Agno vs PentAGI
Side-by-side comparison of two AI agent tools
Short answer
- Agno is growing faster: +1,080 GitHub stars in the last 30 days vs +600 for PentAGI.
- Pick Agno for: build, run, and manage agent platforms. Pick PentAGI for: fully autonomous AI Agents system capable of performing complex penetration testing tasks.
From GitHub data refreshed daily.
A
Agnoopen-source
Build, run, and manage agent platforms.
P
PentAGIopen-source
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
Metrics
| Agno | PentAGI | |
|---|---|---|
| Stars | 42.5k | 25.2k |
| Star velocity /mo | 1.1k | 600 |
| Commits (90d) | 351 | 304 |
| Releases (6m) | 10 | 2 |
| Downloads (30d, npm + PyPI) | 1.7M | — |
| Overall score | 0.8265030856638511 | 0.7335985975115102 |
FAQ
- Which is more popular, Agno or PentAGI?
- Agno has more GitHub stars (42,524 vs 25,208).
- Which is more actively developed, Agno or PentAGI?
- Agno had more commits in the last 90 days (351 vs 304).
- Should I use Agno or PentAGI?
- 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.