# Privacy AI: Agent & Chatbot — Local & cloud LLMs, 60+ tools

> AI fiction studio, character roleplay, and multi-model AI runner with extensive tools. (iPhone/iPad app by AcmeUp Inc..)

- Source: https://appshunter.io/ios/app/privacy-ai-agent-and-chatbot/id6738392421 (this page in markdown: same URL + `.md`)
- Developer: [AcmeUp Inc.](https://appshunter.io/developer/1780566149)
- Category: Productivity, Developer Tools
- Price: Free with in-app purchases
- Rating: 4.80/5 from 20 App Store ratings · 13 written reviews indexed
- Age rating: 17+
- Requires: iOS 18.0 · 3.2 GB
- Languages: American English, French (France), German (Germany), Italian, Japanese, Korean, Brazilian Portuguese, Russian, Chinese (Simplified, China), European Spanish and 1 more
- Released: 2025-07-18
- Data updated: 2026-09-10
- Monetization: free with in-app purchases
- User reviews in markdown: https://appshunter.io/ios/app/privacy-ai-agent-and-chatbot/id6738392421/reviews.md

## What is Privacy AI?

Privacy AI is both a chatbot and an agent, and both run on your device. Ask it a question, or give it a goal and it will plan, use tools, and come back with a report. Local models work fully offline, and nothing leaves your phone unless you connect a cloud provider yourself.

Agent
- Give it a goal and it keeps working across as many turns as that takes, instead of answering once
- It plans first, calls tools, keeps its own folder of files, and delivers a written report you can share and reopen later
- Suited to work that has to be broken down first, such as deep research, a multi-leg trip, or comparing options
- Teach it with Skills: folders of instructions and scripts it can call by name

Chat
- Set model tiers once (fast, capable, reasoning, local), then just type
- Smart Chat routes each message by complexity and privacy, and keeps sensitive text local
- Switch local and remote models mid-conversation, keeping context

Run Models Locally or in the Cloud
- On-device GGUF and MLX models, with vision and tool-calling
- Connect to OpenAI, Claude, Gemini, DeepSeek, or any OpenAI-compatible server
- Apple on-device Foundation Model (iOS 26+)

System Keyboard
- Bring Privacy AI into any app: dictate by voice, or Process to rewrite, translate, and reshape text in place
- Build named pipelines (Polish then Translate) or use presets like Proofread and Email
- Types in 11 languages with Pinyin, Japanese, and Korean input

Mini Apps
- Doc Scanner: turn a PDF, a photo, or a camera scan into clean Markdown, with tables and equations intact
- Email Assistant: triage any IMAP inbox on device, with a dated report you can undo one tap at a time
- Knowledge Wiki: a cross-linked knowledge base from your documents, with a graph and cited answers
- LLM Council: query several models in parallel and synthesize one answer
- Custom assistants with instructions, an avatar, and a knowledge base

Tools
- 60+ built-in tools: web search, news, calendar, code execution, and more
- Full MCP support with a marketplace, Siri, and Shortcuts

Writing and Voice
- Long-form writing assistant that drafts outlines and chapters
- Text to Audio: turn a document into a single audio file using on-device voices
- Real-time voice chat and live transcription

Files and Content
- Convert PDFs, Office files, EPUB, video, and audio to Markdown, with OCR
- Media Studio: generate images with your provider

Accessibility
- VoiceOver support, sound and haptic feedback, and Verbose Announcements
- View Assistant: point the camera and hear what is in front of you

Free to Use. No Ads.
Local model features are free, including the AI keyboard, knowledge wiki, writing assistant, custom assistants, 60+ tools, document reader, and image generation. Cloud API models and the MCP marketplace need a subscription.

Privacy by Design
Privacy AI runs on-device. No backend servers. No accounts. No data collection. Every API request is visible in the Protocol Inspector.

Your models. Your device. Your data.

Terms of Use: https://privacyai.acmeup.com/docs/policy/tos.html
Privacy Policy: https://privacyai.acmeup.com/docs/policy/privacy.html

## Key features

- AI fiction novel writing studio
- AI character roleplay studio
- Run local and remote AI models
- AI agents and 40+ built-in tools
- On-device and cloud voice generation
- Convert and export various file types
- Full VoiceOver and haptic feedback support

## Pricing and in-app purchases

Base price: Free.

