Agent-S vs Cua
Side-by-side comparison of two AI agent tools
Short answer
- Cua is growing faster: +3,320 GitHub stars in the last 30 days vs +470 for Agent-S.
- Pick Agent-S for: agent S: an open agentic framework that uses computers like a human. Pick Cua for: scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation.
From GitHub data refreshed daily.
A
Agent-Sopen-source
Agent S: an open agentic framework that uses computers like a human
C
Cuaopen-source
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
Metrics
| Agent-S | Cua | |
|---|---|---|
| Stars | 12.5k | 27.9k |
| Star velocity /mo | 470 | 3.3k |
| Commits (90d) | 4 | 1.5k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 1.1K | 8.5K |
| Overall score | 0.4938801311902547 | 0.9054685646449584 |
FAQ
- Which is more popular, Agent-S or Cua?
- Cua has more GitHub stars (27,881 vs 12,509).
- Which is more actively developed, Agent-S or Cua?
- Cua had more commits in the last 90 days (1,456 vs 4).
- Should I use Agent-S or Cua?
- 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.