Enclave

Enclave

Enclave runs open-source AI models entirely on your iPhone or Mac, so your chats, voice notes, and PDFs never leave the device.

65/100MonitorFree · from $9.99/moFreemium

If your documents and conversations can't touch a server, Enclave is one of the few Apple-native apps that actually delivers local AI rather than just marketing it. The Free Forever Local tier is unusually generous — unlimited local models, voice chat and document chat at $0/mo with no time limit — and Pro's dollar-for-dollar credit conversion ($9.99/mo turning into $9.99 of credits, no markup) avoids the usual reseller markup trap. The honest trade-off: on-device small models are weaker on general knowledge than frontier cloud tools, which is exactly why Pro exists. Pair Enclave with a cloud assistant for the hardest reasoning tasks rather than expecting it to replace one.

Verified 3d ago · liveness 65/100 · cite: rightaichoice.com/tools/enclave

Best for
  • Privacy-conscious Apple users who want AI with no cloud dependency
  • Professionals handling confidential documents that cannot leave the device
  • Travelers, pilots, and remote workers who need AI without connectivity
  • Students and writers using local models for brainstorming and drafts
Not ideal for
  • Users who need frontier cloud model reasoning as their primary daily assistant
  • Heavy cloud AI users who will exhaust $9.99 in monthly credits quickly
  • Teams needing shared workspaces, collaboration, or admin controls
Visit Website

Beginner-friendlyiPhone: download the app from the iOS App Store, pick and download a model — usually a few minutes, and the only step that needs internet — then start chatting; first value in roughly 5-10 minutes. Mac: same flow from the Mac App Store, with longer model downloads for the larger options, so budget 10-20 minutes depending on file size and connection.Mobile · DesktopNo public APIVerified 3d ago
Pricing
Free · from $9.99/mo
FreemiumFree tier2 plans4 hidden costs
Learning curve
Beginner-friendly
iPhone: download the app from the iOS App Store, pick and download a model — usually a few minutes, and the only step that needs internet — then start chatting; first value in roughly 5-10 minutes. Mac: same flow from the Mac App Store, with longer model downloads for the larger options, so budget 10-20 minutes depending on file size and connection.
Runs on
MobileDesktop
No public API · 2 integrations
Who it's for
Consultant handling client contractsApple power user automating errandsWriter brainstorming on a long flight
Live sentiment
Is Enclave actually worth it?

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  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Enclave if you want frontier-class reasoning as your everyday assistant and are not willing to keep a separate cloud tool for the hard questions — the on-device models trade peak intelligence for privacy.

The 30-second take
Biggest gripe

Pro's $9.99/mo converts entirely into cloud credits that reset each billing period — unused credits don't roll over, so light months still cost you the full $9.99.

Price reality

The Free Forever Local tier at $0/mo is genuinely free with no time limit, which undercuts most freemium AI assistants that paywall voice or document chat. Pro at $9.99/mo billed monthly is cheaper than ChatGPT Plus or Claude Pro, and unlike those it converts the full subscription into cloud credits with no markup — but those rivals give unlimited frontier-model usage where Enclave caps you at the credit value of your subscription.

In short

Enclave — Enclave runs open-source AI models entirely on your iPhone or Mac, so your chats, voice notes, and PDFs never leave the device. Best for Privacy-conscious Apple users who want AI with no cloud dependency, Professionals handling confidential documents that cannot leave the device, Travelers, pilots, and remote workers who need AI without connectivity. Free to start; paid plans from $9.99/mo.

What's new in Enclave

Checked 4 days ago

Across the latest 3 updates: 3 news mentions.

What people actually say about Enclave — 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.

73 mentions across 4 sources (Reddit, Hacker News, App Store, Lemmy) · researched Jul 3, 2026.

16% positive84% critical

Average across the 4 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Fully offline and private — no data leaves your device.
  • +Free local model usage with no account or tracking.
  • +Can import any GGUF model from Hugging Face for unlimited variety.
  • +No ads, no telemetry, just pure local AI.
  • +Works in poor reception areas like planes and remote locations.
Recurring frustrations
  • −Frequent crashes when loading custom GGUF models.
  • −Severe hallucination — invents facts and events.
  • −Can't follow conversation threads; loses train of thought.
  • −No option to bring your own API key for cloud models.
  • −Updates sometimes break the app completely.
Patterns worth knowing
App crashes when downloading or using custom models, even small ones.
Seen on App Store
Hallucination and poor conversational coherence are major drawbacks.
Seen on App Store
Privacy and offline capability are highly valued, but reliability is compromised.
Seen on App Store
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
  • • No BYO API key — cloud models require purchasing the Pro subscription.