**Subscriptions**

| Subscription | Price | Period |
| --- | --- | --- |
| Weekly Pro Plan | $3.99 | per 7 days |
| Yearly Pro Plan | $99.99 | per year |
| Monthly Pro Plan | $9.99 | per month |


## Recent user reviews (10 of 13)

All indexed reviews: https://appshunter.io/ios/app/privacy-ai-agent-and-chatbot/id6738392421/reviews.md

### 5/5 — Right direction

*2026-08-07*

**Edited: Dev responded positively and implemented fix right away, 5*

 Overall, I think this is on the right track, though one obvious problem is the text-to-speech feature... what's called "File TTS" isn't actually text to speech.... it's ASR/STT. That label should be corrected.

On top of that, there's already a way to input text and preview how it sounds using the TTS models, so I don't understand why that same option isn't available for other text I'd want converted.

Paying an API provider to run some massive model makes no sense to me when my own device has plenty of processing power for the job, and the drop in quality would be perfectly tolerable.

**Developer response:** Thanks for the honest review, and you are completely right about that label. That tab is for file transcription, so it is ASR, not text to speech. Calling it "File TTS" was my mistake. It is now "File ASR" and the fix is in the next update.

Your second point is a fair hit, and the credit is yours: I had not thought of it. You were right that it made no sense for the local voices to work in the preview box with no way to point them at anything else. The pieces turned out to be mostly there already and just needed wiring together, so I built it. There is now a "Text to Audio" feature that turns any text or document into an audio file using the speech models already on your device, processed in chunks so a long article or a book chapter works fine, and you can resume one you stopped partway. It ships in the next update.

I agree with you on the last point. The phone has plenty of power for this job, the local voices sound good enough, and nothing needs to leave the device or cost anything to run. Thanks for taking the time to write this up.

### 5/5 — Hands down one of the best iOS harness/inference clients.

*2026-07-01*

Top two alongside Minis. You really can’t ask for more when it comes to running AI on iOS, and the development team is constantly pushing newer and newer updates on a regular basis. Just when you think it couldn’t possibly get better, they outdo themselves yet again.

Now this is how app development SHOULD be like. Major respect to the team, and thank you. Infinitely appreciated.

**Developer response:** Thank you so much for this. This kind of message is what makes the work worth it.
It means a great deal to hear that the regular updates are landing well. My goal has always been to make running AI on iOS feel simple and private, and to keep improving it with every release.
I have plenty more planned, and reviews like yours are exactly what keeps the momentum going. If you ever run into something you would like to see improved or added, I would love to hear it.

Thank you again for the kind words and the support.

### 5/5 — Excellent

*2026-06-06*

This app is useful to me because it allows me to understand the capability of my device. Privacy AI is a little bit crowded, but that’s only because it lets you do everything under the sun. Because of this app, I know what models I will be using in apps I am building.

**Developer response:** Thanks so much for the kind review, and for the five stars. I love that you use Privacy AI to see what your device can really do. That is exactly what I hoped for: a private place to try models hands-on before you pick one for your own apps.

Fair point on it feeling crowded. It got that way because I wanted to fit in as much as I could. I am always working to make it easier to get around. If something ever feels buried, just let me know.

Thanks again for the writing.

### 5/5 — What’s in a name?

*2026-04-30*

Using the app so far has been pretty mind blowing. Every other local inference wrapper application has a long way to go before they even touch the capabilities of this thing. It’s nothing shy of ambitious. I just wonder how they devs could put so much thought into the product itself but yet have such a…lackluster name. Anyways, top marks ti the mysterious makers of this masterpiece.

**Developer response:** Thanks for the kind words, really glad the capabilities have impressed you!

You are complete correct about the app's name. When I chose the name, I just wanted to express the idea that privacy protection is at the core of the app. But after it went live, I realized there are quite a few apps with similar names on the App Store, which makes it hard to find mine. I will admit that was a bad call on my part.

Appreciate the top marks regardless. Thank you!

### 2/5 — Very cool app

*2026-04-02*

Has solely a subscription rather than one time payment in-app as an option and also collects tracking data, any data collection beyond typical LLM API usage makes the name pretty ironic.  I get the purpose of the subscription model, and without a one time purchase it segments the potential customers into subscribers and those that will just pass on it entirely.

