Single Agent Patterns
definition
The simplest architecture where one agent handles the entire task from start to finish, and the pattern most problems should start with before reaching for multi-agent complexity. A single well-configured agent with the right tools can handle remarkably complex tasks while keeping coordination overhead at zero and making debugging straightforward — you only have one reasoning chain to inspect.
The simplest architecture where one agent handles the entire task from start to finish, and the pattern most problems should start with before reaching for multi-agent complexity. A single well-configured agent with the right tools can handle remarkably complex tasks while keeping coordination overhead at zero and making debugging straightforward — you only have one reasoning chain to inspect. The key advantage is predictability: with one agent, you can trace exactly why a decision was made, whereas multi-agent systems introduce emergent behaviors that are harder to debug and reproduce. Understanding single agent patterns deeply is critical because most developers prematurely jump to multi-agent architectures when their real problem is insufficient tool design, poor context engineering, or inadequate system prompts for a single agent. This concept connects to the ReAct pattern as the default single-agent execution model, multi-agent architectures for when genuine parallelism or specialization is needed, and orchestrator-worker for the most common upgrade path from single to multi-agent.