agentic-engineering vs Wan-2.2 — Trust Score Comparison

Side-by-side trust comparison of agentic-engineering and Wan-2.2. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

agentic-engineering scores 0.0/100 (C) while Wan-2.2 scores 89.0/100 (A) on the Nerq Trust Score. Wan-2.2 leads by 89.0 points. agentic-engineering is a uncategorized tool with 0 stars. Wan-2.2 is a image-to-video tool with 977 stars, Nerq Verified.
0.0
C
Categoryuncategorized
Stars0
Sourcegithub
Security0
Compliance100
Maintenance0
Documentation0
vs
89.0
A verified
Categoryimage-to-video
Stars977
Sourcehuggingface_models_v3

Detailed Metric Comparison

Metric agentic-engineering Wan-2.2
Trust Score0.0/10089.0/100
GradeCA
Stars0977
Categoryuncategorizedimage-to-video
Security0N/A
Compliance100N/A
Maintenance0N/A
Documentation0N/A
EU AI Act RiskN/AN/A
VerifiedNoYes

Verdict

Wan-2.2 leads with a trust score of 89.0/100 compared to agentic-engineering's 0.0/100 (a 89.0-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. agentic-engineering scores 0 and Wan-2.2 scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. agentic-engineering: 0, Wan-2.2: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. agentic-engineering: 0, Wan-2.2: N/A.

Community & Adoption

agentic-engineering has 0 GitHub stars while Wan-2.2 has 977. Wan-2.2 has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.

When to Choose Each Tool

Choose agentic-engineering if you need:

  • Consider if it better fits your specific use case

Choose Wan-2.2 if you need:

  • Higher overall trust score — more reliable for production use
  • Larger community (977 vs 0 stars)

Switching from agentic-engineering to Wan-2.2 (or vice versa)

When migrating between agentic-engineering and Wan-2.2, consider these factors:

  1. API Compatibility: agentic-engineering (uncategorized) and Wan-2.2 (image-to-video) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the agentic-engineering safety report and Wan-2.2 safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: agentic-engineering has 0 stars and Wan-2.2 has 977. Larger communities typically mean better Stack Overflow answers and migration guides.
agentic-engineering Safety Report Wan-2.2 Safety Report agentic-engineering Alternatives Wan-2.2 Alternatives

Related Pages

Frequently Asked Questions

Which is safer, agentic-engineering or Wan-2.2?
Based on Nerq's independent trust assessment, agentic-engineering has a trust score of 0.0/100 (C) while Wan-2.2 scores 89.0/100 (A). The 89.0-point difference suggests Wan-2.2 has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do agentic-engineering and Wan-2.2 compare on security?
agentic-engineering has a security score of 0/100 and Wan-2.2 scores N/A/100. There is a notable difference in their security assessments. agentic-engineering's compliance score is 100/100 (EU risk: N/A), while Wan-2.2's is N/A/100 (EU risk: N/A).
Should I use agentic-engineering or Wan-2.2?
The choice depends on your requirements. agentic-engineering (uncategorized, 0 stars) and Wan-2.2 (image-to-video, 977 stars) serve different use cases. On trust, agentic-engineering scores 0.0/100 and Wan-2.2 scores 89.0/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs N/A), and maintenance activity (0 vs N/A).

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Last updated: 2026-11-15 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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