Analytics are enabled by default too, so it is requiring users to opt-out by default.  These can change in the future but show the direction to begin with and are often followed by typical dev review replies with attempted justifications.  Doesn’t escape the contradictory.

Solid UI. 
Not a lot of justification in contrast, no thanks.

**Developer response:** You are right that "Privacy AI" sets a high bar, and I want to address your points honestly rather than talk past them.
On analytics: the app has no server and requires no account registration. Your conversations, your AI outputs, and your API keys never leave your device. The only third-party data collection is Google Analytics, which captures aggregate feature usage, things like which features are popular and how often certain screens are visited. It does not touch your conversations or any personal content. I acknowledge the contradiction: even aggregate analytics sits uneasily under a privacy-focused name, and I understand why that bothers you.
If you prefer no data is sent at all, you can disable analytics entirely in Settings and nothing will be transmitted. If you want to go further and verify that yourself, the app has built-in proxy support for mitmproxy and Charles. You can route all traffic through either tool and audit exactly what is sent out in plain text. Or if you prefer, you can use any network traffic monitoring software you trust, such as Wireshark, to inspect the same data independently. I am comfortable saying that openly because I have nothing to hide there.
On the subscription: A lifetime purchase model would pull my attention toward supporting a growing base of one-time buyers rather than building new features. The subscription keeps me focused on the things that actually make the app better for everyone using it.
Thank you for the kind words on the UI. That means a lot.
If you have more questions or want to dig into any of this further, feel free to reach out at customercare@acmeup.com, on Discord, or on X at @best_privacy_ai. I am happy to talk through it.

### 5/5 — Powerful

*2026-03-19*

This App is powerful and professional, just as cherry studio & openclaw. The only shame is that it’s too complicated for beginners. And the local model can’t be deleted.

**Developer response:** Thank you so much for the kind words and the five-star review!
Regarding the app size, there are two embedded models included. The first is a Qwen3.5-0.8B-INT4 model (without vision), about 500MB. It is bundled to guarantee the app works out of the box. The second is the Kokoro TTS model at around 80MB, which powers the on-device text-to-speech feature.
I am considering removing the Kokoro model in a future release to reduce the app size by 80MB. The rest of the size comes from various engine libraries including llama.cpp, MLX, JavaScript, and shell, which provide the tool calls and automation capabilities.
I hear you on the complexity for beginners and will keep working on making things more approachable. And deleting local models is something I plan to improve as well.
Thanks again for the support!

### 5/5 — Oh my god…

*2026-03-07*

This app is blowing my mind… This is everything that I’ve ever wanted in a local LLM app…and more. The advanced tools available in this app are kind of insane. I’m sorry but this app puts PocketPal and Locally AI to shame. 

1 small BUG: I can’t seem to set the theme to “auto” mode. I’m stuck at either light or dark mode.

**Developer response:** Thank you so much! This genuinely made our day! We're thrilled Privacy AI has become your go-to local LLM app, and we'll keep pushing to make the tools even better.
Good news on the bug: the "Auto" theme mode fix and a new dark app icon are both coming in next version. The update is already submitted for reviewing.

### 5/5 — Better than I expected

*2026-02-11*

Good app for asking weird questions no other AI would ever answer. Completely private and after you download the models you need it work even offline.
Only thing you have to know is that it uses up a lot of your devices resources.

**Developer response:** Thank you so much for the five-star review! It really means a lot.
You are absolutely right about the local resources. Local models are large files and they do take up significant storage space on your device. That is the trade-off for having full privacy and the ability to work completely offline.
I am planning to add an option to offload models from iCloud Drive to local drive in a future release. This will give you more flexibility in managing your storage.
Thanks again for your kind words and support!

### 5/5 — Most viable advanced local LLM client for iPad

*2026-01-20*

The scaffolding is here for this to become the go-to local LLM app for users who actually know what GGUF and MLX models are. On iOS, day-one support for the latest llama.cpp or mlx-lm updates is basically nonexistent across the ecosystem, so this app has real potential if the developer prioritizes keeping those libraries current.

