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Comparison

jailbreak-evaluation vs agent-learning-kit

Verdict

Pick jailbreak-evaluation if jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming; pick agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.

Markdown twin · jailbreak-evaluation alternatives · agent-learning-kit alternatives

GraphCanon updated 2w

jailbreak-evaluation logo

jailbreak-evaluation

controllability/jailbreak-evaluation

★ 27pushed Nov 4, 2024
vs
agent-learning-kit logo

agent-learning-kit

future-agi/agent-learning-kit

★ 118pushed Aug 1, 2026

Trust & integrity

Signaljailbreak-evaluationagent-learning-kit
Maintenance
Dormant (638d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
jailbreak-evaluation trust reportagent-learning-kit trust reportTrust methodology

Tagline

jailbreak-evaluation
Python package for language model jailbreak evaluation
agent-learning-kit
Evaluation Framework for all your AI related Workflows

Stars

jailbreak-evaluation
27
agent-learning-kit
118

Forks

jailbreak-evaluation
8
agent-learning-kit
43

Open issues

jailbreak-evaluation
0
agent-learning-kit
6

Language

jailbreak-evaluation
Python
agent-learning-kit
Python

Adopt for

jailbreak-evaluation
jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming.
agent-learning-kit
Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.

Persona

jailbreak-evaluation
-
agent-learning-kit
-

Runtime

jailbreak-evaluation
-
agent-learning-kit
-

License

jailbreak-evaluation
Apache-2.0
agent-learning-kit
Apache-2.0

Last pushed

jailbreak-evaluation
Nov 4, 2024
agent-learning-kit
Aug 1, 2026

Categories

jailbreak-evaluation
Evaluation & Observability
agent-learning-kit
Evaluation & Observability

Trust and health

Maintenance

jailbreak-evaluation
Dormant (18%)
agent-learning-kit
Very active (96%)

Days since push

jailbreak-evaluation
638d
agent-learning-kit
0d

Open issues (now)

jailbreak-evaluation
0
agent-learning-kit
6

Full report

jailbreak-evaluation
Trust report
agent-learning-kit
Trust report

Shared compatibility

  • Python · jailbreak-evaluation: Python runtime · agent-learning-kit: Python runtime

Choose jailbreak-evaluation if…

  • Requirements: The tool depends on having PyTorch and FastChat installed; An API key from the OpenAI Platform is required for full functionality.
  • Tags unique to jailbreak-evaluation: ai safety, evaluation tools, jailbreaks, language-models.
  • When you need to assess whether an AI model can be manipulated to produce unpredictable or unintended outcomes through specific inputs, such as jailbreaking.

When NOT to use jailbreak-evaluation

  • If your project does not involve assessing the security or integrity of how an AI model responds to manipulative input techniques designed to exploit design weaknesses.
  • When you do not need dependencies on specific frameworks like PyTorch and FastChat, as jailbreak-evaluation requires these without automating their installation.
GitHubDetails

Choose agent-learning-kit if…

  • Tags unique to agent-learning-kit: ai-agents, ci-cd, evaluation, ml.
  • When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.
  • More GitHub stars (118 vs 27) - visibility, not fit.

When NOT to use agent-learning-kit

  • If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit.
  • When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
GitHubDetails

Explore

jailbreak-evaluation trust report →agent-learning-kit trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: jailbreak-evaluation 27 · agent-learning-kit 118 (synced Aug 5, 2026).

Common questions

What is the difference between jailbreak-evaluation and agent-learning-kit?
jailbreak-evaluation: Python package for language model jailbreak evaluation. agent-learning-kit: Evaluation Framework for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose jailbreak-evaluation over agent-learning-kit?
Choose jailbreak-evaluation over agent-learning-kit when Requirements: The tool depends on having PyTorch and FastChat installed; An API key from the OpenAI Platform is required for full functionality; Tags unique to jailbreak-evaluation: ai safety, evaluation tools, jailbreaks, language-models; When you need to assess whether an AI model can be manipulated to produce unpredictable or unintended outcomes through specific inputs, such as jailbreaking.
When should I choose agent-learning-kit over jailbreak-evaluation?
Choose agent-learning-kit over jailbreak-evaluation when Tags unique to agent-learning-kit: ai-agents, ci-cd, evaluation, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed; More GitHub stars (118 vs 27) - visibility, not fit.
When should I avoid jailbreak-evaluation?
If your project does not involve assessing the security or integrity of how an AI model responds to manipulative input techniques designed to exploit design weaknesses. When you do not need dependencies on specific frameworks like PyTorch and FastChat, as jailbreak-evaluation requires these without automating their installation.
When should I avoid agent-learning-kit?
If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
Is jailbreak-evaluation or agent-learning-kit more popular on GitHub?
agent-learning-kit has more GitHub stars (118 vs 27). Stars measure visibility, not whether either tool fits your constraints.
Are jailbreak-evaluation and agent-learning-kit open source?
Yes - both are open-source projects on GitHub (jailbreak-evaluation: Apache-2.0, agent-learning-kit: Apache-2.0).
Where can I find alternatives to jailbreak-evaluation or agent-learning-kit?
GraphCanon lists graph-backed alternatives at jailbreak-evaluation alternatives and agent-learning-kit alternatives (jailbreak-evaluation 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, jailbreak-evaluation or agent-learning-kit?
jailbreak-evaluation: Dormant. 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 jailbreak-evaluation and agent-learning-kit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jailbreak-evaluation trust report; agent-learning-kit trust report.

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