Cem Dilmegani — AI Multiple - The 7 Layers of Agentic AI Stack in 2026 - January 2026
FreeThe 7 Layers of Agentic AI Stack in 2026
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About Cem Dilmegani — AI Multiple - The 7 Layers of Agentic AI Stack in 2026 - January 2026
This article by Cem Dilmegani on AIMultiple outlines a structured framework for understanding the agentic AI stack, broken down into seven distinct layers. It serves as a reference for researchers, developers, and strategists navigating the ecosystem of AI agents, frameworks, and supporting infrastructure. The piece is part of AIMultiple's broader coverage of AI agents, generative AI, AI hardware, and related enterprise technologies.
Key Features
Frameworks the agentic AI stack into 7 layers
Covers AI agents, agentic frameworks, orchestration, and foundations
Includes references to AI hardware, models, security, and data layers
Part of AIMultiple's comprehensive AI research library
Pros & Cons
Pros
- Provides a clear, structured taxonomy for a complex topic
- Draws from extensive industry research by AIMultiple
- Connects agentic AI to broader AI stack layers (hardware, security, data)
Cons
- The article is an overview rather than a deep technical guide
- Actual content of the 7 layers is not visible in the scraped page
- No hands-on implementation details provided
Best For
Understanding the components of an agentic AI systemPlanning enterprise AI agent deploymentsComparing agentic AI frameworks and toolsResearching the 2026 landscape of autonomous AI agents
FAQ
What is the agentic AI stack?
It's a layered framework that decomposes autonomous AI agent systems into foundational components, as defined by Cem Dilmegani's article on AIMultiple.
How many layers does the agentic AI stack have?
The article identifies 7 layers covering AI agents, agentic frameworks, infrastructure, and supporting technologies.
Who created the 7 layers of agentic AI stack?
The framework was developed by Cem Dilmegani and published on AIMultiple in January 2026.