Viability Score

65/100
Monitor

How well maintained and how widely used is Enclave? 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
16
What the vendor publishes
20

Last calculated: October 2026

How we score →

Key Features

  • Runs open-source AI models offline on iPhone and Mac
  • On-device voice chat using Apple speech recognition and synthesis
  • Chat with PDFs and text files without cloud upload
  • Custom AI assistants with their own system prompts
  • Separate conversation history and context per assistant
  • Trigger AI tasks offline via Siri voice commands
  • Build Shortcuts automations that call local AI
  • Select a specific model per Shortcut, local or cloud
  • Conversation history stored locally with encrypted storage
  • Export conversations or set automatic deletion periods
  • Choose from Llama, Qwen, SmolLM, and Gemma models on iOS
  • Run larger models on macOS using desktop compute
  • Cloud model access to GPT, Claude, Gemini, and DeepSeek on Pro
  • Optimised for the Apple Neural Engine to limit battery drain
  • No account registration and no data collection

About Enclave

FreemiumBeginner-friendlyNo APIMobile · Desktop

Enclave is a local-first AI assistant for iPhone and Mac that runs open-source language models on your own hardware instead of a vendor server. Voice chat uses Apple's on-device speech recognition and synthesis, document chat works on PDFs and text files you import, and custom assistants each keep their own system prompt and conversation history. The app needs the internet only for the initial download and, on macOS, for pulling additional model files; after that it works fully offline. You pick from a curated set of models — the iOS build offers Llama, Qwen, SmolLM, and Gemma tuned for mobile, while macOS can run larger models using desktop compute. Shortcuts and Siri integration let you trigger a specific model per automation, so a private task can stay local while a heavier one goes to the cloud. Pricing splits in two. The Free Forever Local tier is $0/mo and is not a countdown trial: unlimited local models, on-device voice chat, document chat, custom assistants, and Shortcuts are all included. Pro at $9.99/mo billed monthly through the App Store adds GPT, Claude, Gemini, and DeepSeek, and turns the entire $9.99 into cloud credits with no markup — credits reset each billing period and unused credits don't roll over, but local AI keeps working after they run out. There is no account, no sign-up, and no server storing your conversations. Since passing 100,000 downloads, the product has leaned into that privacy contrast rather than chasing cloud parity.

Behind the Verdict

Enclave's value proposition is narrow and real: it is a privacy-first Apple app where the model runs on the device. Every core feature in the scrape supports that — voice chat processed locally with Apple's speech recognition and synthesis, document chat where PDFs and text files are parsed on-device, custom assistants with their own system prompts and separate conversation histories, and Shortcuts/Siri automations that can be pointed at a specific local model so nothing leaves the phone. Conversation history is stored locally and encrypted, with options to delete individual chats, clear all history, export conversations, or set automatic deletion periods. No account registration is required at any tier. The model lineup is deliberately curated rather than open-ended: iOS ships Llama, Qwen, SmolLM, and Gemma optimised for mobile; macOS supports larger models because it has more compute. The app is optimised for Apple's Neural Engine, which matters on battery-constrained iPhone use, and reviewers quoted on the site consistently praise speed and responsiveness on older hardware like an iPhone 12 Pro Max. Where it fits: professionals handling confidential documents, pilots and travelers who work without connectivity, writers and students brainstorming drafts, and Apple power users who want AI inside Shortcuts. Where it doesn't: anyone whose primary assistant needs frontier-class reasoning daily, or teams that need shared workspaces, admin controls, and collaboration — Enclave is explicitly a solo-developer single-user product with no accounts or tracking. Pro's cloud credits are consumed per use and reset each billing period rather than rolling over, so a heavy cloud user will exhaust $9.99 before month-end and be back on local models. One thing to watch: the vendor's own Pro tier is priced at $9.99/mo billed monthly through the App Store. If you need the newest cloud models, Pro's promise is that new models appear within days of launch — the blog's recent coverage of OpenAI's staged GPT-6 Astra rollout (starting September 4, 2026 with Trusted Access Program enterprises) is the kind of release that tests that promise, since API and consumer tiers follow later.

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Real-world workflow fit

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

Consultant handling client contracts

Imports a signed PDF into Enclave on an iPhone with airplane mode on, creates an assistant with a system prompt for contract review, and asks for clause summaries and risk flags.

