Comparison
agentdojo vs virtual-prompt-injection
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.
Markdown twin · agentdojo alternatives · virtual-prompt-injection alternatives
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Trust & integrity
| Signal | agentdojo | virtual-prompt-injection |
|---|---|---|
| Maintenance | Steady (39d since push) As of today · github_public_v1 | Dormant (735d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- 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.
Stars
- agentdojo
- 659
- virtual-prompt-injection
- 27
Forks
- agentdojo
- 168
- virtual-prompt-injection
- 1
Open issues
- agentdojo
- 33
- virtual-prompt-injection
- 0
Language
- agentdojo
- Python
- virtual-prompt-injection
- Python
Adopt for
- agentdojo
- AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
- virtual-prompt-injection
- -
Persona
- agentdojo
- -
- virtual-prompt-injection
- -
Runtime
- agentdojo
- -
- virtual-prompt-injection
- -
License
- agentdojo
- MIT
- virtual-prompt-injection
- -
Last pushed
- agentdojo
- Jun 2, 2026
- virtual-prompt-injection
- Jul 6, 2024
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- virtual-prompt-injection
- LLM Frameworks, Evaluation & Observability
Trust and health
Maintenance
- agentdojo
- Steady (60%)
- virtual-prompt-injection
- Dormant (18%)
Days since push
- agentdojo
- 39d
- virtual-prompt-injection
- 735d
Open issues (now)
- agentdojo
- 33
- virtual-prompt-injection
- 0
Owner type
- agentdojo
- Organization
- virtual-prompt-injection
- User
Full report
- agentdojo
- Trust report
- virtual-prompt-injection
- Trust report
Shared compatibility
- Python · agentdojo: Python runtime · virtual-prompt-injection: Python runtime
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.
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 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 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.
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 Jul 11, 2026
- GitHub forks (ethz-spylab/agentdojo) · observed Jul 11, 2026
- Last push (ethz-spylab/agentdojo) · observed Jun 2, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wegodev2/virtual-prompt-injection) · observed Jul 11, 2026
- GitHub forks (wegodev2/virtual-prompt-injection) · observed Jul 11, 2026
- Last push (wegodev2/virtual-prompt-injection) · observed Jul 6, 2024
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentdojo 659 · virtual-prompt-injection 27 (synced Jul 11, 2026).
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 and virtual-prompt-injection alternatives (agentdojo markdown twin, virtual-prompt-injection 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 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; virtual-prompt-injection trust report.