Agentic System Architecture Model
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An Agentic System Architecture Model is an AI architecture model that organizes agentic system components into specialized software architecture layers (to enable agent-based capabilitys through layered organization).
- AKA: Agent Architecture Pattern, Agent System Architecture.
- Context:
- It can typically be instantiated in Agentic System Architectures.
- It can typically organize Agent Components through layer hierarchys.
- It can typically manage Agent Lifecycle through development layers.
- It can typically handle Agent Logic through reasoning layers.
- It can typically support Agent Interaction through communication layers.
- ...
- It can often implement Agent Learning through adaptation layers.
- It can often provide Tool Integration through interface layers.
- It can often manage Agent Deployment through serving layers.
- ...
- It can range from being a Simple Agentic Architecture to being a Complex Agentic Architecture, depending on its agent capability.
- It can range from being a Specialized Agent Architecture to being a General Agent Architecture, depending on its agent scope.
- ...
- It can integrate with Model Architecture for AI models.
- It can connect to Tool Architecture for external tools.
- It can utilize Knowledge Architecture for information access.
- Examples:
- Agentic System Core Layers, such as:
- Agentic System Interaction Layers, such as:
- Agentic System Memory Layers, such as:
- ...
- Counter-Examples:
- Traditional Software Architecture Model, which lacks agent-specific capabilitys.
- AI Model Architecture Model, which focuses on model execution rather than agent behavior.
- Service Architecture Model, which handles request processing rather than autonomous action.
- See: AI Agent Pattern, Agent System Design, AI Layer Model, Agent Development Lifecycle.