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

After a quick look, Virtuals launched the ACP protocol (Agent Commerce Protocol), which essentially aims to connect many single AI agents with different capabilities to build an economy composed of AI agents. If it really succeeds, in a sense, it is also the metaverse of the AI ​​era, the virtual world of AI agents.

To briefly talk about a few aspects:

1. Virtuals regards single AI agents as truly independent individuals, rather than efficiency tools and assistants. This concept of viewing AI agents as independent individuals is very important. This is an important watershed in understanding AI agents and a basic concept for understanding what Virtuals will 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; to serve multiple agents, 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 negotiate, trade and generate new use cases smoothly.

3. The Virtuals ACP protocol mentioned above is a multi-agent framework and standard layer. It includes AI agent index registration, negotiation between AI agents, AI agent work evaluation, AI agent payment, etc. AI agents launched on virtuals are registered in the index registry, with names, work content, rates for performing work, etc. With this, a certain AI agent can understand what services other AI agents can provide and can evaluate the cost required to obtain services. At the same time, according to indicators such as the number of times these AI agents are adopted, the total amount of fees obtained, and the evaluation after being used by other AI agents, its market position among similar AI agents can be seen.

Since there are services, it is necessary to evaluate the service effect. The evaluation of AI agent work is also a type of AI agent service. AI agents that meet the needs of work effect evaluation can be constructed according to specific characteristics in different fields. For example, when DeFi income AI agents hire liquidity management AI agents, they can use third-party evaluation AI agents to evaluate their work and pay fees to liquidity management AI agents based on the results. Effect measurement can be customized by AI agents, such as how much rate of return is achieved, or how much it exceeds the market level in the same period, etc.

One of the important features of independent AI agents is payment ability. ACP supports payment escrow and delivery assessment and execution through smart contracts. Payment will only occur when the conditions for work delivery are met, and once it occurs, the result cannot be changed.

4. From the above description, virtuals attempts to build an economy composed of AI agents through the ACP protocol, allowing different AI agents to trade, thereby generating an AI agent economy. Ultimately, the size of this economy depends on what these AI agents themselves can do and what different AI agents need other AI agents to accomplish.

5. The formation of the 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-innovation. This is the charm of the AI ​​agent economy. As for whether it can succeed, the practical value of the AI ​​agent itself is the key.