When Bitcoin was falling and altcoins were surging, Meme coins on the first-tier chain temporarily became the market's 'safe haven.' Although some already listed large-cap Meme coins would continue to decline under market influence, for those emerging hot assets (or perhaps more accurately, fast-track assets), despite the panic in market sentiment, they could only lead to minor fluctuations at most.
Last Friday, the enterprise-level multi-agent collaboration framework Swarms announced on Twitter its 'claim' of the token swarms issued through Pump.Fun. The term 'claim' is used because this token was not issued on the official announcement day, but had gone live two days earlier. At that time, due to the lack of official endorsement, swarms may have been perceived by the market as an ordinary 'scam,' with its market cap dropping to a mere 6000 dollars.
With the successful precedent of $arc, $swarms naturally attracted market attention. Its framework narrative seemed to don a "yellow robe," prompting the market to buy in without hesitation. On that 'Black Friday' when altcoins plummeted across the board, $swarms only consolidated its price during the most panic-stricken hours in the market, then directly broke through a market cap of 70 million dollars.
By consulting relevant information from the Swarms official website and technical documentation, we gained a basic understanding of the Swarms framework.
Note: The price fluctuations of Meme tokens are very volatile and have extremely high risks. Investors should fully assess risks and participate cautiously. This article is merely a compilation and sharing of information based on market trends, and the author and platform do not guarantee the completeness and accuracy of the article's content, nor do they provide any investment advice.
Is it the technical faction stepping in again?
In addition to the token address publicly disclosed on the Swarms official homepage, Swarms framework developer @KyeGomezB continued to discuss related information about the token that day.
According to Kye Gomes' GitHub page, the Swarms framework has already received over 2000 stars (while $arc's rig framework currently has only 1300 stars).
With certification on GitHub, it can at least be confirmed that the technical foundation of the $swarms token is indeed strong, and its hardcore technical identity has been solidified.
Enterprise-level Multi-Agent Collaboration Framework
The Swarms framework was not initially designed specifically for Web3; its core goal is just like the literal meaning of 'swarm'—to establish an enterprise-level multi-agent collaboration platform. It is not merely a simple AI development tool, but a complete solution specifically designed to tackle the challenges enterprises face when applying AI to actual business.
In practical applications, Swarms provides a complete toolchain to help enterprises easily build and manage collaboration among multiple AI agents. These agents may be different language models, professional tools, or custom intelligent agents, and under the scheduling of the Swarms framework, they can work seamlessly together to complete complex tasks.
From a technical architecture perspective, the Swarms framework includes several core modules:
1. Task Scheduling System: Breaks down complex tasks and allocates them to the most suitable AI agents.
2. Agent Management Module: Manages the lifecycle and state of each AI agent.
3. Communication Middleware: Ensures accurate and efficient information transmission between agents.
4. Monitoring and Logging System: Real-time monitoring of the system's operational status.
At the enterprise application level, Swarms offers:
1. High Availability Assurance: Automatic fault tolerance and recovery mechanisms.
2. Complete Monitoring System: Real-time tracking of AI agents' performance and status.
3. Flexible Scalability: Easily add new AI capabilities and business logic.
4. Security: Comprehensive permission management and data protection mechanisms.
To understand how Swarms operates, it can be likened to a symphony orchestra:
Imagine a large orchestra performing a symphony. Traditional AI solutions are like an all-round musician trying to play all instruments at once. In contrast, Swarms allows each musician (AI agent) to focus on their area of expertise, harmonizing under the conductor's (Swarms framework) scheduling. The sheet music represents the task flow of the entire system, while rehearsals are the continuous optimization of the system.
For example, in an e-commerce scenario, when a user needs personalized shopping recommendations, the system will automatically dispatch multiple specialized agents. The user profiling analysis agent analyzes user needs, the product recommendation agent selects suitable products based on the needs, the review analysis agent organizes user feedback, and finally, the dialogue assistant agent integrates this information into concise recommendations. These agents are responsible for different tasks but can collaborate efficiently to ultimately provide precise services to the user.
Differences with other projects in the same track
The distinctions between Swarms and other AI framework projects (like $ai16z&$ELIZA and $arc) have also attracted market attention. Although the price performance of these projects reflects market recognition of the underlying architecture, is there competition among them, or can they complement each other in collaboration?
A Twitter user @tmel0211 summarized the relationship between the three: from ELIZA to RIG (ARC), then to Swarms, the evolution logic of the framework is reasonable. ELIZA focuses on lightweight deployment and quickly creating AI agents; ARC enhances AI system resource optimization and performance through the Rust language; while Swarms focuses on multi-agent collaboration, task decomposition, and coordination, supporting flexible serial and parallel task processing.
In theory, Swarms can integrate with ARC, while ARC can optimize ELIZA. All three have modular designs, and their technical visions are very ambitious. However, it is still too early to judge the advantages and disadvantages of these frameworks; we should observe their actual implementation. Technology can be an ideal in the air, but ultimately, the interactive experience of application is the key to success or failure.
Founder's doubts, price fluctuations
Although the market initially recognized the narrative of Swarms, things have not gone smoothly.
When the Swarms token first exploded, the founder of $ai16z, Shaw, publicly criticized the developer of the Swarms framework, Kye, on Twitter, stating: "I don't like to openly point out others' problems, but some people steal others' achievements and try to take credit for them." Shaw cited a Reddit post from 2023, claiming that the GitHub repository mentioned in it might involve plagiarism, and this repository is owned by Swarms developer Kye.
Shaw's FUD almost halved the price of $swarms. However, faced with this attack, Swarms' founder Kye did not choose silence but instead fought back on Twitter and launched a new application based on the Swarms framework—the token $MCS of Medicalswarm. Through this new project, Kye attempts to prove that his framework is not just talk but has real value, indeed 'has something in it,' and has the capability to support real application deployment.
Perhaps Kye is not yet familiar enough with the AI Meme gameplay. Although the consensus for $swarms has not stabilized and the coin price is still in a downward trend, his launch of a new coin at this time has caused a lot of misunderstanding among players. Many people saw the launch of $mcs and mistakenly thought that the $swarms development team had abandoned the project, believing that $swarms was no longer worth following or investing in. As a result, the launch of $mcs did not save $swarms as expected, but instead worsened the situation. The market cap of $swarms dropped from a peak of 74 million dollars to just 6 million dollars, while the new coin $mcs also plummeted during this wave of sell-off.
However, inexperienced Kye quickly realized that his handling method might have some issues. After seeing the market's reaction, he urgently started a live stream and publicly announced that he would still seriously invest energy into building the project, and during the live stream, he locked up the $swarms tokens he held for a year. Perhaps he genuinely wanted to prove himself in this way, or someone gave him some advice to operate and gather chips during this time of unstable consensus. Regardless, this operation clearly helped wash away many early players, and as the market calmed down and reassessed, investors began to buy back $swarms, and its market cap gradually rebounded, stabilizing at around 30 million dollars.
Summary
As of the time of writing, the price trend of $swarms has gradually stabilized, with a market cap still maintaining around 40 million dollars.
$swarms' situation is somewhat similar to $arc. As a token with a technical background, its price rapidly surged as market attention gradually built up, with its market cap soaring at one point. However, as profit-takers gradually exited, the market's understanding of the project deepened, and community consensus took time to consolidate. Such projects often experience significant volatility in the early stages.
As for whether this project is indeed as the founder said, 'has something in it,' the market will ultimately provide its own answer.
