--- title: "agentdojo vs Sponsio" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ethz-spylab-agentdojo-vs-sponsiolabs-sponsio" tools: ["ethz-spylab-agentdojo", "sponsiolabs-sponsio"] --- # agentdojo vs Sponsio *GraphCanon updated Sep 20, 2026* ## 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. [agentdojo](https://agentdojo.spylab.ai/) reports 802 GitHub stars, 205 forks, and 51 open issues, last pushed Jun 2, 2026. [Sponsio](https://sponsio.dev/) has 440 stars, 25 forks, and 5 open issues, last pushed Sep 7, 2026. Figures are from public GitHub metadata via [agentdojo's repository](https://github.com/ethz-spylab/agentdojo) and [Sponsio's repository](https://github.com/SponsioLabs/Sponsio). | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [Sponsio](/tools/sponsiolabs-sponsio.md) | | --- | --- | --- | | Tagline | A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents | Deterministic safety solutions for probabilistic AI agents | | Stars | 802 | 440 | | Forks | 205 | 25 | | Open issues | 51 | 5 | | 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. | 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 | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 License allows for unrestricted modification and distribution of Sponsio in both open-source and commercial projects without any fees involved. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [Sponsio](/tools/sponsiolabs-sponsio.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 94d | 3d | | Open issues (now) | 51 | 5 | | Stars delta | +86 (30d) | -29 (30d) | | Open issues delta | +10 (30d) | 0 (30d) | | Full report | [trust report](/tools/ethz-spylab-agentdojo/trust.md) | [trust report](/tools/sponsiolabs-sponsio/trust.md) | ## Shared compatibility - **Python**: [agentdojo](/tools/ethz-spylab-agentdojo.md) - Python runtime; [Sponsio](/tools/sponsiolabs-sponsio.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. ## Decision facts: Sponsio - **Pricing:** freemium - Open source under Apache-2.0 license, free to use and modify with options likely provided by the sponsors. - **Adopt for:** 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. - **License detail:** Apache-2.0 License allows for unrestricted modification and distribution of Sponsio in both open-source and commercial projects without any fees involved. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/ethz-spylab-agentdojo/alternatives) and [Sponsio alternatives](/tools/sponsiolabs-sponsio/alternatives) ([agentdojo markdown twin](/tools/ethz-spylab-agentdojo/alternatives.md), [Sponsio markdown twin](/tools/sponsiolabs-sponsio/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-sponsiolabs-sponsio.md) 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](/tools/ethz-spylab-agentdojo/trust); [Sponsio trust report](/tools/sponsiolabs-sponsio/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/_