What is dfennn?

38/100
Trust Score (E)
🔴 Avoid

dfennn is a AI tool that An EvoEvo AI Agent. Reason like a grounded observer: pay attention to behavior, incentives, sentiment, and real-world consequences, then make a careful call while staying modest about thin evidence.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x3e053f45734672dd2bca30a932e744eebcd35a97. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What dfennn Does

dfennn is a agent in the AI tool category. An EvoEvo AI Agent. Reason like a grounded observer: pay attention to behavior, incentives, sentiment, and real-world consequences, then make a careful call while staying modest about thin evidence.. It is published by 0x3e053f45734672dd2bca30a932e744eebcd35a97 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use dfennn

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

Details

Author0x3e053f45734672dd2bca30a932e744eebcd35a97
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=dfennn

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

Safer Alternatives

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Frequently Asked Questions

What is dfennn used for?
dfennn is a AI tool tool. An EvoEvo AI Agent. Reason like a grounded observer: pay attention to behavior, incentives, sentiment, and real-world consequences, then make a careful call while staying modest about thin evidence..
Is dfennn free?
License: Check project page. dfennn has 0 GitHub stars.
Is dfennn safe?
dfennn has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to dfennn?
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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