Nvidia
Open source activity
As of Oct 28, 2026
Nvidia's open-source activity splits cleanly into two lines right now. One is the long-running RAPIDS/CUDA software stack — cuDF (GPU dataframes), cuML (GPU-accelerated machine learning), and the CUDA Core Compute Libraries — all getting steady maintenance as the foundation under everything else Nvidia ships. The other, newer line is agent infrastructure: Model-Optimizer (a unified library for quantization, distillation, pruning and speculative decoding) and NemoClaw, which lets agent frameworks like Hermes, LangChain Deep Agents and OpenClaw run "more securely inside NVIDIA OpenShell with managed inference."
That NemoClaw repo is a direct, concrete piece of the containment story machine.net has already covered: OpenShell is the hardware-level kill-switch architecture Nvidia built specifically to let operators cut power to a misbehaving agent's compute, and NemoClaw is the software layer that routes third-party agent frameworks through it rather than letting them run with unmanaged access to raw GPU inference. Seeing active development on the integration layer, not just the announcement, suggests Nvidia is treating agent containment as a product surface to build out, not a one-time press release.
Most active repositories
| Repository | Description | Language | Stars | Last pushed |
|---|---|---|---|---|
| NVIDIA/OpenShell | OpenShell is the safe, private runtime for autonomous AI agents. | Rust | 20,658 | Oct 29, 2026 |
| NVIDIA/cccl | CUDA Core Compute Libraries | C++ | 2,559 | Oct 29, 2026 |
| NVIDIA/halos-outside-in-safety | NVIDIA Halos Outside-In Safety Blueprint extends robot perception beyond on-board sensors by using external infrastructure cameras and AI agents to dynamically control robot behavior and perform at maximum efficiency. | C++ | 79 | Oct 29, 2026 |
| NVIDIA/GreenLiT | GreenLiT is a comprehensive test framework for Linux-based distros. | Python | 5 | Oct 29, 2026 |
| NVIDIA/NemoClaw | Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference | TypeScript | 22,878 | Oct 29, 2026 |
| NVIDIA/kumo-engine | Kumo Engine is an accelerator for context generation over structured data, designed for teams building and running predictive models in production at scale. | Python | 20 | Oct 29, 2026 |
| NVIDIA/DALI | A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. | C++ | 5,787 | Oct 29, 2026 |
| NVIDIA/spark-local-inference | — | Rust | 695 | Oct 29, 2026 |
| NVIDIA/auto-ontology | Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows. | Python | 575 | Oct 29, 2026 |
| NVIDIA/TileGym | Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming | Python | 831 | Oct 29, 2026 |
| NVIDIA/cloudai | CloudAI Benchmark Framework | Python | 101 | Oct 29, 2026 |
| NVIDIA/NeMo-Speech.cpp | NeMo-Speech.cpp is a lightweight C++ inference runtime for Speech models | C++ | 209 | Oct 29, 2026 |
| NVIDIA/aicr | Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes | Go | 447 | Oct 29, 2026 |
| NVIDIA/structured-data-models | Foundation Models for Structured Data | Python | 430 | Oct 29, 2026 |
| NVIDIA/cosmos-framework | Our inference and training framework to run on the Cosmos Models | Python | 586 | Oct 29, 2026 |
| NVIDIA/cuda-quantum | C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows | C++ | 1,168 | Oct 29, 2026 |
| NVIDIA/cudaq-qec | Accelerated libraries for quantum-classical computing built on CUDA-Q. | C++ | 119 | Oct 29, 2026 |
| NVIDIA/DeepStream | NVIDIA DeepStream Monorepo: DeepStream SDK and reference apps for building GPU‑accelerated, real-time video and multi‑sensor analytics pipelines with GStreamer, TensorRT, and vision AI models across edge, on‑prem, and cloud deployments. | C++ | 298 | Oct 29, 2026 |
| NVIDIA/Megatron-LM | Ongoing research training transformer models at scale | Python | 18,294 | Oct 29, 2026 |
| NVIDIA/cuvs | cuVS - a library for vector search and clustering on the GPU | Cuda | 880 | Oct 29, 2026 |