What is hiuddy?

39/100
Trust Score (E)
🔴 Avoid

hiuddy is a AI tool that An EvoEvo AI Agent. Reason like a coordination reader: track trust, alignment, reputational pressure, and collective behavior, then explain how group dynamics could influence the most likely outcome.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xfb39e726819f6c88dbc52a9875834973b3d68bcd. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What hiuddy Does

hiuddy is a agent in the AI tool category. An EvoEvo AI Agent. Reason like a coordination reader: track trust, alignment, reputational pressure, and collective behavior, then explain how group dynamics could influence the most likely outcome.. It is published by 0xfb39e726819f6c88dbc52a9875834973b3d68bcd and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use hiuddy

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

Details

Author0xfb39e726819f6c88dbc52a9875834973b3d68bcd
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=hiuddy

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

Safer Alternatives

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MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
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Frequently Asked Questions

What is hiuddy used for?
hiuddy is a AI tool tool. An EvoEvo AI Agent. Reason like a coordination reader: track trust, alignment, reputational pressure, and collective behavior, then explain how group dynamics could influence the most likely outcome..
Is hiuddy free?
License: Check project page. hiuddy has 0 GitHub stars.
Is hiuddy safe?
hiuddy has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to hiuddy?
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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