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Inngest

Build reliable background jobs, workflows, and AI agents with durable execution, automatic retries, and step-level observability—no extra infrastructure.

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Introduction

Overview

Inngest is a durable execution platform that lets developers build reliable background jobs, workflows, and AI agents directly in their existing codebase—without provisioning or maintaining separate infrastructure. Instead of juggling queues, workers, and orchestration services, you add simple step.run() calls to your code and Inngest handles retries, state persistence, and observability automatically.

Developers love Inngest because it moves durability and observability into the code itself. The same primitives that power a simple background job also power complex multi-step AI agents, long-running API endpoints, and scheduled cron jobs. Because execution is managed by Inngest, every step is logged, replayable, and traceable by default—no new instrumentation or architecture required.

Whether you're replacing a brittle serverless background job stack, building event-driven workflows, or shipping AI agents that need to pause, wait for input, and resume, Inngest gives you a single SDK that drops into your existing code and keeps everything running reliably.

Key Features

  • Durable Execution: Add steps to any codebase to automate retries from failure—not from scratch. Each step checkpoints independently, so a failed run resumes exactly where it left off.
  • Flow Control: Add rate limits, per-tenant concurrency, and throttling with one line of code to prevent one needy user from starving the rest.
  • Agent Observability: Trace everything, replay anything, and eval variants based on real product outcomes. Observability lives inside the execution chain, not outside it.
  • Step-Level Primitives: step.run(), step.waitForEvent(), and step.score() give you fine-grained control over execution, event waiting, and scoring within your functions.
  • No Infrastructure to Manage: No workers, no queues, no Redis, no brokers. Inngest handles all execution infrastructure so you can focus on your code.

Use Cases

  • AI Agent Builders: Pause mid-execution, wait for user or
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