The durable execution plane

Build and run pipelines, workflows and agents.

Build with a visual canvas, declarative DAGs, SQL, Python or code-first agents. VegaFlow gives every mode the same durable state, governed context and operational history.

RUN / orders-to-lakehouse● LIVE
01discover_catalog succeeded 00:04
02public.customers succeeded 00:38
03public.orders running 08:12
04public.order_items queued --:--
05
06cursor updated_at = 2026-09-03T00:44:12Z
07environment production / me-central
STATUSREADYREGIONME-CENTRAL

VegaFlow / role in the platform

Build visually or in code. VegaFlow keeps track of versions, execution state, retries and approvals, so you can inspect a run or resume it after an interruption.

Capabilities

What you can build with VegaFlow

QuickFlows

Set up ingestion and ETL with source discovery, incremental sync and managed connections.

Declarative DAGs

Build versioned asset pipelines with explicit dependencies, schedules and observable execution.

SQL pipelines

Give analytics engineers a direct path from governed SQL to reliable production workflows.

Durable flows

Run long-lived, retryable processes with recoverable state and human-in-the-loop decisions.

Native AI agents

Build typed, stateful agents with tools, memory, guardrails and live organizational context.

Visual agents

Compose triggers, tools, decisions and human review on a canvas backed by the same runtime.

How it works

Follow the data and execution.

01

Trigger + plan

Resolve the version, policy, dependencies and organizational context for this run.

02

Execute

Run pipelines, services and agents on isolated compute with durable state.

03

Recover

Retry safely, resume long-running work and bring a person into the loop when needed.

04

Record

Record outputs, decisions and lineage in the shared graph.

VegaFlow / start with one outcome

Run your first workflow in VegaFlow.

Build with VegaFlow Open documentation