OpenRig explained: coordinate coding agents without losing the operator
OpenRig next steps: a measured pilot, not a bigger team by default
Turn the first owner/checker run into evidence for a safe rollout decision
What you will learn
- Write a small pilot charter
- Observe the full lifecycle
- Decide what would justify expansion
Before you start
- Node 22 or 24 and tmux on a supported host
- One working provider account and a disposable repository
Turn the first owner/checker run into evidence for a safe rollout decision
Key takeaways
- Repeatable topology still needs tested behavior.
- Fresh and resumed seats are different recovery outcomes.
- Future features are hypotheses, not release promises.
Write a small pilot charter
Select one disposable repository, one existing provider account and a task with observable tests. Record permitted writes, forbidden external actions and who will review the result.
The project’s RigSpec and AgentSpec layers make the team repeatable, but repeatability is not the same as validated behavior. Save the exact spec revision alongside the candidate commit.
Observe the full lifecycle
Preview setup and launch, record the before/after config inventory, check seat readiness, send a bounded task, inspect its queue ID and review the exact candidate. Stop and restore the disposable rig once.
Capture failed as well as successful stages. A restore that starts a fresh node should be reported differently from a resumed conversation.
Decide what would justify expansion
Only add more seats if the pilot improves accepted work without obscuring permissions or increasing rework. Future integration of additional providers or terminal UIs is a possibility, not a documented commitment in these sources.
The next useful article after a live pilot would report measured handoff time, config changes, provider usage and failure recovery. Until then, this series remains an evidence-grounded guide, not an operational endorsement.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Define a bounded pilot and saved spec revision.
- 2
Record queue, review and restore outcomes.
- 3
Expand only if measured quality and visibility improve.
Copy-ready example
pilot charter -> plan -> two seats -> bounded task
exact review -> snapshot/restore -> rollout decisionFrequently asked questions
Should I start with a large multi-pod rig?
No. The first-use guide starts with a small owner/checker team.
What remains unverified by this series?
Installation, provider authentication, live coordination, performance and recovery on your host.
Sources
- OpenRig / README.mdSource checked 2026-10-04
- OpenRig / docs/reference/getting-started.mdSource checked 2026-10-04
- OpenRig / docs/reference/rig-spec.mdSource checked 2026-10-04
- OpenRig / docs/reference/agent-spec.mdSource checked 2026-10-04
- OpenRig / docs/reference/instance-layout.mdSource checked 2026-10-04
- OpenRig / LICENSESource checked 2026-10-04