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Dev tools · November 13, 2025

DJ

DBOS Java – Postgres-Backed Durable Workflows

Hi HN - I’m Peter, here with Harry (devhawk), and we’re building DBOS Java, an open-source Java library for durable workflows, backed by Postgres. https://github.com/dbos-inc/dbos-transact-java Essentially, DBOS helps you write long-lived, reliable code that can survive failures, restarts, and crashes without losing state or duplicating work. As your workflows run, it checkpoints each step they take in a Postgres database. When a process stops (fails, restarts, or crashes), your program can recover from those checkpoints to restore its exact state and continue from where…

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In plain words

DBOS Java is an open-source library that enables developers to build long-running workflows in Java that can survive failures and crashes without losing state. It checkpoints each step of execution to a Postgres database, allowing programs to resume from their exact stopping point after restarts or errors. The tool is designed for applications like AI agents, payment processing, and data synchronization that take extended periods to complete, eliminating the need for manual retry logic and ad-hoc state management.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN - I’m Peter, here with Harry (devhawk), and we’re building DBOS Java, an open-source Java library for durable workflows, backed by Postgres. https://github.com/dbos-inc/dbos-transact-java Essentially, DBOS helps you write long-lived, reliable code that can survive failures, restarts, and crashes without losing state or duplicating work. As your workflows run, it checkpoints each step they take in a Postgres database. When a process stops (fails, restarts, or crashes), your program can recover from those checkpoints to restore its exact state and continue from where it left off, as if nothing happened. In practice, this makes it easier to build reliable systems for use cases like AI agents, payments, data synchronization, or anything that takes hours, days, or weeks to complete. Rather than bolting on ad-hoc retry logic and database checkpoints, durable workflows give you one consistent model for ensuring your programs can recover from any failure from exactly where they left off. This library contains all you need to add durable workflows to your program: there's no separate service or orchestrator or any external dependencies except Postgres. Because it's just a library, you can incrementally add it to your projects, and it works out of the box with frameworks like Spring. And because it's built on Postgres, it natively supports all the tooling you're familiar with (backups, GUIs, CLI tools) and works with any Postgres provider. If you want to try it out, check out the quickstart: https://docs.dbos.dev/quickstart?language=java We'd love to hear what you think! We’ll be in the comments for the rest of the day to answer any questions.

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    DBOS transact – Ultra-lightweight durable execution in Python2024 · github.com · ▲89

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