Private Offline AI (Local LLM)

Android app by hko. Lifestyle · hko

Store rating
Unknown
Store rating count
Unknown
Download price
Free to download
In-app purchases
Not listed in captured metadata
Version
1.0.22
Listing last refreshed
2026-09-15

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Store description excerpt

"Private Offline AI (Local LLM)" is a dedicated offline AI chat application that completely protects your privacy. Once you download an AI model (LLM), no internet connection is required. You can safely chat with the AI right on your device without ever sending sensitive or personal information to the cloud. [Key Features] 🔒 100% Offline & Total Privacy All data processing happens locally on your smartphone. Your prompts and conversations are never sent to any external server, ensuring absolute security for your sensitive information. 🧠 Download and Switch Local LLMs Download and run high-performance open-source models like Gemma. Easily manage multiple models and switch between them at any time. Direct downloading via custom URLs is also supported. 🎭 AI Personalization & Custom Instructions Freely change the AI's personality and role by setting "System Prompts". - Presets: Save your favorite instructions (e.g., "Proofread", "Summarize") as presets for quick access. - Advanced Settings: Adjust response diversity (Temperature) and conversation history inclusion to get the perfect answer for your needs. 🌐 Multilingual UI The app interface natively supports English, Japanese, Chinese, and Spanish. [Recommended For] - Users who value privacy and want to avoid data leak risks associated with cloud-based AIs. - Professionals who need to summarize or proofread confidential information securely. - Travelers and users who want to use AI in offline environments like airplanes. - Enthusiasts who want to experiment with various local LLMs on their mobile devices. * Note: - Since this app runs AI models locally, it requires a device with relatively high processing power and RAM (6GB+ recommended). - An internet connection is only required initially to download the model data.

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