samugit83/redamon
An AI-powered agentic red team framework that automates offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.
About the project
An autonomous AI red-team framework that chains reconnaissance, exploitation and post-exploitation into one pipeline, then triages findings, patches code and opens a pull request on your repository.
Useful for
- Run an authorized web pentest and get a ready PR with fixes
- Build an attack-surface graph in Neo4j from parallel scanner runs
- Run the XBOW benchmark and read step-by-step agent sessions
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 19 stars so far today, about 52 expected by the end of the day. The usual pace is 7 per day, so that's 7.9× as much.
- Over the last two days the pace is 5.4× that of the previous week and a half.
- The spike has held for 2 days in a row — not a one-off blip.
- GitHub Trending Python today: #8, +97 stars.
- About 17 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 2,719
- Today
- 19 · ≈ 52 by evening
- Forks
- 560
- Issues and pull requests
- 126
- Watchers
- 27
- Language
- Python
- License
- MIT
- Latest release
- v6.14.1 · September 11, 2026
- Created
- December 29, 2025
- Last push
- September 27, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 28, 2026GitHub Trending Python today: #8, +97 stars
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