Swarms：科技人群的另一个入口？

随着比特币下跌、山寨币翻红，一线链上的梗暂时成为市场的“避风港”。

Bitcoin's decline and the overall red altcoin market have caused first-tier chain memes to temporarily become the "safe haven" of the market. Although some high-market-cap memes listed on exchanges are inevitably affected by the overall market and continue to decline, for new popular assets (or more appropriately called "fast-track assets"), the panic in the market can at most cause some superficial injuries.

比特币的下跌以及山寨币市场整体的红色，让一线链迷暂时成为了市场的“避风港”。虽然一些在交易所上市的高市值表情包不可避免地会受到整体市场的影响而持续下跌，但对于新的热门资产（或者更恰当地称为“快车道资产”）来说，市场的恐慌最多只能造成一些浅表损伤。

Last Friday, the enterprise-level multi-agent collaboration framework Swarms announced on Twitter that it was "claiming" the token $swarms issued through Pump.Fun. It is termed "claiming" because $swarms did not launch on the day of the official announcement but had already existed two days earlier. Without official endorsement, $swarms might have been regarded by the market as an ordinary "scam," with its market cap once languishing at a low of $6,000.

上周五，企业级多智能体协作框架 Swarms 在 Twitter 上宣布，它正在“认领”通过 Pump.Fun 发行的代币 $swarms。之所以称为“声明”，是因为 $swarms 并未在官方宣布当天启动，而是在两天前就已经存在。如果没有官方背书，$swarms可能会被市场视为一个普通的“骗局”，其市值一度徘徊在6000美元的低位。

With the success of $arc as a precedent, the narrative framework of $swarms led the market to buy in without hesitation. On the "Black Friday" when altcoins plummeted, $swarms merely consolidated sideways during the most panicked hours of the market, before directly breaking through a market cap of $70 million.

以$arc的成功为先例，$swarms的叙事框架引领市场毫不犹豫地买入。在山寨币暴跌的“黑色星期五”，美元蜂拥而至，只是在市场最恐慌的时段横盘整理，然后直接突破了 7000 万美元的市值。

By synthesizing information provided by Swarms' official website and technical documentation, we have a preliminary understanding of what the Swarms framework does.

通过综合Swarms官网提供的信息和技术文档，我们对Swarms框架的作用有了初步的了解。

Note: Meme token prices are highly volatile and carry significant risks. Investors should fully assess risks and participate cautiously. This article only shares information based on market trends, and the author and platform make no guarantees regarding the completeness or accuracy of the content. This article does not constitute any investment advice.

注意：Meme 代币价格波动很大，存在重大风险。投资者应充分评估风险，谨慎参与。本文仅分享基于市场趋势的信息，作者和平台不保证内容的完整性或准确性。本文不构成任何投资建议。

Is it another entry for the tech crowd?

这是科技人群的另一个入口吗？

In addition to the clear token address on the Swarms official homepage, the developer of the Swarms framework @KyeGomezB continued to discuss token-related news on that day.

除了Swarms官方主页上有明确的代币地址外，Swarms框架的开发者@KyeGomezB当天还继续讨论代币相关的新闻。

According to Kye Gomes' GitHub page, the Swarms framework has already received over 2,000 stars (the $arc rig framework currently has 1,300 stars).

根据 Kye Gomes 的 GitHub 页面，Swarms 框架已经获得了 2,000 多颗星（$arc rig 框架目前有 1,300 颗星）。

With GitHub as proof, at least the hardcore technical identity of the $swarms token is solidified.

有 GitHub 为证，至少 $swarms 代币的核心技术身份得到了巩固。

Enterprise-level Multi-Agent Collaboration Framework

企业级多Agent协作框架

The Swarms framework was not originally designed specifically for Crypto Native services in Web3; its core positioning, as the term "Swarms" suggests, is a multi-agent collaboration framework for enterprises. It is more than just a simple AI development tool; it is a complete solution focused on addressing the practical problems enterprises face during the implementation of AI.