Outcome: Clause summaries and flagged risks without the document ever leaving the device — the file is parsed locally and the conversation stays in encrypted local storage.

Apple power user automating errands

Builds a Shortcut that takes selected text and pipes it to a specific local model, then triggers it by voice through Siri while driving.

Outcome: Text processing runs offline through Shortcuts and Siri with the model choice fixed per automation, so no prompt data reaches a server.

Writer brainstorming on a long flight

Opens Enclave offline with a Gemma or Qwen model loaded, switches to voice chat to talk through an outline hands-free, then exports the conversation.

Outcome: A usable draft outline produced entirely on-device with no connectivity, exported for later editing.

Use Cases

Models Under the Hood

LlamaQwenSmolLMGemmaGPTClaudeGeminiDeepSeek

as of 2026-09-24

Limitations

  • Local AI is free and unlimited, but the models that fit on a phone are smaller than frontier cloud models, so general-knowledge answers are weaker.
  • Cloud model access sits behind Pro at $9.99/mo billed monthly, and that subscription converts into $9.99 of cloud credits which reset each billing period with no rollover — run out and cloud models go dark until the next period while local AI continues normally.
  • Subscriptions are billed and managed through the App Store, so cancellation goes through Apple.
  • Cloud chats are forwarded but never stored on the vendor's servers.
  • There is no team workspace or shared assistant layer; this is a single-user app.

as of 2026-10-04

Verification history

We have re-verified Enclave 8 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-checked, vendor evidence unchanged
  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 8 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
Free
Over 12 months
Effective monthly
Free
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 Enclave tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free Forever Local

$0/mo

Ideal for

Privacy-first Apple users who only need on-device AI — no account, no subscription, no internet after the initial model download.

What this tier adds

Starting tier: unlimited local models, on-device voice chat, custom assistants, document chat, and Shortcuts/Siri at $0/mo with no time limit.

Pro

$9.99/mo

Ideal for

Solo users who want cloud-model reasoning on demand alongside the free local tier without juggling separate accounts or API keys.

What this tier adds

Adds GPT, Claude, Gemini, and DeepSeek access plus $9.99 of monthly cloud credits for $9.99/mo billed monthly.

Hidden costs & gotchas

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

  • Pro's $9.99/mo converts entirely into cloud credits that reset each billing period — unused credits don't roll over, so light months still cost you the full $9.99.
  • Once cloud credits run out mid-cycle, GPT, Claude, Gemini, and DeepSeek become unavailable until the next reset; only local models keep working.
  • Cloud access is Pro-only — there is no way to plug in your own API key to use cloud models without the $9.99/mo subscription.
  • Billing runs through the App Store, so cancellation, refunds, and subscription management all go through Apple rather than the developer.

Where the pricing makes sense

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

The Free Forever Local tier at $0/mo is genuinely free with no time limit, which undercuts most freemium AI assistants that paywall voice or document chat. Pro at $9.99/mo billed monthly is cheaper than ChatGPT Plus or Claude Pro, and unlike those it converts the full subscription into cloud credits with no markup — but those rivals give unlimited frontier-model usage where Enclave caps you at the credit value of your subscription.

Setup time & first value

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

iPhone: download the app from the iOS App Store, pick and download a model — usually a few minutes, and the only step that needs internet — then start chatting; first value in roughly 5-10 minutes. Mac: same flow from the Mac App Store, with longer model downloads for the larger options, so budget 10-20 minutes depending on file size and connection.

Switching to or from Enclave

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 a cloud chat assistant like ChatGPT: install Enclave, download a local model, and re-create your recurring prompts as custom assistants with system prompts.
  • →From another offline LLM app on iOS: export or copy your saved prompts, create matching custom assistants in Enclave, and import the documents you were querying.
  • →From Apple Notes or a scratch document: import the text as a document chat source and question it locally instead of re-pasting it into a chat window.
Migrating out
  • ↗To a cloud assistant like ChatGPT or Claude: export your Enclave conversations, since history is stored locally and exportable, and rebuild the system prompts in the destination tool.
  • ↗To a desktop local-model stack such as Ollama: reuse the same open-source model families (Llama, Qwen, Gemma) on a Mac and move your standard prompts over manually.
  • ↗To a team collaboration tool: there is no shared-workspace concept in Enclave, so any team knowledge must be re-established in the destination platform.

Integrations

ShortcutsSiri

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Enclave”, and we withheld 6: 6 could not be judged, because “Enclave” 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 Enclave.

Official links

Tools that pair well with Enclave

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

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Frequently Asked Questions

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