Temporal

Temporal

Temporal is a durable execution platform that keeps long-running microservice and AI agent workflows running reliably through crashes, restarts, and outages. With Temporal, you write workflow logic as ordinary code while Temporal records every step and automatically replays state after a failure, so an agent's multi-step plan or a payment saga resumes exactly where it stopped instead of starting over. Created by Maxim Fateev and Samar Abbas, the engineers behind Uber's open-source Cadence engine, Temporal is open source with a managed cloud option. It is not an AI product itself; it is the orchestration backend many teams use to make agentic and distributed systems production-grade.

Production credibility: Founded in 2019 by Maxim Fateev (CTO) and Samar Abbas (CEO), co-creators of Uber's open-source Cadence orchestration engine, with prior work on Amazon Simple Workflow Service and Microsoft's Durable Task Framework. Temporal has raised approximately $650M total across six rounds, including a $300M Series D in February 2026 led by Andreessen Horowitz, with Lightspeed and Sapphire Ventures joining and insiders Sequoia, Index, Tiger Global, GIC, Madrona, and Amplify participating, at a $5B valuation (up from $2.5B in late 2025). The company reports 183,000+ weekly active open-source developers, 2,500+ Temporal Cloud customers, and 184% net dollar retention. Named users include Snap, Netflix, HashiCorp, Box, Datadog, and Sinch.

Key Features

• Durable execution: workflow state is automatically persisted and replayed after any failure
• Write workflows as code in Go, Java, Python, TypeScript, .NET, and PHP
• Built-in retries, timeouts, and idempotency so failure handling isn't hand-rolled
• Long-running and stateful workflows that can span seconds to months
• Signals, queries, and timers for human-in-the-loop steps and event-driven coordination
• Open-source self-hosted server plus a managed Temporal Cloud option
• Polyglot orchestration across services and languages, used as an agentic backend
• Observability via the Temporal UI for inspecting, debugging, and replaying workflow histories

Ideal Use Case

Engineering teams use Temporal to orchestrate AI agents, payment flows, order processing, and other multi-step backend workflows that must complete reliably even when individual services fail or restart.

How Temporal differentiates

Unlike Apache Airflow, which schedules batch data pipelines on a DAG, Temporal runs event-driven, long-lived application workflows in your own code with automatic state recovery. Compared with cron jobs or queue-plus-retry glue (e.g. Celery, SQS), Temporal removes the hand-built retry, timeout, and idempotency logic by making execution durable by default. Versus newer agent frameworks, Temporal is not an agent framework; it is the reliability layer underneath one, and is frequently paired with them. The trade-off: Temporal adds a server (or Temporal Cloud) and a programming model to learn, which is overkill for simple, stateless tasks.

FAQ

Q: What is Temporal used for? A: Temporal is a durable execution platform for running reliable, long-running workflows, AI agent orchestration, payment and order processing, data pipelines, and other multi-step backend processes that must survive crashes, restarts, and outages without losing state.

Q: Who founded Temporal? A: Temporal was founded in 2019 by Maxim Fateev and Samar Abbas, the engineers who created Uber's open-source Cadence engine and previously worked on Amazon Simple Workflow Service and Microsoft's Durable Task Framework.

Q: How much funding has Temporal raised? A: Temporal has raised roughly $650M across six rounds, most recently a $300M Series D in February 2026 led by Andreessen Horowitz at a $5B valuation, with Sequoia, Index, Lightspeed, Sapphire, and others participating.

Q: Temporal vs Airflow: what's the difference? A: Airflow schedules batch data pipelines as DAGs on a fixed cadence. Temporal runs event-driven, long-lived application workflows written in general-purpose code, automatically persisting and recovering state after failures, which makes it better suited to agents and transactional backend logic than to scheduled ETL.

Q: Is Temporal an AI tool? A: Not directly. Temporal is workflow and orchestration infrastructure. It is widely used to make AI agent and other distributed workflows reliable in production, but it does not provide models or AI features itself.

tl;dr

Temporal is an open-source durable execution platform (with a managed cloud) that runs long-running microservice and AI agent workflows reliably through failures. Built by Uber's Cadence creators, it raised a $300M Series D in 2026 at a $5B valuation and is used by Snap, Netflix, and HashiCorp.

Related

Looking for more options? Browse the Developer Tools directory or read our best AI coding tools listicle. Temporal is also tracked on Crunchbase.