ScreenMind
Captures and analyzes screen activity with AI, using smart detection and Gemma 4 for app content and layout recognition. Data stays local with encryption, semantic and keyword search, chat recall, multiple analysis modes, transcription, automation, and integrations for secure usage.
Features
Properties
- Privacy focused
- AI-Powered
Features
- AES-256 Encryption
- Support for MarkDown
- Integrated App lock
- Built-in AI Assistant
- Incognito mode
- Game Mode
- GPU Acceleration
- Local AI
Obsidian Integration- Data analytics
- No Telemetry
- Chat with documents
- Semantic Search
- WebHook Integration
- Timeline
- Screen Recording
Notion Integration- Model Context Protocol (MCP) Support
- Daily Statistics
ScreenMind News & Activities
Recent activities
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What is ScreenMind?
ScreenMind is an AI software that records, analyzes, and allows interaction with your screen history. It uses Smart Capture to detect and record content changes, and Gemma 4 Vision Analysis for app detection, activity categorization, and layout analysis. The software also features a Hybrid Search combining semantic embeddings with keyword search, and a Chat with Memory function for conversational recall. Additional features include Model Hub, Voice Memos, Meeting Transcription, Analytics Dashboard, and Day Rewind.
ScreenMind offers three analysis modes: Accurate, Balanced, or Fast, and includes a Per-App pHash Cache and a Chat-First GPU Priority feature. It auto-pauses capture for heavy apps like games and video editors. Privacy and security are prioritized, with all data stored on your machine, sensitive data filter, encryption at rest, dashboard PIN lock, and incognito mode.
For integrations and extensibility, ScreenMind enables automation building in Markdown or Python. It also offers MCP Server, Obsidian, Notion, Webhooks, Smart Notifications, and Auto-Bookmark.
ScreenMind information
Developed by
Ayush Shekhar Licensing
Open Source (MIT) and Free product.Written in
Alternatives
12 alternatives listedSupported Languages
- English
AlternativeTo Categories
AI Tools & Services, OS & Utilities, Security & Privacy, System & Hardware, Video & MoviesGitHub repository
- 204 Stars
- 16 Forks
- 0 Open Issues
- Updated
Comments and Reviews
From the perspective of an experienced IT expert, ScreenMind seems like a very exciting approach: The combination of local data storage, intelligent screen history, and semantic search addresses a real productivity problem. I particularly appreciate the focus on data protection, encryption, and incognito mode—trust is crucial, especially when it comes to screen recording. If the analysis runs reliably and efficiently, this could be a powerful tool for knowledge work, support, and personal organization.
what is the use of this what problem it solve ?
Self-hosted only