Comparison
agent-learning-kit vs stepshield
Verdict
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; pick stepshield if stepShield aids in evaluating temporal guardrail effectiveness on AI agents through step-level annotations, ideal for ensuring security over time.
Markdown twin · agent-learning-kit alternatives · stepshield alternatives
GraphCanon updated Sep 13, 2026
vs
Trust & integrity
| Signal | agent-learning-kit | stepshield |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 1, 2026 · github_public_v1 | Active (7d since push) As of Sep 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 1, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 15, 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
- agent-learning-kit
- Evaluation Framework for all your AI related Workflows
- stepshield
- Temporal evaluation benchmark for AI agent guardrails
Stars
- agent-learning-kit
- 119
- stepshield
- 76
Forks
- agent-learning-kit
- 44
- stepshield
- 17
Open issues
- agent-learning-kit
- 17
- stepshield
- 18
Language
- agent-learning-kit
- Python
- stepshield
- Python
Adopt for
- 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.
- stepshield
- StepShield aids in evaluating temporal guardrail effectiveness on AI agents through step-level annotations, ideal for ensuring security over time.
Persona
- agent-learning-kit
- -
- stepshield
- -
Runtime
- agent-learning-kit
- -
- stepshield
- -
License
- agent-learning-kit
- Apache-2.0
- stepshield
- Other
Last pushed
- agent-learning-kit
- Aug 31, 2026
- stepshield
- Sep 5, 2026
Categories
- agent-learning-kit
- Evaluation & Observability
- stepshield
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-learning-kit
- Very active (96%)
- stepshield
- Active (82%)
Days since push
- agent-learning-kit
- 0d
- stepshield
- 7d
Open issues (now)
- agent-learning-kit
- 17
- stepshield
- 18
Stars delta
- agent-learning-kit
- +1 (30d)
- stepshield
- -1 (30d)
Open issues delta
- agent-learning-kit
- +11 (30d)
- stepshield
- +2 (30d)
Owner type
- agent-learning-kit
- Organization
- stepshield
- User
OSV dependency advisories
- agent-learning-kit
- No lockfile (source not queried)
- stepshield
- Published findings
Full report
- agent-learning-kit
- Trust report
- stepshield
- Trust report
Shared compatibility
- Python · agent-learning-kit: Python runtime · stepshield: Python runtime
Choose agent-learning-kit if…
- License: agent-learning-kit is Apache-2.0, stepshield is Other.
- 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.
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.
Choose stepshield if…
- License: stepshield is Other, agent-learning-kit is Apache-2.0.
- Tags unique to stepshield: agent-security, ai-safety, benchmark, dataset.
- Also covers AI Agents.
- When you need to measure the timing of interventions rather than just if they occur
When NOT to use stepshield
- If your project does not require temporal analysis of guardrail performance
- When you seek real-time intervention and do not need pre-defined trajectory datasets
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (future-agi/agent-learning-kit) · observed Sep 1, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Sep 1, 2026
- Last push (future-agi/agent-learning-kit) · observed Aug 31, 2026
- License file (Apache-2.0) · observed Sep 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (glo26/stepshield) · observed Sep 13, 2026
- GitHub forks (glo26/stepshield) · observed Sep 13, 2026
- Last push (glo26/stepshield) · observed Sep 5, 2026
- License file (Other) · observed Sep 13, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agent-learning-kit 119 · stepshield 76 (synced Sep 1, 2026).
Common questions
- What is the difference between agent-learning-kit and stepshield?
- agent-learning-kit: Evaluation Framework for all your AI related Workflows. stepshield: Temporal evaluation benchmark for AI agent guardrails. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-learning-kit over stepshield?
- Choose agent-learning-kit over stepshield when License: agent-learning-kit is Apache-2.0, stepshield is Other; 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.
- When should I choose stepshield over agent-learning-kit?
- Choose stepshield over agent-learning-kit when License: stepshield is Other, agent-learning-kit is Apache-2.0; Tags unique to stepshield: agent-security, ai-safety, benchmark, dataset; Also covers AI Agents; When you need to measure the timing of interventions rather than just if they occur.
- 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.
- When should I avoid stepshield?
- If your project does not require temporal analysis of guardrail performance When you seek real-time intervention and do not need pre-defined trajectory datasets
- Is agent-learning-kit or stepshield more popular on GitHub?
- agent-learning-kit has more GitHub stars (119 vs 76). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-learning-kit and stepshield open source?
- Yes - both are open-source projects on GitHub (agent-learning-kit: Apache-2.0, stepshield: Other).
- Where can I find alternatives to agent-learning-kit or stepshield?
- GraphCanon lists graph-backed alternatives at agent-learning-kit alternatives and stepshield alternatives (agent-learning-kit markdown twin, stepshield 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, agent-learning-kit or stepshield?
- agent-learning-kit: Very active. stepshield: 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 agent-learning-kit and stepshield?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-learning-kit trust report; stepshield trust report.