Pixel-art translation of Maximilien Luce, Factories near Charleroi (Usines près de Charleroi) (1897): factory chimneys and furnaces near Charleroi smoke under a hazy sky.Pixel-art translation of Maximilien Luce, Factories near Charleroi (Usines près de Charleroi) (1897): factory chimneys and furnaces near Charleroi smoke under a hazy sky.

How Ogun compares

Ogun overlaps with several mature categories of tools. It is meant to work alongside them, not to replace them.

By category

Categories, typical focus, and where Ogun sits (October 2026)
CategoryExamplesTheir focusOgun
Workflow orchestratorsAirflow, Dagster, Prefect, Kestra, TemporalScheduling and running arbitrary tasks at scale, with mature UIs and operator ecosystems.Ogun focuses on acquisition and artifacts and keeps workflows as hashed data. Integrations for Airflow, Dagster, Prefect and Kestra start and watch its runs; they are not on PyPI yet.
Data loading (ELT)dlt, AirbyteConnectors from APIs and databases into warehouses.Ogun adds authenticated web and file acquisition, content-addressed artifacts and lineage down to the byte.
Crawling and extractionScrapy, Crawl4AI, FirecrawlCrawling pages and turning them into structured or LLM-ready text.Ogun treats crawling as one operator among many, with durable, resumable file acquisition and provenance.
Agent evaluation harnessesHarbor, Inspect, benchmark-specific runnersRunning tasks and scoring agents.Ogun reads their formats and adds cross-benchmark matrices, lineage and a cost ledger; harness ablations are planned.
Scripts and notebooksPython, shell, cronAnything, quickly.Ogun gives the same work durability, approvals, sandboxing and a record of what produced what.

Categories, not verdicts: every project named here is good at what it does, and several are planned integration targets. Orchestration is also consolidating (Prefect announced on 13 July 2026 that it had agreed to acquire Dagster Labs, with Dagster continuing as open source). Spot an error? info@vernesystems.com.

Using Ogun with other tools

Under an orchestrator

The repository has integrations that start and watch Ogun runs from an Airflow DAG, a Dagster asset, a Prefect flow and a Kestra flow, and a Python client of the local API. They are not on PyPI yet and were tested against fakes.

Before a warehouse

Ogun acquires and verifies; DuckDB or dbt operators shape; Parquet and lineage events go wherever your warehouse loads from.

Beside your agents

Your coding agent drafts a workflow over MCP; Ogun validates it and shows a plan diff; a person approves any new code; Ogun runs the partitions and retries only the ones that failed.

Ogun and Zeus

Zeus is Verne’s session-aware download and file layer for AI agents: your agent asks, Zeus fetches, you decide. Ogun is for engineers building datasets, pipelines and benchmarks. Both run on zeus-core.

Visit Zeus
  • Need your AI assistant to download a file? Zeus.
  • Need a scheduled, partitioned, verified dataset? Ogun.
  • Need a source behind your browser login in a pipeline? Ogun, through Zeus.

Read the design

The decisions and first-draft specifications are public, and the runtime is being tested. Feedback is most useful now, before the contracts are frozen.