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PhysGym
principia-ai/PhysGym
A benchmark suite for evaluating LLM-based interactive scientific reasoning.
★100stars
Python
MIT
Updated: 1mo ago
📋 Project at a Glance
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What's this?Security & Governance project leveraging agentic-ai and ai-scientist, built with Python, open-source
Who made it?Maintained by principia-ai team, 100⭐ on GitHub, #272 out of 413 in Security & Governance
Why does it exist?In the Security & Governance space, agentic-ai workflows faced efficiency bottlenecks. PhysGym was built by principia-ai to address these ai-scientist challenges.
What can it do?Key use cases: benchmark, equation-discovery, llm
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/principia-ai/PhysGym
🔗 github.com/principia-ai/PhysGym
Topics
agentic-aiai-scientistbenchmarkequation-discoveryllmphysics