Agent System Changelog
This document tracks the evolution of the MOOD MNKY agent system, including released updates and planned enhancements.Latest Release
v1.2.0 (April 2023)
Highlights
- Enhanced Memory Architecture: Implemented a three-tier memory system (short-term, working, and long-term) to improve contextual awareness and relationship building.
- Advanced User Profiling: Added implicit preference tracking to complement explicit preferences, creating more accurate personalization.
- Streamlined Agent Handoffs: New orchestration protocols allow for smoother transitions between agents while preserving context.
Previous Releases
v1.1.0 (February 2023)
Highlights
- SAGE MNKY Agent: Introduced the learning and community-focused agent to the ecosystem, completing the core agent trio.
- Expanded Knowledge: Added comprehensive content on fragrance composition, wellness practices, and learning methodologies.
- Dojo Integration: Connected agents to the Dojo learning platform for enhanced educational experiences.
v1.0.1 (December 2022)
v1.0.0 (November 2022)
Highlights
- Initial Agent Launch: Released the first two agents in the ecosystem: MOOD MNKY and CODE MNKY.
- Knowledge Foundation: Established the vector database system for agent knowledge management.
- E-commerce Connection: Integrated with Shopify to enable product awareness and recommendations.
Upcoming Releases
v1.3.0 (Planned for July 2023)
Emotional Intelligence
Enhanced sentiment analysis for more empathetic interactions
Multi-modal Responses
Support for rich media responses including images and interactive elements
Advanced Analytics
Improved interaction tracking and performance metrics
Community Integration
Deeper integration with community features and user-generated content
Future Roadmap
1
Q3 2023: Enhanced Personalization
Develop more sophisticated adaptation algorithms based on user behavior patterns and explicit preferences
2
Q4 2023: Voice Interface
Add voice interaction capabilities for select platforms
3
Q1 2024: Collaborative Creation
Enable multi-user sessions with agent assistance for collaborative product creation
4
Q2 2024: Predictive Assistance
Implement proactive suggestions based on user patterns and lifecycle stage
Deprecation Notices
Breaking Changes
v1.0 to v1.1
v1.0 to v1.1
- Changed authentication mechanism from API keys to JWT tokens
- Modified response format to include metadata section
- Updated user context structure in request payloads
v1.1 to v1.2
v1.1 to v1.2
- Memory API endpoints restructured to accommodate multi-tier architecture
- New required fields in user profile objects
- Performance optimization requiring additional cache configuration
Have feedback on our agent system or suggestions for future enhancements? Please submit your ideas through the developer portal.