Why DBOS? | DBOS Docs
docs.dbos.dev · 865 words · saved by 1 readers
If you're building AI agents, also check out the AI Quickstart.
info If you're building AI agents, also check out the AI Quickstart. What is DBOS? DBOS provides high-performance, easy-to-use durable workflows built on top of Postgres. Essentially, it helps you write long-lived, reliable code that can survive failures, crashes, and restarts without losing state or duplicating work. In practice, DBOS makes it easier to build reliable systems for use cases like AI agents, data pipelines, payments, or anything that takes minutes, days, or weeks to complete. Rather than bolting on ad-hoc retry logic and database checkpoints, DBOS workflows give you one…
saved by
related reading
- Benchmarking How Workflow Execution Scales on Postgres | DBOSdbos.dev
- Durable Execution Solutions | Temporaltemporal.io
- Durable Execution Solutionstemporal.io
- Building Durable AI Agentsworkflow-sdk.dev
- Towards self-driving codebases · Cursorcursor.com
- Temporal Primer - Building Long-Running Systemsarpitbhayani.me
- Building Effective AI Agents \ Anthropicanthropic.com
- Building an open-source version of Antithesis, Part 1: Understanding the deterministic simulation testing ecosystemdatabases.systems
- No-code open source database & application builder | Baserowbaserow.io
- An Overview of Distributed PostgreSQL... | Crunchy Data Blogcrunchydata.com
- Cursor: AI coding agentcursor.sh
- Fabro — The Dark Software Factoryfabro.sh