llm-app vs anything-llm — Trust Score Comparison

Side-by-side trust comparison of llm-app and anything-llm. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

llm-app scores 75.9/100 (B+) while anything-llm scores 71.2/100 (B) on the Nerq Trust Score. llm-app leads by 4.7 points. llm-app is a coding agent with 56,294 stars, Nerq Verified. anything-llm is a coding agent with 54,799 stars, Nerq Verified.
75.9
B+ verified
Categorycoding
Stars56,294
Sourcegithub
Security0
Compliance77
Maintenance1
Documentation0
vs
71.2
B verified
Categorycoding
Stars54,799
Sourcegithub
Security1
Compliance100
Maintenance1
Documentation1

Detailed Metric Comparison

Metric llm-app anything-llm
Trust Score75.9/10071.2/100
GradeB+B
Stars56,29454,799
Categorycodingcoding
Security01
Compliance77100
Maintenance11
Documentation01
EU AI Act Riskminimalminimal
VerifiedYesYes

Verdict

llm-app leads with a trust score of 75.9/100 compared to anything-llm's 71.2/100 (a 4.7-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

anything-llm leads on security with a score of 1/100 compared to llm-app'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

llm-app 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

anything-llm 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

llm-app has 56,294 GitHub stars while anything-llm has 54,799. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose llm-app if you need:

  • Higher overall trust score — more reliable for production use
  • Larger community (56,294 vs 54,799 stars)

Choose anything-llm if you need:

  • Stronger security profile with fewer known vulnerabilities
  • Better documentation for faster onboarding

Switching from llm-app to anything-llm (or vice versa)

When migrating between llm-app and anything-llm, consider these factors:

  1. API Compatibility: llm-app (coding) and anything-llm (coding) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the llm-app safety report and anything-llm safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: llm-app has 56,294 stars and anything-llm has 54,799. Larger communities typically mean better Stack Overflow answers and migration guides.
llm-app Safety Report anything-llm Safety Report llm-app Alternatives anything-llm Alternatives

Related Pages

Frequently Asked Questions

Which is safer, llm-app or anything-llm?
Based on Nerq's independent trust assessment, llm-app has a trust score of 75.9/100 (B+) while anything-llm scores 71.2/100 (B). The 4.7-point difference suggests llm-app has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do llm-app and anything-llm compare on security?
llm-app has a security score of 0/100 and anything-llm scores 1/100. Both have comparable security profiles. llm-app's compliance score is 77/100 (EU risk: minimal), while anything-llm's is 100/100 (EU risk: minimal).
Should I use llm-app or anything-llm?
The choice depends on your requirements. llm-app (coding, 56,294 stars) and anything-llm (coding, 54,799 stars) serve similar use cases. On trust, llm-app scores 75.9/100 and anything-llm scores 71.2/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 1), and maintenance activity (1 vs 1).

Related Comparisons

Last updated: 2026-05-28 | 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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