vxcontrol/pentagi
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
About the project
Autonomous multi-agent system in Go for automated penetration testing: AI agents plan and execute steps in an isolated Docker sandbox with 20+ tools (nmap, metasploit, sqlmap).
Useful for
- Run an automated penetration test against a target system via the web UI
- Connect your own LLM provider (OpenAI, Anthropic, Ollama) for the agents
- Generate a vulnerability report with exploitation guides in Markdown or PDF
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 386 stars today. The usual pace is 31 per day, so that's 13× as much.
- Over the last two days the pace is 7.7× that of the previous week and a half.
- The spike has held for 3 days in a row — not a one-off blip.
- GitHub Trending today: #8, +613 stars.
- GitHub Trending Go today: #1, +613 stars.
- About 30 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
- 23,959
- Stars in a day
- 390
- Forks
- 3,094
- Issues and pull requests
- 398
- Watchers
- 145
- Language
- Go
- License
- MIT
- Latest release
- v2.1.0 · May 29, 2026
- Created
- January 6, 2025
- Last push
- September 10, 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 14, 2026GitHub Trending today: #8, +590 stars; GitHub Trending Go today: #1, +590 stars
- September 13, 2026GitHub Trending today: #8, +613 stars; GitHub Trending Go today: #1, +613 stars
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