Comparison
agentdojo vs agents-towards-production
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 agents-towards-production if agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr.
Markdown twin · agentdojo alternatives · agents-towards-production alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agentdojo | agents-towards-production |
|---|---|---|
| Maintenance | Steady (39d since push) As of today · github_public_v1 | Very active (6d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- agentdojo
- A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- agents-towards-production
- End-to-end, code-first tutorials for building production-grade GenAI agents
Stars
- agentdojo
- 659
- agents-towards-production
- 21k
Forks
- agentdojo
- 168
- agents-towards-production
- 2.8k
Open issues
- agentdojo
- 33
- agents-towards-production
- 11
Language
- agentdojo
- Python
- agents-towards-production
- Jupyter Notebook
Adopt for
- agentdojo
- AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
- agents-towards-production
- agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr
Persona
- agentdojo
- -
- agents-towards-production
- -
Runtime
- agentdojo
- -
- agents-towards-production
- -
License
- agentdojo
- MIT
- agents-towards-production
- Other
Last pushed
- agentdojo
- Jun 2, 2026
- agents-towards-production
- Jul 4, 2026
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- agents-towards-production
- AI Agents
Trust and health
Maintenance
- agentdojo
- Steady (60%)
- agents-towards-production
- Very active (96%)
Days since push
- agentdojo
- 39d
- agents-towards-production
- 6d
Open issues (now)
- agentdojo
- 33
- agents-towards-production
- 11
Owner type
- agentdojo
- Organization
- agents-towards-production
- User
Security scan
- agentdojo
- No lockfile
- agents-towards-production
- No MCP manifest
Full report
- agentdojo
- Trust report
- agents-towards-production
- Trust report
Choose agentdojo if…
- agentdojo is primarily Python; agents-towards-production is Jupyter Notebook.
- License: agentdojo is MIT, agents-towards-production is Other.
- 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 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 agents-towards-production if…
- agents-towards-production is primarily Jupyter Notebook; agentdojo is Python.
- License: agents-towards-production is Other, agentdojo is MIT.
- Tags unique to agents-towards-production: agent-framework, agentic-ai, deployment, genai.
- * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key.
When NOT to use agents-towards-production
- * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures.
- * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation.
- * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may,
- other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent.
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 Jul 11, 2026
- GitHub forks (ethz-spylab/agentdojo) · observed Jul 11, 2026
- Last push (ethz-spylab/agentdojo) · observed Jun 2, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NirDiamant/agents-towards-production) · observed Jul 11, 2026
- GitHub forks (NirDiamant/agents-towards-production) · observed Jul 11, 2026
- Last push (NirDiamant/agents-towards-production) · observed Jul 4, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentdojo 659 · agents-towards-production 21k (synced Jul 11, 2026).
Common questions
- What is the difference between agentdojo and agents-towards-production?
- agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. agents-towards-production: End-to-end, code-first tutorials for building production-grade GenAI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentdojo over agents-towards-production?
- Choose agentdojo over agents-towards-production when agentdojo is primarily Python; agents-towards-production is Jupyter Notebook; License: agentdojo is MIT, agents-towards-production is Other; 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 agents-towards-production over agentdojo?
- Choose agents-towards-production over agentdojo when agents-towards-production is primarily Jupyter Notebook; agentdojo is Python; License: agents-towards-production is Other, agentdojo is MIT; Tags unique to agents-towards-production: agent-framework, agentic-ai, deployment, genai; * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key.
- 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 agents-towards-production?
- * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures. * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation. * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may, other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent.
- Is agentdojo or agents-towards-production more popular on GitHub?
- agents-towards-production has more GitHub stars (20,953 vs 659). Stars measure visibility, not whether either tool fits your constraints.
- Are agentdojo and agents-towards-production open source?
- Yes - both are open-source projects on GitHub (agentdojo: MIT, agents-towards-production: Other).
- Where can I find alternatives to agentdojo or agents-towards-production?
- GraphCanon lists graph-backed alternatives at agentdojo alternatives and agents-towards-production alternatives (agentdojo markdown twin, agents-towards-production 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 agents-towards-production?
- agentdojo: Steady. agents-towards-production: 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 agents-towards-production?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentdojo trust report; agents-towards-production trust report.