--- title: "agentdojo vs iFixAi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ethz-spylab-agentdojo-vs-ifixai-ai-ifixai" tools: ["ethz-spylab-agentdojo", "ifixai-ai-ifixai"] --- # agentdojo vs iFixAi *GraphCanon updated Aug 5, 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 iFixAi if iFixAi assesses AI models using 45 inspections for safety and alignment, returning grades in minutes. [agentdojo](https://agentdojo.spylab.ai/) reports 716 GitHub stars, 188 forks, and 41 open issues, last pushed Jun 2, 2026. [iFixAi](https://www.ifixai.ai) has 3.3k stars, 300 forks, and 0 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [agentdojo's repository](https://github.com/ethz-spylab/agentdojo) and [iFixAi's repository](https://github.com/ifixai-ai/iFixAi). | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [iFixAi](/tools/ifixai-ai-ifixai.md) | | --- | --- | --- | | Tagline | A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents | Tool for evaluating and grading AI models on safety and alignment metrics | | Stars | 716 | 3,272 | | Forks | 188 | 300 | | Open issues | 41 | 0 | | Language | Python | Python | | Adopt for | AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. | iFixAi assesses AI models using 45 inspections for safety and alignment, returning grades in minutes. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [iFixAi](/tools/ifixai-ai-ifixai.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 63d | 1d | | Open issues (now) | 41 | 0 | | Full report | [trust report](/tools/ethz-spylab-agentdojo/trust.md) | [trust report](/tools/ifixai-ai-ifixai/trust.md) | ## Shared compatibility - **Python**: [agentdojo](/tools/ethz-spylab-agentdojo.md) - Python runtime; [iFixAi](/tools/ifixai-ai-ifixai.md) - Python runtime ## 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: iFixAi - **Adopt for:** iFixAi assesses AI models using 45 inspections for safety and alignment, returning grades in minutes. ## Choose when ### Choose agentdojo if… - License: agentdojo is MIT, iFixAi is Apache-2.0. - 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. - 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. ### Choose iFixAi if… - License: iFixAi is Apache-2.0, agentdojo is MIT. - Tags unique to iFixAi: agent-evaluation, ai safety, ai-alignment, ai-evaluation. - You need a quick evaluation of an AI model's safety and alignment across industry standards ## 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 iFixAi - If real-time assessment is necessary since iFixAi takes up to five minutes to return results - When detailed customization of inspection criteria beyond predefined checks is required ## Common questions ### What is the difference between agentdojo and iFixAi? agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. iFixAi: Tool for evaluating and grading AI models on safety and alignment metrics. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentdojo over iFixAi? Choose agentdojo over iFixAi when License: agentdojo is MIT, iFixAi is Apache-2.0; 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; 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 iFixAi over agentdojo? Choose iFixAi over agentdojo when License: iFixAi is Apache-2.0, agentdojo is MIT; Tags unique to iFixAi: agent-evaluation, ai safety, ai-alignment, ai-evaluation; You need a quick evaluation of an AI model's safety and alignment across industry standards. ### 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 iFixAi? If real-time assessment is necessary since iFixAi takes up to five minutes to return results When detailed customization of inspection criteria beyond predefined checks is required ### Is agentdojo or iFixAi more popular on GitHub? iFixAi has more GitHub stars (3,272 vs 716). Stars measure visibility, not whether either tool fits your constraints. ### Are agentdojo and iFixAi open source? Yes - both are open-source projects on GitHub (agentdojo: MIT, iFixAi: Apache-2.0). ### Where can I find alternatives to agentdojo or iFixAi? GraphCanon lists graph-backed alternatives at [agentdojo alternatives](/tools/ethz-spylab-agentdojo/alternatives) and [iFixAi alternatives](/tools/ifixai-ai-ifixai/alternatives) ([agentdojo markdown twin](/tools/ethz-spylab-agentdojo/alternatives.md), [iFixAi markdown twin](/tools/ifixai-ai-ifixai/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-ifixai-ai-ifixai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentdojo or iFixAi? agentdojo: Steady. iFixAi: Very active. 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 iFixAi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentdojo trust report](/tools/ethz-spylab-agentdojo/trust); [iFixAi trust report](/tools/ifixai-ai-ifixai/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/_