A Technical Blueprint for the Agentic AI Stack
And we’re only at the start of it, and we’re only at the beginning of this process, and the full stack of agentinc AI is just getting developed.
What will we need to be able to say we have a complete Agentic AI ecosystem?
I’m mapping that out for you in the spirit of what it means to be a business architect.
Imagine trying to build a human mind from scratch.
You'd need memory to remember past experiences, reasoning to solve problems, senses to perceive the world, tools to interact with it, and safety mechanisms to prevent harm.
This is exactly what we're doing with AI agents—except we're building something that can scale beyond human limitations.
The AI agent stack isn't just a collection of technologies; it's an orchestrated system where each component amplifies the others.
When these building blocks work in harmony, they create intelligence that transcends the sum of their parts.
When they clash, they create the spectacular failures that make headlines.
But, to me, this is how the whole thing needs to look like, to be solid, at scale.
Let me explain!
The Core: Where Everything Begins and Ends
At the heart of every AI agent sits the Language Model—the reasoning engine that makes everything else possible.
Think of it as the prefrontal cortex of our artificial mind. Whether it's GPT-4, Claude, or Gemini, this component doesn't just process language; it:
Interprets intentions from human instructions
Orchestrates responses from all other components
Maintains coherence across complex, multi-step operations
Adapts dynamically to changing contexts and requirements
But here's what most people miss: the LLM alone is like a brilliant mind trapped in a sensory deprivation tank. It can think, but it cannot remember, perceive, or act. That's where the magic of integration begins.
Memory: The Foundation of Context and Learning
Without memory, every AI interaction would be like meeting someone with severe amnesia—brilliant perhaps, but utterly without context.
The memory architecture transforms stateless models into entities capable of growth and relationships.
The Four Pillars of AI Memory
