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Messari: Overview of Virtual Ecosystem and Introduction to Three Virtual Agents
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2024-12-18 20:02 6,097

Messari: Overview of Virtual Ecosystem and Introduction to Three Virtual Agents

Author: Sam Ruskin, Messari Research Analyst; Compiler: 0xjs@金财经

Virtuals is a platform for creating, trading and deploying AI agents in less than a month Achieving 400% growth, it is now the largest protocol on Base. Once labeled as another memecoin launchpad, Virtuals 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 more than 140,000 fans on X, and as of December 16, its market value reached US$250 million. While high-profile agents such as aixbt and Luna dominate the attention, many other virtual agents are addressing a wide variety of and specialized use cases. Below, we explore some noteworthy examples.

Source: virtual protocol

1. VaderAI

Type: Productivity

Main features : VaderAI is positioning itself as a leader in the agent economy by investing in DAOs to manage AI agents. 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 human and AI agents to participate, requiring $VADER to be staked for access. In the long term, VaderAI aims to build a network of dedicated investment DAOs, each managed by a tailor-made AI agent.

Related links: VaderAI on Virtuals | Autonomous AI agents built 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 to ensure reliable insights. By leveraging the deepfake detection model Bittensor Subnet 34 (BitMindAI), Seraph can provide realistic and verifiable analysis.

Related links: Seraph on Virtuals | , which developers can use to tailor tokenized agents for a variety of use cases. Pond aims to enable modeling by lowering the barrier to entry for cryptographic AI.Type ownership and creation are easier to obtain. Pond is building a model layer for developers to collaboratively create, own, and monetize crypto-native AI models, and provides model development guidance, guidance, and model and data infrastructure. The company recently closed a $7.5 million seed round led by Archetype.

Related links: PondHub on Virtual |X|Documentation

Keywords: Bitcoin
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