Documentation Index
Fetch the complete documentation index at: https://docs.moodmnky.com/llms.txt
Use this file to discover all available pages before exploring further.
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
Q3 2023: Enhanced Personalization
Develop more sophisticated adaptation algorithms based on user behavior patterns and explicit preferences
Q1 2024: Collaborative Creation
Enable multi-user sessions with agent assistance for collaborative product creation
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.