Author: Sam Ruskin, Messari Research Analyst; Compiled by: 0xjs@Golden Finance
Virtuals is a platform for creating, trading, and deploying AI agents, achieving a 400% growth in less than a month, and has now become the largest protocol on Base. Virtuals has been labeled as another memecoin launch platform, and it has 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 followers on X and reached 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 tackling a variety of specialized use cases. Below, we explore some notable examples.
Source: virtual protocol
1. VaderAI
Type: Productivity
Main Features: VaderAI positions itself as a leader in the agent economy through managing an AI agent investment DAO. As the first AI to autonomously trade AI agent tokens, 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 custom-built AI agents.
Related Links: VaderAI on Virtuals | X | Documentation
2. Seraph
Type: Information
Main Features: Seraph is an autonomous AI agent built on a decentralized intelligence network based on Bittensor, designed to provide accurate and verifiable analysis. It utilizes the Virtuals framework to manage multiple specialized AI roles that collaborate to cross-reference and verify data, ensuring reliable insights. By leveraging deep fake detection model Bittensor Subnet 34 (BitMindAI), Seraph can provide real and verifiable analysis.
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 lower the barriers to entry for crypto AI, making model ownership and creation more accessible. Pond is building a model layer for developers to collaboratively create, own, and monetize crypto-native AI models, providing 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
