Against the market trend, fast pass + violent wash, will $swarms be the next $arc?
Written by: Xiaobai Navigation Coderworld
When Bitcoin fell and altcoins were all in the red, the memes on the primary chain market have temporarily become the market's "safe haven". Although some high-market-cap memes that have been listed on the exchange are inevitably affected by the market and continue to fall, for new hot assets (or more appropriately called fast-passing assets), the panic market sentiment can only cause some superficial injuries at most.
Last Friday, an enterprise-level multi-agent collaboration framework Swarms Announced on Twitter that he had “claimed” theToken $swarms. The reason why it is “claimed” is that $swarms was not issued on the day of the official announcement, but existed two days earlier. At that time, $swarms, which had no official endorsement, might have been regarded as an ordinary “scam” by the market, and its market value was once at a low point of $6,000, which no one cared about.
With the example of $arc, the framework narrative of $swarms made the market pay for it without hesitation. On "Black Friday" when the altcoins plummeted, $swarms only went sideways for a few hours during the most panicky hours in the market, and then directly broke through the market value of 70 million US dollars.
Through the comprehensive SwarmsOfficial websiteandTechnical DocumentationWith the relevant information provided, we have a preliminary understanding of what the Swarms framework does.
注：Meme 代币价格波动剧烈，存在高度风险，投资者应充分评估风险，谨慎参与。本文仅根据市场热点进行信息搬运分享，作者及平台对文章内容的完整性、准确性不做任何担保，同时本文无任何投资建议。
Another technical entry?
除了 Swarms 官网首页上的明牌代币地址，Swarms 框架的开发者 @KyeGomezB Discussions about tokens also continued on the same day.
According to Kye Gomes Github homepageIt shows that the Swarms framework has received more than 2000 stars ($arc's rig framework currently has 1300 stars).
With the Github certification, at least the hard-core technical identity of the $swarms token is confirmed.
Enterprise-level multi-agent collaboration framework
The Swarms framework was not originally a Crypto Native framework specifically for Web3. Its core positioning is just as the original meaning of the word "Swarms" - a swarm, an enterprise-level multi-agent collaboration framework. AI 开发工具，而是一套完整的解决方案，专注于解决企业在 AI 落地过程中面临的实际问题。
在实际应用中，Swarms 提供了一套完整的工具链，使企业能够轻松构建和管理多个 AI 代理之间的协作。这些 AI 代理可以是不同的语言模型、专业工具或自定义的智能体，它们在 Swarms 的调度下能够无缝配合，完成复杂的业务任务。
From the perspective of technical architecture, the Swarms framework includes the following core components:
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Task scheduling system: responsible for decomposing complex tasks and assigning them to appropriate AI agents
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Agent management module: manages the life cycle and status of each AI agent
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Communication middleware: ensures accurate and efficient information transmission between agents
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Monitoring and logging system: real-time tracking of the operating status of the entire system
At the enterprise application level, Swarms provides:
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High availability guarantee: automatic fault tolerance and recovery mechanism
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Complete monitoring system: real-time tracking of AI agent performance and status
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Flexible scalability: easily add new AI capabilities and business logic
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SafetySecurity considerations: perfect rights management and data protection mechanism
To understand how Swarms works, we can use the analogy of a symphony orchestra:
Imagine a large orchestra playing a symphony. Traditional AI solutions are like an all-round player, trying to play all instruments at the same time. Swarms, on the other hand, allows each "musician" (AI agent) to focus on his or her own expertise and perform in coordination under the coordination of the "conductor" (Swarms framework). The score is the standardized task flow of the entire system, and rehearsal is the continuous optimization process of the system.
For example, in an e-commerce scenario, when a user needs personalized shopping recommendations, the system will automatically coordinate multiple professional agents. The user portrait analysis agent will deeply understand the user's needs, the product recommendation agent will select the most suitable products based on this, the evaluation analysis agent will be responsible for sorting out user feedback, and finally the dialogue assistant agent will integrate this information into friendly suggestions and present them to the user. These agents perform their respective duties and can work together seamlessly to ultimately provide users with accurate services.
What is the difference between it and other projects in the same track?
