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 Orchestration
Agent orchestration manages the coordination, communication, and workflow between multiple AI agents in the MOOD MNKY ecosystem.Overview
The orchestration system enables:- Multi-agent collaboration - Agents working together on complex tasks
- Workflow management - Coordinated task execution
- Load balancing - Optimal agent assignment
- Conflict resolution - Handling agent disagreements
Architecture
Orchestration Engine
The central orchestration engine coordinates agent activities:- Task Routing: Directs tasks to appropriate agents
- State Management: Tracks multi-agent conversation state
- Event Bus: Facilitates inter-agent communication
- Scheduler: Manages asynchronous task execution
Agent Communication
Agents communicate through:- Message Passing: Direct agent-to-agent messages
- Shared Context: Common knowledge base access
- Event System: Pub/sub event notifications
- API Gateway: Standardized communication protocols
Agent Roles
MOOD MNKY
- Primary customer interaction agent
- Coordinates with SAGE and CODE for complex requests
- Manages customer journey orchestration
CODE MNKY
- Technical task execution
- Receives technical requests from MOOD
- Provides automation and development support
SAGE MNKY
- Emotional intelligence support
- Assists MOOD with empathy and understanding
- Provides psychological insights
Workflow Patterns
Sequential Workflow
Tasks flow from one agent to another in sequence:Parallel Processing
Multiple agents work simultaneously:Hierarchical Delegation
MOOD delegates to specialized agents:Configuration
Orchestration is configured through the agent infrastructure:Related Documentation
- Agent Database - Agent registry
- Memory System - Shared memory
- Knowledge Base - Shared knowledge