agentdojo vs llm-guard

Common questions

What is the difference between agentdojo and llm-guard?

agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. llm-guard: The Security Toolkit for LLM Interactions. See the comparison table for live GitHub stats and shared categories.

When should I choose agentdojo over llm-guard?

Choose agentdojo over llm-guard when Pricing: Open-source under the MIT License. Some advanced features might require additional libraries or APIs.; Requirements: Min 8 GB RAM; Tags unique to agentdojo: benchmark, security; Also covers AI Agents; AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.

When should I choose llm-guard over agentdojo?

Choose llm-guard over agentdojo when Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.; Tags unique to llm-guard: adversarial-machine-learning, chatgpt, llm-security, prompt-engineering; Also covers Developer Tools; - You need to secure your application from sophisticated prompt injection techniques.

When should I avoid agentdojo?

Last GitHub push was Jun 2, 2026 (slowing maintenance). Validate activity before betting a new project on agentdojo. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

When should I avoid llm-guard?

- If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary. - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.

Is agentdojo or llm-guard more popular on GitHub?

llm-guard has more GitHub stars (3,213 vs 893). Stars measure visibility, not whether either tool fits your constraints.

Are agentdojo and llm-guard open source?

Yes - both are open-source projects on GitHub (agentdojo: MIT, llm-guard: MIT).

Where can I find alternatives to agentdojo or llm-guard?

GraphCanon lists graph-backed alternatives at agentdojo alternatives and llm-guard alternatives (agentdojo markdown twin, llm-guard markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, agentdojo or llm-guard?

agentdojo: Slowing. llm-guard: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for agentdojo and llm-guard?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentdojo trust report; llm-guard trust report.