agentdojo vs agent-starter-pack

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 and agent-starter-pack alternatives (agentdojo markdown twin, agent-starter-pack 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 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; agent-starter-pack trust report.