AI Infrastructure · PyPI

agentdojo

A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents

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Details

Author
Edoardo Debenedetti
GitHub profile
@ethz-spylab
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/ethz-spylab/agentdojo
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@ethz-spylab

Overview

A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents

Quick start

pip

pip install agentdojo

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agentdojo can do

agentllmllms
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Llms — llms task automation.

Frequently asked questions

What is agentdojo?
A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents
How do I install agentdojo?
Use pip: `pip install agentdojo`. Full setup details on the source page linked above.
Is agentdojo open source?
agentdojo is published on PyPI.
What are alternatives to agentdojo?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for agentdojo is sourced from PyPI, published by Edoardo Debenedetti.

Last scraped: · First indexed:

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