# bluechips-zhao/DITING > LLM-driven autonomous penetration testing workbench built with Go, Next.js and PostgreSQL, based on ARTEX. Aimed at security professionals testing only authorized targets. - Magnitude: 5.0 out of 10 — Early signal - Stars: 93 total · +3 stars measured 2026-10-16, 00:05–01:30 UTC, ≈ 82 by evening - Star trust: star growth looks organic - Category: Security · Language: Go · License: AGPL-3.0 · Created: 2026-10-11 · Last push: 2026-10-15 - GitHub: https://github.com/bluechips-zhao/DITING · Page: https://gitnova.dev/en/r/bluechips-zhao/DITING ## Useful for - Run multi-agent pentest tasks with planning and execution agents - Configure token budgets and tool interception rules to control scanning - Export traffic and evidence as HAR, CSV or versioned reports ## Why it’s here - Star-counter measurements on 2026-10-16 (UTC), 00:05–01:30: 90 → 93 stars (+3). This is the change over that interval. - Estimated end-of-day forecast: about +82 stars, using observed gains and the previous day. - The repository is 5 days old and already has 93 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #176. - About 11 forks a day — people are taking the code. ## 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: 7 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 29 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 2 - Latest release: v2.4.0 (2026-10-15) ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-11 … 2026-10-16: 0, 0, 0, 5, 88, 3 ## Spotted in now - Top new repositories this week: #176 ## Similar by description 1. **Hinln/ARTEX** — 1.4 · Cooling · Security · Go · +0 stars measured 2026-10-16, 00:12–01:37 UTC, ≈ 5 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 2. **kutukam/autonomous-pentest-agent** — 0.9 · Cooling · Security · Go · +0 stars measured 2026-10-16, 00:13–01:39 UTC, ≈ 1 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 3. **cskwork/scopeweaver** — 2.5 · Cooling · Security · Go · +3 stars measured 2026-10-16, 00:06–01:34 UTC, ≈ 23 by evening An LLM multi-agent autonomous penetration-testing system (Go backend + Next.js frontend), a derivative of ARTEX with English and Korean localization. Intended for security testing only against systems you own or are explicitly authorized… Full card: https://gitnova.dev/en/r/cskwork/scopeweaver.md 4. **jiwoochris/artex-global** — 2.7 · Cooling · Security · Go · +5 stars measured 2026-10-16, 00:08–01:33 UTC, ≈ 46 by evening Korean-localized edition of ARTEX, an autonomous penetration-testing framework driven by multi-agent LLMs (Go backend + Next.js) that plans and executes attack steps on its own. Aimed at security practitioners studying and defending… Full card: https://gitnova.dev/en/r/jiwoochris/artex-global.md 5. **sharenjun/ARTEX-main** — 0.1 · Cooling · Security · Go · +0 stars measured 2026-10-16, 00:15–01:41 UTC, ≈ 0 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 --- 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 2026-10-16 01:42 UTC, updated every 30 minutes.