15 AI Agent Design Patterns
MaryamMiradi · x · 2026-07-13
The author compiled 15 AI Agent design patterns, claiming these are the most critical architectural insights summarized after building 400+ Agents.
Single Agent Patterns
Includes ReAct, Plan-and-Execute, Reflection/Self-Critique, and Tool Use / Function Calling. The focus is on how a single agent thinks, plans, invokes tools, and iterates.
Multi-Agent Orchestration
Lists patterns like Orchestrator-Subagent, Supervisor, Hierarchical Agents, Sequential Pipeline, Parallel Fan-Out/Fan-In, MapReduce, and Debate/Adversarial for multi-role collaboration and task distribution.
Feedback and Correction Loops
Also includes Evaluator-Optimizer, Critic-Actor, self-healing/retry loops, and HITL (Human-in-the-Loop) to enhance quality, stability, and failure recovery.
The article's core argument: before building production-grade AI Agents, choose the right architectural pattern first—whether single-agent, orchestration, or a feedback loop.
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