cursor-agent-team vs lore — Trust Score Comparison

Side-by-side trust comparison of cursor-agent-team and lore. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

cursor-agent-team scores 73.3/100 (D) while lore scores 0.0/100 (B) on the Nerq Trust Score. cursor-agent-team leads by 73.3 points. cursor-agent-team is a coding tool with 22 stars, Nerq Verified. lore is a agent framework tool with 22 stars.
73.3
D verified
Categorycoding
Stars22
Sourcegithub
Security0
Compliance100
Maintenance1
Documentation1
vs
0.0
B
Categoryagent framework
Stars22
Sourcegithub
Security0
Compliance100
Maintenance1
Documentation1

Detailed Metric Comparison

Metric cursor-agent-team lore
Trust Score73.3/1000.0/100
GradeDB
Stars2222
Categorycodingagent framework
Security00
Compliance100100
Maintenance11
Documentation11
EU AI Act Riskminimalminimal
VerifiedYesNo

Verdict

cursor-agent-team leads with a trust score of 73.3/100 compared to lore's 0.0/100 (a 73.3-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

cursor-agent-team leads on security with a score of 0/100 compared to lore'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

lore 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

cursor-agent-team has better documentation (1/100 vs 1/100). 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

cursor-agent-team has 22 GitHub stars while lore has 22. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose cursor-agent-team if you need:

  • Higher overall trust score — more reliable for production use

Choose lore if you need:

  • More actively maintained with faster release cadence

Switching from cursor-agent-team to lore (or vice versa)

When migrating between cursor-agent-team and lore, consider these factors:

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

Related Pages

Frequently Asked Questions

Which is safer, cursor-agent-team or lore?
Based on Nerq's independent trust assessment, cursor-agent-team has a trust score of 73.3/100 (D) while lore scores 0.0/100 (B). The 73.3-point difference suggests cursor-agent-team has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do cursor-agent-team and lore compare on security?
cursor-agent-team has a security score of 0/100 and lore scores 0/100. Both have comparable security profiles. cursor-agent-team's compliance score is 100/100 (EU risk: minimal), while lore's is 100/100 (EU risk: minimal).
Should I use cursor-agent-team or lore?
The choice depends on your requirements. cursor-agent-team (coding, 22 stars) and lore (agent framework, 22 stars) serve different use cases. On trust, cursor-agent-team scores 73.3/100 and lore scores 0.0/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs 1), and maintenance activity (1 vs 1).

Related Comparisons

Last updated: 2026-11-01 | 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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