by NKAI-Decision-Team · Agent Tool · ★ 151
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Demos of LLM-Pysc2 with SMAC tasks LLM-PySC2 - LLM StarCraft II Learning Environment LLM-PySC2 is NKU Robot Autonomy and Human-AI Collaboration Group and NUDT Laboratory for Big Data and Decision's Python component of the StarCraft II LLM Decision Environment. It wraps Deepmind's PySC2 Learning Environment API in to a LLM energized Multi-Agent Decision Environment. This is a collaboration between NKU and NUDT to develop StarCraft II into a rich environment for LLM research. LLM-PySC2 provides an interface for LLM agents to interact with StarCraft 2, getting textual/multimodal observations and dealing with textual actions. We also make it possible for LLMs to make decisions in SMAC tasks, which make it possible to compare LLM with RL method. Features Support for more than 5 seri
| Stars | 151 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 66.1051833267247/100 |
| Open Issues | 7 |
| Last Updated | 2025-04-24 |
| Created | 2024-09-27 |
| Platforms | python |
| Est. Tokens | ~3334k |
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LLM-PySC2 is LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment. It is categorized as a Agent Tool with 151 GitHub stars.
LLM-PySC2 is primarily written in Python. It covers topics such as environment, llm, llm-agent.
You can find installation instructions and usage details in the LLM-PySC2 GitHub repository at github.com/NKAI-Decision-Team/LLM-PySC2. The project has 151 stars and 14 forks, indicating an active community.
LLM-PySC2 is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to LLM-PySC2 on Agent Skills Hub include prism-insight, wcgw, llama-cpp-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.