Telefonica/AgentHound
BloodHound-style risk analysis for multi-agent AI architectures. Parses CrewAI, Dify, LangGraph, or generic YAML into a typed capability graph and detects reachable attack paths from untrusted input to sensitive data or external action, with live control simulation.
17
Stars
5
Forks
24.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact3.0
Velocity32.7
Health47.7
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
TypeScript
Why it ranks
Modest but positive momentum.
Top 92% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
AGPL-3.0
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
24.6
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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