, YouTube transcripts
  • Dictation for voice input
  • Deep Research with reasoning models and clickable citations
  • Reasoning models expose chain of thought
  • Agentic Mode reads the active window, fetches links, checks clipboard (v2.8.0)
  • MCP server connections via OAuth sign-in or pasted JSON config
  • 350+ models including Claude Opus 5.5, Claude Fable 5.1, GPT-6 Astra, Sol, Luna (v2.8.3)
  • Local models via Apple Foundation Models, Ollama, LM Studio
  • Headless mode runs actions in the background
  • Reads selections directly in most apps without touching the clipboard (v2.7.0)
  • Custom actions, presets, and prompt library

About Kerlig

PaidIntermediateNo APIDesktop · CLI

Kerlig is a native macOS app (macOS 12+, Apple Silicon and Intel) for people who write for a living and are tired of relaying text through a browser. Hit ⌥+space in whatever window you have open and proofread an email before you hit Send, draft a Slack reply that sounds like you, tighten a Jira ticket, or chat with a webpage, ebook, PDF, image, or YouTube transcript — no tab switching, no copy-paste loop. Built-in actions cover fix spelling and grammar, improve writing, summarize, make shorter, and convert to TypeScript interface, and you can build custom actions and a reusable prompt library on top. You bring your own API keys. Kerlig connects OpenAI, Anthropic, Google Gemini, Groq Cloud, OpenRouter, xAI, Perplexity, Mistral, and Amazon Bedrock, plus local routes through Apple Foundation Models, Ollama, and LM Studio, with 350+ models switchable in one click. Messages go straight to your chosen provider, then get stored and encrypted on your Mac. Deep Research runs reasoning models over online data with visible chain of thought and clickable citations. Agentic Mode landed in v2.8.0 (August 17, 2026): the AI reads your active window, fetches links, checks the clipboard, and searches past Kerlig chats, with live step-by-step approval the first time each tool runs. The same release added MCP server connections with one-click OAuth or a pasted JSON config, so Notion, Linear, Slack, GitHub and thousands more can be wired in. v2.8.3 (September 23, 2026) added Claude Opus 5.5, Claude Fable 5.1, and the GPT-6 Astra, Sol and Luna models, toggled in Settings, and v2.8.4 fixed a macOS 27 menu bar glitch. Licensing is one-time, not a subscription — Basic $49, Pro $79, Team $297 — and after that you only pay providers for the tokens you burn. It's the pragmatic pick over Grammarly plus a ChatGPT subscription if you're Mac-only and comfortable wiring up your own keys.

Behind the Verdict

The pitch is narrow and honest: stop alt-tabbing to a browser to ask an LLM something. Kerlig lives in the menu bar, grabs your selection or your active window, and answers in place. We'd reach for it in the middle of a Slack thread or a client email, where the friction of switching apps is the actual problem — not the model quality. Where it wins is model choice. Because you supply the keys, you can point Kerlig at Claude Opus 5.5 for long rewrites, a fast Groq model for quick grammar passes, or Ollama locally when the text shouldn't leave the machine. Few writing assistants let you make that call per-action, and almost none let you do it with zero subscription. Agentic Mode is the more interesting addition. Giving the app permission to read the active window, pull a link, or check the clipboard turns it from a text polisher into something closer to a lightweight assistant — but the approval prompts exist for a reason, and you should read them rather than click through. MCP support matters mainly if you already run Notion, Linear, or GitHub next to your writing. Cost honesty cuts both ways. A one-time $49 is cheap next to any monthly AI subscription, but you'll be paying OpenAI or Anthropic per token, and heavy Deep Research sessions with reasoning models add up faster than a fixed plan. Budget for that before you declare it cheaper. The closest alternative is Grammarly, and the split is clean: Grammarly includes the intelligence in its fee and works on every platform; Kerlig is macOS-only, needs your keys, and hands you the model roster. ChatGPT Desktop is another competitor, but it still asks you to leave your window and paste. In practice, the friction is setup — creating keys, choosing models, deciding which actions get hotkeys. That's a one-evening job for a

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Real-world workflow fit

Concrete scenarios for the personas Kerlig actually fits — and what changes day-one when you adopt it.

Product manager on a Mac

Opens a Jira ticket, selects the rambling description, hits ⌥+space, runs Make shorter, then switches to Slack and uses a custom preset to answer a stakeholder thread in their usual tone.

Outcome: Two edits done without leaving either app or pasting anything into a browser; the ticket ships readable and the Slack reply sounds like them.

Non-native English speaker in a client-facing role

Drafts a client email, runs Fix spelling and grammar, then Improve writing, checks the diff against the regenerated response in the chat panel, and sends.

Outcome: Clean professional phrasing without a separate grammar subscription, and the original wording stays one click away if the rewrite goes too far.

PhD student doing a literature pass

Attaches a PDF and a YouTube lecture transcript to Kerlig, asks for a summary with Deep Research on, then opens the cited sources in the browser from the citation links.

Outcome: Notes with verifiable references in one pass, using a reasoning model whose chain of thought is visible if they want to check the working.

