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+39
STARS · LAST 30 DAYS
1
PER DAY
#182
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +22 | +39 | +90 |
| Per day | 3 | 1 | 1 |
| Forks gained | +5 | +3 | +10 |
Llama-macOS gained 39 stars in the last 30 days, about 1 a day, and now has 1.6K. It is about 1 year old and has averaged roughly 1.6K stars a year. It ranks #182 among Swift repositories and #4,037 across all languages on GitHubRepo.
Trending Record
7
DAYS ON TRENDING
#924
BEST RANK
Oct 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Llama-macOS has maintained a continuous presence across global trending indexes, peaking at #924. Below is the 30-day activity profile:
💡 Overview
Llama-macOS is an open-source project written in Swift: A cosy home for your LLMs.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, llama-cpp, llms. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Swift for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/ggml-org/Llama-macOS.git
cd Llama-macOS⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Swift 5.9+ / Xcode 15+ (macOS/Linux)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Llama-macOS coordinates its core functionality through a modular Swift pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with Llama-macOS.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install Llama-macOS using your package manager: `git clone https://github.com/ggml-org/Llama-macOS.git`
Initialize your project workspace or configuration file for Llama-macOS.
Import Llama-macOS into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Llama-macOS --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
ggml-org/Llama-macOS is currently ranked #4,037 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,032 | vowsjs/vows | JavaScript | ★ 1.6K | Compare ↗ |
| #4,032 | rooootdev/lara | Swift | ★ 1.6K | Compare ↗ |
| #4,034 | RailsEventStore/rails_event_store | Ruby | ★ 1.6K | Compare ↗ |
| #4,035 | nestjs/graphql | TypeScript | ★ 1.6K | Compare ↗ |
| #4,036 | rstacruz/sparkup | Python | ★ 1.6K | Compare ↗ |
| #4,037 | ggml-org/Llama-macOS This Project | Swift | ★ 1.6K | |
| #4,037 | googleads/googleads-mobile-unity | C# | ★ 1.6K | Compare ↗ |
| #4,037 | benbalter/word-to-markdown | Ruby | ★ 1.6K | Compare ↗ |
| #4,037 | moq-dev/moq | Rust | ★ 1.6K | Compare ↗ |
| #4,037 | google/GNM | Python | ★ 1.6K | Compare ↗ |
| #4,042 | toy/image_optim | Ruby | ★ 1.6K | Compare ↗ |
Frequently Asked Questions
What does Llama-macOS do? +
A cosy home for your LLMs.
What language is Llama-macOS written in? +
The primary language is Swift. Topics include: ai, llama-cpp, llms, macos, swift.
Is Llama-macOS actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 6 open issues being tracked.
How many stars does Llama-macOS have? +
Llama-macOS has 1,551 stars and 122 forks on GitHub.
How does Llama-macOS rank among GitHub repositories? +
With 1,551 stars, ggml-org/Llama-macOS is ranked #4,037 globally across all repositories tracked on GitHubRepo and #182 among Swift projects.
What license is Llama-macOS distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
