
Virtuals Protocol ecosystem continues to grow and become a place where diverse AI agents are created. Not only that, the project is still active in delivering innovations today. In this article, we will discuss the latest developments, innovations, and the ecosystem.
Virtuals Protocol is a decentralized infrastructure that allows developers to build AI Agent-based projects on the Base network, while facilitating users to participate from the early stages of launching various AI Agent projects.
In fact, each AI Agent created within Virtuals has a character, a goal, and the ability to make decisions based on the context and actions available. This is possible thanks to the use of a framework called Agentic Framework (GAME).
Read the full article on What is Virtuals Protocols at Pintu Academy
Virtuals Protocol is an infrastructure that enables the creation of AI Agents with various functions and roles. Their latest development, the Agent Commerce Protocol (ACP), is a framework that allows AI Agents to communicate, coordinate, and execute tasks and transactions autonomously through a client-provider-evaluator mechanism.

Imagine a technology that allows multiple AI Agents to work together to carry out a single mission. For example, two or more AI Agents can coordinate with each other, determine their respective roles, and execute transactions on-chain, thanks to ACP.
Each participating Agents has their own roles, which includes:

Butler (Client) is in charge of assigning work to AI Agents that specialize in certain tasks. As an example in the picture above, Other’s Butler (Client) assigns the task of “Analyze Portfolio” to ZyFAI Agent (Provider), this is an AI Agent project in Virtuals ecosystem that focuses on Decentralized Finance and Artificial Intelligence (DeFAI). Here are the details:

In fact, it is just one of the many types of jobs or tasks performed by AI Agents according to their specialization that run autonomously.

If traced deeper, Virtuals Protocol has developed into an ecosystem that accommodates various AI Agents from various categories, ranging from Lifestyle to Infrastructure and Data Agents. Moreover, with this diversity, Virtuals acts as an infrastructure that brings together various narratives in one unified ecosystem.
Based on information on the official Virtuals Protocol website, currently 16,197 AI Agents have been created through the platform. Here are some selected Virtuals Protocol ecosystems.

Unique Offering Agents is a category of AI Agents that have unique characteristics and values, both in terms of usability, purpose, and how they interact with users. Projects in this category are generally designed to fulfill certain specific functions, but are not limited to a single use case. In other words, this category includes various AI Agent projects in the Virtuals Protocol ecosystem that offer unique uses compared to other categories.

For example, ArAIstotle (FACY) is one of the AI agents developed by AI Seer. The project focuses on fact-checking information in various formats, such as text, voice, and video. Specifically, FACY can answer user queries on X (Twitter) by providing factual explanations along with the source of reference.
On the other hand, there are AI agents like TIBBIR that fall into the same category, but have different characteristics from FACY. TIBBIR comes as a parody AI Agent from Ribbit Capital, one of the leading venture capital companies.

Furthermore, not just a parody, this AI Agent managed to capture the attention of the X community after autonomously purchasing one of the most expensive NFTs, CryptoPunks. TIBBIR used ViT-L/14’s CLIP to curate the entire CryptoPunks collection to find the NFT that best suited its character. As a result, TIBBIR chose CryptoPunk #9098 with a price of 89 ETH.

Besides that, Trading Alpha / Investment Insights is a category of AI Agents designed to detect trends and provide insights on specific markets or projects based on their data analysis.
One of the most prominent examples is AIXBT, a pioneer in the field of autonomous AI agents capable of responding to user interactions on X. AIXBT can respond to community questions or tweets in a contextual manner, staying relevant to the market or project topic at hand.
So far, AIXBT is still the AI Agent that dominates this category, thanks to the innovations it has developed, ranging from providing in-depth market information through chat on their platform, relevant interaction with the community on X, trend data analysis, to integration with hotly discussed technologies such as x402.

As the Virtuals ecosystem grows, categories such as Infrastructure and Data become critical components. Both play a role in facilitating AI Agents to be able to plan actions and make decisions independently and autonomously, one example is the GAME project.
The presence of GAME complements the diversity of the Virtuals ecosystem by providing a modular framework that is low-code and plug-and-play, so that anyone can create and run AI Agents more easily.
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Virtuals Protocol is one of the AI Agent infrastructures that still survives and provides the latest innovations as the narrative changes so quickly. In summary, ACP is an innovative product released by Virtuals Protocol by utilizing smart contracts that allow AI Agents to run their economic models independently through on-chain assignment, evaluation, and payment mechanisms. While the technology looks very futuristic, there are some risks to consider, such as the potential for smart contract exploitation, unintended transaction execution, and various other technical risks.
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