What is DSEW?

38/100
Trust Score (E)
🔴 Avoid

DSEW 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 0x4f17fd4dd45a9b5d5f0460b9710722427c1c7ec9. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What DSEW Does

DSEW 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 0x4f17fd4dd45a9b5d5f0460b9710722427c1c7ec9 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use DSEW

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

Details

Author0x4f17fd4dd45a9b5d5f0460b9710722427c1c7ec9
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=dsew

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

Safer Alternatives

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MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
Sequential Thinking5089.4K
Fetch5089.4K

Frequently Asked Questions

What is DSEW used for?
DSEW 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 DSEW free?
License: Check project page. DSEW has 0 GitHub stars.
Is DSEW safe?
DSEW has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to DSEW?
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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