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How to split one goal across a flock of simulated robots with Quackd

Give a flock a goal so each robot's model divides the work by messaging the others.

Authorization notice. Quackd is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA developer testing multi-robot coordination who wants to see robots divide a task without a human assigning roles.

The problemAssigning subtasks to several robots by hand is slow, and each robot needs to know what the others can do.

The outcomeA flock completes a shared goal, such as splitting a search so the closest duck kicks, with each robot's choices visible.

What you need first

  • Python installed on a laptop or computer
  • An API key for one hosted model (Claude, OpenAI, Gemini, Grok and others), or a local model served by Ollama, vLLM, llama.cpp or LM Studio
  • For the simulated duck: the quackd[microduck] extra
  • For real hardware: a supported robot such as the SO-101 arm over LeRobot, plus its serial or USB connection

Steps

  1. Install Quackd with the microduck extra and register two or more simulated robots by name (inferred, check the README)
  2. Group the registered robots into a flock using the flock command in the README (inferred, check the README)
  3. Run: Quackd run --goal "Split the search, the closest duck kicks." against the flock
  4. Review each robot's calls and confirm the flock finished the goal

Prompt for your agent

Using the rokbenko/quackd repo, register two simulated robots as <robot-a> and <robot-b>, group them into a flock named <flock-name>, and run the goal "Split the search, the closest duck kicks." Report which robot kicked and the calls each robot made. Verify that both robots received their own model pilot and that the goal completed.

Caveat. The README says no flock has yet crossed from one machine to a second, so this works on one computer only.

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