As a company in the AI framework trackXiaobai NavigationThe prices of the products, whether $ai16z&$ELIZA with ELIZA frame or $arc based on rig frame, show the market's recognition of the concept of underlying facilities.
So is the Swarms framework in competition with the other two projects? Or can they collaborate with each other by leveraging their strengths?
Twitter User @tmel0211 The possible connections between the three frameworks are summarized as follows:
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There is no problem with the standard and framework evolution logic from ELIZA to RIG (ARC), and then to Swarms. ELIZA focuses on lightweight and fast deployment to create AI Agents, ARC hopes to use the Rust language to improve the resource optimization and performance of the AI Agent system at work. Swarms aims to build a complex task decomposition and coordination framework for multi-AI Agent collaboration. Its multi-agent hybrid orchestration mechanism, flexible combination of serial and parallel mechanisms, and multi-level memory processing architecture make a lot of sense just by looking at the necessity and development direction of its technical evolution logic.
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Theoretically, Swarms can integrate ARC, and ARC can optimize ELIZA. All three frameworks have the idea of modular design, and their technical vision is getting more and more ambitious. This may be a hidden concern of being too "conceptualized". It is still the same point of view that the current standard framework is far from being judged. We should observe the improvement of the framework code base and the landing of the single AI application based on its framework. If we are not sure about the pros and cons of the early technology, we should focus on the landing application; technology can float in the air, but the application interaction experience will definitely fall to the ground.
Obviously, whether it is ELIZA, RIG or Swarms, its feasibility and expansion space are still in the early stages. Different language frameworks focus on solving different problems in the process of large-scale adoption of AI, and "mutual collaboration" is also an unavoidable theme among various frameworks in the future.
The founder was questioned, and the price of the currency fluctuated
Although the market recognized the $swarms narrative at the beginning, things did not always go smoothly.
On the day when $swarms token became popular, Shaw, the founder of $ai16z @shawmakesmagic Publicly dissed the developer of the Swarms framework on Twitter @KyeGomezB, saying "I really don't like to publicly point out other people's problems. Doing so is a huge risk for our project, it will make a lot of people nervous, and I don't want to discourage developers who are working hard. But some people willstealTaking the work of others and trying to take credit for it.” He cited a 23-year-old Reddit PostTo prove Kye's plagiarism. The article points out that a Github repo may have traces of plagiarizing others' work, and the repo belongs to Swarms developer Kye.
Shaw's fud also caused the price of $swarms to be nearly halved. However, facing this fud, Swarms founder Kye was not convinced. He responded on Twitter and released an application based on the Swarms framework. Medicalswarm The new token $mcs intends to prove that its framework is not useless, but really "something".
It may be that Kye is not familiar with the gameplay of AI Meme. When the consensus of $swarms is not yet solid and the price of the coin is still on a downward trend, the operation of issuing new coins was directly regarded by many players who did not know the reason as $swarms Dev did not want this plate anymore and $swarms was not worth playing. Therefore, the launch of $mcs did not save $swarms at the beginning. Instead, it made $swarms fall deeper. The market value fell from a high of 74 million US dollars to 6 million US dollars, and the new coin $mcs plummeted together.
However, Kye, who is still inexperienced, saw this and realized that his way of handling things might be wrong. He then urgently started a live broadcast to announce that he really wanted to build it seriously, and live broadcasted that he would lock up his $swarms tokens for one year. Maybe the founder really wanted to prove himself in the face of various fuds, or maybe there was an expert behind him who took advantage of the unstable consensus to make such an operation to collect chips. In short, this wave of three washes and three exposures did wash away many early players, and the market that came to its senses also bought back $swarms, and the market value gradually recovered and stabilized at around 30 million US dollars.
summary
As of writing, the price trend of $swarm has gradually calmed down, and its market value is still around 40 million.
$swarms’ “speed pass script” is somewhat similar to $arc. As a token with a technical background, the market bought it crazily after fermentation, and the market value of tens of millions of yuan was quickly passed.CommunityIt takes some time to reach consensus, and such currencies are bound to fluctuate in the early stages.
Whether this project is really as valuable as the founder has proven, the market will make a corresponding choice.
The article comes from the Internet:Against the market trend, fast pass + violent wash, will $swarms be the next $arc?
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