What is an agentic stack?

Agentic stack: layered AI system with orchestrator (flow control), tools (actions), memory (persistence), and LLM (reasoning). Turns models into doers.

Why are LLMs becoming the least important part of AI?

LLMs commoditize fast—swap 'em cheap. Real value in orchestration logic, tool integrations, memory design that make systems reliable at scale.

How do I design an agentic AI system?

Map workflows first: decompose tasks, pick tools/APIs, build stateful memory, layer in LLM last. Prioritize observability over prompts.

🚀 New Releases

Agentic Stacks: LLMs Demoted to Engine Room

We fixated on LLMs. Big mistake. The agentic stack—orchestrator, tools, memory—holds the power, turning chatbots into systems.

theAIcatchup Apr 09, 2026 4 min read

Diagram of agentic AI stack layers: orchestrator brain, tools, memory, and LLM engine

⚡ Key Takeaways

Agentic stacks prioritize orchestrators over LLMs for true intelligence. 𝕏
Tools and memory turn chatbots into production systems. 𝕏
Build moats in system design—models are swappable commodities. 𝕏

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theAIcatchup

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#AI systems #LLM orchestration #agentic AI #agentic stack

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Originally reported by dev.to

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