App Store
Version 1.7.1 · 2026-10-24
Improved ad privacy and reduced interruptions.
Too little checked to say Store information only. We haven’t analysed this app or read its reviews yet.
Not yet tested.
The store currently lists version 1.7.1, updated 2026-10-24.




Store screenshots supplied by the developer.
Transform your iPhone, iPad, or Mac into a private, local LLM AI server. This powerful utility allows you to run Large Language Models (LLMs) powered by Apple Intelligence directly on your device, providing an OpenAI-compatible API and Ollama compatible API for your development and testing needs.
Run a local AI LLM server on your Apple Intelligence enabled device to give private, local edge AI abilities to your applications.
Note: This app requires iOS 26.0/macOS 26.0 or above to run Apple Intelligence models.
Free version: 100 free requests per day, resetting at midnight. Local LLM Server Pro (separate paid app) has no limit, no ads, and no tracking.
**Key Features:**
* **Local Server Hosting:** Run a fully functional LLM server right from your pocket.…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
No review analysis published for this app.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
No package has been scanned for this app, so nothing is published about what it ships. That is an absence of evidence, not a finding.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
Not yet tested. No analysis has been run for this app, so there is no version or date to report.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
Improved ad privacy and reduced interruptions.
local-llm-serverWhat the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
No itemized purchase list is available for this listing.
Not yet tested. No analysis has been published for this app, so there is no method to describe for it yet. A missing label is not a clean bill of health: it means nothing has been read, not that nothing is wrong.
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