The Rise of AI Agents: Reshaping the On-Chain Economic Landscape

AI Agent: The Rise of Intelligent Agents, Reshaping the On-Chain Economic Underpinnings

The combination of Crypto and AI is showcasing enormous market potential in a whole new way. AI Agents are not only an extension of traditional AI technology but also a super potential track embedded in the on-chain world.

An AI Agent is an intelligent entity capable of executing tasks, making decisions, interacting with other systems, and learning. Compared to traditional AI assistants, an AI Agent can not only understand and handle complex tasks but also operate in a decentralized on-chain environment, achieving autonomous decision-making and value exchange.

These agents are not a single program or script, but rather economies built on autonomy, long-term learning, and environmental adaptability. For example, some AI agents can manage their own funds, make investment decisions, and even autonomously execute smart contracts. They are not limited to completing simple tasks but can also participate in decentralized ecosystems.

The rise of AI Agents stems from the development of blockchain technology and the continuous maturation of artificial intelligence. Blockchain provides a decentralized infrastructure, where the behaviors and transaction records of agents can be verified and traced, ensuring transparency and trust. Advances in AI technology enable agents to possess more complex judgment and execution capabilities, allowing them to operate autonomously like an economic entity.

In the market, AI Agents are highly favored by investors and developers due to their potential. In the combination of cryptocurrency and DeFi, AI Agents can execute smart contracts and automatically analyze market data based on user goals to complete planning and execution. In the future, AI Agents may become "residents" of the virtual world, managing more digital assets.

AI Agent Deep Research (Part 1): Framework, Launchpad, Applications, and Memes

Four Major Categories of AI Agent Tracks

The AI Agent track has developed into various forms, with different projects exhibiting distinct characteristics based on their functions and application scenarios. It is mainly divided into four categories: AI Agent Framework, AI Launchpad, AI Agent Meme Coins, and AI Agent Applications.

AI Agent framework

The AI Agents framework is the infrastructure for building and launching agents, providing developers with convenient tools to build, train, and deploy AI Agents. Representative projects include:

  1. ai16z: The first AI version venture capital fund, proposing the Eliza framework to simulate the decision-making process of renowned investors.
  2. Zerebro: Create and distribute content on social platforms through an autonomous AI system, launching the open-source Python framework ZerePy.
  3. ARC: Developed using the Rust language, the RIG framework supports dApps and smart contracts.
  4. GAME: The core framework of Virtuals ecosystem empowers AI agents for autonomous operation and intelligence.
  5. swarms: A multi-agent AI framework that supports seamless integration with external AI services and APIs.

AI Agent Deep Research (Part 1): Framework, Launchpad, Applications and Meme

AI Agent Launchpad

Launchpad is the platform for issuing AI Agents, where users can easily create AI Agents and associated tokens, seamlessly integrating with social platforms. Representative projects include:

  1. VIRTUAL: Allows the creation of AI agents that can interact with the environment and possess multimodal interaction capabilities.
  2. CLANKER: An AI token generation platform based on the Base blockchain that simplifies the token deployment process.
  3. VVAIFU: Utilizing the Eliza framework of ai16z and the integration of Zerebro, it facilitates the creation of AI agents for social media interaction.

AI Agent Deep Research (Part 1): Framework, Launchpad, Applications, and Meme

AI Agent Meme Coin

AI Agents Meme Coin was born from AI Agents, mainly based on "Meme" culture, with high volatility and speculation. Representative projects include:

  1. GOAT: The first popular AI Agent Meme coin, issued by the "Truth Terminal" AI robot.
  2. Fartcoin: Originating from the "Truth Terminal" AI agent model, it attracts attention through humorous content.
  3. ACT: Aims to create a digital ecosystem for equal interaction between users and AI.
  4. Shoggoth: Inspired by the fictional creature of H.P. Lovecraft, exploring the complexities of the AI era.
  5. WORM: Combines digital biology and blockchain technology to simulate the nervous system of biological worms.

AI Agent Deep Research (Part 1): Framework, Launchpad, Applications, and Meme

AI Agent application

AI Agents applications are directly aimed at users, providing practical services and functions. They mainly focus on areas such as investment, entertainment, and data analysis. The representative project categories are as follows:

DeFAI Class

  1. GRIFFAIN: Solana ecosystem DeFi AI agent, users can train and deploy AI agents to perform specific tasks.
  2. GRIFT: An AI-driven DeFi platform that simplifies multi-chain operations.
  3. NEUR: Integrates LLM and blockchain technology, focusing on token analysis and DeFi interaction.
  4. BUZZ: Provides a natural language interface for easy DeFi trading and management.
  5. Wayfinder: A decentralized AI interaction protocol that allows AI agents to securely navigate the blockchain.
  6. Slate: Focused on automated trading strategy execution.
  7. Cod3x: Create financial strategies without coding.

Investment Analysis

  1. VADER: An investment DAO managed by humans and AI agents.
  2. AIXBT: Utilizing AI engines to extract trending topics and trends, providing market insights.
  3. AIXCB: An AI-driven venture capital project that supports early-stage AI and DeSci projects.
  4. Blormmy: Converts natural language input into specific on-chain operations.
  5. DEGENAI: The AI agent can autonomously think and answer questions on social platforms.
  6. SEKOIA: A venture capital fund focused on AI proxy investment.
  7. Stoic: on-chain venture capital agency project, optimizing investment process.

Game & Metaverse

  1. Hyper: Combining AI and the Metaverse to drive creativity and community engagement.
  2. Colony: The world's first AI agent game, where the intelligent agent acts as the player.
  3. SMOL: A life simulation role-playing game where LLM-driven characters perform tasks.

Security Category

  1. FAI: Players attempt to persuade the AI agent to hand over the cryptocurrency prize pool through dialogue.
  2. JAIL: Encourage the discovery and remediation of AI agent security vulnerabilities.

Video Editing Category

  1. Fatha: Create a collective creation platform through the "Daily Slop" program.
  2. SITCOM: The first degrading sitcom on Solana.

Auxiliary Token Issuance/Development

  1. Intern: Solana on-chain token issuance tool, automated contract execution and management.
  2. ALCH: No-code development platform that uses AI technology to generate applications.

TEE Class

  1. SPORE: Utilizing TEE to ensure the safe operation of AI programs, simulating the process of natural selection.
  2. METAV: The first AI agent autonomously completes token issuance in a TEE environment.

Virtual Anchor Category

  1. LUNA: A TikTok virtual idol created by the AI Agent Virtual Protocol on Base.
  2. ELIZA: An AI agent based on the ElizaOS framework, building a soulful digital assistant.

Others

  1. YNE: An AI-based scientific paper review agent.
  2. BULLY: The meme token launched by the AI agent Dolos.
  3. TAOCAT: The first AI agent Memecoin in the Bittensor ecosystem.
  4. SIMMI: The first AI agent to perform on-chain operations through X.
  5. ANON: Supports Farcaster anonymous posting, providing privacy-protecting social interactions.

AI Agent Deep Research (Part 1): Framework, Launchpad, Applications and Meme

Future Outlook of AI Agent Track

AI Agents are no longer just a technological advancement, but also an ecological one. With the improvement of open-source frameworks and the maturation of collective intelligence, AI Agents will be implemented in more scenarios, especially in the fields of finance, entertainment, and social interaction.

Taking DeFi as an example, the AI Agent can currently manage funds and execute smart contracts autonomously. In the future, the agent may become an autonomous economic entity, possessing funds, decision-making capabilities, and execution capabilities to participate in complex economic activities and achieve economic autonomy.

The AI Agent track is on the eve of an explosion. These agents will play an increasingly important role in the blockchain world, transforming from tools to partners, from individuals to groups, reshaping the underlying logic of the on-chain economy. The future may witness the rise of "one billion agents" becoming indispensable collaborators for humanity.

AI Agent Deep Research (Part 1): Framework, Launchpad, Applications, and Meme

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BlockchainArchaeologistvip
· 11h ago
Is the smart hype coming again? Dinner tonight.
View OriginalReply0
RunWithRugsvip
· 11h ago
Playing with AI is really ahead of its time.
View OriginalReply0
NftMetaversePaintervip
· 11h ago
actually, the algorithmic beauty of ai agents is revolutionizing our computational paradigm... *sips tea*
Reply0
SillyWhalevip
· 11h ago
Is reheating leftovers back again?
View OriginalReply0
BearMarketMonkvip
· 11h ago
The bull run will come again, offering a big fortune.
View OriginalReply0
TokenRationEatervip
· 11h ago
Liquidity Pool Smart Agent? Another new eyewash!
View OriginalReply0
ValidatorVikingvip
· 11h ago
battle-tested nodes only. zero compromise on uptime metrics. been slashing risks since 2018.
Reply0
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