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ethz-spylab/agentdojo

A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.

PythonMITGeringe Aktivität · Vor 159T gepusht#benchmark#large-language-models#prompt-injection#security
Bestplatzierung
#126
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DokumentationAuf GitHub öffnen
Sterne
998
Forks
277
Issues
101
Tägliche Sterne
—
Tage alt
1d
Meilensteine #126
6-Axis Combat Radar

Combat Limits & Architectural Persona

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Architectural Persona
High-Adoption Ecosystem Core
Substantial fork ratio reflecting heavy downstream adaptation
Combat Score
54
/ 100
7-Day Star Velocity
0
Fork/Star Adoption
27.8%

Kumulierte Sterne

Next Milestone: 1k (2 stars to go)
2026-11-07: 998

Platzierungsverlauf

Bestplatzierung: #121
2026-11-08: #126 on milestone
#1#66#130

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