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GRATUIT
Free
Description
Personal.AI is an on-device AI assistant designed for reading and exploring AI-generated knowledge in a clear, structured, and private way.
• All AI runs directly on your device
• Interact with powerful models without sending data to external servers
• Designed for privacy, readability, and simplicity
• Structured answers that make complex topics easy to understand
Key Features
• On-Device AI Processing
All AI runs locally. Your prompts and responses stay private.
• Web Search
Get real-time answers from the web, even for complex questions.
• Local RAG
Ask questions using your documents and saved content.
• Agent Mode
Get smarter answers with multi-step reasoning.
• Support for Quantized Models
Supports GGUF models for efficient on-device performance.
• Offline AI Experience
Works fully offline once a model is downloaded.
• Model Switching
Choose smaller models for speed or larger models for deeper answers.
• Structured Reading Interface
Clean, layered responses designed for easy reading.
• Privacy-First Design
No tracking. No data collection. Your data stays with you.
Privacy
• AI processing happens entirely on your device
• No personal data is collected
• No data is sent to external servers
• No analytics or tracking
Our Goal
• A non-profit project focused on on-device AI
• Built for privacy, readability, and user-first design
• All AI runs directly on your device
• Interact with powerful models without sending data to external servers
• Designed for privacy, readability, and simplicity
• Structured answers that make complex topics easy to understand
Key Features
• On-Device AI Processing
All AI runs locally. Your prompts and responses stay private.
• Web Search
Get real-time answers from the web, even for complex questions.
• Local RAG
Ask questions using your documents and saved content.
• Agent Mode
Get smarter answers with multi-step reasoning.
• Support for Quantized Models
Supports GGUF models for efficient on-device performance.
• Offline AI Experience
Works fully offline once a model is downloaded.
• Model Switching
Choose smaller models for speed or larger models for deeper answers.
• Structured Reading Interface
Clean, layered responses designed for easy reading.
• Privacy-First Design
No tracking. No data collection. Your data stays with you.
Privacy
• AI processing happens entirely on your device
• No personal data is collected
• No data is sent to external servers
• No analytics or tracking
Our Goal
• A non-profit project focused on on-device AI
• Built for privacy, readability, and user-first design
What's new (v1.2)
• Gemma 4
Added support for Google’s latest open models, including efficient variants optimized for on-device reasoning and thinking support.
• Web Search
Get real-time answers from the web, powered entirely by on-device AI with intelligent query refinement and source-aware responses.
• Local RAG
Ask questions using your documents and saved content with fast, private, on-device retrieval and grounded answers.
• Agent Mode
Get smarter answers for complex questions with multi-step reasoning, dynamic planning, intelligent actions, and tool usage — all powered on-device.
• Agentic Actions
Perform intelligent actions such as web search, local RAG retrieval, email composition, and connected workflow execution directly through the agent on-device.
• Neural Memory (Experimental)
Introduced experimental neural memory support using small neural memory models trained from uploaded documents, enabling retrieval guidance through prefix embedding.
Added support for Google’s latest open models, including efficient variants optimized for on-device reasoning and thinking support.
• Web Search
Get real-time answers from the web, powered entirely by on-device AI with intelligent query refinement and source-aware responses.
• Local RAG
Ask questions using your documents and saved content with fast, private, on-device retrieval and grounded answers.
• Agent Mode
Get smarter answers for complex questions with multi-step reasoning, dynamic planning, intelligent actions, and tool usage — all powered on-device.
• Agentic Actions
Perform intelligent actions such as web search, local RAG retrieval, email composition, and connected workflow execution directly through the agent on-device.
• Neural Memory (Experimental)
Introduced experimental neural memory support using small neural memory models trained from uploaded documents, enabling retrieval guidance through prefix embedding.
