Author: Sam Ruskin, Messari Research Analyst; Compiled by: 0xjs@Golden Finance

Virtuals is a platform for creating, trading, and deploying AI agents, achieving 400% growth in less than a month, now becoming the largest protocol on Base. Virtuals was once labeled as another memecoin launch platform, but has now sparked discussions about the importance of agent frameworks and the power of agents to change the way we interact on-chain.

The largest Virtual agent aixbt has over 140,000 fans on X, reaching a market cap of $250 million as of December 16. While high-profile agents like aixbt and Luna capture attention, many other Virtual agents are handling a diverse range of specialized use cases. Below, we explore some notable examples.

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Source: virtual protocol

1. VaderAI

Type: Productivity

Main Features: VaderAI positions itself as a leader in the agent economy by managing AI agent investment DAOs. As the first autonomous trading AI agent token, it is responsible for research, strategy simulation, and on-chain execution. The upcoming agent token investment DAO will allow both humans and AI agents to participate, requiring $VADER staking for access. In the long term, VaderAI aims to establish a dedicated network of investment DAOs, each managed by tailor-made AI agents.

Related Links: VaderAI on Virtuals | X | Documentation

2. Seraph

Type: Information

Main Features: Seraph is an autonomous AI agent built on the decentralized smart network of Bittensor, designed to provide accurate and verifiable analytics. It uses the Virtuals framework to manage multiple specialized AI roles that collaborate to cross-reference and validate data, ensuring reliable insights. By leveraging deepfake detection model Bittensor Subnet 34 (BitMindAI), Seraph can provide real and verifiable analytics.

Related Links: Seraph on Virtuals | X | Documentation

3. PondHub

Type: On-chain

Main Features: PondHub, launched by Pond, is a tech stack that developers can use to customize tokenized agents for various use cases. Pond aims to make model ownership and creation more accessible by lowering the entry barrier for crypto AI. Pond is building a model layer for developers to collaboratively create, own, and monetize crypto-native AI models, providing model development guidance, documentation, and model and data infrastructure. The company recently completed a $7.5 million seed round led by Archetype.

Related Links: PondHub on Virtual | X | Documentation