Subagent System
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A Subagent System is an agent system that delegates specialized tasks to subordinate agents with separate context windows and custom system prompts.
- AKA: Hierarchical Agent System, Delegated Agent System, Multi-Level Agent System.
- Context:
- It can typically orchestrate Parallel Task Execution for computational efficiency.
- It can typically manage Task Delegation Patterns and Result Aggregation.
- It can typically isolate Context Window Separation for information security.
- It can typically specialize Domain-Specific Prompts and Capability Constraints.
- It can typically coordinate Message Passing Protocols and State Synchronization.
- It can typically scale Dynamic Agent Spawning and Resource Allocation.
- It can typically monitor Performance Metrics and Error Tracking.
- ...
- It can often implement tool-specific agents for specialized operations.
- It can often configure declarative specifications and runtime parameters.
- It can often optimize load balancing and task prioritization.
- It can often debug execution traces and state inspection.
- It can often extend plugin architectures and custom handlers.
- ...
- It can range from being a Simple Subagent System to being a Complex Subagent System, depending on its orchestration complexity.
- It can range from being a Single-Level Subagent System to being a Multi-Level Subagent System, depending on its hierarchy depth.
- It can range from being a Homogeneous Subagent System to being a Heterogeneous Subagent System, depending on its agent diversity.
- It can range from being a Static Subagent System to being a Dynamic Subagent System, depending on its runtime adaptability.
- ...
- Examples:
- Claude Code Subagent Systems, such as:
- Multi-Agent Framework Subagent Systems, such as:
- ...
- Counter-Examples:
- Monolithic AI Agent, which lacks task delegation capability.
- Single-Context System, which shares context windows across all operations.
- Peer-to-Peer Agent Network, which lacks hierarchical structure.
- See: AI Agent Orchestration System, Multi-Agent AI System, Task Agent, AI Agent Communication Protocol, Deep Agent System State Structure, Parallel Task Execution, Terminal-Native Architecture, Planning Mode, Multi-Agent Orchestration.