Right now, there still is not a clean way to import GGUF models with VLM capabilities. I have had to work around this by renaming and swapping in my own VLM models in place of the built-in ones, which is functional but clearly not ideal.

I would very much like to see mlx-audio and mflux integrated, and more broadly, for the app to give the MLX stack more latitude. If the underlying MLX library is new enough to run a model, the app should largely stay out of the way. Features should not be artificially blocked due to UI assumptions or overly rigid integration when the backend already supports them.

With faster library updates and fewer constraints at the UI layer, this could easily become the best serious local AI app on iOS.

**Developer response:** Thank you so much for taking the time to write such detailed and thoughtful feedback. Reviews like yours are incredibly valuable to us and genuinely help shape our development priorities.

Regarding VLM support for GGUF models, you're absolutely right that this isn't properly finished yet. We've actually dived into this issue, but the challenge is that mmproj files don't have a uniform specification and lack consistent URLs across different models. This makes it difficult to design a proper user facing workflow for customization. Additionally, we haven't received much feedback about VLM support until now, so we deprioritized it. But your feedback is exactly what we need to reconsider that decision.

For the MLX stack, I want to make sure I understand your point correctly. When you say "If the underlying MLX library is new enough to run a model, the app should largely stay out of the way", could you clarify what specific limitations or UI assumptions you're experiencing? Are there particular models or features that the MLX backend supports but the app is blocking? Concrete examples would really help us understand what needs to change.
Regarding mlx-audio and mflux integration: We haven't allocated time to these yet. For audio, we've already integrated sherpa-onnx for TTS and whispercpp for STT, and we weren't sure if adding mlx-audio would provide significant additional value. For mflux specifically, while it should theoretically be useful on mobile devices, our previous research showed that due to limited GPU and memory on mobile, the generated images were toy-level quality. We weren't sure if it would be valuable enough, but given your feedback, we're willing to give it a second try. If you have specific use cases or workflows where mlx-audio or mflux would be beneficial, we'd love to hear them. Please feel free to reach out to us at support@acmeup.com with more details. This kind of input directly influences our roadmap.

We're committed to making this the best serious local AI app on iOS for advanced users like you, and we'll be rolling out improvements soon. Thanks again for your insights!

### 5/5 — Literally Years Ahead of Everything Else

*2025-08-08*

I've tried just about every AI client on the App Store, and this is the one. I stumbled on this app when it had zero downloads and found an absolute gem. This isn't just another chat wrapper; it's a full-on AI agent for your phone. You can plug in APIs for basically any model (Gemini, DeepSeek, etc.) and it has tools that let the AI actually do things—manage your calendar, get directions, search your contacts, the list goes on. The "Super Siri" feature that lets you use your own AI model with a voice command is a complete game-changer.
Now, full disclosure, the app is BRAND new, so it's a little rough around the edges. You might hit a few quirks or a random crash here and there as the developer irons things out. But honestly, that's totally expected for something this ambitious. The potential here is just off the charts.
Giving this 5 stars for the vision alone and for what it can already do.

**Developer response:** Thank you for trying Privacy AI when it only had a few downloads. It means a lot that you see what we’re building, not just another chat app, but a full AI workspace and agent for mobile devices.
  We’re glad you tried features like broad API support and the “Super Siri” voice command. Both are designed to put you in control of your AI on your own terms. Our philosophy is simple: AI should run under users’ control, free from Big Tech lock-in, and work exactly the way users need it to.
  The app is still new and not perfect. But we’re shipping fast and improving every week. Thank you for the five stars and for recognizing the vision. Reviews like yours help more people discover Privacy AI and motivate us to make it even better.

## Frequently asked questions about Privacy AI

### What is Privacy AI's Novel Writer feature?

Privacy AI's Novel Writer is a complete AI fiction studio that allows you to write full novels from a single premise. It supports 20 genres, builds structured outlines, and writes chapters with genre-tuned style, ensuring consistent voice and pacing.

### Can I use Privacy AI offline?

Yes, Privacy AI supports offline GGUF and MLX inference on iPhone, iPad, and Mac via llama.cpp. All local model features are completely free with no advertisements.

### What AI models can Privacy AI connect to?

Privacy AI can connect to OpenAI, Claude, Gemini, DeepSeek, or any OpenAI-compatible server. It also supports Apple's on-device Foundation Model on iOS 26+.

