Temporal

Temporal makes your code crash-proof. Write a workflow function, and Temporal guarantees it completes — even if servers crash, networks fail, or deployments happen mid-execution. The full running state is durable and fault-tolerant by default. Just raised $300M at a $5B valuation because AI agents need exactly this.

OpenAI, ADP, and Block run Temporal in production for agent orchestration. The shift from "reliable ETL" to "durable AI agents" is driving 2026 adoption. Compared to Prefect (Python-native, lighter), Temporal is more language-agnostic and handles longer-running workflows. Compared to Windmill (developer-friendly UI), Temporal is more powerful but harder to learn.

Use this when you're building workflows that absolutely cannot fail — payment processing, multi-step AI agents, long-running data pipelines. Skip this for simple cron jobs or scripts that can safely retry from scratch.

The catch: the learning curve is steep. Temporal's execution model (deterministic replay) requires thinking differently about side effects. Self-hosting is complex — most teams end up on Temporal Cloud, which isn't free.