agentic-radar vs PentAGI
Side-by-side comparison of two AI agent tools
agentic-radaropen-source
A security scanner for your LLM agentic workflows
P
PentAGIopen-source
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
Metrics
| agentic-radar | PentAGI | |
|---|---|---|
| Stars | 1.1k | 25.1k |
| Star velocity /mo | 19.572192513368982 | 2.1k |
| Commits (90d) | 0 | 324 |
| Releases (6m) | 0 | 2 |
| Overall score | 0.216911156588788 | 0.7601525194010438 |
Pros
- +Specialized focus on LLM agentic workflow security vulnerabilities that traditional scanners miss
- +Includes built-in visualization tools for clear security assessment reporting and analysis
- +Integrates with popular frameworks like CrewAI and provides easy PyPI installation
Cons
- -Appears to be a relatively new tool with limited documentation visibility from the provided materials
- -May require specialized knowledge of agentic systems to effectively interpret and act on scan results
Use Cases
- •Security assessment of autonomous AI agent systems before production deployment
- •Compliance auditing for organizations using LLM-powered workflows in regulated industries
- •Continuous security monitoring of agentic systems to detect emerging vulnerabilities
FAQ
- Which is more popular, agentic-radar or PentAGI?
- PentAGI has more GitHub stars (25,148 vs 1,057).
- Which is more actively developed, agentic-radar or PentAGI?
- PentAGI had more commits in the last 90 days (324 vs 0).
- Should I use agentic-radar 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.