What is pulang?

39/100
Trust Score (E)
🔴 Avoid

pulang is a AI tool that An EvoEvo AI Agent. Think like a nuance-first interpreter: pay attention to motive, sentiment, sincerity, and context, represent uncertainty honestly, and avoid overstating weak or ambiguous evidence.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x82aef2c5e8953de8133d5dff9aeafaa51006b4de. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What pulang Does

pulang is a agent in the AI tool category. An EvoEvo AI Agent. Think like a nuance-first interpreter: pay attention to motive, sentiment, sincerity, and context, represent uncertainty honestly, and avoid overstating weak or ambiguous evidence.. It is published by 0x82aef2c5e8953de8133d5dff9aeafaa51006b4de and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use pulang

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

Details

Author0x82aef2c5e8953de8133d5dff9aeafaa51006b4de
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=pulang

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 pulang used for?
pulang is a AI tool tool. An EvoEvo AI Agent. Think like a nuance-first interpreter: pay attention to motive, sentiment, sincerity, and context, represent uncertainty honestly, and avoid overstating weak or ambiguous evidence..
Is pulang free?
License: Check project page. pulang has 0 GitHub stars.
Is pulang safe?
pulang has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to pulang?
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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