Swarms 框架最初并不是专门为 Web3 中的 Crypto Native 服务设计的；正如“Swarms”一词所暗示的那样，其核心定位是企业的多智能体协作框架。它不仅仅是一个简单的AI开发工具；它是专注于解决企业在实施人工智能过程中遇到的实际问题的完整解决方案。

In practical applications, Swarms provides a complete toolchain that enables enterprises to easily build and manage collaboration among multiple AI agents. These AI agents can be different language models, specialized tools, or custom intelligent agents, which can seamlessly cooperate under the scheduling of Swarms to complete complex business tasks.

在实际应用中，Swarms提供了完整的工具链，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、专门的工具，也可以是定制的智能代理，它们可以在Swarms的调度下无缝协作，完成复杂的业务任务。

From a technical architecture perspective, the Swarms framework includes the following core components:

从技术架构来看，Swarms框架包括以下核心组件：

Task scheduling system: responsible for breaking down complex tasks and assigning them to suitable AI agents.

任务调度系统：负责分解复杂的任务并将其分配给合适的AI代理。

Agent management module: manages the lifecycle and status of each AI agent.

Agent管理模块：管理各个AI Agent的生命周期和状态。

Communication middleware: ensures accurate and efficient information transfer between agents.

通信中间件：保证Agent之间准确、高效的信息传递。

Monitoring and logging system: tracks the operational status of the entire system in real-time.

监控记录系统：实时跟踪整个系统的运行状态。

At the enterprise application level, Swarms provides:

在企业应用层面，Swarms 提供：

High availability assurance: automatic fault tolerance and recovery mechanisms.

高可用性保证：自动容错和恢复机制。

Complete monitoring system: real-time tracking of AI agent performance and status.

完整的监控系统：实时跟踪AI代理的性能和状态。

Flexible scalability: easy addition of new AI capabilities and business logic.

灵活的可扩展性：轻松添加新的人工智能功能和业务逻辑。

Security considerations: comprehensive permission management and data protection mechanisms.

安全考虑：完善的权限管理和数据保护机制。

To understand how Swarms works, we can use an orchestra as an analogy:

为了理解 Swarms 的工作原理，我们可以用管弦乐队来比喻：

Imagine a large orchestra performing a symphony. Traditional AI solutions are like a jack-of-all-trades trying to play all instruments at once. In contrast, Swarms allows each "musician" (AI agent) to focus on their expertise, collaborating under the direction of a "conductor" (Swarms framework). The sheet music represents the standardized task flow of the entire system, while rehearsals are the continuous optimization process of the system.

想象一下一个大型管弦乐队正在演奏交响乐。传统的人工智能解决方案就像一个多才多艺的人，试图同时演奏所有乐器。相比之下，Swarms 允许每个“音乐家”（AI 代理）专注于他们的专业知识，在“指挥”（Swarms 框架）的指导下进行协作。乐谱代表了整个系统标准化的任务流程，而排练则是系统不断优化的过程。

For example, in an e-commerce scenario, when a user needs personalized shopping recommendations, the system automatically coordinates multiple specialized agents. The user profiling agent deeply understands user needs, the product recommendation agent filters the most suitable products accordingly, and the review analysis agent organizes user feedback, ultimately presenting friendly suggestions to the user through the dialogue assistant agent. These agents perform their respective roles while seamlessly cooperating to provide precise services to the user.

例如，在电子商务场景中，当用户需要个性化购物推荐时，系统会自动协调多个专门的代理。用户画像代理深入了解用户需求，产品推荐代理相应过滤最合适的产品，评论分析代理整理用户反馈，最终通过对话助理代理向用户呈现友好的建议。这些代理各司其职，无缝协作，为用户提供精准服务。

How does it differ from other projects in the same field?

它与同一领域的其他项目有何不同？

As a product in the AI framework space, whether it is $ai16z&$ELIZA with the ELIZA framework or $arc based on the rig framework, their prices reflect the market's recognition of the underlying infrastructure concept.

作为AI框架领域的产品，无论是采用ELIZA框架的$ai16z&$ELIZA，还是基于Rig框架的$arc，它们的价格都体现了市场对底层基础设施理念的认可。

So, is the Swarms framework in competition with the other two projects? Or can they complement each other?

那么，Swarms 框架是否与其他两个项目存在竞争呢？或者说它们可以互补吗？

Twitter user @tmel0211 summarized

Twitter 用户@tmel0211 总结