Postgres-Backed Durable Workflows in Go
Hi HN - I’m Peter, here with Max (hmaxdml), and we’re building DBOS Go, an open-source Go library for durable workflows, backed by Postgres. https://github.com/dbos-inc/dbos-transact-golang DBOS workflows make your programs durable by automatically checkpointing their state to Postgres. If your program crashes or fails, all workflows seamlessly resume from their last completed step when your program restarts. This durability makes workflows useful for solving many different problems, including: - Operating an AI agent, or anything that connects to an unreliable or…
What it does
In the maker’s words, at launch
Hi HN - I’m Peter, here with Max (hmaxdml), and we’re building DBOS Go, an open-source Go library for durable workflows, backed by Postgres. https://github.com/dbos-inc/dbos-transact-golang DBOS workflows make your programs durable by automatically checkpointing their state to Postgres. If your program crashes or fails, all workflows seamlessly resume from their last completed step when your program restarts. This durability makes workflows useful for solving many different problems, including: - Operating an AI agent, or anything that connects to an unreliable or non-deterministic API. - Building observable and fault-tolerant data pipelines. - Orchestrating business processes so they seamlessly recover from any failure. - Running reliable background jobs with no timeouts. - Processing incoming events (e.g. from Kafka) exactly once What’s unique about DBOS is that it's just a Go package--all you need to add durable workflows to your app is included in this library (plus Postgres). There's no separate service or orchestrator to run, so you can incrementally add it to an existing Go application without rearchitecting anything. Also, because it’s all Postgres-backed, you get all the tooling you’re familiar with: backups, GUIs, CLI tools–it all just works. You can use Supabase, RDS, Neon, or any other Postgres provider. If you want to try it out, check out the quickstart: https://docs.dbos.dev/quickstart We'd love to hear what you think! We’ll be in the comments for the rest of the day to answer any questions.
Does the same job
all alternatives →- DPDBOS Python 1.0 – Lightweight Durable Workflows Built on Postgres2025 · github.com · ▲6
Hi HN – this is Peter from DBOS here with Qian (qianli_cs) and Jeremy (jedberg). We’re building an open-source, lightweight durable workflows library on top of Postgres. Ever since we first launched on HN last year, we’ve been blown away by the support, feedback, and response we’ve received from the community. We've realized durable workflows are critical for everything from business processes to AI automation to data pipelines, but most existing durable orchestration tools are either too heavy or too complicated for most applications. Instead, we're building something lightweight, simple,…
- LDLightweight Durable Workflows Built on Postgres2025 · github.com · ▲5
Hi HN! This is Qian here with Peter (KraftyOne) and Jeremy (jedberg). We’re building DBOS, an open-source, lightweight durable workflows library that you can add to Python apps in just a few lines of code. It’s comparable to popular open-source workflow and queue libraries like Airflow and Celery, but more lightweight with a greater focus on reliability and automatically recovering from failures. Our goal in building DBOS is to make workflows lightweight and flexible so you can add them to your existing apps with minimal work. Everything you need to run durable workflows and queues is…
- DGDbdot – Golang tool to help generate Postgres schema diagrams2019 · github.com · ▲119
- WJWorkq – Job Server in Go2016 · github.com · ▲185
- DLDatabase Labs – Postgres as a Service2014 · databaselabs.io · ▲46
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