Cua vs NemoClaw
Side-by-side comparison of two AI agent tools
Short answer
- Cua is growing faster: +2,970 GitHub stars in the last 30 days vs +405 for NemoClaw.
- Pick Cua for: scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation. Pick NemoClaw for: run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell.
From GitHub data refreshed daily.
C
Cuaopen-source
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
N
NemoClawopen-source
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
Metrics
| Cua | NemoClaw | |
|---|---|---|
| Stars | 27.7k | 22.6k |
| Star velocity /mo | 3.0k | 405 |
| Commits (90d) | 1.4k | 3.2k |
| Releases (6m) | 10 | 1 |
| Overall score | 0.9092592394174208 | 0.7874043547413702 |
FAQ
- Which is more popular, Cua or NemoClaw?
- Cua has more GitHub stars (27,747 vs 22,638).
- Which is more actively developed, Cua or NemoClaw?
- NemoClaw had more commits in the last 90 days (3,177 vs 1,409).
- Should I use Cua or NemoClaw?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.