A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.
Test and evaluate different attacks and defenses for AI language models.
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agentdojo has 780 stars on GitHub. It has been forked 200 times. agentdojo is written mainly in Python. It has been in active development since 2024. agentdojo is available under the MIT license. Its main topics are benchmark, large-language-models, prompt-injection, security.
A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.
agentdojo is an open-source project. It is released under the MIT license.
Yes. agentdojo is free and open source — you can use, modify and self-host it.
agentdojo is available under the MIT license.
agentdojo is written mainly in Python.
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