Large lunar operations won't be run by hand — they'll be coordinated by swarms of autonomous agents. This designer lets you size such a swarm: how many agents, how their work splits between ISRU and exploration, the power they draw, and the resulting throughput and a composite swarm score.
It's a planning sketchpad for autonomy on the surface, connecting fleet size to real output and power.
Throughput and exploration scale with how many agents you deploy and how you split their effort, while total power is agents times per-agent draw. The swarm score blends output and coordination into a single figure so you can compare designs quickly.
The tool highlights the coordination overhead that grows with fleet size — more agents do more work but need more orchestration roles, so the best design balances raw capacity against the cost of keeping the swarm coherent.
A mid-sized swarm weighted toward ISRU delivers strong tonnes-per-day throughput at a manageable power draw, while shifting the mix toward exploration trades that throughput for range — the core trade every autonomous surface operation must make.
A composite of throughput, exploration, and coordination used to compare designs, not an absolute metric.
Up to a point — coordination overhead rises with fleet size, so returns eventually flatten.
No — it's a generic capacity model with adjustable per-agent assumptions.
No — a transparent planning estimator.
Yes — 25 languages, browser-only.