SwarmNode（$ snai）在LCX Exchange上列出

我们很高兴宣布$ snai的上市。从2025年2月21日星期五，下午12点开始。 LCX Exchange将支持$ SNAI。

LCX Exchange will support the $SNAI. Deposits will start on – Friday, 21st February 2025, at 12 PM CET, and the trading pair $SNAI/EUR will be listed.

LCX Exchange将支持$ SNAI。存款将于2025年2月21日（星期五）下午12点开始，而交易对$ snai/ur将被列出。

SwarmNode enables running Al agents in the cloud without managing servers. An agent can be executed via the UI, REST API, and Python SDK. Agents can invoke each other and act as a swarm. After an agent finishes its task, it hibernates and waits for the next task. An agent can also process data, store it in a shared database, and let other agents pick it up and process it further. SwarmNode aims to be a one-stop shop for creating, configuring, and deploying Al agents.

SwarmNode可以在不管理服务器的情况下启用云中的Al Agent。可以通过UI，REST API和Python SDK执行代理。代理商可以互相调用并充当群。经纪人完成任务后，它将冬眠并等待下一个任务。代理还可以处理数据，将其存储在共享数据库中，然后让其他代理接收并进一步处理。 SwarmNode的目标是成为创建，配置和部署AL代理的一站式商店。

A developer may have an idea for an AI Agent—say, a stock market researcher that takes a ticker and returns its performance analysis. They want the agent to be running and accessible to the public even while they are asleep, so they can’t run the agent on a local machine. Normally, they’d have to rent a server on the cloud, install a ton of dependencies, keep an eye on usage, worry about server downtime, and maybe spin up a database. That’s a lot of headaches for a simple idea! SwarmNode cuts out all that hassle and enables developers to focus on the business logic.

开发人员可能对AI代理人有一个想法，例如，股票市场研究人员，股票市场的研究人员并返回其绩效分析。他们希望代理人即使在睡觉时也可以运行并可以向公众访问，因此他们无法在本地机器上运行代理商。通常，他们必须在云上租用服务器，安装大量的依赖项，密切关注使用情况，担心服务器停机时间以及旋转数据库。对于一个简单的想法来说，这是很多头痛！ SwarmNode减少了所有麻烦，并使开发人员能够专注于业务逻辑。

SwarmNode is serverless, which means you don’t worry about costly infrastructure. Instead of maintaining your own servers, you simply provide the code that you want to run. SwarmNode takes care of scaling, resource allocation, and database management. If you’re familiar with AWS Lambda, it’s the same idea, but geared toward running AI-oriented code with minimal fuss. Unlike using traditional servers, you only pay for the time it takes to run the agents. You don’t get charged for unused compute.

SwarmNode是无服务器的，这意味着您不必担心昂贵的基础架构。您只需提供要运行的代码，而不是维护自己的服务器。 SwarmNode负责规模，资源分配和数据库管理。如果您熟悉AWS lambda，那是同一想法，但旨在以最小的大惊小怪的是以AI为导向的代码。与使用传统服务器不同，您只需支付运行代理的时间即可。您不会因未使用的计算而受到收费。

One agent can invoke another, creating a chain of agents aka a Swarm. This is like an assembly line: each agent can perform a specific task and then pass the result on to the next agent for further processing. Want to build a translator that processes text, and then sends the translated text to another agent for sentiment analysis? Easy—just chain them!

一个代理可以调用​​另一个代理商，创建一系列代理商又称群。这就像一个装配线：每个代理都可以执行特定的任务，然后将结果传递给下一个代理以进行进一步处理。是否要构建一个处理文本的翻译器，然后将翻译文本发送给另一个代理进行情感分析？简单 - 仅将他们连锁！

You can orchestrate your agents via a REST API or Python SDK. In other words, you can control when and how your agents run, and what data they handle. This orchestration feature is similar to using a tool like Airflow or Zapier for managing workflows, except with AI scripts that you’ve written yourself.

您可以通过REST API或PYTHON SDK来编排代理商。换句话说，您可以控制代理何时以及如何运行以及它们处理的数据。此编排功能类似于使用Air Flow或Zapier等工具来管理工作流程，除了您自己编写的AI脚本。

Each agent will have free access to a key-value datastore, which can be shared among agents. Think of it like a mini database in the cloud for storing small bits of data.

每个代理商都可以免费访问键值数据存储，该数据存储可以在代理之间共享。将其视为云中的迷你数据库，以存储少量数据。

You’ll soon be able to schedule agents to run at a specific time. Want to perform daily backups or run a nightly analysis? You’ll be able to do that without setting up a cron job on your own server.

您很快就可以安排代理商在特定时间运行。想要每天进行备份还是进行夜间分析？您可以在不在自己的服务器上设置CRON作业的情况下做到这一点。

An upcoming library of ready-made agents will let you pick and choose agents created by the SwarmNode community, which you can customize and further develop. Or, you can publish your own for others to use—like an App Store for AI agents.

即将到来的现成代理的库将让您选择由SwarmNode社区创建的代理，您可以自定义并进一步开发。或者，您可以出版自己的其他人，例如适用于AI代理的应用商店。