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Temporal
Temporal Technologies
Durable execution platform: workflows replay from history and survive failures.
Overview
Temporal runs application logic as workflows and handles intermittent failures and retries. Each workflow keeps an event history it replays to recover. Its AI Cookbook documents durable agent loops and a human-in-the-loop agent that waits on Signals for approval.
Production criteria
| Approval gatesCan a person or policy hold an action until it is approved? | Documented pattern Workflows wait on Signals; the AI Cookbook includes a human-in-the-loop agent. |
|---|---|
| Restart recoveryDoes work resume after a crash or redeploy without repeating finished steps? | Built in Workflows recover by replaying their event history. |
| Evidence trailCan you inspect what ran, with what inputs, and who approved it? | Built in Each workflow execution keeps an event history. |
| Kill switchCan an operator withdraw permission or stop further actions? | Built in Operators can cancel or terminate workflow executions. |
| Policy controlsDo declared rules decide which tools and actions are allowed? | Not claimed Not documented by the vendor or not yet reviewed. |
| Sandbox isolationDoes code or tool execution run inside an isolated boundary? | Not claimed Not documented by the vendor or not yet reviewed. |
Marks reflect the documentation linked below as of 2026-10-29. How we mark criteria.
Limits and scope
- Workflow code must be deterministic; side-effecting tool calls belong in activities and should be idempotent.
Also in Durable execution & workflows
- Trigger.dev — Open-source platform for long-running AI tasks in TypeScript, with checkpointing and waitpoints.
- DBOS — Durable workflows and queues as a library, backed by the Postgres you already run.
- Inngest — Stateful step functions and AI workflows on serverless, servers or the edge.
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