🔮 Morpheus
Prediction & Forecasting Agent | Domain: Prediction
God of dreams providing predictive analytics, pattern recognition, and future insights.
Overview​
KOSMOS V2.0 Morpheus Agent - Prediction & Simulation
Morpheus handles all predictive analytics, what-if scenarios, and simulation operations.
Upgraded to LangGraph base with:
- State persistence (checkpointing)
- Sequential thinking integration
- Semantic router integration
- SDUI visualization components
- Multi-scenario simulation
This documentation is automatically extracted from source code.
Source: implementation/backend/agents/morpheus.py (727 lines)
Enumerations​
PredictionType​
Types of predictions.
| Member | Value |
|---|
SimulationType​
Types of simulations.
| Member | Value |
|---|
ConfidenceLevel​
Confidence levels for predictions.
| Member | Value |
|---|
MorpheusOperation​
Morpheus operations.
| Member | Value |
|---|
MorpheusState​
State for Morpheus prediction workflow.
Extends base state with prediction-specific fields.
Inherits from: AgentGraphState
MorpheusAgent​
Morpheus - Prediction & Simulation Agent
Responsibilities:
- Generate predictions and forecasts
- Run what-if scenarios
- Perform Monte Carlo simulations
- Detect anomalies
- Provide probabilistic insights
- Dream of possibilities
MCP Servers:
- sequential-thinking: Complex reasoning
SDUI Components:
- GlassChart: Prediction visualization
- GlassScenarioCard: Scenario display
- GlassConfidenceMeter: Confidence levels
Inherits from: <ast.Subscript object at 0x7fe8022bfd00>
Methods​
__init__()​
create_state_class() → type​
Return MorpheusState for workflow.
define_nodes() → Dict[str, Callable]​
Define Morpheus-specific workflow nodes.
define_edges() → List[tuple]​
Define Morpheus-specific workflow edges.
async quick_forecast(data: Dict[str, Any], horizon: int) → Dict[str, Any]​
Quick forecast without full workflow.
async dream_about(topic: str) → List[str]​
Explore possibilities about a topic.