Use Cases

Models Under the Hood

Claude Opus 5.5Claude Fable 5.1GPT-6 AstraGPT-6 SolGPT-6 LunaGPT-5.6Claude Opus 5Claude Sonnet 5Gemini 3.6 FlashQwen3.6 on Groq

as of 2026-10-17

Limitations

  • Kerlig is a native macOS writing app (macOS 12+, Apple Silicon & Intel) invoked via the ⌥+space hotkey; there is no evidence of Windows, Linux, mobile, or web app versions.
  • It uses your own API keys to call providers such as OpenAI, Anthropic, Google Gemini, Groq, Ollama, OpenRouter, Perplexity, LM Studio, Mistral, Amazon Bedrock, and x AI, so provider token costs are separate from the $49 license and pricing shown is purchase/download oriented.
  • The newest models (Claude Opus 5.5, Claude Fable 5.1, and the GPT-6 Astra/Sol/Luna set) must be manually enabled in Settings under the Anthropic and OpenAI sections, and some features (Agentic Mode, MCP tools) require explicit opt-in per action.

as of 2026-10-08

Verification history

We have re-verified Kerlig 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 9 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
$588
Over 12 months
Effective monthly
$49
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Kerlig tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Basic License

$49/once

Ideal for

Solo Mac user — a designer, developer, or freelancer who writes all day on one machine and is happy to manage a single provider API key.

What this tier adds

Starting tier: $49 once for one Mac and lifetime updates, with Agentic Mode, MCP servers, vision, attachments and presets included.

Pro License

$79/once

Ideal for

One person running a desktop plus a laptop, or two people who each write heavily and want a shared purchase rather than two Basic licenses.

What this tier adds

Adds a second Mac seat over Basic and shortens support response to 24h; the vendor frames it as saving $19 versus buying two Basics.

Team License

$297/once

Ideal for

A small Mac-only team — product, design, or engineering — that wants one purchase covering ten writers and a repeatable install process.

What this tier adds

Adds eight more seats over Pro plus remote deployment via CLI commands and priority Zoom and email support.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • The license doesn't include intelligence — every prompt is billed by your provider, so heavy Deep Research or Agentic Mode sessions show up on your OpenAI, Anthropic, or Google invoice, not Kerlig's
  • Running 350+ models means multiple provider accounts, and each one needs its own billing set up with a card on file before the model will answer
  • Pro at $79 covers two Macs and Team at $297 covers ten — a growing Mac fleet needs more seats at full license price, since upgrades aren't priced per extra seat on the published page
  • Prices are in USD and VAT may apply, so non-US buyers pay more than the sticker at checkout

Where the pricing makes sense

The company stage and team size where Kerlig's pricing actually pencils out — and where peers do it cheaper.

One-time pricing suits a solo Mac user or a small Mac team that wants to stop renting AI. At $49 Basic for one Mac, $79 Pro for two, or $297 Team for ten, Kerlig undercuts a year of ChatGPT Plus per person — but you add your own token bill on top. Compare against Grammarly's subscription, which bundles the model into the fee, and against free ChatGPT Desktop if you don't need in-app invocation.

Setup time & first value

How long it actually takes to get something useful out of Kerlig — broken out by persona, not the marketing-page minute.

Solo Mac user: download the app, paste one provider API key, and you're writing in about ten minutes — the ⌥+space hotkey works immediately. Add another 5-10 minutes if you also configure local models via Ollama or LM Studio. Team lead: budget an hour for the $297 Team license, since distributing to ten Macs uses CLI commands and each person still needs a provider key. Expect a short detour if

Switching to or from Kerlig

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From ChatGPT in a browser: paste your existing custom instructions into a Kerlig preset, then invoke it with ⌥+space instead of opening a tab
  • →From Grammarly: keep Kerlig for rewrite and summarize while you decide — it does proofreading through Fix spelling and grammar but has no browser extension
  • →From Raycast AI: recreate your most-used prompts as Kerlig custom actions and point them at the same provider keys
  • →From Ollama's CLI: Kerlig connects to the same local Ollama install, so your downloaded models stay usable behind a hotkey
  • →From Apple Writing Tools: Kerlig adds 350+ hosted models and cited Deep Research on top of the Apple Foundation Models route you already have on macOS
Migrating out
  • ↗To a bundled subscription assistant: if you'd rather not manage keys, a subscription tool covers the model cost but gives up per-provider choice
  • ↗To a browser extension: Grammarly covers web typing across platforms but not native Mac apps like Jira or Obsidian
  • ↗To a team writing platform: if you need shared workspaces and review workflows, Kerlig's CLI-based team deployment won't fill that gap
  • ↗To free ChatGPT Desktop: fine if you only need occasional help and don't mind leaving your app to get it

Integrations

NotionLinearSlackGitHubStripeSentryFigmaMetabaseOpenAIAnthropicGoogle GeminiGroq CloudOpenRouterOllamaPerplexity

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Kerlig”, and we withheld 6: 6 could not be judged, because “Kerlig” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Kerlig.

Tools that pair well with Kerlig

Common stack mates teams adopt alongside Kerlig, with the specific reason each pairing earns its keep.

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