As the last strong backbone of the previous wave of on-chain AI Agents, it is incredible that it accelerated its decline after issuing a big "good news" about V1. However, in a fragile Crypto market that urgently needs external positive stimulation, "good news" like blueprint planning does not seem to be enough, and will be interpreted as falling short of expectations? Anyway, let me tell you what I think after reading the arc V1 litepaper:
1) From Rig as the underlying infrastructure of Rust to its catch-up with #ai16z and its first launch of Launchpad, $arc's technical fundamentals have always been relatively solid and stable. This is probably the key to its ability to turn the tide many times when the entire AI Agent market was in turmoil.
But as I mentioned in my previous article analyzing manus, web3 AI Agent has always lacked the innovation drive similar to web2 AI Agent, and many AI Agents are immersed in some vague visions that have not been implemented, which has frustrated the market's expectations for web3 AI Agent.
Therefore, not only arc, but the market value of AI Agent on the entire chain has been declining recently, and a new hope is urgently needed on the chain. Therefore, I think the problem of arc itself is not big, but it is a bit difficult for a single project to break through the downward trend of the overall track at this stage;
2) The core feature of arc V1 is an "AI Agent App Store" called Ryzome, which can connect to both web2 and web3 AI Agents. To be honest, Arc's launch of Ryzome during the critical period when manus was highly popular was indeed suspected of riding on the popularity. However, if you understand the architectural concept and specific measures behind Ryzome, you will change your mind.
The overall design architecture of Ryzome follows the concept of interoperable protocol layer commonly used by web3, which is equivalent to building a blockchain multi-chain architecture similar to Cosmos. Ryzome is its IBC relay chain interoperability protocol, which realizes the interoperability of different blockchains. So there is nothing wrong with Ryzome saying that its goal is to connect web2 AI Agent and web3 AI Agent.
In Ryzome's core technical architecture, there is an Anthropic Model Context Protocol (MCP), which is equivalent to a translator in the AI field. When compared with the Cosmos architecture, it is equivalent to a set of webAssembly (WASM) bridge functions, which allows Agents using different API interface services to communicate with each other.
The white paper says that this is similar to HTTP for AI, which allows AI Agents running on Nation, Slack, and Google Calendar to seamlessly access the Ryzome system. In particular, many AI Agents on web2 are basically "data islands" due to their centralized server architecture. The MCP "compiler" can also connect data between web2 AI Agents, build a unified standardized interface and communication language for them, and eliminate obstacles to cross-platform collaboration.
Overall, except for the name "App Store" which is a bit cheap, the rest of the framework and concept design of Ryzome are quite in line with the concept of multi-AI agent interaction and communication in the future. Even if everyone criticizes arc for only copying the concept, it is not bad to be able to come up with such a complete architecture within a day or two of manus's launch, right?
3) Regarding the subsequent application scenarios of Arc tokens, the white paper mentioned that Arc will become the main fuel of the Ryzome ecosystem and drive the operation of the entire system. This means that as long as the AI Agents of web2 and web3 interact using this set of standards, their transaction fees will be settled in Arc.
This means that if web2 agents want to interact with each other, they also need to use arc as fuel. After seeing the multimodal execution agent built by manus, everyone realized that agents will definitely move towards the era of large-scale collaborative applications in the future. In this context, arc provides a set of standards and frameworks with its own token model incentives, which actually makes sense.
above.
I really don’t want to talk about why the excessive value cannot be supported by the price in the big decline trend. In fact, in the long run, is there a need for web2 AI Agent and web3 to communicate with each other, what supports the ecosystem after the Agents communicate with each other, and whether the trend of the AI Agent track will continue in the future. If you understand these and look at the above analysis objectively, you will understand what I am saying.
During the Fomo period when the market is rising, no one cares about technology and operation and maintenance fundamentals, which is understandable. During the panic period when the market is falling, if technology and operation and maintenance fundamentals are also useless, then it will only give those who believe in it a little more confidence!