### Does Privacy AI have ads?

No, Privacy AI is ad-free. All local model features are completely free with no advertisements. Cloud API models and the MCP Marketplace require a subscription.

### How does Privacy AI handle accessibility?

Privacy AI offers full VoiceOver coverage across all screens and includes sound effects and haptic feedback for non-visual confirmation of AI events. A Verbose Announcements mode reads responses aloud on demand.

### What file formats can Privacy AI convert and export?

Privacy AI can convert PDFs, Office files, EPUB, YouTube, and audio to clean Markdown. It can export content to Markdown, PDF, HTML, EPUB, or JSON.

### What are the subscription options for Privacy AI?

Privacy AI offers a Monthly Access Plan for $9.99/month and a Yearly Access Plan for $99.99/year. These subscriptions are required for cloud API models and the MCP Marketplace.

### How frequently is Privacy AI updated?

The latest version of Privacy AI is 1.9.1, and it was last updated on March 25, 2026. This indicates a relatively frequent update schedule.

## Version history (last 5 releases)

### 3.1.5 — 2026-09-08

BUG FIXES
- Running Python Works Again
An urgent fix. Running Python did not work at all in 3.1.0. The agent and skills rely on it to do real work, so this restores a large part of what they can do.

Update now and your agents and skills can run Python again.

### 3.1.0 — 2026-09-02

FEATURES
- Doc Scanner
Turn a PDF, a photo, or a camera scan into clean text you can read, search, share, or chat with, on device. Each page is analysed twice: a layout model finds every element and its reading order, then each is read on its own with a prompt matched to what it is, so a table stays a table and an equation an equation. Reading a whole page at once is what makes an AI invent text, so Privacy AI does not. An interrupted scan resumes where it stopped. Pick Standard or Thorough detail, whether to keep the page's pictures, and whether to keep page numbers, all changeable afterwards without re-scanning.

IMPROVEMENTS
- Doc Scanner reads more accurately: the model takes its best guess, not a random one of its ten best, and faint text is no longer discarded unread. Agreement with a real paper's own words rose from 93 to 97 percent
- A title repeated on several pages is rendered as a title on each of them, so a multi page form keeps its heading. Figure, chart, and table captions are unchanged
- The on-device engine gains 391 changes from llama.cpp: per chip tuning makes generation faster on every Apple chip from M1 to M5, a memory leak on long conversations is fixed, images are prepared as models expect so every vision model reads better, and video prompts cost about half
- Eleven new model families, four small enough for a phone: Granite SWA, Granite Switch 3B, Nanbeige 4.2 3B, and Pocket TTS, plus BailingMoE3, Kimi K3, MiniMax 01, Qwen3.8 Flash Next, Muse Glimmer, dots3-note, and speculative decoding for GLM-4.5-Air
- The MLX engine gains 54 changes: models load up to 1.8 times faster, Qwen3.5 and Qwen3 mixture of experts models generate faster, large images no longer exhaust memory on Qwen3 VL, Qwen3.5 VL, and GLM-OCR, and tool calls keep whole numbers and long values intact
- New MLX models: Muse Glimmer, 30 billion parameters, reads images and calls tools, Helium and TranslateGemma translate, and Jina Reranker v3 and BGE sort results
- An email run report of ten or more messages gains a search box and a filter over senders, subjects, summaries, categories, and folders, matching accented names and full width Chinese
- What the email assistant created and learned now sits directly under the summary, so undoing an action no longer means scrolling past every thread
- A document outline tells VoiceOver how deep each entry sits and where it jumps, and the reader's loading indicators are named and report progress

BUG FIXES
- Web pages in a chat or agent workspace opened with a server not found error instead of the page, images and all
- A document whose first heading came partway through lost everything above it, and a # inside a code block was read as a heading. Both are fixed, and code blocks stay whole
- The search boxes for choosing a model, finding a server, and picking from a list stayed in English whatever the app language

Open Doc Scanner, point it at a PDF or a photo, and watch a page become text without leaving your device.

