9.3k repos tracked
updated 2d ago
Repository · MIT

Yeti-791/Awesome-Offensive-AI-Agentic-Landscape

This document curates open-source projects, academic papers, capability benchmarks, and commercial solutions (international & China) in AI penetration testing, LLM red teaming, autonomous offensive agents, and vulnerability discovery—aimed at helping researchers, security engineers, and enterprise decision-makers quickly form a holistic view.

★ 432
Stars
52 forks · 0 open issues
+3.9/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
34.7
Momentum / 100
see the breakdown below
5mo ago
Created
last push 58d ago

Star history

2026-10-10 351 → 432 stars +81 over 26 days 2026-11-05

How this score was built

ComponentWeightEarnedWhy
Velocity5513.1 +3.9/day, log-scaled against a 750/day ceiling
Acceleration153.6 last week ran 1.24× the monthly pace
Freshness1510.4 last push 58d ago; decays to zero at 180 days
Scale157.6 432 stars, log-scaled against 150k — stops a 3-star repo topping the board
Momentum10034.7 sum of the above

Detail

Topicsai-benchmarksai-hackingai-pentestingai-red-teamingai-securityautonomous-penetrationawesome-listctfcybersecurityhacking-agentshacking-toolintelligent-penetrationllm-securityoffensive-aioffensive-securitypentestpentest-toolredteamsecurity-tools
Matched onSecurity (cybersecurity, security-tools)
Short window+27 stars over 7 days = 3.9/day
Long window+81 stars over 26 days = 3.1/day
Lifetime average2.93 stars/day over 147 days
First seen here2026-10-11
Last read2d ago