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nebula — AI-powered penetration testing assistant that automates reconnaissance, vulnerability analysis, and note-taking via integrated LLMs and CLI tool orchestration. | Kitploit
도구/GitHubGitHub/berylliumsec/nebula
Penetration Testing FrameworksReconnaissanceVulnerability ScannersExploit FrameworksScripting & AutomationInformation GatheringRed TeamingAI Security
GitHubberylliumsec/nebula

nebula

AI-powered penetration testing assistant that automates reconnaissance, vulnerability analysis, and note-taking via integrated LLMs and CLI tool orchestration.

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Nebula Quiet Lens logo

Nebula

Cybersecurity harness built around the operator

Quiet Lens in an empty Nebula chat, revealing the separate navigation, Session rail, composer, and top menu on hover

Acknowledgement

First, I would like to thank Almighty God, who is the source of all knowledge. Without Him, this would not be possible.

Use Nebula only on systems and networks you own or are explicitly authorized to test.

Key features

  • One Project for the engagement. Keep assets, browser sessions, Kali terminals, code, files, notes, findings, and reports together.
  • Security browser and interception. Capture in-scope traffic in the desktop browser, intercept and edit requests, and use Repeater and Intruder for follow-up testing.
  • Bring your own skills. Add SKILL.md skills to a Project and select them in chat for assistant work.
  • Kali tools and optional VPN egress. Run container commands with Docker or Podman and route authorized container traffic through a Project-selected OpenVPN profile.
  • Operator-controlled automation. Set scope, approvals, and budgets for assistant and mission actions.
  • Evidence through reporting. Preserve hashed artifacts and execution provenance, link evidence to findings, and export reports or engagement bundles.

Butler

Nebula logo used to open Butler

Not sure how to get started? Ask Butler. Select the Nebula logo in the header or mobile navigation, then chat or start Voice.

With a configured model or harness, Butler can answer questions, review the selected project's chats and goals, start or steer work, and manage settings and approvals. It shows delegated work separately from main agents; to redirect a child, ask Butler to guide its parent agent.

Voice setup: GPT-Live requires a direct OpenAI API key. Add an enabled OpenAI provider with a key in Nebula Settings, or set OPENAI_API_KEY on the Nebula host. Nebula keeps the key on the host to start the voice session; your device then exchanges audio with OpenAI over WebRTC. Voice sessions incur OpenAI API charges. Butler can delegate work to a Codex harness, but Codex access does not provide the GPT-Live key. See OpenAI's GPT-Live WebRTC setup.

Voice pauses after 20 seconds of quiet by default; change this Core-wide timeout in Butler settings. Pausing ends the paid GPT-Live session, and Resume Voice starts a new one. Butler work already submitted continues in its saved chat.

Butler Voice in an illustrative Northstar API Review project: the listening orb moves as an operator asks it to start an authentication review, then Butler replies and the new assistant appears in Project work.

Illustrative sample project. This GIF is silent; Butler speaks in an active Voice session.

When a goal starts, Butler watches its supported progress events even if the panel is closed. The project can grant Watch, Steer, or specific Delegate actions. GPT-Live listens and speaks in Voice mode; the Core Butler runs the tools, owns the saved conversation and context compaction, and continues oversight while Voice is off. Voice does not yet speak unsolicited alerts. Separately, Butler checks relevant precedent before acting and keeps durable, selective memory of useful preferences, decisions, and lessons across projects. Open Memory in the Butler panel whenever you want to review, edit, or delete an entry.

A fresh Core data directory starts with empty Butler memory. Its SQLite records stay in that data directory across app updates, and the Chroma search index can be rebuilt from them.

Nebula architecture: a host runs Nebula, with optional independent Mercury controls. Butler directs main agents, which coordinate subagents. Operator-provided skills, hooks, and software extend agent work.

Work

Use Codex or Grok as harnesses, or connect Claude, OpenRouter, Ollama, or vLLM. Docker or Podman powers Kali and container-mode automation; Host mode uses the host's filesystem and network after explicit acknowledgement. Optional OpenVPN routes container traffic, while Mercury can add independent controls when enrolled.

Install

The Linux x86_64 preview is available through the signed APT repository or as a DEB or AppImage. Back up engagement data before upgrading.

From source

Install Python 3.11–3.13, Poetry 2.1.3, Node.js 20 with npm, Rust, and the Tauri prerequisites, then run:

git clone https://github.com/BerylliumSec/nebula.git
cd nebula
poetry install --with dev
poetry run playwright install chromium
npm --prefix ui ci
npm --prefix ui run dev:desktop

Documentation

Start with the Nebula 3 guide, system architecture, or usage scenarios. The documentation index groups setup, integrations, troubleshooting, technical reference, and release information.

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