Comparison
agentdojo vs agent-learning-kit
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-learning-kit if agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language.
Markdown twin · agentdojo alternatives · agent-learning-kit alternatives
GraphCanon updated Oct 6, 2026
5views this month
Trust & integrity
| Signal | agentdojo | agent-learning-kit |
|---|---|---|
| Maintenance | Slowing (125d since push) As of Oct 6, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 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 Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentdojo
- A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- agent-learning-kit
- General Purpose Evaluation and Simulation Environment for all your AI related Workflows
Stars
- agentdojo
- 893
- agent-learning-kit
- 119
Forks
- agentdojo
- 235
- agent-learning-kit
- 44
Open issues
- agentdojo
- 72
- agent-learning-kit
- 19
Language
- agentdojo
- Python
- agent-learning-kit
- 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.
- agent-learning-kit
- agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language
Persona
- agentdojo
- -
- agent-learning-kit
- -
Runtime
- agentdojo
- -
- agent-learning-kit
- -
License
- agentdojo
- MIT
- agent-learning-kit
- Other
Last pushed
- agentdojo
- Jun 2, 2026
- agent-learning-kit
- Sep 18, 2026
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- agent-learning-kit
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentdojo
- Slowing (36%)
- agent-learning-kit
- Very active (96%)
Days since push
- agentdojo
- 125d
- agent-learning-kit
- 0d
Open issues (now)
- agentdojo
- 72
- agent-learning-kit
- 19
Stars delta
- agentdojo
- +91 (30d)
- agent-learning-kit
- +1 (30d)
Open issues delta
- agentdojo
- +21 (30d)
- agent-learning-kit
- +13 (30d)
Full report
- agentdojo
- Trust report
- agent-learning-kit
- Trust report
Shared compatibility
- Python · agentdojo: Python runtime · agent-learning-kit: Python runtime
Choose agentdojo if…
- License: agentdojo is MIT, agent-learning-kit 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.
- 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 agent-learning-kit if…
- License: agent-learning-kit is Other, agentdojo is MIT.
- Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation.
- When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents
When NOT to use agent-learning-kit
- If your project strictly requires a different programming language other than Python or TypeScript
- When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras
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 Oct 6, 2026
- GitHub forks (ethz-spylab/agentdojo) · observed Oct 6, 2026
- Last push (ethz-spylab/agentdojo) · observed Jun 2, 2026
- License file (MIT) · observed Oct 6, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/agent-learning-kit) · observed Sep 20, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Sep 20, 2026
- Last push (future-agi/agent-learning-kit) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: agentdojo 893 · agent-learning-kit 119 (synced Oct 6, 2026).
Common questions
- What is the difference between agentdojo and agent-learning-kit?
- agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. agent-learning-kit: General Purpose Evaluation and Simulation Environment for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentdojo over agent-learning-kit?
- Choose agentdojo over agent-learning-kit when License: agentdojo is MIT, agent-learning-kit 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; 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-learning-kit over agentdojo?
- Choose agent-learning-kit over agentdojo when License: agent-learning-kit is Other, agentdojo is MIT; Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation; When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents.
- 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 agent-learning-kit?
- If your project strictly requires a different programming language other than Python or TypeScript When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras
- Is agentdojo or agent-learning-kit more popular on GitHub?
- agentdojo has more GitHub stars (893 vs 119). Stars measure visibility, not whether either tool fits your constraints.
- Are agentdojo and agent-learning-kit open source?
- Yes - both are open-source projects on GitHub (agentdojo: MIT, agent-learning-kit: Other).
- Where can I find alternatives to agentdojo or agent-learning-kit?
- GraphCanon lists graph-backed alternatives at agentdojo alternatives and agent-learning-kit alternatives (agentdojo markdown twin, agent-learning-kit 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-learning-kit?
- agentdojo: Slowing. agent-learning-kit: 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-learning-kit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentdojo trust report; agent-learning-kit trust report.