--- title: "agentdojo vs virtual-prompt-injection" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ethz-spylab-agentdojo-vs-wegodev2-virtual-prompt-injection" tools: ["ethz-spylab-agentdojo", "wegodev2-virtual-prompt-injection"] --- # agentdojo vs virtual-prompt-injection *GraphCanon updated Jul 12, 2026* ## Verdict Pick agentdojo when pricing: Open-source under the MIT License. Some advanced features might require additional libraries or APIs.; pick virtual-prompt-injection when tags unique to virtual-prompt-injection: backdoor attack, model behavior manipulation, data poisoning, instruction-tuned large language models. [agentdojo](https://agentdojo.spylab.ai/) reports 659 GitHub stars, 168 forks, and 33 open issues, last pushed Jun 2, 2026. [virtual-prompt-injection](https://github.com/wegodev2/virtual-prompt-injection) has 27 stars, 1 forks, and 0 open issues, last pushed Jul 6, 2024. Figures are from public GitHub metadata via [agentdojo's repository](https://github.com/ethz-spylab/agentdojo) and [virtual-prompt-injection's repository](https://github.com/wegodev2/virtual-prompt-injection). | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [virtual-prompt-injection](/tools/wegodev2-virtual-prompt-injection.md) | | --- | --- | --- | | Tagline | A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents | Backdooring instruction-tuned large language models using virtual prompt injection techniques. | | Stars | 659 | 27 | | Forks | 168 | 1 | | Open issues | 33 | 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. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Evaluation & Observability | LLM Frameworks, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [virtual-prompt-injection](/tools/wegodev2-virtual-prompt-injection.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 39d | 735d | | Open issues (now) | 33 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/ethz-spylab-agentdojo/trust.md) | [trust report](/tools/wegodev2-virtual-prompt-injection/trust.md) | ## Shared compatibility - **Python**: [agentdojo](/tools/ethz-spylab-agentdojo.md) - Python runtime; [virtual-prompt-injection](/tools/wegodev2-virtual-prompt-injection.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. ## Choose when ### Choose agentdojo if… - 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: prompt-injection, benchmark, large-language-models, 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 virtual-prompt-injection if… - Tags unique to virtual-prompt-injection: backdoor attack, model behavior manipulation, data poisoning, instruction-tuned large language models. - Also covers LLM Frameworks. - Leaner open-issue backlog (0). ## 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 virtual-prompt-injection - Last GitHub push was 735 days ago (dormant maintenance, Jul 6, 2024). Validate activity before betting a new project on virtual-prompt-injection. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between agentdojo and virtual-prompt-injection? agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. virtual-prompt-injection: Backdooring instruction-tuned large language models using virtual prompt injection techniques.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentdojo over virtual-prompt-injection? Choose agentdojo over virtual-prompt-injection 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: prompt-injection, benchmark, large-language-models, 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 virtual-prompt-injection over agentdojo? Choose virtual-prompt-injection over agentdojo when Tags unique to virtual-prompt-injection: backdoor attack, model behavior manipulation, data poisoning, instruction-tuned large language models; Also covers LLM Frameworks; Leaner open-issue backlog (0). ### 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 virtual-prompt-injection? Last GitHub push was 735 days ago (dormant maintenance, Jul 6, 2024). Validate activity before betting a new project on virtual-prompt-injection. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is agentdojo or virtual-prompt-injection more popular on GitHub? agentdojo has more GitHub stars (659 vs 27). Stars measure visibility, not whether either tool fits your constraints. ### Are agentdojo and virtual-prompt-injection open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to agentdojo or virtual-prompt-injection? GraphCanon lists graph-backed alternatives at [agentdojo alternatives](/tools/ethz-spylab-agentdojo/alternatives) and [virtual-prompt-injection alternatives](/tools/wegodev2-virtual-prompt-injection/alternatives) ([agentdojo markdown twin](/tools/ethz-spylab-agentdojo/alternatives.md), [virtual-prompt-injection markdown twin](/tools/wegodev2-virtual-prompt-injection/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-wegodev2-virtual-prompt-injection.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentdojo or virtual-prompt-injection? agentdojo: Steady. virtual-prompt-injection: Dormant. 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 virtual-prompt-injection? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentdojo trust report](/tools/ethz-spylab-agentdojo/trust); [virtual-prompt-injection trust report](/tools/wegodev2-virtual-prompt-injection/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/_