https://github.com/ethz-spylab/agentdojo

A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.
https://github.com/ethz-spylab/agentdojo

benchmark large-language-models prompt-injection security

Last synced: 6 months ago
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A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.

• Host: GitHub
• URL: https://github.com/ethz-spylab/agentdojo
• Owner: ethz-spylab
• License: mit
• Created: 2024-02-29T10:47:28.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-08-09T19:10:24.000Z (6 months ago)
• Last Synced: 2025-08-09T19:22:31.519Z (6 months ago)
• Topics: benchmark, large-language-models, prompt-injection, security
• Language: Python
• Homepage: https://agentdojo.spylab.ai/
• Size: 47.6 MB
• Stars: 231
• Watchers: 4
• Forks: 56
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Citation: CITATION.bib

Awesome Lists containing this project

• awesome-ai-security - AgentDojo - _A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents._ (Offensive tools and frameworks / LLM)