SAGE MNKY Changelog
This document tracks all significant changes, improvements, and fixes to the SAGE MNKY agent. The changelog is organized by version, with the most recent versions listed first.
Version 1.4.0 (2023-12-20)
New Features
- Knowledge Graph Visualization: Interactive visualization of related concepts and learning paths
- Adaptive Learning Assessment: Dynamic difficulty adjustment based on learner responses
- Multi-modal Content Creation: Generation of complementary content across different formats
- Community Learning Circles: Facilitated group learning with AI-guided discussions
Improvements
- Enhanced content personalization algorithms with 40% better topic relevance
- Expanded knowledge base with over 300 new fragrance and wellness concepts
- Improved learning path adaptations based on engagement patterns
- Added support for 5 additional content formats including interactive infographics
Fixes
- Resolved issue with learning path continuity when switching devices
- Fixed inconsistency in knowledge retrieval for specialized topics
- Addressed timing issues in community discussion facilitation
- Corrected personalization drift in extended learning journeys
Version 1.3.0 (2023-09-05)
New Features
- Collaborative Project Framework: Structured approach for team-based learning projects
- Concept Relationship Mapping: Automated discovery of connections between learning topics
- Learning Style Adaptation: Content delivery tailored to individual learning preferences
- Progress Visualization: Enhanced tracking and representation of learning journey progress
Improvements
- Expanded content generation capabilities to include interactive exercises
- Enhanced natural language understanding for learning-related queries
- Improved assessment accuracy with more sophisticated question generation
- Added deeper integration with external learning resources and references
Fixes
- Resolved synchronization issues between learning modules
- Fixed inconsistencies in learning path recommendations
- Addressed readability issues in generated content for different audience levels
- Corrected errors in prerequisite identification for advanced topics
Version 1.2.0 (2023-06-10)
New Features
- Learning Path Generator: Personalized learning journeys based on goals and preferences
- Interactive Q&A Sessions: Guided knowledge exploration through interactive questioning
- Content Adaptation Engine: Automatic adjustment of content complexity to user level
- Learning Community Support: Facilitation of group discussions around learning topics
Improvements
- Added support for multi-stage learning paths with milestone tracking
- Enhanced knowledge retrieval with semantic search capabilities
- Improved content recommendations based on engagement history
- Expanded tutorial generation with more comprehensive examples
Fixes
- Resolved issues with content sequencing in complex learning paths
- Fixed accuracy problems in knowledge retrieval for ambiguous queries
- Addressed inconsistencies in difficulty level assessments
- Corrected formating issues in generated educational content
Version 1.1.0 (2023-03-22)
New Features
- Educational Content Generator: Creation of structured learning materials from knowledge base
- Knowledge Assessment: Evaluation of understanding with dynamically generated questions
- Topic Exploration: Guided discovery of related concepts and learning areas
- Learning Resource Curation: Personalized selection of educational resources
Improvements
- Enhanced knowledge base with expanded wellness and self-care information
- Improved content explanation capabilities for complex topics
- Added support for visual learning with diagram generation
- Expanded question-answering abilities for educational contexts
Fixes
- Resolved issues with content organization in generated materials
- Fixed inconsistencies in knowledge representation across topics
- Addressed gaps in prerequisite knowledge identification
- Corrected terminology standardization in specialized domains
Version 1.0.0 (2023-01-15)
Initial Release
- Knowledge Repository: Comprehensive information on fragrance, wellness, and self-care
- Educational Explanation Engine: Clear, structured explanations of concepts
- Basic Learning Pathways: Sequential organization of related learning topics
- Question Answering: Factual responses to knowledge-based inquiries
- Concept Relationship Awareness: Understanding of connections between topics
- Content Adaptation: Basic adjustment of explanations to different knowledge levels
Known Limitations
- Limited personalization of learning experiences
- Basic assessment capabilities without adaptation
- Minimal integration with external learning resources
- Restricted support for collaborative learning
- Limited visualization capabilities for complex concepts
Future Roadmap
Planned for v1.5.0 (Q1 2024)
- Immersive learning experiences with AR/VR content generation
- Enhanced emotional intelligence for learning motivation support
- Expanded cross-domain knowledge synthesis
- Advanced learning analytics with predictive insights
Under Consideration for Future Releases
- Specialized expert agents for deep domain mastery
- Real-time collaborative learning environments
- Cognitive modeling for optimized learning sequencing
- Integration with physical learning experiences