Build reliable background jobs, AI agent workflows, and durable step functions without managing queues or infrastructure.
Inngest is a workflow orchestration platform that replaces traditional queues, state management, and scheduling with durable step functions. You write functions using the Inngest SDK in TypeScript, Python, or Go, and each step is automatically checkpointed, retried on failure, and observable. It works on serverless, containers, or the edge with no separate infrastructure to deploy. Teams use it for AI agent orchestration, background jobs, scheduled tasks, and complex multi-step workflows that need to run reliably at scale.
Inngest provides official SDKs for TypeScript/JavaScript, Python, and Go. You can mix languages in multi-service architectures by calling Inngest functions across SDKs. Support for additional languages like Rust and Elixir is in development.
No. Inngest replaces traditional queues and workers entirely. You add the SDK to your existing application and deploy functions alongside your app code. There's no Redis, RabbitMQ, or SQS to set up or maintain.
Inngest uses usage-based pricing. The free tier includes 50K executions per month. The Pro plan starts at $75/month with 1M executions included. Enterprise pricing is custom. You pay based on function step executions, not seats.
Yes. Inngest offers a self-hosted option with an official Helm chart published as an OCI artifact. You can run it in your own Kubernetes cluster. The open-source engine is also available for local development and CI environments.
Each step in an Inngest function is checkpointed after successful completion. If a later step fails, Inngest retries from that specific step using the saved state from previous steps. Your function code re-executes, but completed steps return their cached results instead of running again.
Yes. Inngest works with Vercel, AWS Lambda, Cloudflare Workers, and any platform that serves HTTP. Your functions run on your own compute while Inngest handles orchestration, scheduling, and state management.
Yes. Inngest is specifically designed for AI workflow orchestration, with built-in support for retries on non-deterministic LLM responses, parallel model calls, timeout handling, and full observability into each step of your AI pipeline.
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