Is the ETOS-LLM-Studio MCP server actively maintained?

The ETOS-LLM-Studio MCP server was last committed 7d ago and has 3 contributors. Issue health: 90% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

ETOS-LLM-Studio MCP Server

Name: Eric-Terminal/ETOS-LLM-Studio
Rating: 4.4 (1 reviews)
Author: Eric-Terminal

Eric-Terminal/ETOS-LLM-Studio

Score: 84.8 ↓ 0.7% Rank #966 Search & RAG

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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.

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Overview

Eric-Terminal/ETOS-LLM-Studio is a Swift MCP server licensed under GPL-3.0. 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. Topics: ai-assistant, apple-watch, ios, llm-client, mcp, rag, swiftui, daily-pulse, gguf, llama-cpp.

Ranked #966 out of 24842 indexed tools.

In the top 4% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Swift GPL-3.0

ai-assistantapple-watchiosllm-clientmcpragswiftuidaily-pulseggufllama-cpp

Score Breakdown

Stars 15% 208

208 stars → growing community

Freshness 25% 7d ago

Last commit 7d ago → actively maintained

Issue Health 25% 90%

120/134 issues closed → responsive maintainer

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 24

Description Detailed

License GPL-3.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 208
Forks: 24
Open Issues: 14
Closed Issues: 120
Contributors: 3
Dependents: —
Language: Swift
License: GPL-3.0
Last Commit: 7d ago

Matched Queries

"model context protocol""model-context-protocol"topic:mcp

From the README

# ETOS LLM Studio

**一个运行在 iOS 和 Apple Watch 上的原生 AI / Agent 客户端。支持 OpenAI、Anthropic Claude、Google Gemini 与本机 GGUF / llama.cpp 模型，并提供会话级 Chat / Agent 模式、本地 Linux、Browser Agent、64 个 Apple 原生能力工具、MCP、Agent Skills、跨会话协作、本地 RAG 记忆、实时活动与双端同步。**

[English](docs/readme/README_EN.md) | [繁體中文](docs/readme/README_ZH_HANT.md) | [日本語](docs/readme/README_JA.md) | [Русский](docs/readme/README_RU.md)

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## 📸 截图

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## 👋 写在前面

在学校的日子挺无聊的，平时又总会冒出很多想问 AI 的问题。当时我嫌 App Store 上的 AI 应用要么贵得离谱，要么功能太残废（尤其是手表端），索性就自己动手搓了一个。

从最初那个只有 1,800 行代码、API Key 还要硬编码的简陋版本，到现在 **971 个 Swift 源文件、362,394 行 Swift 代码**（仅计算项目内 Swift，不把 llama.cpp、iSH 子模块和 VitePress 文档站依赖算进来）的工程，它确实已经长大了不少。虽然名字叫 "ETOS LLM Studio" 听着有点唬人，但它本质上还是我拿来探索大模型应用边界的试验场。

现在它已经不只是一个手表端 App 了：iOS 和 watchOS 都能管理云端模型、本地 GGUF 权重、工具、记忆、世界书和每日脉冲；Agent 还可以操作受控浏览器、调用 Apple 原生能力，或在 App 内置的本地 Linux 中运行命令与 Skill 脚本。两端数据通过内置同步引擎互通。

因为我平时主要还是用 Mac 和 Watch，iPhone 端偶尔会有一些还在继续打磨的边角，不过我会继续慢慢补齐。

### 主要功能

#### 聊天与模型

*   **双端原生体验**：iOS

Read full README on GitHub →

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