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Author: Sam Ruskin, Messari Research Analyst; Compilation: 0xjs@Bitchain Vision
Virtuals is a platform for creating, trading and deploying AI agents, achieving 400% growth in less than a month and is now the largest protocol on Base.Virtuals, once labeled as another memecoin launch platform, has sparked discussions about the importance of agent frameworks and the power of agents to change how we interact on-chain.
The largest Virtual agent aixbt has more than 140,000 followers on X, with a market value of $250 million as of December 16.While high-profile agents such as aixbt and Luna are taking the attention, many other Virtual agents are dealing with a wide variety of and professional use cases.Below, we explore some notable examples.
Source: virtual protocol
1. VaderAI
Type: Productivity
Key Features: VaderAI position itself as a leader in the agile economy by managing AI agent investment DAO.As the first AI to independently trade AI agent tokens, it is responsible for research, strategy simulation and on-chain execution.The upcoming agent token investment DAO will allow human and AI agents to participate, requiring $VADER staking to access.In the long run, VaderAI’s goal is to build a dedicated investment DAO network, each managed by a tailored AI agent.
Related links:VaderAI on Virtuals|X|document
2. Seraph
Type: Information
Key Features: Seraph is an autonomous AI agent built on Bittensor’s decentralized intelligent network designed to provide accurate and verifiable analysis.It uses the Virtuals framework to manage multiple dedicated AI roles that collaborate to cross-reference and validate data, ensuring reliable insights.By leveraging the deep forgery detection model Bittensor Subnet 34 (BitMindAI), Seraph can provide real and verifiable analysis.
Related links:Seraph on Virtuals|X|document
3. PondHub
Type: On-chain
Key Features: PondHub byPondLaunched, is a technology stack that developers can use to tailor tokenized agents for a variety of use cases.Pond aims to make model ownership and creation easier to obtain by lowering the barriers to entry for encrypted AI.Pond is building a model layer for developers to collaborate on creating, owning, and monetizing crypto-native AI models, and provides model development guidance, guidance, and model and data infrastructure.The company recently received a job at ArchetypeA $7.5 million seed round was invested.
