SAGE MNKY Capabilities
The SAGE MNKY agent provides extensive capabilities focused on educational content, learning facilitation, and community building. This document details the technical features that power these knowledge-centered experiences.
Core Capabilities
Content Intelligence
SAGE MNKY employs sophisticated content analysis and generation capabilities:- Topic modeling to understand and organize knowledge domains
- Content classification for appropriate categorization
- Readability and complexity analysis to match content to audience
- Knowledge gap identification for comprehensive coverage
- Multi-format content generation adapted to learning contexts
Learning Journey Management
Advanced capabilities for personalized learning experiences:- Learning style identification for tailored educational approaches
- Adaptive learning path creation based on goals and progress
- Skill assessment to identify strengths and improvement areas
- Progress tracking with meaningful milestones
- Intervention detection to address learning obstacles
Community Facilitation
Tools for building and nurturing vibrant learning communities:- Discussion facilitation with timely prompts and summaries
- Community health monitoring for positive, productive environments
- Connection recommendation between members with shared interests
- Collaborative activity orchestration for group learning
- Contribution recognition to encourage participation
Knowledge Base Management
Capabilities for organizing and delivering comprehensive knowledge:- Information accuracy verification against trusted sources
- Knowledge organization for intuitive discovery
- Answer synthesis from multiple information sources
- Context-aware information delivery based on user needs
- Source attribution for reference and further exploration
Educational Design
Tools for creating effective learning experiences:- Learning objective mapping to content and activities
- Instructional scaffolding for progressive skill development
- Assessment design for meaningful progress measurement
- Interactive experience creation for engaged learning
- Multimedia learning integration for multiple learning modalities
Integration Points
Dojo Platform
The agent integrates with our learning platform to provide:
- Learning environment customization
- Progress tracking and reporting
- Content recommendation and delivery
- Assessment and feedback systems
Community Hub
Integration with community features enables:
- Discussion moderation and facilitation
- Member connection and recommendation
- Collaborative activities and projects
- Knowledge sharing and curation
Content Management
Connection to content systems for:
- Resource discovery and recommendation
- Content adaptation and personalization
- Educational material creation
- Media integration and optimization
Knowledge Graph
Leverages our knowledge architecture for:
- Conceptual relationship mapping
- Prerequisite identification
- Topic exploration guidance
- Cross-domain connections
Capability Levels
The SAGE MNKY agent capabilities are organized into progressive levels:1
Foundation
Basic content recommendations, learning resources, and community participation. Available to all users without authentication.
2
Enhanced
Personalized learning paths, community connection recommendations, and adaptive content delivery. Available to registered users.
3
Premium
Fully adaptive learning journeys, expert-level content curation, and facilitated community experiences. Available to premium members.
4
Specialized
Domain-specific educational design, custom knowledge environments, and dedicated community facilitation. Available for specialized implementations.
Use Case Examples
Personalized Learning Journey
Community Knowledge Sharing
Technical Implementation
API Endpoints
The SAGE MNKY agent exposes several API endpoints for integration:| Endpoint | Description | Authentication |
|---|---|---|
/sage-mnky/learn | Learning path management | Optional |
/sage-mnky/content | Content discovery and delivery | Optional |
/sage-mnky/community | Community interaction and facilitation | Required |
/sage-mnky/knowledge | Knowledge base access and querying | Optional |
/sage-mnky/assessment | Learning progress assessment | Required |
Event Subscriptions
The agent subscribes to the following system events:content.created- Triggered when new educational content is addedlearning.milestone- Triggered when a user reaches a learning milestonecommunity.interaction- Triggered for meaningful community activitiesquestion.asked- Triggered when a user asks a knowledge-based questionfeedback.provided- Triggered when learning feedback is submitted
Data Models
Key data models used by the SAGE MNKY agent:LearningProfile- Individual learning preferences and historyKnowledgeState- Mastery and familiarity across knowledge domainsContentRepository- Educational resources and their metadataCommunityMap- Community structure and interaction patternsLearningJourney- Structured educational pathways and progress
Performance and Limitations
Response Times
- Average content recommendation: 650ms
- 95th percentile: 1.0s
- Maximum allowed for complex learning paths: 2.5s
Concurrency
- Standard tier: 75 concurrent learning sessions
- Premium tier: 200 concurrent learning sessions
- Specialized tier: Customizable based on implementation
Content Limitations
- Maximum learning path complexity: 50 interconnected modules
- Knowledge domain coverage: 12 primary domains with 50+ subdomains
- Community facilitation: Up to 500 members per community group
- Language support: English, Spanish, French, German, Japanese
Future Capabilities
The SAGE MNKY agent roadmap includes:- Collaborative learning environments with real-time group facilitation
- Advanced knowledge visualization for complex topic exploration
- Multimodal learning assessment beyond traditional testing
- Neuroadaptive learning paths based on cognitive science
- Cross-cultural learning adaptation for global educational contexts
Implementation Resources
For developer resources on implementing and extending SAGE MNKY capabilities, refer to: