#AIagent sector has been leading the market in the past week, with a market capitalization exceeding $15 billion, becoming the biggest dark horse in the crypto market in 2025. Many still see #AIagent as part of the #Memecoin, but in fact, #AIagent has long since shed its initial meme attributes, combining technology and market in a positive way, and has already or will completely change some of our on-chain transactions. This article will analyze #AIagent from various aspects, including its development, current track classification, future development direction, #Token application scenarios, and how to better profit from #AIagent.

The Concept of #AIagent

The essential feature of #AIagent: can autonomously plan and execute tasks, and work towards predetermined goals without human intervention. The difference from traditional internet robots is: can make dynamic multi-step decisions, can adjust behavior based on interaction, can interact with other agents, protocols, and external applications.

In simple terms, the #AI we use now is only for specific tasks, operates according to predefined rules, and provides a fixed response set, usually pre-programmed fixed output, without the ability to learn and improve, and can usually only generate text-based responses, generally unable to collaborate with external interfaces/other robots.

While #AIagent can make dynamic multi-step decisions and adjust based on feedback and interaction, can self-learn, think, and then achieve independent operation goals, of course, the corresponding application scenarios are numerous, and can interact with other agents, APIs, and applications.

The Development History of #AIagent

The First Generation of #AIagent

The concept of #AIagent did not emerge in 2025, but began to germinate at the end of 2023 and gave birth to #Autonolas and #Bittensor in early 2024.

Taking #Autonolas (OLAS) as an example, #Autonolas is a platform that supports the creation and management of autonomous agent services. These services are called agent services and run independently off-chain as a multi-agent system (MAS), collaborating to achieve common goals. #Autonolas enables developers to build and deploy autonomous agents that collaborate seamlessly off-chain while leveraging blockchain technology to enhance on-chain functionality. And there are also some mature agents on #Autonolas, but obviously, whether from the market heat or the flow of funds, the first generation of #AIagent projects did not reap much from this wave of #AIagent, and even the market value did not increase but decreased, which is also the current destination of most of the popular #AIagent projects.

The Evolution of #AIagent (Second Wave) and the Superimposed Effect of #Meme, Gaining Community Attention

In June 2024, Andy trained a Llama-70B #AI model based on the chat logs of #InfiniteBackrooms, his research papers, and content from 4Chan and Reddit. This model was named #TerminalofTruths (ToT). On October 10, 2024, an anonymous developer released the $GOAT token on the Solana meme coin launchpad pump.fun.

This is the first #Meme coin related to #AI that is marketed by an autonomous #AIagent. Within the following month, #Goat, with the backing of capital, broke through a market value of $1 billion. At the same time, #VirtualsProtocol, a platform that allows users to create, deploy and monetize #AIagents, launched its first entertainment-oriented #AIagent - #Luna, taking the first step towards a $10 billion market value. The attention of the community and the push of capital instantly ignited the fire. Compared to the first-generation #AIagent projects, this period's #AIagent is more closely connected with the community, starting from #Meme, allowing users to understand #AIagent with a lower threshold.

Framework + Launchpad, Making the Story of #AIagent Richer (Third Wave?) Achieving a $100 Billion Market Value

The success of #VirtualProtocol, from launching the first agent-#Luna in early October, the platform token #Virtual's market value has risen from $50 million to nearly $5 billion, a hundredfold increase, as well as the continuously increasing number of agents, have caused the #Launchpad and #AIagent platform to enter a state of rapid growth, officially opening the door to a $100 billion market value for #AIagent. Although the current heat and market value of #AIagent are declining, with the vigorous development of the applications of #AIagent combined with #DeFi, social, and consumption, there is still a very good opportunity to reach a trillion-dollar market value (not an investment opinion).

Classification of #AIagent Tracks

1. #AIagent Framework (Representative Projects)

Introduction and Development History of Leading Projects

#ai16z/#eliza/#degenai

https://x.com/ai16zdao

#ai16z current market value $1.7 billion

#eliza current market value $70 million

#degenai current market value $50 million

Founder @shawmakesmagic, track record: the uppercase #eliza incident, recklessly spraying #Swarms, directly triggering the community's reactionary psychology, and also crashing #prism.

#ai16z is supported by two tokens, one is the governance token $#ai16z, and the other is the token $#DegenAI of the #AIagent called Degen Spartan #AI. $#ai16z holders can initiate proposals to buy certain tokens, and all holders vote together. If the proposal is passed, the #AIagent will automatically purchase the token in the wallet.

#ELIZA is an open-source framework for on-chain #AIagents built by #ai16z and its developer community. Developers can use #ELIZA to quickly customize #AIagents with various styles and functions, such as accessing wallets of different chains, conversing on Twitter and Discord.

#Virtual/#Game

@#virtuals_io

@#GAME_Virtuals

#Virtuals is an #AIagent Launchpad platform, similar to #pump.fun. The platform has an internal and external market. When the token purchase volume in the internal market reaches 42,420 #VIRTUAL tokens, the #AIagent token will be transferred to the external market, and the liquidity in the internal market will be injected into #Uniswap, and the tokens purchased by users will also be automatically transferred to the external market tokens and deposited in the wallet. Creating an #AIagent token requires 100 #VIRTUAL tokens (previously 10), and a 1% fee is charged for both buying and selling.

#GAME is a framework developed by the #Virtuals team that makes the development and deployment of #AIagents as simple as building a WordPress website. Through the #VirtualsProtocol, developers not only can quickly build and deploy agents, but also can achieve tokenization through IAO (Initial Agent Offering), paving the way for the future social and gaming ecosystem in a decentralized manner.

#GAME is now fully open, and developers can seamlessly integrate #AIagents into various third-party applications and virtual worlds using its SDK. At the same time, community members can also improve the codebase by submitting functional PRs, optimize the framework, and share resources to drive the continuous development of the ecosystem. Whether the agents are already completed or still in the pre-release stage, they can be easily configured and flexibly applied on the #Virtuals platform.

#Swarms

@#swarms_corp

Current market value $300 million

@KyeGomezB is hailed as the "child prodigy" in the field of #AI, at the young age of 20, he has shown astonishing hardcore strength. But he was #FUD'd by shaw as a habitual plagiarist.

The core function of #Swarms is to allow multiple #AIagents to collaborate like a team, using collective intelligence to solve complex problems. It not only supports seamless integration with external #AI services and APIs to expand functionality, but also provides almost unlimited long-term memory for agents to enhance contextual understanding, while allowing customized workflows. For enterprise-level needs, #Swarms has a high degree of reliability and scalability, and ensures optimal performance by automatically optimizing language model parameters. In this way, #Swarms can leverage the collective intelligence of agents to more easily tackle complex challenges than individual agents.

Compared to other "solo" agents, #Swarms places more emphasis on "collaboration between multiple agents" and modularizes this collaboration.

#ARC

https://x.com/arcdotfun

Current market value $360 million

#ARC created the open-source framework #Rig, using the Rust language to build portable, modular, and lightweight #AIagents. In theory, #Swarms can integrate #ARC, and #ARC can optimize #ELIZA. All three frameworks have the idea of modular design, but so far, the feasibility and expansion space of such frameworks are still in the early stage.

2. #AIagent Launchpad (Representative Projects)

#AlchemistAI

@#alchemistAIapp

Token: #ALCH

Market value $120 million

#ALCH is a no-code, "beginner-friendly" #AIagent Launchpad platform. Users only need to provide a simple description to create software applications, and the platform allows users to create complex applications, including games, social platforms, etc., through simple drag-and-drop operations.

#Virtual

@#virtuals_io

Market value: $3.2 billion

Virtuals is the flagship project of the current AI Agent Launchpad platform, similar to pump.fun. The platform has an internal and external order book. When the purchase volume of tokens in the internal order book reaches 42,420 VIRTUAL, the AI agent tokens will be transferred to the external order book, and the liquidity in the internal order book will be injected into Uniswap, and the tokens purchased by users will also be automatically transferred to the external order book tokens and deposited into their wallets. Creating an AI agent token requires 100 VIRTUAL (previously 10), and a 1% fee is charged for both buying and selling.

Clanker

Market cap: $66 million

Clanker is an AI Agent Launchpad platform based on Farcaster, with a peak market value of over $140 million, but its subsequent development has not kept up. It aims to simplify the token issuance process, and the first project issued on Clanker is CLANKER. Users can view the deployment quantity of tokens or create their own tokens on the clanker.world official website. Through Clanker, users can deploy Meme tokens to the single-sided liquidity pool (LP) on Base, and the liquidity is immediately locked. Token issuers can receive 0.25% of the fees from all Swap transactions and 1% of the total supply of tokens (with a one-month unlocking period).

agents.land

@agentsdotland

Market cap: $130 million

The Oraichain team has launched a Bitcoin maximalist AI Agent named MAX, whose virtual image is a black-haired girl with a BTC logo on her arm. MAX is classified as an AI Agent Launchpad concept project because the Oraichain team will provide benefits such as whitelisting to MAX holders through the AI Agent Launchpad platform agents.land.

3. Applications and Derivative Directions of AI Agents

Entertainmentization

@luna_virtuals

Market cap: $70 million

luna (the first entertainment-oriented AI agent, based on Virtual and connected to the real world)

Trading

DeFAI is "AI+DeFi", using AI to simplify the complex DeFi operation threshold, allowing more people to participate in DeFi in a simpler way, and managing assets using DeFi services is as convenient as chatting with GPT.

BUZZ

@askthehive_ai

Market cap: $80 million

Hive aims to simplify DeFi transactions through composable on-chain AI agents, providing an integrated trading terminal where agents can autonomously complete on-chain operations based on natural language commands. Hive has previously announced a collaboration with Zerebro to build cluster communication infrastructure to enhance the DeFi agent suite, and Hive already supports Apple Pay and Google Pay.

Hive founder Jason Hedman has won multiple AI hackathon championships, including first place in the Microsoft Productionized AI Hackathon, and has also participated in the Solana chain AI hackathon.

$NEUR

@neur_sh

Market cap: $47 million

Binance Alpha recently launched Neur, which allows users to interact with leading Solana native protocols using natural language. The protocol is fully open-source and community-driven, and the team is constantly launching bounty programs to encourage developer contributions, with the product still in beta.

You can also follow projects in areas such as data, like the platform token COOKIE on cookie.fun, AI computing, and the connection between AI agents and the real world, including but not limited to social, gaming, entertainment, and projects that ensure the security of AI agents.

Token Application Scenarios of AI Agents

The token application scenarios of AI Agents are mainly concentrated in two directions: governance and platform functions. For most AI Agent projects, the primary role of the token is as a governance tool, allowing token holders to participate in platform decision-making and development, such as proposing, voting, and adjusting protocol parameters. For AI Agent Launchpad platforms, the platform token is mainly used to pay the fees for creating and launching AI Agents, as well as transaction fees.

The essence of AI Agents is to drive the application and ecosystem development of AI technology based on the incentive mechanism of cryptocurrencies. Therefore, when choosing tokens, investors should focus more on the value of the underlying infrastructure. In other words, the value of the token should not only be reflected in its market price fluctuations, but more importantly, its role in the AI Agent ecosystem, especially how it helps the platform improve its infrastructure, enhance functionality, and expand application scenarios.

If you are still optimistic about AI agents, how can you invest in AI agents more profitably?

From the perspective of ecosystem plasticity, the industry narrative opportunities brought by AI Agents are much greater than those of DeFi. If you are still optimistic about the AI agent track, here are some things you can do now:

(1) Look for value projects (anti-cyclical projects) in the downturn market

The uncertainty and volatility of the market means that the tokens of many AI Agent projects may experience significant price fluctuations. In a downward market, investors can look for projects with solid fundamentals and strong anti-cyclical capabilities. Anti-cyclical projects usually have a solid technical foundation, a strong development team, and a clear development plan. For example, projects with innovative technology frameworks or those actively expanding their ecosystems are often able to maintain a relatively high market position even in a downturn. Therefore, investors should focus on projects that can maintain active development even in a market downturn, as these projects may rebound quickly when the market recovers.

(2) Find the "pick-and-shovel" in the upward trend

When the market enters an upward trend, investors need to find AI Agent projects with great growth potential. "Pick-and-shovel" refers to those AI Agent projects that have an industry-leading position or are attracting capital attention. These projects usually have strong community support, a continuously growing user base, and the potential to collaborate with other blockchains and AI fields. For example, platforms like Virtuals Protocol and Swarms have successfully attracted a large number of developers and users, and their platform tokens and AI Agent applications within the ecosystem may achieve above-expected appreciation in a market upswing.

(3) Focus on AI Agent infrastructure construction and find the right sub-track

As a new track, the construction of AI Agent infrastructure is still in the early stage. Developers and platforms need a strong infrastructure to support diverse AI Agent applications. If you want to take a long-term position in the AI Agent field, you can focus on investing in projects dedicated to infrastructure construction, such as AI Agent frameworks and protocols, which are the core of the AI Agent ecosystem's ability to expand. Investors can pay attention to teams developing on-chain wallets and smart contracts, or platforms that can provide cross-chain interoperability and decentralized services.

In addition, the integration of AI Agents with traditional Web3 and DeFi is gradually deepening, which gives some AI Agent projects broader application scenarios. For example, in the field of decentralized finance (DeFi), the application of AI Agents can simplify complex trading operations and lower the usage threshold. In the future, as the application scenarios of AI Agents continue to expand, these infrastructures will become an important support for industry development.

(4) Flexibly adjust investment strategies, take profits and cut losses

The AI Agent track is currently in a stage of rapid development, with market hotspots and liquidity changing rapidly. Investors must make timely decisions to take profits and cut losses. Some projects may experience a sharp decline in market heat due to technical issues or changes in market demand, while others may grow rapidly in the short term and become the next "dark horse".

Taking profits and cutting losses is not only a strategy to deal with market fluctuations, but also reflects the investor's accurate grasp of the market rhythm and rational evaluation of the project. In the investment process, investors should periodically evaluate the progress of the project and market feedback, and adjust the investment portfolio in a timely manner to avoid missing opportunities or falling into risks due to blind holding.

Although AI Agents still face certain challenges in the market, the industry narrative opportunities they bring are clearly far beyond those of other fields such as DeFi. AI Agents not only have the potential to change the application of cryptocurrencies, but may also bring revolutionary changes in social, gaming, entertainment, finance, and other fields.

In any case, I believe the AI agent is not over yet!