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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