Comparison
agentdojo vs awesome-ai-agents-security
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.
Markdown twin · agentdojo alternatives · awesome-ai-agents-security alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentdojo | awesome-ai-agents-security |
|---|---|---|
| Maintenance | Steady (63d since push) As of 2w · github_public_v1 | Steady (58d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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.
Stars
- agentdojo
- 716
- awesome-ai-agents-security
- 59
Forks
- agentdojo
- 188
- awesome-ai-agents-security
- 74
Open issues
- agentdojo
- 41
- awesome-ai-agents-security
- 61
Language
- agentdojo
- Python
- awesome-ai-agents-security
- -
Adopt for
- agentdojo
- 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
- 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
- agentdojo
- -
- awesome-ai-agents-security
- -
Runtime
- agentdojo
- -
- awesome-ai-agents-security
- -
License
- agentdojo
- MIT
- awesome-ai-agents-security
- Other
Last pushed
- agentdojo
- Jun 2, 2026
- awesome-ai-agents-security
- Jun 12, 2026
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- awesome-ai-agents-security
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- agentdojo
- 63d
- awesome-ai-agents-security
- 58d
Open issues (now)
- agentdojo
- 41
- awesome-ai-agents-security
- 61
Full report
- agentdojo
- Trust report
- awesome-ai-agents-security
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ethz-spylab/agentdojo) · observed Aug 5, 2026
- GitHub forks (ethz-spylab/agentdojo) · observed Aug 5, 2026
- Last push (ethz-spylab/agentdojo) · observed Jun 2, 2026
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ProjectRecon/awesome-ai-agents-security) · observed Aug 9, 2026
- GitHub forks (ProjectRecon/awesome-ai-agents-security) · observed Aug 9, 2026
- Last push (ProjectRecon/awesome-ai-agents-security) · observed Jun 12, 2026
- License file (Other) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentdojo 716 · awesome-ai-agents-security 59 (synced Aug 5, 2026).
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 and awesome-ai-agents-security alternatives (agentdojo markdown twin, awesome-ai-agents-security 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 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; awesome-ai-agents-security trust report.