Hobbyper month
$0/month
- 50k executions, 5 concurrent executions, 500 MB span data ingested, 10K scores, 500k events ingested, 100k queue depth,
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Start here for the decision-making essentials: what Inngest does, who it is for, how it is accessed, and the first-party sources behind this profile.
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Inngest is a durable execution platform for building reliable background jobs, multi-step workflows, and AI agents without managing queue infrastructure. It offers TypeScript, Python, and Go SDKs with automatic retries, flow control, and step-level observability across serverless and traditional clouds.
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Short answers to the questions buyers and builders commonly ask about Inngest. Each answer cites the shared ledger below, where every source is listed once.
Durable execution with automatic retries, flow control, and step-level observability · Agent evals: score variants against live production traffic, track every run, and build da · Builds durable workflows, agents, and background jobs · Function Replay to bulk re-run failed functions filtered by function, time range, and fail
Build reliable background jobs, workflows, and AI agents without extra infrastructure. Automatic retries, flow control, and step-level observability.
Individual developers, small projects, and teams scaling to enterprise in regulated indust · Startups and scale-ups building reliable workflows and AI agents, including Resend, SoundC
We serve heavily regulated industries, and have the certs to prove it.
Reliable background jobs, multi-step workflows, AI agents, scheduled/cron jobs, webhooks a · Reliable event-driven workflows and AI agent orchestration across SaaS, AI, and Ecommerce · Measuring and improving AI agents in production with evals, deferred scoring, and live-tra · Fixing Vercel function timeouts by moving long-running work to durable background jobs wit
Durable message queues without the infrastructure—no Redis or broker, with built-in flow control. Multi-step workflow orchestration in code: functions that checkpoint, wait, and fan out across steps. Run scheduled and cron jobs as functions that sleep, fan out, parallelize, retry, and recover. Handle webhooks and event-driven functions reliably.
Durable Endpoints (beta) do not support flow control: concurrency limits and rate limiting · Durable Endpoints do not yet support POST body; query strings should be used to pass data
Flow control is not supported — Features like concurrency limits and rate limiting are not available for Durable Endpoints
Hobby | $0/month | 50k executions, 5 concurrent steps, 500 MB span data, basic tracing/met
Hobby For individual developers and small projects getting started with durable execution. $0/mo No credit card required - 50k executions - 5 concurrent steps - 500 MB span data ingested - 10K scores - 500k events ingested - 100k queue depth - 50 realtime connections - Basic tracing, metrics, and alerts
v2 REST API plus CLI `api` subcommands to inspect runs, pull step traces, and invoke funct · Functions are served and invoked via an /api/inngest endpoint exposing GET, POST, and PUT
New `api` subcommands for the Inngest CLI let you inspect runs, pull step traces, and invoke functions from the terminal, CI, or a coding agent—backed by the v2 REST API and a new API key type.
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Inngest - Durable Execution for Workflows & AI
Durable execution with automatic retries, flow control, and step-level observability · Reliable background jobs, multi-step workflows, AI agents, scheduled/cron jobs, webhooks a · TypeScript, JavaScript, Python, and Go SDKs
Durable execution with automatic retries, flow control, and step-level observability
Reliable background jobs, multi-step workflows, AI agents, scheduled/cron jobs, webhooks and event-driven functions
TypeScript, JavaScript, Python, and Go SDKs; deployable to serverless, traditional, or any cloud provider
Deploy within existing app on serverless, traditional, or any favorite cloud provider, including Vercel, Netlify, and Cloudflare Pages
Hobby | $0/month | 50k executions, 5 concurrent steps, 500 MB span data, basic tracing/metrics/alerts
Official MCP server and AI agent plugins/skills for inspecting, sending events to, and debugging Inngest functions
Individual developers, small projects, and teams scaling to enterprise in regulated industries
LLM-friendly documentation available at inngest.com/llms.txt and inngest.com/llms-full.txt
Regular security audits and SOC 2 compliance
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
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Inngest published an RCA covering four July 2026 incidents (July 10, two on July 16, and July 23) that affected function execution, scheduling, checkpointing, execution metrics publishing, and event processing.
View source [17]Inngest (2026) introduced a Scoring API that lets users attach named quality signals to runs, steps, or experiment variants, including deferred LLM-as-a-judge scorers, via the TypeScript SDK.
View source [9]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Inngest. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Founders: Tony Holdstock-Brown (CEO & Founder) and Dan Farrelly (CTO & Founder)
Inngest is the observable execution layer for agents and workflows — from the first function to full production.
2022
Inngest is open core and can be self-hosted on a developer's laptop or any compute platform.
Self-hosted on any developer's laptop or any compute platform, or hosted on Inngest Cloud
Remote-first with an SF office
Backed by investors including Guillermo Rauch (CEO of Vercel), Tom Preston-Werner (Founder of Github), Jason Warner (CEO at Poolside), Jake Cooper (Founder of Railway), Tristan Handy (CEO & Founder of dbt Labs), Oana Olteanu, Ian Livingston
Developer platform for durable execution, background jobs, and reliable workflows without extra infrastructure.
Startups and scale-ups building reliable workflows and AI agents, including Resend, SoundCloud, and Cohere.
Reliable event-driven workflows and AI agent orchestration across SaaS, AI, and Ecommerce segments, including video generation, threat scanning, order fulfillment, multi-warehouse shipping, multi-agent systems, CRM with reasoning, bi-direct
Agent evals: score variants against live production traffic, track every run, and build datasets via step.score() with no added instrumentation.
Reads OpenTelemetry gen_ai.* metadata from AI calls made with the OpenAI, Anthropic, Google Generative AI, or Vercel AI SDKs.
Builds durable workflows, agents, and background jobs
Measuring and improving AI agents in production with evals, deferred scoring, and live-traffic experiments
Python SDK with first-class FastAPI, Flask, and Django support
Python SDK is open source on GitHub (inngest/inngest-py)
Function Replay to bulk re-run failed functions filtered by function, time range, and failure type after a bug fix or outage
Official launch partner for Stripe Projects, an agent-first protocol for standing up production stacks
Official plugins and skills for Claude Code, Codex, and Cursor coding agents
Queue infrastructure migrated from Valkey to FoundationDB for durable, horizontally scalable storage
Fixing Vercel function timeouts by moving long-running work to durable background jobs with automatic retries
Orchestrates AI image generation workflows with fal.ai, adding retries, async coordination, per-user fairness, and observability
v2 REST API plus CLI `api` subcommands to inspect runs, pull step traces, and invoke functions from terminal, CI, or coding agents
Durable Endpoints turn any HTTP handler into a durable workflow with automatic retries and step-based checkpointing, requiring no queue or worker infrastructure
Step-based execution with step.run(), step.sleep(), and step.waitForEvent() for retryable, checkpointed work blocks
Durable Endpoints can stream data back to clients in real time via Server-Sent Events (SSE), with streamed data automatically rolled back on the client when a step is retried
Run durable background jobs and workflows (e.g., sending emails, calling AI models, processing uploads, chaining operations) from Next.js without managing a queue or worker
Use cases include scheduling drip marketing campaigns, building payment flows, or chaining LLM interactions in Node.js
