
83
Stack Score
Best for
Node and TypeScript teams building AI features or async workflows that need durable execution without standing up a queue.
At a glance
- Pricing
- freemium
- Setup time
- 15 minutes
- Learning curve
- medium
- Last verified
- 5/19/2026
What we love
- ✓Eliminates queue infrastructure — no Redis or SQS needed
- ✓Excellent DX with TypeScript-first SDK and clear errors
- ✓Step replay makes debugging long-running workflows tractable
- ✓Generous free tier supports real production traffic
Where it falls short
- −Vendor lock-in if you go deep on step.run patterns
- −Pricing scales with function steps — can surprise at high volume
- −Smaller ecosystem than Temporal for non-Node stacks
Pricing
✓ Pricing verified Jun 21, 20263 tiers
Hobby
$0
forever
- ✓50,000 executions included
- ✓5 concurrent steps
- ✓50 realtime connections
- ✓3 users
- ✓Logs, traces, and observability
Pro
$75
per month, starting at
- ✓1M executions included
- ✓100+ concurrent steps
- ✓1000+ realtime connections
- ✓15+ users
- ✓7 day trace retention
Enterprise
Custom
annual contract
- ✓Custom executions
- ✓500-50k concurrent steps
- ✓SAML, RBAC, and audit trails
- ✓90 day trace retention
- ✓Dedicated Slack channel
Why we picked it
If you're building an AI agent in production, Inngest handles the orchestration headache.
Overview
Durable execution + step functions + retries for AI-heavy apps. Strong typescript/python SDKs.
Key features
- ●Durable function execution — retries, sleeps, replays on failure
- ●Step functions for breaking workflows into idempotent units
- ●Event-driven triggers from webhooks, schedules, or other events
- ●Real-time dashboard showing live function runs and history
- ●Local dev server with full event replay for testing
- ●AgentKit for building stateful AI agents on top of Inngest
- ●Concurrency, throttling, and rate-limiting built in
Best use cases
AI agent workflows
Run multi-step LLM chains with retries, human-in-the-loop, and durable state across hours or days.
Webhook fan-out
Receive a Stripe or Shopify event and durably fan out into multiple downstream jobs.
Scheduled syncs
Cron-style jobs that survive deploys, partial failures, and provider outages.
Integrations
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