Artificial Intelligence1 min read

We ran AI agent swarms in Minecraft and Mindustry

By · Published by Everything Blog

In short

The Minecraft study, named Civ50, utilized 50 GPT-6.1 Sol agents powered by an open-sourced harness, Mineflayer scripting tools, and the Pi agentic loop. As the population pursued a shared civilization-building goal, an emergent social hierarchy formed through thousands of direct communications and shared tracking documents. Following a deadly night that killed nearly half the population, the swarm abandoned major excavation projects to prioritize low-risk routines like fishing within lit shelters.

Key points

  • Multi-agent AI populations can autonomously develop operational governance systems comple…: Multi-agent AI populations can autonomously develop operational governance systems complete with permits, appointed operators, and shared ledgers.
  • Sudden environmental hazards can rapidly shift autonomous agent objectives from explorato…: Sudden environmental hazards can rapidly shift autonomous agent objectives from exploratory expansion to extreme collective risk aversion.
  • Agent directory order can inadvertently establish social hierarchies and centralized auth…: Agent directory order can inadvertently establish social hierarchies and centralized authority within autonomous swarms.

Sources checked by our analysis pipeline: 1

Agents in Games

October 2026

Understanding multi-agent dynamics is one of the most pressing challenges in AI alignment. Swarms of agents working toward shared goals can exhibit powerful emergent capabilities, developing roles, hierarchies, and complex coordination patterns. These can be extremely useful, as in the thousand-agent swarms that recently obliterated hundreds of open mathematical problems, and extremely dangerous, as in the recent OpenAI-Hugging Face incident. Like biology, studying agent dynamics requires both formal models (to describe the range of possible behaviors) and empirical research (to see what behaviors arise in practice).

We teamed up with Olam Labs, which builds multi-agent environments for frontier labs, to run a series of experiments in Minecraft and Mindustry.

Minecraft

Minecraft is a natural environment for studying swarm behavior. Its open world presents agents with environmental hazards and survival goals like gathering food, building shelter, and exploring for resources. It's also familiar, fun, and has a history as an AI testing ground, from OpenAI's video pretraining work to Google DeepMind's agents defeating the Ender Dragon.

We wanted long-running agents that could play Minecraft. The harness…

Artificial Intelligence