SwarmNode（$ snai）在LCX Exchange上列出

我們很高興宣布$ snai的上市。從2025年2月21日星期五，下午12點開始。 LCX Exchange將支持$ 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將支持$ SNAI。存款將於2025年2月21日（星期五）下午12點開始，而交易對$ snai/ur將被列出。

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可以在不管理服務器的情況下啟用雲中的Al Agent。可以通過UI，REST API和Python SDK執行代理。代理商可以互相調用並充當群。經紀人完成任務後，它將冬眠並等待下一個任務。代理還可以處理數據，將其存儲在共享數據庫中，然後讓其他代理接收並進一步處理。 SwarmNode的目標是成為創建，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.

開發人員可能對AI代理人有一個想法，例如，股票市場研究人員，股票市場的研究人員並返回其績效分析。他們希望代理人即使在睡覺時也可以運行並可以向公眾訪問，因此他們無法在本地機器上運行代理商。通常，他們必須在雲上租用服務器，安裝大量的依賴項，密切關注使用情況，擔心服務器停機時間以及旋轉數據庫。對於一個簡單的想法來說，這是很多頭痛！ SwarmNode減少了所有麻煩，並使開發人員能夠專注於業務邏輯。

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是無服務器的，這意味著您不必擔心昂貴的基礎架構。您只需提供要運行的代碼，而不是維護自己的服務器。 SwarmNode負責規模，資源分配和數據庫管理。如果您熟悉AWS lambda，那是同一想法，但旨在以最小的大驚小怪的是以AI為導向的代碼。與使用傳統服務器不同，您只需支付運行代理的時間即可。您不會因未使用的計算而受到收費。

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!

一個代理可以調用​​另一個代理商，創建一系列代理商又稱群。這就像一個裝配線：每個代理都可以執行特定的任務，然後將結果傳遞給下一個代理以進行進一步處理。是否要構建一個處理文本的翻譯器，然後將翻譯文本發送給另一個代理進行情感分析？簡單 - 僅將他們連鎖！

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.

您可以通過REST API或PYTHON SDK來編排代理商。換句話說，您可以控制代理何時以及如何運行以及它們處理的數據。此編排功能類似於使用Air Flow或Zapier等工具來管理工作流程，除了您自己編寫的AI腳本。

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.

每個代理商都可以免費訪問鍵值數據存儲，該數據存儲可以在代理之間共享。將其視為雲中的迷你數據庫，以存儲少量數據。

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時間運行。想要每天進行備份還是進行夜間分析？您可以在不在自己的服務器上設置CRON作業的情況下做到這一點。

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.

即將到來的現成代理的庫將讓您選擇由SwarmNode社區創建的代理，您可以自定義並進一步開發。或者，您可以出版自己的其他人，例如適用於AI代理的應用商店。