NiLabs
Upstream
Where our work lands
Most of what we do goes into other people’s repositories. These are contributions from individual NiLabs members, not partnerships or endorsements.
NVIDIA / OpenShell
A safe runtime for autonomous agents · Rust
vllm-project
LLM inference and post-training · Python
ggml / llama.cpp
Inference on ordinary hardware · C++
Contributing
The most useful thing you can send us is a case where two systems that should agree do not. Open an issue on the relevant repository, or start with conform’s contributing guide. No prior experience with inference internals is needed; the good reports usually come from people who hit the problem in an application first.