Inngest
Inngest replaces traditional queues with durable step functions, enabling reliable multi-step workflows on serverless, servers, or the edge.
Inngest is a modern, infrastructure-free orchestration platform that makes any code durable with automatic retries, recovery, and flow control.
Key Features:
- Durable Steps - Wrap functions in transactional steps that retry on failure and run exactly once on success.
- Zero Infrastructure - No workers, queues, or state management to configure or maintain.
- Any Runtime - Run on serverless, edge, or traditional servers from any trigger source.
- Built-In Observability - Query, cancel, or replay runs with structured traces and real-time logs.
- AI Workflow Support - Orchestrate multi-step AI agent pipelines with native LLM integrations.
- Event-Driven - Trigger from API calls, webhooks, schedules, or custom events.
Whether you're building data pipelines, orchestrating AI agents, or processing background jobs, Inngest lets you ship reliable workflows without infrastructure overhead.
Web scraping workflow
How to use Inngest in a web scraping pipeline
Inngest coordinates event-driven functions as durable steps with retry and flow-control features. A scraping application can use those boundaries to separate page acquisition from validation, enrichment and publication.
A practical workflow
- Send an event containing a collection identifier and a bounded list of target URLs.
- Put your own fetcher, extraction routine and destination write into separately named steps, with concurrency configured for the workload.
- Store raw captures externally and pass their identifiers between steps before publishing the final dataset location.
When it fits
Use this when collection starts from application events and later stages need recorded progress. An explicit step structure is useful when a transient extraction or loading failure should not require rebuilding the whole application request.
Boundaries
Your functions still need a runtime, HTTP or browser tooling and appropriate network access. Durable execution does not make vendor calls or database writes automatically safe to repeat. Design idempotent steps, limit event payload sizes and apply domain-level pacing separately from general function concurrency.
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Our productRepository
inngest/inngest
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5.9KForks
376Last commit
2026-10-14License
SSPL-1.0; Apache-2.0 future grant per versionLanguage
Go
Metrics recorded 2026-10-16
Repository details
Last push: 2026-10-15
License source: Repository license file
Frequently asked questions
What is Inngest used for?
Inngest coordinates background functions and durable workflows, including event-driven execution, scheduled runs and retryable steps. Applications define functions through its SDKs, while the platform manages execution state and scheduling.
Sources (checked ): Inngest documentation
How much does Inngest cost?
Inngest offers a limited Free plan and paid plans. Usage allowances, execution and step accounting, concurrency and platform features depend on the plan. Check the current pricing table and estimate the workflow’s actual execution pattern before calculating a bill.
Sources (checked ): Inngest pricing
What are the key differences between Temporal and Inngest?
Both coordinate durable application workflows. Temporal uses workflow and activity code executed by workers connected to a Temporal service. Inngest exposes SDK-defined functions and steps through its own execution platform. Compare programming model, deployment and operating responsibilities.
Sources (checked ): Inngest documentation; Temporal documentation
What are the key differences between n8n and Inngest?
n8n builds workflows through nodes and a visual editor, with options for custom code. Inngest defines application functions and durable steps through SDKs. Compare visual integrations versus application-code workflows, then assess deployment and execution requirements.
Sources (checked ): Inngest documentation; n8n documentation
What are some alternatives to Inngest?
Temporal provides durable workflow orchestration; BullMQ provides a background-job queue library. Their execution and operating models differ. Choose according to whether you need durable multi-step workflows, queue management or both.
Sources (checked ): Inngest documentation; Temporal documentation; BullMQ guide; BullMQ PostgreSQL backend
Sources
Verified against the inngest/inngest repository and the npm package.