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Inngest

Inngest

Durable execution platform for reliable workflows, AI agents, and background jobs without extra infra.

softwareDevOps & CI/CDworkflow-orchestrationbackground-jobsdurable-execution
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Our Verdict

Best for

Developers who want durable, retryable workflows and AI agent orchestration without running their own queue infrastructure.

Skip if

You already have a mature in-house queue/worker system and don't need step-level durability.

What is Inngest?

Inngest lets developers write durable, retryable workflows directly in application code instead of standing up a separate message queue, worker fleet, or job scheduler. Each step in a function executes and checkpoints independently, so if one step fails, execution resumes from that step rather than restarting the entire workflow from scratch. The platform is commonly used to orchestrate AI agent pipelines, long-running background jobs, and event-driven systems, with built-in flow control for rate limiting, per-tenant concurrency, and throttling expressed in a single line of SDK code. Agent observability features add tracing, replay, and outcome-based evaluation specifically for teams building LLM-driven workflows, and enterprise plans add SOC 2, HIPAA BAA, and SSO/SAML support.

SpecificationsAI-estimated

deploymentCloud/SaaS
open source❌ No
api available✅ Yes
key integrationsVercel, Next.js, OpenAI, Slack

Key Features of Inngest

Workflow steps retry independently from their failure point instead of restarting the whole function.
Flow control primitives like rate limiting, concurrency, and throttling are configured in a single line of SDK code.
Agent observability provides full tracing, replay, and outcome-based evaluation for AI agent workflows.
Functions can be triggered by events, schedules, or long-running waits without managing separate infrastructure.
Durability is embedded directly in application code via SDKs rather than requiring a separate orchestration service.
Built-in support for regulated environments includes SOC 2 Type II and HIPAA BAA availability.
SSO/SAML and end-to-end encryption are available for enterprise deployments.
A status page and event streaming support give visibility into workflow health at scale.

Use Cases for Inngest

1

AI agent pipelines

Orchestrate multi-step LLM agent workflows with retries, tracing, and replay built in.

2

Background job processing

Run long-running or asynchronous tasks reliably without managing a separate worker fleet.

3

Event-driven automation

Trigger durable functions from application events without wiring up a message broker.

4

Multi-tenant rate limiting

Apply per-tenant concurrency and throttling rules to protect downstream systems from overload.

Pros & Cons of Inngest

Pros

  • Removes the need to run your own queue or worker infrastructure for durable jobs
  • Step-level retries meaningfully reduce wasted compute on partial failures
  • Purpose-built observability for AI agent pipelines, not just generic job tracking
  • Generous free Hobby tier for prototyping

Cons

  • Pro tier jumps to $99/month once you outgrow the free tier's execution limits
  • Requires adopting Inngest's SDK patterns throughout your codebase
  • Less familiar to teams already invested in traditional queue systems like SQS or Celery

Frequently Asked Questions

Do I need to run my own queue or worker servers with Inngest?

No, Inngest handles execution, retries, and scheduling as a managed service triggered from your application code via SDK.

What happens if a step in my workflow fails?

Only the failed step retries; earlier successful steps are not re-executed, which saves compute and avoids duplicate side effects.

Is Inngest good for AI agent workflows specifically?

Yes, it includes agent-specific observability like tracing, replay, and outcome-based evaluation on top of general durable execution.

Is there a free plan?

Yes, the Hobby plan is free and includes 50,000 executions per month.

Pricing Overview

View full pricing →
Freemium

Hobby

$0

Pro

$99

Enterprise

Custom

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About the Product

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Platforms
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Target AudienceDevelopers building reliable workflows, background jobs, and AI agent pipelines

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