Comparison
agentdojo vs fast-llm-security-guardrails
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 fast-llm-security-guardrails if fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.
Markdown twin · agentdojo alternatives · fast-llm-security-guardrails alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentdojo | fast-llm-security-guardrails |
|---|---|---|
| Maintenance | Steady (63d since push) As of 2w · github_public_v1 | Slowing (187d 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 | Published findings 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
- fast-llm-security-guardrails
- The fastest Trust Layer for AI Agents
Stars
- agentdojo
- 716
- fast-llm-security-guardrails
- 154
Forks
- agentdojo
- 188
- fast-llm-security-guardrails
- 21
Open issues
- agentdojo
- 41
- fast-llm-security-guardrails
- 0
Language
- agentdojo
- Python
- fast-llm-security-guardrails
- 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.
- fast-llm-security-guardrails
- fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.
Persona
- agentdojo
- -
- fast-llm-security-guardrails
- -
Runtime
- agentdojo
- -
- fast-llm-security-guardrails
- -
License
- agentdojo
- MIT
- fast-llm-security-guardrails
- MIT
Last pushed
- agentdojo
- Jun 2, 2026
- fast-llm-security-guardrails
- Feb 3, 2026
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- fast-llm-security-guardrails
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentdojo
- Steady (60%)
- fast-llm-security-guardrails
- Slowing (36%)
Days since push
- agentdojo
- 63d
- fast-llm-security-guardrails
- 187d
Open issues (now)
- agentdojo
- 41
- fast-llm-security-guardrails
- 0
OSV dependency advisories
- agentdojo
- No lockfile (source not queried)
- fast-llm-security-guardrails
- Published findings
Full report
- agentdojo
- Trust report
- fast-llm-security-guardrails
- Trust report
Shared compatibility
- Python · agentdojo: Python runtime · fast-llm-security-guardrails: 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: 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 fast-llm-security-guardrails if…
- Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime.
- Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.
- Leaner open-issue backlog (0).
When NOT to use fast-llm-security-guardrails
- If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations.
- For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.
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 (ZenGuard-AI/fast-llm-security-guardrails) · observed Aug 10, 2026
- GitHub forks (ZenGuard-AI/fast-llm-security-guardrails) · observed Aug 10, 2026
- Last push (ZenGuard-AI/fast-llm-security-guardrails) · observed Feb 3, 2026
- License file (MIT) · observed Aug 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentdojo 716 · fast-llm-security-guardrails 154 (synced Aug 5, 2026).
Common questions
- What is the difference between agentdojo and fast-llm-security-guardrails?
- agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. fast-llm-security-guardrails: The fastest Trust Layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentdojo over fast-llm-security-guardrails?
- Choose agentdojo over fast-llm-security-guardrails 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: 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 fast-llm-security-guardrails over agentdojo?
- Choose fast-llm-security-guardrails over agentdojo when Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime; Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical; 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 fast-llm-security-guardrails?
- If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations. For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.
- Is agentdojo or fast-llm-security-guardrails more popular on GitHub?
- agentdojo has more GitHub stars (716 vs 154). Stars measure visibility, not whether either tool fits your constraints.
- Are agentdojo and fast-llm-security-guardrails open source?
- Yes - both are open-source projects on GitHub (agentdojo: MIT, fast-llm-security-guardrails: MIT).
- Where can I find alternatives to agentdojo or fast-llm-security-guardrails?
- GraphCanon lists graph-backed alternatives at agentdojo alternatives and fast-llm-security-guardrails alternatives (agentdojo markdown twin, fast-llm-security-guardrails 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 fast-llm-security-guardrails?
- agentdojo: Steady. fast-llm-security-guardrails: Slowing. 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 fast-llm-security-guardrails?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentdojo trust report; fast-llm-security-guardrails trust report.