AgentSearch-V1 vs ddgs — Trust Score Comparison

Name: AgentSearch-V1 vs ddgs Trust Comparison
Creator: Nerq

Side-by-side trust comparison of AgentSearch-V1 and ddgs. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

AgentSearch-V1 scores 57.8/100 (D) while ddgs scores 69.2/100 (C) on the Nerq Trust Score. ddgs leads by 11.4 points. AgentSearch-V1 is a search agent with 92 stars. ddgs is a search agent with 2,177 stars.

AgentSearch-V1

57.8

Categorysearch

Stars92

Sourcehuggingface_dataset_v2

Compliance87

Maintenance0

Documentation0

ddgs

69.2

Categorysearch

Stars2,177

Sourcemcp

Security0

Compliance100

Maintenance0

Documentation0

Detailed Metric Comparison

Metric	AgentSearch-V1	ddgs
Trust Score	57.8/100	69.2/100
Grade	D	C
Stars	92	2,177
Category	search	search
Security	N/A	0
Compliance	87	100
Maintenance	0	0
Documentation	0	0
EU AI Act Risk	minimal	minimal
Verified	No	No

Verdict

ddgs leads with a trust score of 69.2/100 compared to AgentSearch-V1's 57.8/100 (a 11.4-point difference). ddgs scores higher on compliance (100 vs 87), maintenance (0 vs 0). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. AgentSearch-V1 scores N/A and ddgs scores 0 on this dimension.

Maintenance & Activity

ddgs demonstrates stronger maintenance activity (0/100 vs 0/100). 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

AgentSearch-V1 has better documentation (0/100 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

AgentSearch-V1 has 92 GitHub stars while ddgs has 2,177. ddgs 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 AgentSearch-V1 if you need:

Consider if it better fits your specific use case

Choose ddgs if you need:

Higher overall trust score — more reliable for production use
More actively maintained with faster release cadence
Larger community (2,177 vs 92 stars)

Switching from AgentSearch-V1 to ddgs (or vice versa)

When migrating between AgentSearch-V1 and ddgs, consider these factors:

API Compatibility: AgentSearch-V1 (search) and ddgs (search) share similar interfaces since they are in the same category.
Security Review: Run a security audit after migration. Check the AgentSearch-V1 safety report and ddgs safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: AgentSearch-V1 has 92 stars and ddgs has 2,177. Larger communities typically mean better Stack Overflow answers and migration guides.

AgentSearch-V1 Safety Report ddgs Safety Report AgentSearch-V1 Alternatives ddgs Alternatives

Frequently Asked Questions

Which is safer, AgentSearch-V1 or ddgs?

Based on Nerq's independent trust assessment, AgentSearch-V1 has a trust score of 57.8/100 (D) while ddgs scores 69.2/100 (C). The 11.4-point difference suggests ddgs has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do AgentSearch-V1 and ddgs compare on security?

AgentSearch-V1 has a security score of N/A/100 and ddgs scores 0/100. There is a notable difference in their security assessments. AgentSearch-V1's compliance score is 87/100 (EU risk: minimal), while ddgs's is 100/100 (EU risk: minimal).

Should I use AgentSearch-V1 or ddgs?

The choice depends on your requirements. AgentSearch-V1 (search, 92 stars) and ddgs (search, 2,177 stars) serve similar use cases. On trust, AgentSearch-V1 scores 57.8/100 and ddgs scores 69.2/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 0), and maintenance activity (0 vs 0).

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.