--- title: "agentdojo vs agent-starter-pack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ethz-spylab-agentdojo-vs-googlecloudplatform-agent-starter-pack" tools: ["ethz-spylab-agentdojo", "googlecloudplatform-agent-starter-pack"] --- # agentdojo vs agent-starter-pack *GraphCanon updated Jul 12, 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 agent-starter-pack if agent-starter-pack is a specialized toolset for deploying AI agents on the Google Cloud Platform with built-in CI/CD, evaluation tools, and observability features. [agentdojo](https://agentdojo.spylab.ai/) reports 659 GitHub stars, 168 forks, and 33 open issues, last pushed Jun 2, 2026. [agent-starter-pack](http://goo.gle/agents-cli) has 6.5k stars, 1.5k forks, and 48 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [agentdojo's repository](https://github.com/ethz-spylab/agentdojo) and [agent-starter-pack's repository](https://github.com/GoogleCloudPlatform/agent-starter-pack). | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Tagline | A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents | Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability. | | Stars | 659 | 6,514 | | Forks | 168 | 1,496 | | Open issues | 33 | 48 | | 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. | agent-starter-pack is a specialized toolset for deploying AI agents on the Google Cloud Platform with built-in CI/CD, evaluation tools, and observability features. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 39d | 0d | | Open issues (now) | 33 | 48 | | Full report | [trust report](/tools/ethz-spylab-agentdojo/trust.md) | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) | ## Shared compatibility - **Python**: [agentdojo](/tools/ethz-spylab-agentdojo.md) - Python runtime; [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.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: agent-starter-pack - **Requirements:** Requires additional software installation: Google Cloud SDK, Terraform for deployment, Make for development tasks. - **Adopt for:** agent-starter-pack is a specialized toolset for deploying AI agents on the Google Cloud Platform with built-in CI/CD, evaluation tools, and observability features. ## Choose when ### Choose agentdojo if… - License: agentdojo is MIT, agent-starter-pack 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. - Also covers Evaluation & Observability. - AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. ### Choose agent-starter-pack if… - License: agent-starter-pack is Apache-2.0, agentdojo is MIT. - Requirements: Requires additional software installation: Google Cloud SDK, Terraform for deployment, Make for development tasks.. - Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents. - Also covers Inference & Serving, LLM Frameworks. - When you require production-ready templates specifically adapted for deployment to Google Cloud. ## 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. ## When NOT to use agent-starter-pack - If you are using another cloud provider (e.g., AWS, Azure) and do not plan on moving your operations to Google Cloud. - When your team lacks familiarity with Python 3.10+ or does not wish to install and manage dependencies such as the Google Cloud SDK locally. ## Common questions ### What is the difference between agentdojo and agent-starter-pack? agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. agent-starter-pack: Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentdojo over agent-starter-pack? Choose agentdojo over agent-starter-pack when License: agentdojo is MIT, agent-starter-pack 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; Also covers Evaluation & Observability; 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 agent-starter-pack over agentdojo? Choose agent-starter-pack over agentdojo when License: agent-starter-pack is Apache-2.0, agentdojo is MIT; Requirements: Requires additional software installation: Google Cloud SDK, Terraform for deployment, Make for development tasks.; Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents; Also covers Inference & Serving, LLM Frameworks; When you require production-ready templates specifically adapted for deployment to Google Cloud. ### 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 agent-starter-pack? If you are using another cloud provider (e.g., AWS, Azure) and do not plan on moving your operations to Google Cloud. When your team lacks familiarity with Python 3.10+ or does not wish to install and manage dependencies such as the Google Cloud SDK locally. ### Is agentdojo or agent-starter-pack more popular on GitHub? agent-starter-pack has more GitHub stars (6,514 vs 659). Stars measure visibility, not whether either tool fits your constraints. ### Are agentdojo and agent-starter-pack open source? Yes - both are open-source projects on GitHub (agentdojo: MIT, agent-starter-pack: Apache-2.0). ### Where can I find alternatives to agentdojo or agent-starter-pack? GraphCanon lists graph-backed alternatives at [agentdojo alternatives](/tools/ethz-spylab-agentdojo/alternatives) and [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) ([agentdojo markdown twin](/tools/ethz-spylab-agentdojo/alternatives.md), [agent-starter-pack markdown twin](/tools/googlecloudplatform-agent-starter-pack/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-googlecloudplatform-agent-starter-pack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentdojo or agent-starter-pack? agentdojo: Steady. agent-starter-pack: 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 agent-starter-pack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentdojo trust report](/tools/ethz-spylab-agentdojo/trust); [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/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/_