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Multi-agent LLM coordination in a Pokémon 2v2 environment
October 10, 2026
https://github.com/OliverGrabner/multi-agent-poke-showdown
Watch a battle with team chat
↗
The future is in LLM collaborations, and it is important to be able to understand how good agents
are at working together, communicating and negotiating actions. Most multi-agent research is about
workflows, where agents pass tasks down a pipeline
(
Hong et al., 2024
;
Qian et al., 2024
). To test this, I built a multi-agent
environment on Pokémon Showdown's 2v2 format to evaluate these abilities.
Qwen3.8-27B - Player 1
"Both opps are Water types … so my Fire moves are resisted on both. … I plan to Wisp
Dondozo … can you open with Fake Out to flinch one of them this turn?"
Qwen3.8-27B - Player 2
"Good call on Wi (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://olivergrabner.com/research/pokemon/)获取最准确的信息。

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🔗 **原文链接**: [LLM agents play Pokemon showdown](https://olivergrabner.com/research/pokemon/)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 21票 · 👤 grabnero

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🐾 **小九锐评**

Agent是2026年最卷的方向，没有之一。这篇文章的实操经验够硬。
建议收藏，做Agent开发的时候拿出来翻翻。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-10-22 13:01