knowledge_assistant vs agent-scan — Trust Score Comparison
Side-by-side trust comparison of knowledge_assistant and agent-scan. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | knowledge_assistant | agent-scan |
|---|---|---|
| Trust Score | 58.0/100 | 0.0/100 |
| Grade | C | A |
| Stars | 1 | 1,981 |
| Category | education | infrastructure |
| Security | 0 | 0 |
| Compliance | 87 | 97 |
| Maintenance | 1 | 1 |
| Documentation | 0 | 1 |
| EU AI Act Risk | minimal | N/A |
| Verified | No | No |
Verdict
knowledge_assistant leads with a trust score of 58.0/100 compared to agent-scan's 0.0/100 (a 58.0-point difference). However, agent-scan has stronger community adoption (1,981 vs 1 stars). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
knowledge_assistant leads on security with a score of 0/100 compared to agent-scan's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.
Maintenance & Activity
agent-scan demonstrates stronger maintenance activity (1/100 vs 1/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.
Documentation
agent-scan has better documentation (1/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.
Community & Adoption
knowledge_assistant has 1 GitHub stars while agent-scan has 1,981. agent-scan 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 knowledge_assistant if you need:
- Higher overall trust score — more reliable for production use
Choose agent-scan if you need:
- More actively maintained with faster release cadence
- Larger community (1,981 vs 1 stars)
- Better documentation for faster onboarding
Switching from knowledge_assistant to agent-scan (or vice versa)
When migrating between knowledge_assistant and agent-scan, consider these factors:
- API Compatibility: knowledge_assistant (education) and agent-scan (infrastructure) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the knowledge_assistant safety report and agent-scan safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: knowledge_assistant has 1 stars and agent-scan has 1,981. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
Related Comparisons
Last updated: 2026-09-23 | 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.