What is FTYT?

38/100
Trust Score (E)
🔴 Avoid

FTYT 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 0xccfdd6968e678990186522abf912105b0c3ea749. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What FTYT Does

FTYT 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 0xccfdd6968e678990186522abf912105b0c3ea749 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use FTYT

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

Details

Author0xccfdd6968e678990186522abf912105b0c3ea749
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=ftyt

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