Inngest

Open-source durable workflow orchestration platform for AI agents and background jobs.

Updated April 2026

Overview

Website: inngest.com
Segment: Workflow & Task Orchestration

Product overview

Inngest builds an infraless orchestration engine for reliable, multi-step serverless workflows, including AI agents, using simple step functions in code that auto-retry and recover. Used by companies like SoundCloud, Resend, GitBook, Aomni, and Otto for scaling AI orchestration and background jobs, handling over 100M daily executions. Distinct for its developer-first DX: deploy anywhere (serverless/edge), instant local dev server, live traces/observability without extra infra, and agnostic triggers/code support.

Revenue model

Freemium SaaS: Free Hobby tier (50k executions/mo), Pro from $75/mo (1M executions), usage-based events ($0.000050+ with discounts), Enterprise custom (SOC2, SAML). SDKs Apache 2.0 open-source; server SSPL self-hostable.

Moat

Inngest's key competitive moat is its durable execution technology for event-driven serverless workflows, which persists each step to survive cold starts and infrastructure failures, enabling reliable long-running jobs with built-in observability, retries, and throttling—dramatically reducing development time, debugging by 50%, and costs by 50x for customers like Fey and MegaSEO. This developer-centric design, asset-light model avoiding compute management, and seamless local testing/iteration create high switching costs and superior ease-of-use over traditional workflow tools, positioning iteration speed as a defensible barrier in devtools.

Headwinds

Must compete against established serverless platforms from major cloud providers with deeper pockets.