### 3.0.1 — 2026-08-28

FEATURES
- Agent
Works toward one goal over many turns. It plans, calls tools, keeps its own files, and delivers a report you can share.
- Skills
A folder of instructions and scripts that teaches the AI how you want a job done, and becomes a tool it calls by name. Import one from a link, a zip, or a folder, or write it in the app.
- Text To Audio
Turn text, PDF, ePub, or Word into one audio file with on-device speech models. Nothing is uploaded, and a long conversion resumes where it stopped.
- Chat About One Email
Start a chat about a single thread from its report, answered by your private model.
- Alerts On Events And Reminders
Events and reminders created from your mail now get an alert.
- Cache Details And Statistics
Each reply shows how much of the prompt came from the provider's cache and what it saved.

IMPROVEMENTS
- Health data tool removed: get_health_data and the Apple Health integration are gone, and no Apple Health data is read
- Cached input is billed at the cheaper rate, so costs and spending limits reflect real spend
- Engine updates: llama.cpp b10333 adds a GPU math fix and new models, MLX 20260810 reads long prompts 9 percent faster
- Python gains numpy, Pillow, and regex on iPhone and iPad, draws charts, and scripts can import others beside them
- Saving, listing, and deleting files are now three named tools, so the AI picks the right one first time
- Every tool's description and input rules were audited, so tools are chosen and called correctly
- Agent runs read their plan back from their own folder and carry reasoning forward
- Skills written for desktop tools work here, with command line steps translated
- Act on an email while reading it, write your own reply, long inbox runs resume after iOS pauses them, and sender rules and report lists collapse older months
- A blocked or verification page is recognized from the server's response, not the wording
- Permanent deletes ask you to type DELETE instead of the item's exact name
- Statistics gains cache columns and charts, an About page, and VoiceOver chart descriptions

BUG FIXES
- With iCloud Drive off, the app leaves iCloud alone, and clearing leftovers is yours to start in Settings
- Chats with automatic tool selection no longer fail before starting on some providers
- MLX models including Gemma 4, Granite 4, and LFM2.5 generate replies again
- Pocket TTS packs are repaired automatically, and Kokoro voices in six more languages work
- Shell commands chained with &&, ||, and ; run every step, and output is complete with no internal tracing
- Flight status, delay, gate, terminal, baggage, and airport boards work again
- Subtitle downloads no longer come back empty on a language mismatch
- Sub-agents run on on-device models, freeing the previous model first
- A rethink keeps tool steps under the previous reply, and a failed retry keeps that reply
- The File TTS tab is now called File ASR, which is what it does
- In Statistics, Refresh reloads the current tab, cards match height, and headings follow your language

Thanks to everyone who reported the File ASR name, the Kokoro voices, and the Pocket TTS packs. Open Agent, give it a goal, and see what it comes back with.

### 2.3.0 — 2026-08-04

FEATURES
- Email Assistant
A new mini app that triages your inbox. Connect any IMAP account with an app password, tap Process Inbox, and the AI reads unread mail, flags what needs a reply, and files the rest into folders under an AI label. Choose to summarize, organize, or also move obvious junk. Each run makes a dated report where every decision undoes with one tap, and your corrections teach your preferences. Passwords stay in the Keychain, content is never stored, and nothing is deleted. Mail can also become calendar events, reminders, and notes.
- Name Your Pipeline Steps
Give each step in an AI Keyboard pipeline its own name, so it shows your label instead of "Custom".
- Reusable Saved Steps
Save any named step to a personal library and reuse it across pipelines, each an independent copy.
- Video on Local Vision Models
MLX vision models can now understand video, not just images. Attach a short clip; set the frame count, rate, and size per model.
- TurboQuant for Long Chats
An opt-in option that keeps your whole conversation in on-device memory by compressing cached values, so long chats use less memory with a small quality trade-off.
- Import MLX Models from ZIP
Add your own MLX model from a ZIP on your device, no download needed. Tap Import From Local, pick a zip with the model folder, and it installs.

IMPROVEMENTS
- Local Engine Update (llama.cpp b10091)
Two-bit (Q2_0) models now run on the GPU on Apple Silicon, and Qwen3-VL reads layouts more accurately. Adds Laguna code models and completes DeepSeek V4 support.
- MLX Engine Update
Major memory savings for vision models: Qwen3.5 VL and Qwen3 VL handle long and multi-image prompts with far less memory, and multi-turn image chats stay consistent. Generation also stops cleanly when the app backgrounds.
- Engine-Aware Model Settings
Settings now show only the options the model's engine actually uses, each tagged with its engine. MLX models now respect Top-K and Min-P.

