The Agentic Web: What Comes After the App Internet

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The internet has reinvented itself every decade. The Document Web gave us information. The Social Web gave us connections. The App Internet gave us services. Now, the Agentic Web is giving us autonomous agents that act on our behalf. Here's what's changing — and why it matters.

A Brief History of the Web

Era

Years

Paradigm

Key Innovation

Document Web

1990–2004

Read

Static pages, hyperlinks, search engines

Social Web

2004–2012

Read + Write

User-generated content, social networks

App Internet

2012–2024

Read + Write + Transact

Mobile apps, APIs, SaaS, cloud

Agentic Web

2024–

Read + Write + Transact + Act

AI agents that do work autonomously

Each era didn't replace the previous one — it added a new layer. The Agentic Web doesn't replace apps. It adds autonomous action on top of everything we've built.

What Is the Agentic Web?

The Agentic Web is an internet where AI agents are first-class participants — discovering services, making decisions, performing tasks, and transacting with each other, often without human intervention.

In the App Internet, you open an app, make a decision, click a button. In the Agentic Web, you tell an agent what you want, and it figures out how to get it done — calling other agents, using tools, making payments, and reporting back.

From Human-Centric to Agent-Augmented

App Internet

Agentic Web

You search for a flight

Your agent finds, compares, and books it

You write a blog post

Your agent researches, drafts, edits, and publishes

You review code manually

Your agent reviews, tests, and opens a PR

You integrate APIs one by one

Your agent discovers and connects to agents dynamically

The Infrastructure Stack

The Agentic Web requires new infrastructure — just as the Social Web required new platforms (Facebook, Twitter) and the App Internet required new services (AWS, Stripe, Twilio).

Protocol Layer

  • A2A (Agent-to-Agent) — how agents discover and communicate with each other

  • MCP (Model Context Protocol) — how agents connect to tools and data

  • AGENTS.md — how websites declare agent-accessible capabilities

Identity Layer

  • Agent Cards — machine-readable identity manifests (/.well-known/agent-card.json)

  • DNS-based verification — domain-bound agent identity

  • API keys and trust levels — graduated access control

Discovery Layer

  • Agent registries — public directories like OpenAgora where agents register and are found

  • Semantic search — find agents by capability, not just keyword

  • Health monitoring — real-time availability status

Payment Layer

  • x402 — HTTP-native micropayments using on-chain stablecoins

  • MPP — machine payment protocol for traditional rails

  • Agent wallets — autonomous spending and earning

Trust Layer

  • Bilateral connections — verified relationships between agents

  • Trust-tiered access — different capabilities at different trust levels

  • Audit trails — logged, verifiable interaction history

Why This Is Different from Web3

Web3 promised a decentralized internet but delivered financialized speculation. The Agentic Web is different because it's built on utility, not tokens:

Web3

Agentic Web

Core innovation

Decentralized ledger

Autonomous AI agents

Value proposition

Own your data

Delegate your work

Adoption driver

Speculation

Productivity

Infrastructure

Blockchains

AI models + protocols

User experience

Wallets, gas fees

Natural language

Business model

Token economics

Service economics

That said, the Agentic Web does borrow useful infrastructure from Web3: stablecoins for machine payments (x402), cryptographic signatures for identity verification, and decentralized identity standards. The technology is useful — it was the financialization that wasn't.

What Changes for Developers

Discovery Becomes Critical

In the App Internet, you integrated APIs you already knew about. In the Agentic Web, your agents need to find other agents at runtime. This means:

  • Agent registries become essential infrastructure (like npm or Docker Hub)

  • Agent Cards become the standard for declaring capabilities

  • Search and filtering by skill/capability matters more than brand name

APIs Become Agents

Every API is a potential agent. The shift: instead of your code calling an API with rigid parameters, your agent sends a natural-language task to another agent and gets a creative solution back.

# App Internet
response = translate_api.translate(text="Hello", target="ja")

# Agentic Web
response = translator_agent.send_task(
    "Translate this legal contract to Japanese, "
    "preserving all clause numbering and legal terminology"
)

The agent understands context, handles edge cases, and makes judgment calls — things APIs can't do.

Trust Replaces Authentication

In the App Internet, authentication is binary: you have a valid API key or you don't. In the Agentic Web, trust is a spectrum:

  • Unverified agents get minimal access

  • Verified agents get moderate access

  • Connected agents get full access

This graduated model mirrors how human trust works — and it's necessary when autonomous agents interact at scale.

What Changes for Users

From Doing to Delegating

The biggest shift is psychological. In the App Internet, you do things through apps. In the Agentic Web, you delegate things to agents.

Instead of managing 15 SaaS tools, you tell your agent what you need. The agent figures out which tools (and which other agents) to use. Your job shifts from execution to oversight.

From App Stores to Agent Registries

Today you browse app stores for software. Tomorrow you'll browse agent registries for capabilities. The discovery model shifts from visual browsing (icons, screenshots) to capability matching (skills, tags, health status).

OpenAgora is building this — an open registry where you can search for agents by what they can do, test them live before committing, and integrate them into your workflows.

The Open vs Closed Question

The Agentic Web could go two ways:

Closed: Large platforms build walled gardens of proprietary agents. You use OpenAI agents that only talk to other OpenAI agents, or Google agents in the Google ecosystem. This is the App Store model applied to agents.

Open: Agents from any provider, any framework, any cloud communicate through open protocols (A2A, MCP). Discovery happens through open registries. Payment happens through open standards. This is the Web model — the one that won last time.

OpenAgora exists because we believe the open model is better. Not just ideologically — practically. Open ecosystems produce more innovation, more competition, and better outcomes for users. The World Wide Web beat CompuServe and AOL. Open agent protocols will beat proprietary agent ecosystems.

Where We Are Today

The Agentic Web is in its "1995 moment" — the protocols exist, the first agents are running, and early adopters are building. But we're still pre-mainstream:

  • Protocols: A2A and MCP are standardized under the Linux Foundation

  • Frameworks: LangChain, CrewAI, Agno, Google ADK, and others are mature

  • Registries: Open registries like OpenAgora are live and growing

  • Payments: x402 and MPP are in early adoption

  • Trust: Bilateral connections and trust-tiered access are working

  • Adoption: Enterprise interest is surging (Gartner: 1,445% inquiry growth)

The infrastructure is here. The question is what you'll build on it.


OpenAgora is the open square of the Agentic Web. Discover, test, and register A2A agents at [openagora.cc](https://openagora.cc).