The Four-Layer Agent Stack: When Your Framework Isn't Enough

Models. Harnesses. Runtimes. Control plane.

By mid-2026, that's the structure most production agent teams are converging on—whether they explicitly acknowledge it or not. If you're building agents at any scale, you're already dealing with all four layers. The question is whether your infrastructure makes that separation visible or hides it until something breaks.

Why Three Layers Stopped Being Enough

A year ago, agent infrastructure looked simpler. You'd pick a model (Claude, GPT-4), write orchestration logic (LangChain, CrewAI, LangGraph), and run it somewhere (your laptop, a cloud instance, a managed platform). Three clear pieces.