BUG FIXES
- Memory Profile Stays On Topic
The memory profile now appears only when memory is on and a sector is selected, and no longer blends unrelated sectors together.
- Dismiss The Suggestion Bar
The word suggestion bar can now be closed with an X, and no longer covers the pipeline picker.
- No More Duplicate Imported Models
Fixed a model imported from a local GGUF file reappearing as extra "Recovered from" copies after relaunch. Earlier duplicates are cleaned up.
- Local Chat No Longer Fails When Memory Is On
Local models with memory enabled no longer show a false error. With both models on-device, the chat keeps running and Apple Intelligence saves memories.
- Local Models Remember Your Conversation
Small on-device models no longer claim they cannot remember earlier messages. A hidden bookkeeping line fed to the model as an instruction is gone.
- Long Chat Setting Stays Put
Changing how a local model handles conversations that outgrow its context window now sticks, instead of reverting when set inside a chat.

### 2.2.0 — 2026-07-15

FEATURES
- Open Keyboard On Microphone
The AI Keyboard can open straight into dictation, ready to record the moment it appears.
- Auto-Process After Dictation
Stop recording and your pipeline runs automatically, returning the result in place with one-tap Undo.
- Dictation Sound Cues
Subtle sounds mark when recording starts, when processing begins, and when your text is ready.
- Live Dictation Preview
Your transcription previews live as you speak and is inserted the moment you stop.
- Multi-Language Keyboard
Type across all 11 app languages, with Chinese Pinyin and Japanese candidates, Korean Hangul, and European accents.
- Inline AI Instructions
Tap AI and type an instruction like "intro to Beijing"; it is filled in place while the rest of your text stays put.
- Memory For The AI Keyboard
Attach a memory sector so Process and inline AI use your identity, preferences, and style. Read on device, off until you opt in.
- Knowledge Wiki
Turn your documents into a personal, cross-linked knowledge base the AI builds and maintains, stored on device as plain Markdown.
- Add Sources From Anywhere
Build a wiki from PDF, Word, EPUB, web pages, Markdown, text, CSV, photos, videos, and links.
- Ask Your Knowledge Base
Ask in plain language and get an answer from your sources, linked to the exact pages. Choose Quick or Thorough.
- Interactive Knowledge Graph
See how everything connects in a live map: pinch, drag, and tap any point to open its page.
- Automatic Overview and Insights
Each wiki keeps a living Overview the AI rewrites as you add material, plus AI Graph Insights into the biggest themes.
- Wikis In Your Language
Pick a language and the AI writes every page and answer in it, across all supported app languages.
- Git Sync For Your Wiki
Back up and sync any wiki with GitHub or another Git service: publish, pull, clone, and restore full history.
- Wiki Health Check
A one-tap check finds pages that link nowhere, broken links, and missing pages, with an optional deeper AI review.

IMPROVEMENTS
- One Tap To Polish After Dictation
After you dictate, VoiceOver focus moves to the Process button and reads it aloud, so polishing is one tap.
- Keyboard Steps Keep Your Language
Built-in steps like Rewrite, Casual, and Summarize now stay in your text's language instead of switching to English.
- Rewrite Your Full Selection
Process now rewrites the exact text you select, or Select All for the whole field, handling longer text reliably.
- Local Engine Update (llama.cpp b9993)
New model families including Hunyuan v3, DeepSeek V4, MiniCPM 5, and Unlimited-OCR, faster speculative decoding, and stronger model-file security.
- MLX Engine Update (mlx-swift-lm)
Gemma 3 prompts up to 2.6x faster on Apple Silicon, more reliable Qwen3/Qwen3.5/Qwen2.5 VL vision, plus Mixtral and Mamba2.

BUG FIXES
- Keeps Your Audio In High Quality While Dictating
Keyboard recording no longer drops Bluetooth, AirPods, or the speaker to phone-call quality.

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## Related topics

[privacy ai](https://appshunter.io/ios/topics/privacy-ai) · [aspire ai](https://appshunter.io/ios/topics/aspire-ai)

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-09-10.*
