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Agent use cases

Run a multi-agent swarm simulation in Minecraft

Deployed 50 GPT-6.1 Sol agents in Minecraft for a 3-hour survival experiment using an open-source agent framework. The agents exhibited emergent swarm capabilities such as division of labor, establishing a pseudo-government, and rationing systems.

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minecraft-agent-harnessMineflayerPi

Added 2026-10-31 · originally published 2026-10-29


Steps

  1. 1Set up the game environment using the open-source minecraft-agent-harness framework
  2. 2Configure the core agent loop (Pi) and world interaction tools (Mineflayer)
  3. 3Place multiple agents into a shared sandbox environment, providing agent directories and direct messaging
  4. 4Set a shared goal for the agents: "Build a thriving civilization"
  5. 5Record plans, allocations, and rationing via files on the shared machine (such as settlement.md and food-queue.md)
Copy-ready prompt
You are a member of a multi-agent system participating in a multiplayer survival game. Your current goal is: [Build a thriving civilization and ensure survival]. Observe the world state, collaborate with peers using the shared sandbox and direct messaging, formulate division of labor, resource rationing, or hazard-avoidance plans, and record the results in the shared files.
#Multi-Agent#AI Experiments#Minecraft#Swarm Intelligence
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Last updated 2026-11-02 12:11 (Beijing time)