Explore/framework/Dark-Moon
D

ASCIT31/Dark-MoonActive

Autonomous AI pentesting engine, continuous offensive security across web, cloud, identity, CI/CD, IaC, databases, Active Directory, Kubernetes and IoT firmware. Agentic reasoning plus real exploit execution deliver proof-based vulnerabilities. Privacy gateway: the LLM never sees your real IPs, hosts or creds, nothing leaves your perimeter.

frameworkPythonGPL-3.0
GitHubCompare
Refreshed 1h ago
OverviewActivity52wAlternativesDocs
Stars875
Forks151
HF Downloads30d
Last commit2d ago
Refreshed1h ago
Project healthActiveLast commit 2d ago.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesGPL-3.0Verify license before production use.
AgentHub Score
75 / 100
Composite score from 6 signals. How we score →
Active project
75Score
Growth
93A+
Activity
96A+
Documentation
70C+
Maturity
82B+
Community
92A
Production
58C
GitHub stars · 32 days observed875 +11.61% / 30d
snapshots
Repository activity · 32 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-28
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguagePython
LicenseGPL-3.0
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

75
Score 75/100
Above average

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