LibreAI / Local LLM / Dark-Moon
// local-llm Β· ASCIT31/Dark-Moon

Dark-Moon

Autonomous AI pentesting with 50 specialist agents on a local LLM.

πŸ’Ž Hidden gemβ˜… 992 starsβ‘‚ 166 forksGPL-3.0updated 2026-10
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

Dark-Moon is an open-source local llm project by ASCIT31 (ASCIT31/Dark-Moon on GitHub). It has 992 GitHub stars and 166 forks, is released under the GPL-3.0 license, and was last updated on GitHub on 1 October 2026.

GitHub stars
992
Forks
166
License
GPL-3.0
Last updated on GitHub
1 October 2026
Category
Local LLM
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Deploy Dark-Moon

    Set it up with a local LLM behind the gateway.

  2. Scope the target

    Define the systems you are authorized to test.

  3. Launch agents

    50 specialists probe their domains.

  4. Review findings

    Triage results in your existing tooling.

// features

Why people love it

50 specialist agents

Coverage across web, cloud, AD, K8s, and more.

Local LLM

Testing intelligence stays on your hardware.

Privacy gateway

Controls what the models can reach.

OWASP LLM Top 10

Includes AI-specific security testing.

Deep integrations

GitHub, Jenkins, Grafana, Splunk, and more.

Autonomous

Runs assessments without hand-holding.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/ASCIT31/Dark-Moon.git
    cd Dark-Moon
  2. Step 2 β€” Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 β€” Run it

    Follow the project's launch command β€” Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Is Dark-Moon legal to use?

Only on systems you own or have explicit authorization to test.

What does GPL-3.0 mean for me?

Commercial use is allowed, but distributed modifications must stay open.

Why a local LLM?

It keeps sensitive findings off third-party clouds.

Which tools does it integrate with?

GitHub, GitLab, Jenkins, VS Code, JetBrains, n8n, Grafana, Splunk.

Can it replace human pentesters?

It automates coverage; skilled humans are still needed for judgment.

// keep exploring

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// alternatives

Alternatives in Local LLM

The most-starred other Local LLM projects in the LibreAI catalogue β€” the realistic shortlist if Dark-Moon is not the right fit.

Get Dark-Moon

Free and open β€” grab the source, star the repo, and start creating.