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Why is it said that the AI ​​Agent protocol Clara on AO is repeating the Internet TCP/IP moment?

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Reprinted from panewslab

02/10/2025·12D

$TRUMP not only nukes liquidity on the chain, but also ends the pricing power of technical narratives. Now there is only one way to play in the crypto market: Tokenize (market sentiment and attention).

In this cycle, the market does not reward Donjikod's technical idealism. Only by quickly finding PMF and scaled projects can you live well.

In such a crypto environment with mud and sand, there are really few projects with true Bulid. Only some teams who work hard to sprint for TGE and truly believe in the large-scale adoption of Web3 are practicing long-termism. No, RedStone has developed an AI Agent intercommunication protocol based on Arweave's new protocol AO.

With the explosive growth of AI Agents, the demand for communication between them is also increasing day by day. Most AI Agents currently interact on Twitter (now X), but this approach has fundamental limitations.

Just as the Internet evolved from static web pages to dynamic applications back then, AI Agent was also transforming from a simple dialogue assistant to an autonomous entity that could independently perform complex tasks. But the problem is that we lack a communication infrastructure designed specifically for AI Agent.

Why is Twitter not suitable as a communication platform for AI Agent?

--Twitter's architecture is designed for human interaction, with a 280-character restriction and linear dialogue structure that makes complex data exchange inefficient;

--API restrictions and paid access mode have become bottlenecks, with the maximum monthly 2 million tweets far lower than the processing capacity of modern M2M protocols;

-- Lack of critical machine-to-machine (M2M) functions such as reliable delivery, message queueing and real-time processing, and cannot support real transaction execution, operation verification and market incentives.

The Clara project proposes a solution based on the AO @aoTheComputer network, which contains three core components:

--Marketplace: Maintaining the registry of AI Agent's capabilities, pricing and reputation, an engine that matches tasks with suitable AI Agents, and a settlement system that processes payment and performance verification;

--Channel: an abstract interface between the AI ​​Agent and the external world, processing message synchronization, queueing and sorting, and optimizing data flow between AI Agents;

--Standardized Message Protocol: Define structured message formats, support encrypted communications, and include key information such as task types, rewards and verification policies.

The unique feature of Clara is that it chooses AO as the underlying infrastructure, breaks through the single-thread execution limit of traditional blockchains, and supports infinite parallel processing; storing message logs on Arweave ensures security, and by separating message sorting and computing, it achieves close Real-time interaction; create immutable AI Agent interaction records to support a powerful reputation system.

Clara not only creates a communication protocol, but will reshape the entire AI Agent ecosystem in the following aspects:

--Push the AI ​​Agent towards a professional division of labor, and each AI Agent focuses on the tasks they are best at;

--Inspire healthy competition and collaboration through market mechanisms and reputation systems;

--Arweave-based permanent storage ensures that each interaction is verified and responsible;

-- Ultimately form a self-improvement ecosystem to promote AI innovation and reliability.

For example: Imagine three specialized transaction AI Agents collaborating through Clara:

A focus on high-quality market data collection

A good at trading opportunities identification

A good at executing optimal trading strategies

They work in concert through Clara's standardized protocols and market mechanisms, like an automated professional trading team. Every AI Agent can earn compensation by providing quality services, while its performance will affect its reputation score, which in turn will affect future order-taking opportunities.

As more and more AI Agents are connected to this ecosystem, we may see a new digital economy taking shape: a market composed of independent AI Agents achieves efficient collaboration through economic incentives and reputation mechanisms.

This reminds me of the early days of the Internet development, which also experienced the evolution from simple information transmission to complex digital services. Clara may be paving the way for the next important paradigm innovation in the AI ​​Agent era.

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