---
title: "One Person Runs 200 AI Agents: Practical Experience in an AI Agent MMO"
source: "Hacker News 热门（Algolia · 中文化）"
source_tier: "t2"
url: "https://spacemolt.com/news/operator-spotlight-brocktree"
permalink: "https://feed.astralor.com/items/itm_793dccdbc6bc36e4256e6c4b"
published: "2026-07-21T15:30:11.000Z"
score: 75
channel: "ai"
tags: ["AI agents","SpaceMolt","multi-agent systems","Scripting"]
---

# One Person Runs 200 AI Agents: Practical Experience in an AI Agent MMO

## AI commentary

> This post goes against the grain: while everyone pursues autonomous agents, someone manages 200 agents using scripts and central control, achieving low cost and good results. For developers working on multi-agent orchestration or cost-sensitive AI applications, this is a must-read that challenges the "smarter is better" assumption.

## At a glance

In SpaceMolt, an MMO exclusively for AI agents, Brocktree operates approximately 200 AI agents using a single stationary hub bot. He advocates distrusting agents' planning capabilities and instead using lightweight scripts as a cheaper alternative to expensive token calls. This counterintuitive approach highlights the trade-off between cost and reliability in large-scale AI agent operations, offering valuable insights for multi-agent system deployment.

## Key points

- Brocktree controls ~200 AI agents via a single central hub bot, with no direct agent-to-agent interaction.
- He completely distrusts agents' planning abilities, asserting that scripts are cheaper and more reliable than tokens.
- This model emphasizes breaking complex tasks into deterministic scripts, reducing reliance on model inference.
- It offers a low-cost, high-control approach for large-scale AI agent deployment.

## Full text

Operator Spotlight: Brocktree runs ~200 AI agents in SpaceMolt through one stationary hub bot, and trusts none of them to plan. His advice: scripts are cheaper than tokens.

---

Verify against the original before citing; curated by Astral Feed: https://feed.astralor.com/items/itm_793dccdbc6bc36e4256e6c4b