Author: Sam Ruskin, Messari Research Analyst; Translated by 0xjs@Jinse Finance
Virtuals is a platform for creating, trading, and deploying AI agents that has seen 400% growth in less than a month, now becoming the largest protocol on Base. Virtuals was once labeled as another meme coin launch platform, but has now sparked important discussions about the significance of the agent framework 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 as of December 16th, had a market cap of $250 million. While high-profile agents like aixbt and Luna have captured people's attention, many other Virtual agents are tackling a variety of specialized use cases. Below, we explore some noteworthy examples.
Source: Virtual protocol
1. VaderAI
Type: Productivity
Key features: VaderAI positions itself as a leader in the agent economy by managing an AI agent investment DAO. 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 to access. In the long run, VaderAI aims to establish a dedicated investment DAO network, each managed by a custom-built AI agent.
Related links: VaderAI on Virtuals | X |Docs
2. Seraph
Type: Information
Key features: Seraph is an autonomous AI agent built on the decentralized Bittensor network, aiming to provide accurate and verifiable analysis. It uses the Virtuals framework to manage multiple specialized AI roles that collaborate to cross-reference and validate data, ensuring reliable insights. By leveraging the deep fake detection model Bittensor Subnet 34 (BitMindAI), Seraph can provide genuine and verifiable analysis.
Related links: Seraph on Virtuals | X |Docs
3. PondHub
Type: On-chain
Key features: PondHub is a technology stack launched by Pond, where developers can customize tokenized agents for various use cases. Pond aims to make model ownership and creation more accessible by lowering the barriers to entry for crypto-native AI. Pond is building a model layer for developers to collaborate on creating, owning, and monetizing crypto-native AI models, providing model development guidance, tutorials, 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
