⚡ Native MLX Swift LLM inference server for Apple Silicon. OpenAI-compatible API, SSD streaming for 100B+ MoE models, TurboQuant KV cache compression, MACOS + iOS iPhone app.
Star History
Momentum
+19
STARS · LAST 30 DAYS
1
PER DAY
#178
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +19 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
SwiftLM gained 19 stars in the last 30 days, about 1 a day, and now has 773. It is about 1 year old and has averaged roughly 773 stars a year. It ranks #178 among Swift repositories and #2,983 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#2301
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
SwiftLM has maintained a continuous presence across global trending indexes, peaking at #2301. Below is the 30-day activity profile:
💡 Overview
SwiftLM is an open-source project written in Swift: ⚡ Native MLX Swift LLM inference server for Apple Silicon. OpenAI-compatible API, SSD streaming for 100B+ MoE models, TurboQuant KV cache compression, MACOS + iOS iPhone app.
Engineered for speed, consistency, and developer ease, it solves common hurdles in apple-sili, inference, ios. 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/SharpAI/SwiftLM.git
cd SwiftLM⚙ 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
SwiftLM 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 SwiftLM.
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 SwiftLM using your package manager: `git clone https://github.com/SharpAI/SwiftLM.git`
Initialize your project workspace or configuration file for SwiftLM.
Import SwiftLM into your codebase or invoke it directly from your terminal.
Execute your test suite or run `SwiftLM --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
SharpAI/SwiftLM is currently ranked #2,983 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,977 | Kizzuwatnaa/DLSS5-Autopilot | Python | ★ 779 | Compare ↗ |
| #2,979 | actix/actix-net | Rust | ★ 778 | Compare ↗ |
| #2,980 | SwiftyLab/MetaCodable | Swift | ★ 777 | Compare ↗ |
| #2,981 | leepeuker/movary | PHP | ★ 776 | Compare ↗ |
| #2,982 | rokartur/BetterCmdTab | Swift | ★ 774 | Compare ↗ |
| #2,983 | SharpAI/SwiftLM This Project | Swift | ★ 773 | |
| #2,984 | marcel/aws-s3 | Ruby | ★ 771 | Compare ↗ |
| #2,985 | Sefaria/Sefaria-Project | JavaScript | ★ 770 | Compare ↗ |
| #2,985 | letstri/druk | TypeScript | ★ 770 | Compare ↗ |
| #2,987 | getsentry/sentry-dotnet | C# | ★ 769 | Compare ↗ |
| #2,987 | MatthiasValvekens/pyHanko | Python | ★ 769 | Compare ↗ |
Frequently Asked Questions
What does SwiftLM do? +
⚡ Native MLX Swift LLM inference server for Apple Silicon. OpenAI-compatible API, SSD streaming for 100B+ MoE models, TurboQuant KV cache compression, MACOS + iOS iPhone app.
What language is SwiftLM written in? +
The primary language is Swift. Topics include: apple-sili, inference, ios, llm, metal.
Is SwiftLM actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 2 open issues being tracked.
How many stars does SwiftLM have? +
SwiftLM has 773 stars and 54 forks on GitHub.
How does SwiftLM rank among GitHub repositories? +
With 773 stars, SharpAI/SwiftLM is ranked #2,983 globally across all repositories tracked on GitHubRepo and #178 among Swift projects.
What license is SwiftLM distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
