Comparison
agentdojo vs BIPIA
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 BIPIA if bIPIA, developed by Microsoft, is a benchmarking tool designed to assess the robustness and security of Large Language Models (LLMs) against indirect prompt injection attacks.
Markdown twin · agentdojo alternatives · BIPIA alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | agentdojo | BIPIA |
|---|---|---|
| Maintenance | Steady (63d since push) As of 3w · github_public_v1 | Dormant (842d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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 | No lockfile (source not queried) As of 2w · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of 3w · openssf-scorecard@v1 |
Tagline
- agentdojo
- A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- BIPIA
- Benchmark for evaluating LLM robustness to indirect prompt injection attacks.
Stars
- agentdojo
- 716
- BIPIA
- 149
Forks
- agentdojo
- 188
- BIPIA
- 19
Open issues
- agentdojo
- 41
- BIPIA
- 4
Language
- agentdojo
- Python
- BIPIA
- 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.
- BIPIA
- BIPIA, developed by Microsoft, is a benchmarking tool designed to assess the robustness and security of Large Language Models (LLMs) against indirect prompt injection attacks.
Persona
- agentdojo
- -
- BIPIA
- -
Runtime
- agentdojo
- -
- BIPIA
- -
License
- agentdojo
- MIT
- BIPIA
- Other
Last pushed
- agentdojo
- Jun 2, 2026
- BIPIA
- Apr 15, 2024
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- BIPIA
- Evaluation & Observability
Trust and health
Maintenance
- agentdojo
- Steady (60%)
- BIPIA
- Dormant (18%)
Days since push
- agentdojo
- 63d
- BIPIA
- 842d
Open issues (now)
- agentdojo
- 41
- BIPIA
- 4
deps.dev advisories
- agentdojo
- Not queried
- BIPIA
- No lockfile (source not queried)
OpenSSF Scorecard
- agentdojo
- Not queried
- BIPIA
- No public record from this source
Full report
- agentdojo
- Trust report
- BIPIA
- Trust report
Shared compatibility
- Python · agentdojo: Python runtime · BIPIA: Python runtime
Choose agentdojo if…
- License: agentdojo is MIT, BIPIA 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.
- 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 BIPIA if…
- License: BIPIA is Other, agentdojo is MIT.
- Requirements: For API-based model experiments (like GPT), no GPU is needed but an account's API key must be set up.; For open-source models of 13B or below, test on a machine with at least 2 V100 GPUs. For larger models over 13B, 4-8 V100 GPUs are required..
- Tags unique to BIPIA: indirect-prompt-injection-attacks, llm security, microsoft-research, python library.
- Use BIPIA when you need to evaluate your LLM's resilience specifically to indirect prompt injection attacks, a niche but critical type of adversarial attack.
When NOT to use BIPIA
- Avoid BIPIA if your primary focus is on general security enhancements without a particular emphasis on indirect prompt injection attacks.
- Not recommended for users who primarily operate outside a Linux environment, specifically Ubuntu 20.04.6, as it can significantly affect compatibility and performance.
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 (microsoft/BIPIA) · observed Aug 5, 2026
- GitHub forks (microsoft/BIPIA) · observed Aug 5, 2026
- Last push (microsoft/BIPIA) · observed Apr 15, 2024
- License file (Other) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentdojo 716 · BIPIA 149 (synced Aug 5, 2026).
Common questions
- What is the difference between agentdojo and BIPIA?
- agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. BIPIA: Benchmark for evaluating LLM robustness to indirect prompt injection attacks.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentdojo over BIPIA?
- Choose agentdojo over BIPIA when License: agentdojo is MIT, BIPIA 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; 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 BIPIA over agentdojo?
- Choose BIPIA over agentdojo when License: BIPIA is Other, agentdojo is MIT; Requirements: For API-based model experiments (like GPT), no GPU is needed but an account's API key must be set up.; For open-source models of 13B or below, test on a machine with at least 2 V100 GPUs. For larger models over 13B, 4-8 V100 GPUs are required.; Tags unique to BIPIA: indirect-prompt-injection-attacks, llm security, microsoft-research, python library; Use BIPIA when you need to evaluate your LLM's resilience specifically to indirect prompt injection attacks, a niche but critical type of adversarial attack.
- 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 BIPIA?
- Avoid BIPIA if your primary focus is on general security enhancements without a particular emphasis on indirect prompt injection attacks. Not recommended for users who primarily operate outside a Linux environment, specifically Ubuntu 20.04.6, as it can significantly affect compatibility and performance.
- Is agentdojo or BIPIA more popular on GitHub?
- agentdojo has more GitHub stars (716 vs 149). Stars measure visibility, not whether either tool fits your constraints.
- Are agentdojo and BIPIA open source?
- Yes - both are open-source projects on GitHub (agentdojo: MIT, BIPIA: Other).
- Where can I find alternatives to agentdojo or BIPIA?
- GraphCanon lists graph-backed alternatives at agentdojo alternatives and BIPIA alternatives (agentdojo markdown twin, BIPIA 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 BIPIA?
- agentdojo: Steady. BIPIA: 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 BIPIA?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentdojo trust report; BIPIA trust report.