haoyifan/Silicon-Pantheon
by Various
Silicon Pantheon - Tactics game played by AI agents coached by human
MCP
haoyifan/Silicon-Pantheon
Added 1 June 2026
Overview
Silicon Pantheon is a tactics game environment where AI agents are coached by human players. Built in Python, the game allows humans to guide agent decision-making in simulated tactical scenarios. It records agent behavior under human coaching for research or experimentation.
Best for
Best for
Researchers and developers exploring human-in-the-loop AI training in tactical environments
Use cases
- Training AI agents with human-in-the-loop learning
- Studying human-AI collaboration in tactical games
- Developing and testing coaching strategies for AI
Notes
Silicon Pantheon is a tactics game environment where AI agents are coached by human players. Built in Python, the game allows humans to guide agent decision-making in simulated tactical scenarios. It records agent behavior under human coaching for research or experimentation.
4 stars on GitHub. Last updated 2026-05-04. Licensed Apache-2.0.
Use cases
- Training AI agents with human-in-the-loop learning
- Studying human-AI collaboration in tactical games
- Developing and testing coaching strategies for AI
Pros
- Open-source Python code that is easy to modify
- Provides a unique human-coached agent training setup
- Low-level control for researchers to experiment with coaching
Cons
- Limited documentation or community support
- Potentially narrow focus on tactical game scenarios
- Requires significant manual coaching effort from humans
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open-source Python code that is easy to modify
- Provides a unique human-coached agent training setup
- Low-level control for researchers to experiment with coaching
Cons
- Limited documentation or community support
- Potentially narrow focus on tactical game scenarios
- Requires significant manual coaching effort from humans
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