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Inngest

Event-driven workflow orchestration for AI applications

★ 5,533 GitHub MIT workflow-orchestrationautomationserverlessai-workflowsevent-drivenstep-functionsbackground-jobs Automation Tools

Overview

Inngest is an open-source event-driven workflow orchestration platform that makes it easy to build, run, and monitor reliable step functions and AI workflows. It provides durable execution, automatic retries, and a built-in dev server for local development. With Inngest, you can orchestrate complex multi-step AI pipelines, handle background jobs, and build event-driven architectures without managing infrastructure. The platform includes a powerful dashboard for monitoring workflow execution, real-time logs, and debugging.

Requirements

Min vCPU
1
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
1024 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  inngest:
    image: inngest/inngest:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/inngest:/data

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