PhysX
NVIDIA-Omniverse/PhysX/AGENTS.md
Self-contained Python/C library for USD-based physics simulation — the fastest path to running PhysX from Python for reinforcement learning and robotics. The installed wheel ships SKILLS.md with step-by-step playbooks for common tasks (scene loading, environment cloning, tensor bindings, resetting). Each subfolder has its own README with build and usage instructions.
AGENTS.md4.8k starsChanged 4 years ago
- Installs packages
What's in it
- AGENTS.md — NVIDIA PhysX Repository
- ovphysx (primary AI-agent use case)
- Other projects in this repo
# AGENTS.md — NVIDIA PhysX Repository ## ovphysx (primary AI-agent use case) Self-contained Python/C library for USD-based physics simulation — the fastest path to running PhysX from Python for reinforcement learning and robotics. ```bash pip install ovphysx ``` - **Documentation:** https://nvidia-omniverse.github.io/PhysX/ovphysx/index.html - **Source subfolder:** [`ovphysx/`](ovphysx/) - **Samples:** `ovphysx/tests/python_samples/` (hello_world.py, clone.py, etc.) The installed wheel ships `SKILLS.md` with step-by-step playbooks for common tasks (scene loading, environment cloning, tensor bindings, resetting). ## Other projects in this repo | Directory | What it is | |---|---| | [`physx/`](physx/) | PhysX SDK — C++ real-time physics engine | | [`blast/`](blast/) | Blast SDK — destruction and fracture simulation | | [`flow/`](flow/) | Flow SDK — fluid and fire simulation | | [`omni/`](omni/) | Omniverse PhysX extensions for Kit-based apps | Each subfolder has its own README with build and usage instructions.
More agent context in NVIDIA-Omniverse/PhysX
One other file this repository gives its agents.
AGENTS.md
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