Let’s Talk About Agentic Web (or Web 4.0)

Something is changing deeply in how we use the internet, how we develop software, and how we interact with artificial intelligence. Maybe you’re feeling it too: it’s not just a new tool, it’s a new way of thinking about the web.

Many are starting to call this Agentic Web, or simply, Web 4.0.

If Web 1.0 was read-only, Web 2.0 let us interact and collaborate (social media, blogs), and Web 3.0 talked about decentralization and connected data (blockchain, semantic web), now Web 4.0 introduces autonomous agents capable of reasoning, acting, and collaborating with each other.

What exactly is the Agentic Web?

It’s a new paradigm where users no longer interact directly with applications or APIs, but with intelligent agents that act as active, autonomous, and context-aware intermediaries.

These agents can:

Remember what you did or asked before.
Learn about your interests.
Choose the best tools to help you.
Collaborate among themselves to solve more complex problems.

And all this happens smoothly, conversationally, and often invisibly to the user.

Why is this so different from what we know?

In today’s web (2.0 or 3.0), if you want something done, you take the initiative:

You search on Google.
You call APIs from code.
Or you integrate specific tools.

In Web 4.0, you just declare an intention, and an agent does the rest.

Here’s a simple comparison:

Action	Web 2.0 / 3.0	Agentic Web (4.0)
Search for a flight.	You check 3 different sites yourself.	The agent does it for you.
Ask for a meeting summary.	You upload the video and wait.	The agent already knows and summarizes automatically.
Create a dashboard.	You design, connect, and test.	The agent decides what to show and why.

From APIs to agents that reason about APIs

Here’s where things might blow everyone’s mind a bit:

In this new model, agents no longer execute APIs as fixed steps, but reason about when, how, and which ones to combine.

This is possible thanks to protocols like the Model Context Protocol (MCP), which allow multiple components (models, APIs, data sources, memories) to communicate in real time, interoperably.

The agent can read documentation, understand an endpoint’s purpose, generate the necessary code, and execute it—all based on the context of your request.

Models that select models

Now we enter even more fascinating territory.

There are models designed just to choose which other models to use. Instead of you deciding whether to use GPT-4, an embeddings model, or a classifier… a selector model decides for you.

Here’s how this system works:

Model Role	Main Function	Practical Example
Selector (router)	Decides which model to use depending on the task.	“Is this a search, generation, or classification?”
Specialist	Performs a specific function.	GPT-4, vision model, embeddings, etc.
Orchestrator	Coordinates multiple specialists and synthesizes results.	Unifies answers, resolves conflicts, and provides final output.

This enables adaptive behavior: the system can change strategies if your question changes, if no data is available, or if multiple approaches need to be combined.

Memory: the jewel that connects it all

One of the deepest changes is that agents now have long-term memory.

That means they can:

Remember your writing style.
Know you’re planning a trip.
Learn your schedules or routines.
Adapt if today you’re more technical or more emotional.

And the coolest part: this memory can be modular and secure. You decide what they remember and what they forget. The experience becomes more personalized with each interaction, without needing to reconfigure everything every time.

This is already happening

It’s no longer just the future—it’s the present. Platforms like OpenAI, Microsoft Azure, LangChain, Cohere, and others are already building on this logic.

Real examples

Microsoft Copilot now includes memory and planning for complex tasks.
LangChain orchestrates agents that use multiple tools and decide their own steps.
Semantic Kernel on Azure helps agents plan tasks, save memory, and combine functions.
Some agents even write code to integrate new APIs they didn’t know before.

A new chapter for the web, and for us

What excites me most isn’t the technology, but the human potential behind it all.

We’re entering an era where systems understand intentions, collaborate with us, and remember who we are. A web where intelligence is distributed, contextual, and deeply human.

The Agentic Web won’t be just another tool. It will be a new place to think, create, and live.

And you, are you already talking to your agents?

Let’s keep in touch! 🚀 X / LinkedIn - esdanielgomez.com