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DBOS

Build reliable software effortlessly with durable workflows and queues

Dev Toolsworkflow-orchestrationdurable-executionai-agentsopen-sourcepythonpostgresfault-tolerance
DBOS screenshot

About

DBOS is an open-source durable execution and workflow orchestration library that allows developers to build fault-tolerant, observable applications and AI agents by annotating their existing Python code. It connects to a Postgres database as its backend, requiring no additional infrastructure, and provides features like durable queues, cron scheduling, human-in-the-loop workflows, and a management dashboard called DBOS Conductor. The project is grounded in MIT-Stanford research and integrates natively with popular AI agent frameworks like OpenAI Agents SDK, LlamaIndex, and Pydantic AI.

Problem

Building resilient, observable workflows and AI agents that survive failures, restarts, and redeploys is complex and requires significant infrastructure overhead.

For

Software developers and AI engineers building reliable, fault-tolerant applications and agents

How it works

Developers install the open-source DBOS library, connect it to a Postgres database, and annotate their workflow functions and steps to make them automatically durable, fault-tolerant, and observable.

Business model

freemium

Status

launched

Company

DBOS, Inc.

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