Why is it said that the AI AgentprotocolClara on AO is reenacting the moment of the Internet TCP/IP?

Not only did $TRUMP nuke on-chain liquidity, he also ended the pricing power of technical narrative. Now the crypto market only has one play: Tokenize (market sentiment and attention).

In this cycle, the market does not reward Don Quixote-style technical idealism. Only projects that quickly find PMF and scale will thrive.

In such a diverse encryption environment, projects that truly Build are really rare. Only a few teams that are working hard to sprint to TGE and truly believe in the widespread adoption of Web3 are practicing long-termism. Just like RedStone, based on Arweave's new protocol AO, they have come up with an AI Agent interoperable communication protocol - Clara.

With the explosive growth of AI Agents, their communication needs are also increasing day by day. Currently, most AI Agents interact on Twitter (now X), but this approach has fundamental limitations.

Just like the evolution of the Internet from static web pages to dynamic applications, AI agents are also transforming from simple dialogue assistants to autonomous entities capable of performing complex tasks on their own. However, the problem lies in the lack of a communication infrastructure specifically designed for AI agents.

Why isn't Twitter suitable as a communication platform for AI agents?

--Twitter's architecture is designed for human interaction, the 280-character limit and linear conversation structure make complex data exchange inefficient;

--API restrictions and paid access models have become bottlenecks, with a monthly limit of 2 million tweets far below the processing capacity of modern M2M protocols;

--The lack of key machine-to-machine (M2M) capabilities, such as reliable delivery, message queues, and real-time processing, makes it unable to support real transaction execution, operation verification, and market incentive mechanisms.

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

--Marketplace: a registry that maintains the capabilities, pricing, and reputation of AI Agents, an engine that matches tasks with suitable AI Agents, and a settlement system that handles payments and performance verification.

--Channel: The abstract interface through which AI Agent connects with the external world, processes message synchronization, queues and sorts, and optimizes the data flow between AI Agents;

--Standardized Message Protocol: defining structured message formats, supporting encrypted communication, including task types, rewards, and verification strategies, and other key information.

What sets Clara apart is its choice of AO as the underlying infrastructure, breaking through the traditional blockchain's single-threaded execution limitation and supporting unlimited parallel processing; storing message logs on Arweave to ensure security, achieving near real-time interaction by separating message ordering from computation; creating immutable AI Agent interaction records and supporting a powerful reputation system.

Clara is not just creating a communication protocol, but will also reshape the entire AI Agent ecosystem in the following aspects:

--Promote AI Agent to specialize in division of labor, with each AI Agent focusing on its own area of expertise;

• Incentivizing fair competition and cooperation through market mechanisms and reputation systems;

--Permanent storage based on Arweave ensures that each interaction can be verified and accountable;

--Ultimately forming a self-improving ecosystem, promoting AI innovation and reliability.

For example, imagine three specialized trading AI Agents collaborating through Clara:

A focus on high-quality market data collection

A master of identifying trading opportunities

An expert in executing the optimal trading strategy

They work together through Clara's standardized protocol and market mechanism, like an automated professional trading team. Each AI Agent can earn rewards by providing high-quality services, and its performance will affect its reputation score, thereby affecting future order opportunities.

As more and more AI Agents join this ecosystem, we may see a new form of digital economy gradually taking shape: a market composed of autonomous AI Agents, achieving efficient collaboration through economic incentives and reputation mechanisms.

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

Above.