January 2026 Release
Released: January 2026
This is a major release introducing AI-powered presentation generation, enhanced collaboration features, and powerful import capabilities.
🤖 AI Story Mode
Section titled “🤖 AI Story Mode”Transform your figure collections into polished presentations, reports, or tutorials with a single click.
Key capabilities:
- AI-generated slide content and narratives
- Full context analysis (source code, metadata, not just images)
- Interactive Q&A during presentations
- Export to PowerPoint, Word, or Markdown
- Customizable audience targeting
💬 Comments & Collaboration
Section titled “💬 Comments & Collaboration”Add comments to any figure, document, or asset for team collaboration.
Features:
- Markdown formatting support
- @mentions with email notifications
- Threaded replies
- Emoji reactions
- AI-powered comment generation
📂 Git Repository Import
Section titled “📂 Git Repository Import”Import Jupyter notebooks directly from your Git repositories.
Supported platforms:
- GitHub
- GitLab
- Bitbucket
Features:
- Extract figures from all commits
- Preserve version history
- Automatic attribution
- HTTPS and SSH support
📄 Document Import
Section titled “📄 Document Import”Extract figures from PowerPoint and Word documents.
Features:
- AI-powered figure title generation
- Link figures to source documents
- OCR support for UUID extraction
- Maintain complete traceability
🔍 Enhanced Search
Section titled “🔍 Enhanced Search”Find figures faster with text and visual search.
New capabilities:
- Full-text search across all content
- Image similarity search
- Results grouped by source
- Workspace filtering
🏢 Workspace Improvements
Section titled “🏢 Workspace Improvements”Better organization and navigation for teams.
Updates:
- Quick workspace switching
- Organization logos
- Improved navigation
- Flexible access controls
Additional Improvements
Section titled “Additional Improvements”- In-browser Python playground for interactive exploration
- Performance optimizations across the platform
- UI/UX refinements based on user feedback