# Building a Durable Execution Engine With SQLite

DevFeed: [Building a Durable Execution Engine With SQLite](<https://devfeed.tech/articles/building-a-durable-execution-engine-with-sqlite-18800.md>)

Original publisher: [Read original article](<https://www.morling.dev/blog/building-durable-execution-engine-with-sqlite/>)

Published: 2025-11-20T12:10:00Z

Content type: tutorial

Language: en

Sources: [Gunnar Morling](<https://devfeed.tech/sources/gunnar-morling.md>)

Topics: [SQLite](<https://devfeed.tech/topics/sqlite.md>), [Programming](<https://devfeed.tech/topics/programming.md>), [Code](<https://devfeed.tech/topics/code.md>), [Transactions](<https://devfeed.tech/topics/transactions.md>)

Tags: [code](<https://devfeed.tech/tags/code.md>), [programming](<https://devfeed.tech/tags/programming.md>), [sqlite](<https://devfeed.tech/tags/sqlite.md>), [transactions](<https://devfeed.tech/tags/transactions.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

## AI overview

This article introduces durable execution for long-running, multi-step workflows and discusses building a durable execution engine with SQLite. It explains how persistent execution state and checkpoints allow interrupted flows to resume without repeating completed steps, with applications including business processes and systems that interact with LLMs.

## Source excerpt

Table of Contents Hello Persistasaurus! Capturing Execution State Delayed Executions Human Interaction Managing State Wrapping Up Lately, there has been a lot of excitement around Durable Execution (DE) engines. The basic idea of DE is to take (potentially long-running) multi-step workflows, such as processing a purchase order or a user sign-up, and make their individual steps persistent. If a flow gets interrupted while running, for instance due to a machine failure, the DE engine can resume it from the last successfully executed step and drive it to completion.