AUTONOMOUS AGENT SWARM DESIGNER
HERMES • PAPERCLIP • LUNAR/MARS sovereignagentics.io
Autonomous Agent Swarm Designer
Design and simulate swarms of local AI agents for lunar/Mars surface operations. Perfect tie-in to Hermes/Paperclip. Outputs throughput, power, comms, and ready-to-deploy agent role configs.

Swarm Design

Higher ISRU mix boosts propellant & panel production. Export config for Hermes agents running on local models (qwen2.5:14b recommended).

Swarm Simulation

SWARM OUTPUT + HERMES CONFIG

About the Autonomous Agent Swarm Designer

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.

How to use it

  1. Set the number of agents and the mix between ISRU and exploration work.
  2. Set the power per agent.
  3. Run the design to read ISRU throughput, exploration distance per day, and total power.
  4. See the number of coordinating roles and the overall swarm score.

How it works

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.

Worked example

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.

Frequently asked questions

What is a swarm score?

A composite of throughput, exploration, and coordination used to compare designs, not an absolute metric.

Does more agents always help?

Up to a point — coordination overhead rises with fleet size, so returns eventually flatten.

Is this tied to a specific robot?

No — it's a generic capacity model with adjustable per-agent assumptions.

Engineering-grade?

No — a transparent planning estimator.

Offline and translated?

Yes — 25 languages, browser-only.

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