# trhhubsd/ARTEXX

> AI autonomous penetration testing system with a Go backend and Next.js frontend: agents explore assets, find vulnerabilities and re-test them. Supports asset sync from ScopeSentry, traffic recording, MCP and human-in-the-loop approvals.

- Magnitude: 3.7 out of 10 — Early signal
- Stars: 193 total · +48 stars measured 2026-10-12, 10:58–12:37 UTC, ≈ 71 by evening
- Star trust: star growth looks organic
- Category: Security · Language: Go · License: AGPL-3.0 · Created: 2026-10-08 · Last push: 2026-10-09
- GitHub: https://github.com/trhhubsd/ARTEXX · Homepage: https://artex-demo.vercel.app/ · Page: https://gitnova.dev/en/r/trhhubsd/ARTEXX

## Useful for

- Run an asset scan for a company via Docker Compose and track findings in the dashboard
- Sync domains and IPs from ScopeSentry and hand them to agents for exploration
- Set up re-testing of fixed vulnerabilities with a dedicated retester agent

## Why it’s here

- Star-counter measurements on 2026-10-12 (UTC), 10:58–12:37: 145 → 193 stars (+48). This is the change over that interval.
- Estimated end-of-day forecast: about +71 stars, using observed gains and the previous day.
- The repository is 4 days old and already has 193 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #136.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 10
- Issues and pull requests: 0
- Watchers: 1
- Average over the last week: 18 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 29

## Stars per day, last 5 days (oldest → newest, today is partial)

2026-10-08 … 2026-10-12: 2, 1, 11, 5, 48

## Spotted in now

- Top new repositories this week: #136

## Similar by description

1. **mhtsec/ARTEX** — 6.7 · Cooling · Security · Go · +338 stars measured 2026-10-12, 00:13–12:51 UTC, ≈ 570 by evening
   AI autonomous penetration testing system with a Go backend and Next.js frontend: agents explore assets and hunt for vulnerabilities, with traffic recording, human-in-the-loop approval, and asset sync from ScopeSentry.
   Full card: https://gitnova.dev/en/r/mhtsec/ARTEX.md
2. **sharenjun/ARTEX-main** — 2.0 · Cooling · Security · Go · +7 stars measured 2026-10-12, 00:13–12:42 UTC, ≈ 12 by evening
   AI autonomous penetration testing system with a Go backend and Next.js frontend: agents explore assets, call tools and require approval for risky actions.
   Full card: https://gitnova.dev/en/r/sharenjun/ARTEX-main.md
3. **Hinln/ARTEX** — 4.5 · Cooling · Security · Go · +39 stars measured 2026-10-12, 00:13–12:33 UTC, ≈ 71 by evening
   Autonomous AI-driven penetration testing system with a Go backend and Next.js frontend, where LLM agents explore assets, call tools and maintain a coverage map. Aimed at security specialists automating recon and testing.
   Full card: https://gitnova.dev/en/r/Hinln/ARTEX.md
4. **RuoJi6/ARTEX** — 3.6 · Early signal · Security · Go · +21 stars measured 2026-10-12, 00:13–12:35 UTC, ≈ 37 by evening
   An AI autonomous penetration testing system with a Go backend and Next.js frontend; it drives LLM-based agents to explore assets and run pentest tasks with human-in-the-loop approval. Maintained fork of Autumn-27/ARTEX distributed via…
   Full card: https://gitnova.dev/en/r/RuoJi6/ARTEX.md
5. **kutukam/autonomous-pentest-agent** — 2.6 · Cooling · Security · Go · +7 stars measured 2026-10-12, 00:13–12:38 UTC, ≈ 12 by evening
   LLM multi-agent autonomous penetration testing system with a Go backend and Next.js UI: agents explore assets, call tools and record traffic. Aimed at security engineers running authorized assessments.
   Full card: https://gitnova.dev/en/r/kutukam/autonomous-pentest-agent.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-12 12:52 UTC, updated every 30 minutes.