graphiti vs mage-ai — Trust Score Comparison

Side-by-side trust comparison of graphiti and mage-ai. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

graphiti scores 64.8/100 (C+) while mage-ai scores 69.7/100 (B-) on the Nerq Trust Score. mage-ai leads by 4.9 points. graphiti is a infrastructure tool with 22,984 stars. mage-ai is a data tool with 8,650 stars.
64.8
C+
Categoryinfrastructure
Stars22,984
Sourcegithub
Security0
Compliance100
Maintenance1
Documentation1
vs
69.7
B-
Categorydata
Stars8,650
Sourcegithub
Security0
Compliance92
Maintenance1
Documentation0

Detailed Metric Comparison

Metric graphiti mage-ai
Trust Score64.8/10069.7/100
GradeC+B-
Stars22,9848,650
Categoryinfrastructuredata
Security00
Compliance10092
Maintenance11
Documentation10
EU AI Act RiskN/Aminimal
VerifiedNoNo

Verdict

mage-ai leads with a trust score of 69.7/100 compared to graphiti's 64.8/100 (a 4.9-point difference). However, graphiti has stronger community adoption (22,984 vs 8,650 stars). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

graphiti leads on security with a score of 0/100 compared to mage-ai'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

graphiti 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

graphiti 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

graphiti has 22,984 GitHub stars while mage-ai has 8,650. graphiti 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 graphiti if you need:

  • Larger community (22,984 vs 8,650 stars)
  • Better documentation for faster onboarding

Choose mage-ai if you need:

  • Higher overall trust score — more reliable for production use

Switching from graphiti to mage-ai (or vice versa)

When migrating between graphiti and mage-ai, consider these factors:

  1. API Compatibility: graphiti (infrastructure) and mage-ai (data) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the graphiti safety report and mage-ai safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: graphiti has 22,984 stars and mage-ai has 8,650. Larger communities typically mean better Stack Overflow answers and migration guides.
graphiti Safety Report mage-ai Safety Report graphiti Alternatives mage-ai Alternatives

Related Pages

Frequently Asked Questions

Which is safer, graphiti or mage-ai?
Based on Nerq's independent trust assessment, graphiti has a trust score of 64.8/100 (C+) while mage-ai scores 69.7/100 (B-). The 4.9-point difference suggests mage-ai has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do graphiti and mage-ai compare on security?
graphiti has a security score of 0/100 and mage-ai scores 0/100. Both have comparable security profiles. graphiti's compliance score is 100/100 (EU risk: N/A), while mage-ai's is 92/100 (EU risk: minimal).
Should I use graphiti or mage-ai?
The choice depends on your requirements. graphiti (infrastructure, 22,984 stars) and mage-ai (data, 8,650 stars) serve different use cases. On trust, graphiti scores 64.8/100 and mage-ai scores 69.7/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs 0), and maintenance activity (1 vs 1).

Related Comparisons

Last updated: 2026-05-21 | 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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