AI Beyond the Hype!

From Semantic Layer to Context Engineering: Why ABI Was Already There

Every now and then, big tech comes up with a shiny new term to describe something that’s already been built in the trenches.

ABI (Agent-Based Infrastructure) is evolving into a modular architecture that not only coordinates intelligent agents, but also generates, shares, and reuses knowledge through a distributed semantic layer.

This week, IBM is talking about Context Engineering as if it’s the next breakthrough. But in ABI, we’ve been doing that since day one — we just called it what it really is: the Semantic Layer.

But, What Semantic Layer means in ABI?

In ABI, context isn’t an afterthought. It’s the infrastructure.
Our Semantic Layer is not slides or theory — it’s running code. Agents publish and consume embeddings in real time, weaving a shared semantic fabric where collaboration, memory, and context are alive and distributed.

Not static. Not bolted on. Native.

IBM’s “new” Context Engineering

What IBM calls Context Engineering is basically the recognition that you need to design context if you want models to be useful.
Good. True. But let’s be clear: ABI already had that built in.

In parallel, a vision is emerging: ABI as an educational platform, where students interact with agents, embeddings, and distributed coordination strategies. ABI becomes a living, interactive, frontier-learning environment.

ABI vs. IBM

The difference isn’t vision, it’s timing.

• IBM is naming it.

• ABI is running it.

Open, modular, pragmatic. ABI is already testing what others are just now announcing.

Why it matters

When a giant like IBM validates an idea, it proves the value. But it also proves something else: that open, independent builders can move faster and set the pace.

Just like Linux, Kubernetes, or Transformers — what starts as “out there” quickly becomes the standard.

Bottom line
The future isn’t just about bigger models. It’s about smarter context.
IBM now calls it Context Engineering.
ABI has been doing it from the start with its Semantic Layer.

The difference between hype and reality?
ABI doesn’t wait for the market to invent new words. We build it first.

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🔥 In our next post, we’ll introduce Semantic Mesh.
ABI (Agent-Based Infrastructure) is evolving into a modular architecture that not only coordinates intelligent agents, but also generates, shares, and reuses knowledge through a distributed semantic layer.

This new layer, EmbeddingMesh, uses vector embeddings as a form of living memory, allowing agents to communicate and retrieve meaning beyond rigid rules or symbolic ontologies.

And beyond infra, a vision is emerging: ABI as an educational platform — where students interact with agents, embeddings, and distributed coordination strategies. ABI becomes a living, interactive, frontier-learning environment.