--- title: "agentdojo vs awesome-ai-agents-security" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ethz-spylab-agentdojo-vs-projectrecon-awesome-ai-agents-security" tools: ["ethz-spylab-agentdojo", "projectrecon-awesome-ai-agents-security"] --- # agentdojo vs awesome-ai-agents-security *GraphCanon updated Aug 9, 2026* ## Verdict Pick agentdojo if agentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents; pick awesome-ai-agents-security if awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection. [agentdojo](https://agentdojo.spylab.ai/) reports 716 GitHub stars, 188 forks, and 41 open issues, last pushed Jun 2, 2026. [awesome-ai-agents-security](https://github.com/ProjectRecon/awesome-ai-agents-security) has 59 stars, 74 forks, and 61 open issues, last pushed Jun 12, 2026. Figures are from public GitHub metadata via [agentdojo's repository](https://github.com/ethz-spylab/agentdojo) and [awesome-ai-agents-security's repository](https://github.com/ProjectRecon/awesome-ai-agents-security). | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Tagline | A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents | A curated list of open-source tools and resources for securing autonomous AI agents. | | Stars | 716 | 59 | | Forks | 188 | 74 | | Open issues | 41 | 61 | | Language | Python | - | | Adopt for | AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. | awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Days since push | 63d | 58d | | Open issues (now) | 41 | 61 | | Full report | [trust report](/tools/ethz-spylab-agentdojo/trust.md) | [trust report](/tools/projectrecon-awesome-ai-agents-security/trust.md) | ## Decision facts: agentdojo - **Pricing:** freemium - Open-source under the MIT License. Some advanced features might require additional libraries or APIs. - **Requirements:** Min 8 GB RAM - **Adopt for:** AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. ## Decision facts: awesome-ai-agents-security - **Adopt for:** awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection. ## Choose when ### Choose agentdojo if… - License: agentdojo is MIT, awesome-ai-agents-security is Other. - 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, large language models, prompt-injection, security. - AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. ### Choose awesome-ai-agents-security if… - License: awesome-ai-agents-security is Other, agentdojo is MIT. - Tags unique to awesome-ai-agents-security: ai-agents, ai-security, autonomous-agents, awesome-list. - When needing a comprehensive overview of open-source tools for securing autonomous AI agents across different phases such as red teaming and runtime protection ## When NOT to use 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 NOT to use awesome-ai-agents-security - When you require real-time threat intelligence feeds, which are not provided by this repository's static resource lists - For organizations focusing on proprietary tools and resources that prefer not to use open-source solutions for their AI agents' security lifecycle management ## Common questions ### What is the difference between agentdojo and awesome-ai-agents-security? agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. awesome-ai-agents-security: A curated list of open-source tools and resources for securing autonomous AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentdojo over awesome-ai-agents-security? Choose agentdojo over awesome-ai-agents-security when License: agentdojo is MIT, awesome-ai-agents-security is Other; 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, large language models, prompt-injection, security; 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 awesome-ai-agents-security over agentdojo? Choose awesome-ai-agents-security over agentdojo when License: awesome-ai-agents-security is Other, agentdojo is MIT; Tags unique to awesome-ai-agents-security: ai-agents, ai-security, autonomous-agents, awesome-list; When needing a comprehensive overview of open-source tools for securing autonomous AI agents across different phases such as red teaming and runtime protection. ### When should I avoid 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 awesome-ai-agents-security? When you require real-time threat intelligence feeds, which are not provided by this repository's static resource lists For organizations focusing on proprietary tools and resources that prefer not to use open-source solutions for their AI agents' security lifecycle management ### Is agentdojo or awesome-ai-agents-security more popular on GitHub? agentdojo has more GitHub stars (716 vs 59). Stars measure visibility, not whether either tool fits your constraints. ### Are agentdojo and awesome-ai-agents-security open source? Yes - both are open-source projects on GitHub (agentdojo: MIT, awesome-ai-agents-security: Other). ### Where can I find alternatives to agentdojo or awesome-ai-agents-security? GraphCanon lists graph-backed alternatives at [agentdojo alternatives](/tools/ethz-spylab-agentdojo/alternatives) and [awesome-ai-agents-security alternatives](/tools/projectrecon-awesome-ai-agents-security/alternatives) ([agentdojo markdown twin](/tools/ethz-spylab-agentdojo/alternatives.md), [awesome-ai-agents-security markdown twin](/tools/projectrecon-awesome-ai-agents-security/alternatives.md)), 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](/compare/ethz-spylab-agentdojo-vs-projectrecon-awesome-ai-agents-security.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentdojo or awesome-ai-agents-security? agentdojo: Steady. awesome-ai-agents-security: Steady. 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 awesome-ai-agents-security? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentdojo trust report](/tools/ethz-spylab-agentdojo/trust); [awesome-ai-agents-security trust report](/tools/projectrecon-awesome-ai-agents-security/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ethz-spylab-agentdojo`](/api/graphcanon/graph?tool=ethz-spylab-agentdojo) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_