langchain vs AutoGPT — Trust Score Comparison

Name: langchain vs AutoGPT Trust Comparison
Creator: Nerq

Side-by-side trust comparison of langchain and AutoGPT. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

langchain scores 71.3/100 (B) while AutoGPT scores 63.2/100 (C+) on the Nerq Trust Score. langchain leads by 8.1 points. langchain is a coding agent with 127,759 stars, Nerq Verified. AutoGPT is a coding agent with 181,899 stars.

langchain

71.3

B verified

Categorycoding

Stars127,759

Sourcegithub

Security1

Compliance87

Maintenance1

Documentation1

AutoGPT

63.2

C+

Categorycoding

Stars181,899

Sourcegithub

Security0

Compliance100

Maintenance1

Documentation0

Detailed Metric Comparison

Metric	langchain	AutoGPT
Trust Score	71.3/100	63.2/100
Grade	B	C+
Stars	127,759	181,899
Category	coding	coding
Security	1	0
Compliance	87	100
Maintenance	1	1
Documentation	1	0
EU AI Act Risk	N/A	minimal
Verified	Yes	No

Verdict

langchain leads with a trust score of 71.3/100 compared to AutoGPT's 63.2/100 (a 8.1-point difference). langchain scores higher on security (1 vs 0). However, AutoGPT has stronger community adoption (181,899 vs 127,759 stars). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

langchain leads on security with a score of 1/100 compared to AutoGPT'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

langchain 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

langchain 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

langchain has 127,759 GitHub stars while AutoGPT has 181,899. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose langchain if you need:

Higher overall trust score — more reliable for production use
Stronger security profile with fewer known vulnerabilities
Better documentation for faster onboarding

Choose AutoGPT if you need:

Larger community (181,899 vs 127,759 stars)

Switching from langchain to AutoGPT (or vice versa)

When migrating between langchain and AutoGPT, consider these factors:

API Compatibility: langchain (coding) and AutoGPT (coding) share similar interfaces since they are in the same category.
Security Review: Run a security audit after migration. Check the langchain safety report and AutoGPT safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: langchain has 127,759 stars and AutoGPT has 181,899. Larger communities typically mean better Stack Overflow answers and migration guides.

langchain Safety Report AutoGPT Safety Report langchain Alternatives AutoGPT Alternatives

Frequently Asked Questions

Which is safer, langchain or AutoGPT?

Based on Nerq's independent trust assessment, langchain has a trust score of 71.3/100 (B) while AutoGPT scores 63.2/100 (C+). The 8.1-point difference suggests langchain has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do langchain and AutoGPT compare on security?

langchain has a security score of 1/100 and AutoGPT scores 0/100. Both have comparable security profiles. langchain's compliance score is 87/100 (EU risk: N/A), while AutoGPT's is 100/100 (EU risk: minimal).

Should I use langchain or AutoGPT?

The choice depends on your requirements. langchain (coding, 127,759 stars) and AutoGPT (coding, 181,899 stars) serve similar use cases. On trust, langchain scores 71.3/100 and AutoGPT scores 63.2/100. 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).

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Last updated: 2026-05-13 | 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.