Comparison
agentdojo vs Sponsio
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 Sponsio if sponsio offers deterministic safety measures for AI agents, focusing on runtime guardrails and observability features designed to secure and observe the behavior of probabilistic AI.
Markdown twin · agentdojo alternatives · Sponsio alternatives
GraphCanon updated Sep 11, 2026
vs
Trust & integrity
| Signal | agentdojo | Sponsio |
|---|---|---|
| Maintenance | Slowing (94d since push) As of Sep 5, 2026 · github_public_v1 | Very active (3d since push) As of Sep 11, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 5, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 19, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | No lockfile (source not queried) As of Aug 30, 2026 · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of Aug 16, 2026 · openssf-scorecard@v1 |
Tagline
- agentdojo
- A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- Sponsio
- Deterministic safety solutions for probabilistic AI agents
Stars
- agentdojo
- 802
- Sponsio
- 440
Forks
- agentdojo
- 205
- Sponsio
- 25
Open issues
- agentdojo
- 51
- Sponsio
- 5
Language
- agentdojo
- Python
- Sponsio
- 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.
- Sponsio
- Sponsio offers deterministic safety measures for AI agents, focusing on runtime guardrails and observability features designed to secure and observe the behavior of probabilistic AI.
Persona
- agentdojo
- -
- Sponsio
- -
Runtime
- agentdojo
- -
- Sponsio
- -
License
- agentdojo
- MIT
- Sponsio
- Apache-2.0 License allows for unrestricted modification and distribution of Sponsio in both open-source and commercial projects without any fees involved.
Last pushed
- agentdojo
- Jun 2, 2026
- Sponsio
- Sep 7, 2026
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- Sponsio
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentdojo
- Slowing (36%)
- Sponsio
- Very active (96%)
Days since push
- agentdojo
- 94d
- Sponsio
- 3d
Open issues (now)
- agentdojo
- 51
- Sponsio
- 5
Stars delta
- agentdojo
- +86 (30d)
- Sponsio
- -29 (30d)
Open issues delta
- agentdojo
- +10 (30d)
- Sponsio
- 0 (30d)
deps.dev advisories
- agentdojo
- Not queried
- Sponsio
- No lockfile (source not queried)
OpenSSF Scorecard
- agentdojo
- Not queried
- Sponsio
- No public record from this source
Full report
- agentdojo
- Trust report
- Sponsio
- Trust report
Shared compatibility
- Python · agentdojo: Python runtime · Sponsio: Python runtime
Choose agentdojo if…
- License: agentdojo is MIT, Sponsio 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.
- 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
- Last GitHub push was Jun 2, 2026 (slowing maintenance). Validate activity before betting a new project on 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 Sponsio if…
- License: Sponsio is Apache-2.0, agentdojo is MIT.
- Pricing: Open source under Apache-2.0 license, free to use and modify with options likely provided by the sponsors..
- Tags unique to Sponsio: agent-guardrails, agent-safety, agent-security, intent-verification.
- Use Sponsio if you need automatic enforcement mechanisms that are triggered at runtime by your AI agent's actions.
When NOT to use Sponsio
- Avoid using Sponsio if your project requires detailed customization of safety contracts at the drafting stage rather than runtime enforcement.
- Do not choose Sponsio if you prefer tools without built-in security measures for specific frameworks like OpenClaw, where manual control over integration is preferred.
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 Sep 5, 2026
- GitHub forks (ethz-spylab/agentdojo) · observed Sep 5, 2026
- Last push (ethz-spylab/agentdojo) · observed Jun 2, 2026
- License file (MIT) · observed Sep 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SponsioLabs/Sponsio) · observed Sep 11, 2026
- GitHub forks (SponsioLabs/Sponsio) · observed Sep 11, 2026
- Last push (SponsioLabs/Sponsio) · observed Sep 7, 2026
- License file (Apache-2.0) · observed Sep 11, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 19, 2026
GitHub stars on cards: agentdojo 802 · Sponsio 440 (synced Sep 5, 2026).
Common questions
- What is the difference between agentdojo and Sponsio?
- agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. Sponsio: Deterministic safety solutions for probabilistic AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentdojo over Sponsio?
- Choose agentdojo over Sponsio when License: agentdojo is MIT, Sponsio 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; 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 Sponsio over agentdojo?
- Choose Sponsio over agentdojo when License: Sponsio is Apache-2.0, agentdojo is MIT; Pricing: Open source under Apache-2.0 license, free to use and modify with options likely provided by the sponsors.; Tags unique to Sponsio: agent-guardrails, agent-safety, agent-security, intent-verification; Use Sponsio if you need automatic enforcement mechanisms that are triggered at runtime by your AI agent's actions.
- When should I avoid agentdojo?
- Last GitHub push was Jun 2, 2026 (slowing maintenance). Validate activity before betting a new project on 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 Sponsio?
- Avoid using Sponsio if your project requires detailed customization of safety contracts at the drafting stage rather than runtime enforcement. Do not choose Sponsio if you prefer tools without built-in security measures for specific frameworks like OpenClaw, where manual control over integration is preferred.
- Is agentdojo or Sponsio more popular on GitHub?
- agentdojo has more GitHub stars (802 vs 440). Stars measure visibility, not whether either tool fits your constraints.
- Are agentdojo and Sponsio open source?
- Yes - both are open-source projects on GitHub (agentdojo: MIT, Sponsio: Apache-2.0).
- Where can I find alternatives to agentdojo or Sponsio?
- GraphCanon lists graph-backed alternatives at agentdojo alternatives and Sponsio alternatives (agentdojo markdown twin, Sponsio 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 Sponsio?
- agentdojo: Slowing. Sponsio: 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 Sponsio?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentdojo trust report; Sponsio trust report.