AI Agent Track Depth Analysis: Framework, Launchpad, Applications and Tokens

1. Overview of AI Agent: The Rise of Intelligent Agents

An AI Agent is an intelligent entity capable of autonomously executing tasks, making decisions, and interacting with other systems. They can not only handle complex tasks but also operate in decentralized environments, achieving autonomous decision-making and value exchange. These agents are built on autonomy, long-term learning, and environmental adaptability, enabling them to manage funds, make investment decisions, and even execute smart contracts.

The rise of AI Agents is rooted in the development of blockchain technology and the maturity of artificial intelligence. Blockchain provides a decentralized infrastructure that ensures the transparency and credibility of agent behavior. Advances in AI technology endow these agents with more complex judgment and execution capabilities.

In the market, the potential of AI Agents has attracted numerous investors and developers. For example, in the fields of cryptocurrency and decentralized finance, AI Agents can automatically analyze market data through smart contracts, carrying out trading plans and executions. In the future, they may become "residents" of the virtual world, creating and managing more digital assets.

2. The Four Categories of AI Agent Tracks

2.1 AI Agent Framework

The AI Agent framework provides developers with tools to build, train, and deploy agents. Representative projects include:

• ai16z: An AI venture capital fund that simulates the decision-making process of well-known investors.
• Zerebro: An autonomous AI system for creating and distributing social content.
• ARC: A RIG framework developed based on Rust, supporting decentralized applications and smart contracts.
• GAME: An ecological framework for games that empowers AI agents to operate autonomously.
• Swarms: A framework that supports the creation and management of multiple AI agents.

2.2 AI Agent Launchpad

The AI Agent Launchpad allows users to easily create agents and their associated tokens, and integrate with social platforms. Representative projects include:

• VIRTUAL: Supports the creation of multi-modal AI agents that can run across platforms.
• CLANKER: AI Token Generation Platform based on Base Chain
• VVAIFU: Create AI agents that can interact with social media using the ai16z framework.

2.3 AI Agent related Token

This type of project usually involves tokens derived from the concept of AI Agent, characterized by high volatility and speculation. Representative projects include:

• GOAT: The first popular AI Agent-related Token
• Fartcoin: A humorous token derived from AI model conversations.
• ACT: Aims to create an ecosystem where users can interact equally with AI.
• Shoggoth: A project exploring the complexities of the AI era.
• WORM: A unique asset that combines digital biology and blockchain.

2.4 AI Agent Application

These projects provide services directly to users, mainly focusing on areas such as investment, entertainment, and data analysis. Representative projects are divided into the following categories:

DeFi type:

• GRIFFAIN: DeFi AI agent in the Solana ecosystem
• GRIFT: AI-driven multi-chain DeFi platform
• NEUR: Integrating large language models with blockchain technology
• BUZZ: A DeFi interaction project that provides a natural language interface.
• Wayfinder: Decentralized AI Interaction Protocol
• Slate: Focused on automated trading strategy execution
• Cod3x: No-code financial strategy creation platform

Investment Analysis:

• VADER: An investment DAO managed jointly by humans and AI
• AIXBT: An AI agent providing real-time market insights.
• AIXCB: Venture capital supporting early AI and DeSci projects.
• Blormmy: A tool for converting natural language into blockchain operations.
• DEGENAI: An AI agent that can autonomously answer questions on social media platforms.
• SEKOIA: A hedge fund focused on AI-driven investment.
• Stoic: On-chain venture capital agency project

Games and Metaverse:

• HYPER: An open experience platform that combines AI and the metaverse
• Colony: The first AI agent game
• SMOL: A life simulation game powered by LLM

Security:

• FAI: A project exploring trust mechanisms for AI agents
• JAIL: A platform for discovering and fixing AI agent security vulnerabilities.

Video Editing:

• Fatha: A collective creation and entertainment platform powered by AI
• SITCOM: AI-driven sitcom on Solana

Assistance for coin issuance/development:

• Intern: AI-assisted Token issuance tool on Solana chain
• ALCH: No-code development platform utilizing AI technology

TEE Type:

• SPORE: Utilizing trusted execution environments to ensure the secure operation of AI programs
• METAV: The first Token issuance autonomously completed by AI in a TEE environment.

Virtual Anchor Category:

• LUNA: The first AI agent virtual idol employed on the Base chain.
• ELIZA: AI agent avatar based on the ElizaOS framework

Other applications:

• YNE: AI-based scientific paper review agent
• BULLY: A satirical style token launched by AI agents
• TAOCAT: The first AI agent token in the Bittensor ecosystem
• SIMMI: AI agent for on-chain operations via social media
• ANON: AI agent supporting anonymous social interactions

3. Future Outlook for AI Agent Track

The AI Agent track is on the verge of an explosion. With the improvement of open-source frameworks and the maturity of collective intelligence, agents will achieve broader applications in finance, entertainment, social networking, and other fields. In the future, AI Agents may become autonomous economic entities, possessing independent fund management, decision-making, and execution capabilities, participating in complex economic activities through smart contracts, and even achieving economic autonomy.

The development of this track is not only a technological advancement but also represents the evolution of the entire ecosystem. AI Agents will reshape the underlying logic of on-chain economics, becoming indispensable collaborators for humanity. The future may witness the rise of "one billion intelligent agents," far exceeding the scale of human user participation.