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dbx0/executioner

The agentic pentesting environment that lives on your machine. AI agent teams, visual workflows and your own tools, 100% local.

Latest metrics (snapshot 2026-11-07)

stars136
forks30
issues1
pushed_at2026-11-04T14:19:18Z

History

GitHub stars: 134 – 1362026-11-052026-11-07
DateGitHub stars
2026-11-07136
2026-11-06134
2026-11-05134

ADC Momentum: 40/100 (+16 since previous day)

ADC Momentum 40 Leaderboard

Growth velocity27
Consistency50
Recency88
Agent demand0
Basisarchive

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionThe agentic pentesting environment that lives on your machine. AI agent teams, visual workflows and your own tools, 100% local.
urlhttps://github.com/dbx0/executioner
languageTypeScript
licenseMIT
topicsai-agents
bug-bounty
electron
offensive-security
pentesting
recon
red-team
security
typescript
workflow-automation
created_at2026-10-19T03:33:09Z
homepagehttps://github.com/dbx0/executioner/releases/latest

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