Technology scalability of open source architecture
Glass uses the MIT open source protocol , its technical architecture design takes full account of scalability . The project code base contains several pluggable modules:
- Core Observation Engine:Cross-Process Screen Content Capture with Electron Framework
- Plug-in analyzer:Developers can add specialized parsers for specific applications (e.g. VSCode, Figma)
- Knowledge Connector:Provide data interfaces to tools such as Notion, Obsidian, etc.
Community contributors have submitted several valuable feature extensions, including:
- Math Equation Recognition plug-in (converts LaTeX fragments into editable equations)
- Code context-awareness enhancements (more accurate programming advice based on Git commit history)
- Multi-language translation layer (real-time conversion of foreign language content on screen)
The development team maintains detailed contribution guidelines that specifically encourage optimized solutions for vertical scenarios. For example, a user submitted a medical literature reading aid module that automatically extracts clinical trial data tables from papers and generates statistical summaries.
This answer comes from the articleGlass: a desktop AI assistant that observes and organizes information in real timeThe
May not be reproduced without permission:AI productivity tools " Glass' open source nature offers developers deep customization possibilities
