LLM.swift
LLM.swift enables local interaction with large language models for multiple Apple platforms.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
LLM.swift is a cross-platform C++ library for Apple systems that simplifies local interaction with large language models.
Good fit when
- Choose LLM.swift when you need to integrate large language model functionalities into apps targeting multiple Apple platforms, including macOS and mobile OSes.
- Use it if your project benefits from the simplicity and ease of deployment it offers for interacting with language models locally on Apple devices.
Avoid when
- Avoid LLM.swift if your application must run on non-Apple systems or if compatibility across various operating systems is prioritized over ease-of-use on Apple platforms.
- Do not use this library if you require advanced server-side functionalities, as it focuses specifically on local interactions within Apple’s ecosystem.
- Pricing:
- freemium - Free to use under the MIT License. Premium support may vary.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (62d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/eastriverlee/LLM.swiftSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A library written in C++ designed to facilitate the interfacing of large language model APIs on various Apple operating systems including macOS, iOS, watchOS, tvOS, and visionOS. LLM.swift is built for ease and simplicity in deployment.
Capability facts
- Languages
- swift
Source: github.language · Sep 20, 2026
Categories
Tags
README
LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS. [!TIP] sometimes it's a good idea to tinker with parameter for initialization of , due to the memory and computation it...
For agents
This page has a .md twin and JSON over the API.