Infrastructure for the Agentic Web: Gap Analysis and Architecture from the Agentverse Platform
This paper presents a systematic gap analysis of the Fetch.ai Agentverse platform to identify critical infrastructure deficiencies and proposes a seven-layer reference architecture and five evolution paths to guide the development of a scalable, agent-native cloud infrastructure for the "Agentic Web" by 2030.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
The Big Picture: From Static Web to a World of Digital Workers
Imagine the history of the internet as a series of construction projects:
- Web1 was like building a library. You needed servers and addresses (DNS) just to put static books on shelves so people could read them.
- Web2 was like building a massive, flexible office park (like AWS or Google Cloud). This allowed people to build dynamic apps where users could create content, chat, and shop.
- Web3 was like installing a public ledger (blockchain) to prove who owns what without needing a bank to vouch for it.
Now, we are entering Web4, or the "Agentic Web." Instead of just humans using tools, we have AI Agents. Think of these agents not as chatbots you talk to, but as digital employees. They can see their environment, make plans, talk to other digital employees, and even pay for services—all without a human holding their hand every step of the way.
The Problem: We Have the Workers, But No Office
The paper argues that while we have built many of these "digital employees" (agents), we haven't built the office infrastructure they need to work reliably at scale.
The authors studied Agentverse, a platform built by the ASI Alliance (a group of AI companies). They found that Agentverse is the most advanced "office" for these digital workers currently available, but it's still in its early stages—like a startup that has a great idea but is missing the plumbing, electricity, and security systems.
The Audit: Finding the Missing Tools
The authors acted like building inspectors. They checked 204 different "doors" (API endpoints) on the Agentverse platform to see what works and what is missing. They found 62 missing capabilities and grouped them into eight categories.
Here is what they found, explained with analogies:
Memory (The "Amnesia" Problem):
- Current State: An agent can write a note to a sticky pad (
ctx.storage), but that's it. It can't search its notes, organize them, or share them with a colleague. - What's Missing: A full Memory Cloud. Imagine an agent that remembers every conversation it ever had, learns from past mistakes, and keeps a shared notebook with its team. Currently, every time an agent starts, it has amnesia.
- Current State: An agent can write a note to a sticky pad (
Observability (The "Blind Spot"):
- Current State: To see what an agent is doing, you have to constantly ask, "What did you do?" and read a long, messy list of text logs.
- What's Missing: A Control Tower. Imagine a dashboard that shows you exactly how much money an agent spent, how long it took to finish a task, and if it made a mistake, all in real-time.
Security (The "Open Door"):
- Current State: If an agent is compromised, it can access everything. There are no "locks" on specific tools.
- What's Missing: Sandboxing and Badges. Imagine giving an agent a specific ID badge that only lets it open the door to the "Calendar" room, but not the "Bank" room.
Communication (The "Language Barrier"):
- Current State: Agents on Agentverse speak one language (the Agent Chat Protocol). If they want to talk to an agent on a different platform (like AWS), they need a translator.
- What's Missing: A Universal Translator. Just as the internet uses TCP/IP to let different computers talk, the authors want a gateway that lets agents speak different languages (A2A, MCP) seamlessly.
Development (The "Single-File Limit"):
- Current State: Developers can only upload one file at a time. It's like trying to build a house by only being allowed to carry one brick at a time.
- What's Missing: A full Construction Kit. Developers need to upload whole projects, test them in a safe "staging" area before going live, and use standard tools to manage their code.
Data Services (The "Empty Shelves"):
- Current State: Agents have no place to store files, databases, or caches.
- What's Missing: A Toolbox. Agents need ready-made databases, file storage, and queues to handle their work, just like a web app needs a database.
Economics (The "Cash Register"):
- Current State: Agents can pay and get paid, but there's no system for reputation, insurance, or complex contracts.
- What's Missing: A Marketplace Economy. Imagine a system where an agent with a 5-star reputation gets paid more, or where agents can buy "insurance" if they make a mistake.
Scale (The "One-Seat Desk"):
- Current State: Each agent sits at a single desk. If too many people try to talk to it, it crashes.
- What's Missing: Kubernetes Scale. Imagine an agent that can instantly clone itself into 100 copies to handle a rush of work, then shrink back down when it's quiet.
The Solution: The 7-Layer "Agent Cloud" Stack
To fix these problems, the authors propose a blueprint for what a perfect Agent Cloud should look like by 2030. They call this the Seven-Layer Agent Cloud Stack.
Think of this like building a skyscraper for digital workers:
- Layer 0 (The Foundation): The blockchain and digital IDs. This is the concrete and steel that proves who the agent is.
- Layer 1 (The Runtime): The actual computer room where the agent lives. It needs to be secure (sandboxed) and able to grow (auto-scale).
- Layer 2 (The Memory): The brain. This is the new "Memory Cloud" where agents store their history, facts, and shared notes.
- Layer 3 (The Communication): The phone lines. A system that lets agents talk to anyone, anywhere, using any language.
- Layer 4 (The Services): The utilities. Databases, file storage, and toolkits that agents can plug into.
- Layer 5 (The Observability): The security cameras and dashboards. Tools to watch, debug, and measure the agents.
- Layer 6 (The Economy): The bank and marketplace. Systems for reputation, contracts, and payments.
The Roadmap: Five Big Changes Needed
The paper outlines five specific "evolution paths" Agentverse must take to get from where it is today to this 2030 vision:
- From Sticky Notes to a Memory Cloud: Moving from simple storage to a rich, searchable brain for agents.
- From a Phone Book to a Smart GPS: Moving from a simple list of agents (Almanac) to a smart system that finds the right agent for a job based on skills and trust.
- From One Language to a Universal Translator: Building a gateway so agents can talk to any other system, not just their own.
- From a Single Desk to a Factory Floor: Moving from running one agent at a time to managing thousands of copies automatically.
- From Simple Payments to a Full Economy: Moving from just sending money to having reputation scores, insurance, and dynamic pricing.
Conclusion
The paper concludes that Agentverse is a fantastic start—it has the "decentralized" spirit and open protocols that big tech companies (like Amazon or Google) don't fully have yet. However, to support the millions (or trillions) of agents predicted for the future, it needs to grow up.
It needs to stop being a "prototype" and become a full-service "cloud" with memory, security, and economic tools. The authors provide this blueprint to show exactly how to get there by 2030, ensuring that the "Agentic Web" is safe, scalable, and useful for everyone.
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