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OpenRig – a control plane for multi-agent coding topologies

OpenRig – a control plane for multi-agent coding topologies

by mschwarz·May 22, 2026·6 points·8 comments

AI Analysis

●●●BangerBig BrainZero to OneSolve My Problem

Terraform for agent fleets solves the terminal sprawl problem nobody else addressed.

Strengths
  • Declarative YAML topology replaces manual terminal session management entirely.
  • Persistent identity lets agents survive reboots without losing context or state.
  • Shared memory across pods enables genuine coordination, not just parallel execution.
Weaknesses
  • Niche audience limited to developers already running multi-agent coding setups.
  • Requires agents to support specific coordination primitives to work effectively.
Target Audience

AI engineers building multi-agent systems

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Post Description

Hi HN, I’m Mike, the founder of OpenRig.

I built this because my Claude Code + Codex setup kept forming little "topologies" of long-lived agents that worked well together, but the terminal sprawl was intense. So I built a primitive the agents could intuitively reach for to save and recreate these setups on the fly. This then led to more agent-first primitives like coordination, declarative workflow patterns, workspaces, etc.

Several months in and these "rigs" I manage with openrig require a lot less babysitting and I can manage more projects at once without getting overwhelmed.

The short version: OpenRig is a way to save and operate that topology instead of rebuilding it by hand every time.

Demo video: https://youtu.be/yCFSRnPDFqY?si=n5e627d0CU3X3bmE

GitHub: https://github.com/mvschwarz/openrig

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