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Inngest

Backend & Database · Freemium

Open-source workflow orchestration platform for durable functions, background jobs, and AI workflows across serverless, servers, and edge runtimes.

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Cloud Deploy· beam.cloud

Freemium

Serverless GPU platform for deploying AI workloads, scheduled jobs, APIs, and model-serving functions from Python.

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Agent Frameworks· n8n.io

Freemium

Source-available workflow automation platform for building AI agent workflows, tool integrations, and production automations across APIs and apps.

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GitHub Agentic Workflows

AI Agents· github.github.com

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Open-source GitHub automation framework for defining continuous AI workflows in Markdown with scoped tools, permissions, triggers, and agent orchestration.

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Start building with Inngest
TypeScript

Detected in linked setup sources

Paste into a fresh file and run with node / ts-node / bun.

typescript
export default inngest.createFunction(
  {
    id: "import-product-images",
    concurrency: {
      key: "event.data.userId",
      limit: 10
    }
  },
  { event: "shop/product.imported" },
  async ({ event, step }) => {
    // Here goes the business logic
    // By wrapping code in steps, each will be retried automatically on failure
    const s3Urls = await step.run("copy-images-to-s3", async () => {
      return copyAllImagesToS3(event.data.imageURLs);
    });
    // You can include numerous steps in your function
    await step.run("resize-images", async () => {
      await resizer.bulk({ urls: s3Urls, quality: 0.9, maxWidth: 1024 });
    })
  };
);

// Elsewhere in your code (e.g. in your API endpoint):
await inngest.send({
  name: "shop/product.imported",
  data: {
    userId: "01J8G44701QYGE0DH65PZM8DPM",
    imageURLs: [
      "https://useruploads.acme.com/q2345678/1094.jpg",
      "https://useruploads.acme.com/q2345678/1095.jpg"
    ],
  },
});
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