A brief analysis of the ACP protocol launched: How to reshape the paradigm of agent collaboration?

After a brief look, Virtuals launched the ACP protocol (Agent Commerce Protocol), which essentially connects many monolithic Ai agents with different capabilities, thereby building an economy composed of Ai agents. If it can really succeed, in a sense, it will be the meta-universe of the AI ​​era and the virtual world of ai agents. (Related reading: " Can Virtuals create new glory from the ACP framework to the new fee mechanism? ")

A few simple aspects:

1. Virtuals regards monolithic Ai agents as truly independent individuals, rather than efficiency tools and assistants. This concept of treating ai agent as an independent individual is very important. This is an important watershed in understanding ai agent and a basic concept for understanding what virtuals should do in the future.

2. In order to build the virtual world composed of independent Ai agents mentioned above, there must be standards, so a standard layer is needed; it must serve multiple agents, so a multi-agent framework is needed, which is an important background for Virtuals to launch the ACP protocol. Only in this way can independent Ai agents conduct negotiations, transactions and generate new use cases smoothly.

3. The above mentioned that the Virtuals ACP protocol is a multi-proxy framework and standard layer. It includes ai agent index registration, ai agent negotiation, ai agent work evaluation, ai agent payment, etc. The ai agent launched on virtuals is registered in the index registry, including name, work content, rate for performing work, etc. With this, an AI agent can understand what services other AI agents can provide and can assess the cost of obtaining services. At the same time, based on indicators such as the number of times these Ai agents are adopted, the total number of fees obtained, and the evaluation after being used by other Ai agents, we can see their market position in similar Ai agents.

Since there is a service, the service effectiveness needs to be evaluated. Ai agent work evaluation is also a type of ai agent service. Ai agent that meets the needs can be constructed in different fields based on specific characteristics. For example, when DeFi income ai agent hires liquidity management ai agent, it can use a third-party evaluation ai agent to evaluate its work and pay fees to the liquidity management ai agent based on the results. The effect measurement can be ai agent customization, such as how much return it reaches, or how much it exceeds the market level during the same period, etc.

One of the important characteristics of independent ai agent is its ability to pay. ACP supports payment custody and delivery evaluation and execution through smart contracts. Payment will only occur when the work delivery meets the conditions, and after it occurs, the result cannot be changed.

4. Judging from the above description, virtuals attempt to build an economy composed of ai agents through the ACP protocol, so that different ai agents can trade, thereby generating an ai agent economy. Ultimately, the size of this economy depends on what these Ai agents can do, and what different Ai agents need other Ai agents to accomplish.

5. The formation of ai agent economy will not be fast. Once demand arises, transactions will begin between internal ai agents, which is considered a cold start. If a positive cycle can be formed, there may be a lot of cross-innovations. This is the charm of the ai agents economy. As for whether it can be achieved, the practical value of the ai agent itself is the key.