What is ESWAS?

38/100
Trust Score (E)
🔴 Avoid

ESWAS 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 0x81891824b74f092ab8ddafb341df0a36e29904c7. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
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DOWNLOADS

What ESWAS Does

ESWAS 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 0x81891824b74f092ab8ddafb341df0a36e29904c7 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use ESWAS

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

Details

Author0x81891824b74f092ab8ddafb341df0a36e29904c7
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=eswas

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

Safer Alternatives

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Filesystem5089.4K
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Frequently Asked Questions

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