ETOS LLM Studio vs Var课程表
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
ETOS LLM Studio
This AI client offers advanced features for managing local knowledge bases and virtual personas. It provides deep integration with Apple Watch, supports multiple AI models, and allows for extensive customization of AI interactions. The app aims to be a powerful, all-around assistant for users seeking more than a basic chat interface.
- Native iOS and watchOS integration
- Multi-model engine support (OpenAI, Anthropic, Google)
- Local RAG memory with SQLite vector database
- Customizable Worldbook Engine for role-playing
- Proactive intelligence cards via Daily Pulse
- Siri Shortcuts and URL Scheme integration
- Dual-engine Text-to-Speech
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Welcome to ETOS LLM Studio—a native AI client born out of a boring high school classroom that has ultimately evolved into a hardcore geek powerhouse. Here, AI is no longer a dull chatbox, but an all-around assistant seamlessly integrated into your digital life. Whether you want to awaken top-tier intelligence on your wrist at any moment, or build your exclusive local knowledge base and virtual personas on your phone, ETOS delivers an uncompromising, ultimate experience. [Core Highlights] Native Dual-Platform, A Universe on Your Wrist Deeply optimized for iOS and watchOS, refusing the compromises of watered-down versions. We have entirely rebuilt the chat interaction on Apple Watch, supporting streaming output, voice input, and complex concurrency, while achieving seamless real-time synchronization of configs, sessions, and tools across both platforms. Multi-Model Engine & Absolute Control Native support for mainstream providers like OpenAI, Anthropic (Claude), and Google (Gemini). We give the power back to you: customize request headers, dynamically configure model parameters, or even directly modify the raw JSON request body, satisfying a geek's desire for absolute API control. Memory Accumulation & Worldbook Engine Local RAG Memory: Your data belongs to you. Built with a fully local SQLite vector database supporting text chunking and embeddings, giving your AI genuine long-term memory. Worldbook Engine: Supports highly customizable character backgrounds, conditional triggers, and system prompt injections. Fully compatible with mainstream Worldbook formats, ready to unlock deep role-playing and immersive conversations anytime. Daily Pulse Break the passive "Q&A" deadlock. Every morning, the system synthesizes your long-term memory, recent conversations, and external signals to proactively generate high-value intelligence cards. These seamlessly transform into to-dos and chat prompts, forming a perfect positive feedback loop. Boundless Extension & Automation Fully integrated with MCP (Model Context Protocol), supporting remote tool calling and capability negotiation. Deeply integrated with Siri Shortcuts and connected with the local file system via URL Schemes, extending the AI's reach to every corner of your device. Supports dual-engine (System / Cloud) TTS (Text-to-Speech) reading, giving your AI a real voice. [About the Developer & Open Source Commitment] I am a high school student with a deep passion for computer technology. The original intention behind developing this app was simply that I was tired of the expensive and crippled AI software on the market. So, I decided to take matters into my own hands and build the ultimate client for my daily-use Mac and Apple Watch. Due to the extremely high Apple Developer annual fee, the App Store version charges a symbolic fee. Consider it a crowdfunding effort to help me pay off the debt, while you buy the convenience of not having to compile and tinker with it yourself. But technology should be shared; open source is my bottom line. The complete source code of ETOS LLM Studio (over 88,000 lines) is fully open-sourced on GitHub under the GPLv3 license. If you are also a geek who loves tinkering, you are completely free to pull the code, compile, and install it yourself for free. No matter how you found your way here, welcome to the world of ETOS. Are you ready to start the next conversation with your AI?
Var课程表
Effortlessly manage your class schedule with automatic photo import, multiple layout options, and direct import from popular formats. Stay informed with real-time course progress on widgets and lock screens, and easily track A/B weeks and semester weeks.
- Automatic schedule import from photos
- Grid and list layout options
- Direct import from popular formats
- Apple Watch app for browsing and editing
- Smart Stack and lock screen widgets
- A/B week and semester week tracking
- Customizable themes and course-following colors
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VarClass 是一份简洁,易用,优雅的课程表,放在你的 iPhone和 Apple Watch 上 拍一张课表照片,课程自动录入。支持网格、列表两种版式识别,也兼容 WakeUp、CSES、Class Island、ICS等格式直接导入,也支持小爱课程表云端导入导出 Apple Watch 上可以完整浏览课程、编辑详情。Smart Stack 小组件显示当前与下一节课,抬手就能看到 课程进行时,桌面组件和锁屏界面会展示课程名、教室位置、已过时间与剩余时间,还有进度条组件帮你更好的把握时间 如果你的学校按 A/B 周排课,设定一个参考日期后,系统会自动判定当前周期,不需每周手动切换 设定学期起始日期后,随时知道自己在第几教学周 你可以为每门课附上备忘,记录作业或要点 主题色可自由调整。开启课程跟随后,界面色彩会随当前课程变化 iPhone、Apple Watch 之间的数据自动同步 Var课程表,课表本该如此 *注:第三方导入仅为便于使用的辅助类功能,并非本app的核心功能,可能会随着版本更新等情况调整,请悉知
Screenshots
Verdict
The clearest difference is update cadence: Var课程表 at weekly against ETOS LLM Studio's every 3 weeks. Var课程表 also leads on price ($0.99 vs $2.99). On ads, in-app purchases, monetization model and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
ETOS LLM Studio costs $2.99 and Var课程表 $0.99 up front. Neither carries in-app purchases, so what you see is what you pay.
ETOS LLM Studio ships an update every 3 weeks, Var课程表 weekly. The most recent releases landed on October 7, 2026 and October 10, 2026 respectively.
| Parameter | ETOS LLM Studio | Var课程表 |
|---|---|---|
| Price | $2.99 | $0.99 — better |
| Rating | 5.0 (2 ratings) — better | — |
| Positive reviews | — | 50.0% of reviews |
| Number of ratings | 2 — better | — |
| Update frequency | Every 3 weeks | Weekly — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Devices | iPhone, iPad, Apple Watch | iPhone, iPad, Apple Watch |
| Requires iOS | 17.0 — better | 18.0 |
| Further details — not scored | ||
| Size | 152 MB | 22 MB |
| Age rating | 4+ | 4+ |
| Developer | 琳 李 | 泽坤 周 |
Customer experience
ETOS LLM Studio
Var课程表
In-app purchases
ETOS LLM Studio
No in-app purchases
Var课程表
No in-app purchases









