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thomasunise/argus

Open-source agentic security operations platform:

Latest metrics (snapshot 2026-10-28)

stars106
forks11
issues4
pushed_at2026-10-27T21:55:13Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-28106

ADC Momentum: 59/100

ADC Momentum 59 Leaderboard

Growth velocity64
Consistency51
Recency98
Agent demand0
Basisbootstrap

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

descriptionOpen-source agentic security operations platform:
urlhttps://github.com/thomasunise/argus
languagePython
licenseMIT
topicsagentic-ai
agentic-security
agentic-workflow
cyber-security
cyber-threat-intelligence
cybersecurity
cybersecurity-tools
penetration-testing
pentest
pentest-tool
pentesting
pentesting-tools
created_at2026-10-24T16:12:28Z
homepagehttps://thomasunise.com/argus

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