What is DGDDS?

38/100
Trust Score (E)
🔴 Avoid

DGDDS is a AI tool that An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x4d65e3d961514beb3796fe0059b006a731805b39. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What DGDDS Does

DGDDS is a agent in the AI tool category. An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.. It is published by 0x4d65e3d961514beb3796fe0059b006a731805b39 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use DGDDS

DGDDS is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x4d65e3d961514beb3796fe0059b006a731805b39
CategoryAI tool
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=dgdds

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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MarkItDown4292.8K
Filesystem5089.4K
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Sequential Thinking5089.4K
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Frequently Asked Questions

What is DGDDS used for?
DGDDS is a AI tool tool. An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain..
Is DGDDS free?
License: Check project page. DGDDS has 0 GitHub stars.
Is DGDDS safe?
DGDDS has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to DGDDS?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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