Eric-Terminal/ETOS-LLM-Studio
A native LLM client for iOS & Apple Watch. Run local GGUF models offline via llama.cpp, or connect to OpenAI/Claude/Gemini. Features local RAG, Model Context Protocol (MCP) tools, Siri Shortcuts, and cross-device sync. Built with Swift.
⚡ Executive Summary & Quick Facts
Authoritative SourceETOS-LLM-Studio is ETOS-LLM-Studio is an open-source project written in Swift: A native LLM client for iOS & Apple Watch. Run local GGUF models offline via llama.cpp, or connect to OpenAI/Claude/Gemini. Features local RAG, Model Context Protocol (MCP) tools, Siri Shortcuts, and cross-device sync. Built with Swift..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Eric-Terminal/ETOS-LLM-Studio has accumulated 220 GitHub stars and 27 forks. It is written in Swift, licensed under GPL-3.0, and ranks #18,446 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | Eric-Terminal/ETOS-LLM-Studio ↗ |
|---|---|
| Primary Category | ai assistant |
| Language & Stack | Swift |
| Software License | GPL-3.0 |
| Community Traction | ★ 220 stars · ⑂ 27 forks · #18,446 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 13 open issues |
| Target Audience | Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, ETOS-LLM-Studio is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 220 stars and 27 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+13
STARS · LAST 30 DAYS
1
PER DAY
#755
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +3 | +13 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
ETOS-LLM-Studio gained 13 stars in the last 30 days, about 1 a day, and now has 220. It is about 1 year old and has averaged roughly 220 stars a year. It ranks #755 among Swift repositories and #18,446 across all languages on GitHubRepo.
Trending Record
43
DAYS ON TRENDING
#3697
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ETOS-LLM-Studio has maintained a continuous presence across global trending indexes, peaking at #3697. Below is the 30-day activity profile:
💡 Overview
ETOS-LLM-Studio is an open-source project written in Swift: A native LLM client for iOS & Apple Watch. Run local GGUF models offline via llama.cpp, or connect to OpenAI/Claude/Gemini. Features local RAG, Model Context Protocol (MCP) tools, Siri Shortcuts, and cross-device sync. Built with Swift.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-assistant, apple-watch, daily-pulse. 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/Eric-Terminal/ETOS-LLM-Studio.git
cd ETOS-LLM-Studio⚙ 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
ETOS-LLM-Studio 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 ETOS-LLM-Studio.
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 ETOS-LLM-Studio using your package manager: `git clone https://github.com/Eric-Terminal/ETOS-LLM-Studio.git`
Initialize your project workspace or configuration file for ETOS-LLM-Studio.
Import ETOS-LLM-Studio into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ETOS-LLM-Studio --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
Eric-Terminal/ETOS-LLM-Studio is currently ranked #18,446 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #18,407 | ratspeak/Ratspeak | Rust | ★ 221 | Compare ↗ |
| #18,407 | dota2modmanager/dota2-mod-manager | TypeScript | ★ 221 | Compare ↗ |
| #18,407 | hellogumbo/awesome-jev | JavaScript | ★ 221 | Compare ↗ |
| #18,407 | tgacquin/mm3d-dekui | C++ | ★ 221 | Compare ↗ |
| #18,407 | KIexster/god-of-war-recomp | C++ | ★ 221 | Compare ↗ |
| #18,446 | Eric-Terminal/ETOS-LLM-Studio This Project | Swift | ★ 220 | |
| #18,446 | cldwalker/boson | Ruby | ★ 220 | Compare ↗ |
| #18,446 | jgm/lunamark | C | ★ 220 | Compare ↗ |
| #18,446 | jgoerzen/twidge | Haskell | ★ 220 | Compare ↗ |
| #18,446 | OPM/ResInsight | C++ | ★ 220 | Compare ↗ |
| #18,446 | OWASP/json-sanitizer | Java | ★ 220 | Compare ↗ |
Frequently Asked Questions
What does ETOS-LLM-Studio do? +
A native LLM client for iOS & Apple Watch. Run local GGUF models offline via llama.cpp, or connect to OpenAI/Claude/Gemini. Features local RAG, Model Context Protocol (MCP) tools, Siri Shortcuts, and cross-device sync. Built with Swift.
Is ETOS-LLM-Studio actively maintained in 2026? +
Yes, ETOS-LLM-Studio is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 220 stars and 13 open issues.
What language is ETOS-LLM-Studio written in? +
The primary language is Swift. Topics include: ai-assistant, apple-watch, daily-pulse, gguf, ios.
How many stars does ETOS-LLM-Studio have? +
ETOS-LLM-Studio has 220 stars and 27 forks on GitHub.
How does ETOS-LLM-Studio rank among GitHub repositories? +
With 220 stars, Eric-Terminal/ETOS-LLM-Studio is ranked #18,446 globally across all repositories tracked on GitHubRepo and #755 among Swift projects.
What license is ETOS-LLM-Studio distributed under? +
The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.
