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AI · May 22, 2026

OpenRig – a control plane for multi-agent coding topologies

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…

OpenRig – a control plane for multi-agent coding topologies launched on May 22, 2026 with 6 votes, #1,742 of 20,538 launches that month and more than 75% of that year's launches.

Visit openrig.dev ↗Alternativestop 8% of May 2026

What it does

OpenRig discovers, boots, snapshots, restores, and visualizes the graph your coding sessions form so the topology survives real work instead of collapsing at reboot time.

OpenRig turns AI coding agents from a pile of terminal sessions into a persistent, organized team. It's a local daemon, a SQLite database, a CLI, and a dashboard; the agents are ordinary Claude Code and Codex sessions in tmux. You describe a team in one file and boot it with one command: named agents with roles, talking to each other through their terminals, passing work through a queue that can't drop it, following playbooks the system enforces. Close every window and the team keeps working; reboot and rig up brings it back by name. Sub-agents and agent teams are great, and they end when the session ends. A rig is the team that doesn't. A sub-agent is a function call; a seat in a rig is a…from openrig.dev

In the maker’s words, at launch

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.…

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