Which agentic pattern fits your AI agent?
mdancho84 · x · 2026-07-20
# Which agentic pattern should you use? The post says that while many data scientists want to build AI agents, few can answer the practical question of **which agentic pattern fits the job**. The infographic summarizes: - **Single-agent vs. multi-agent** architectures - Common multi-agent patterns: **parallel, sequential, loop, router, aggregator, network, hierarchical** - Example setups such as **hierarchical**, **human-in-the-loop**, **shared tools**, **shared database with different tools**, and **memory transformation through tool use** The core takeaway is that agent design is not one-size-fits-all; the right pattern depends on task structure, control flow, and how tools, memory, and search are orchestrated.
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