What is Nokenamental?
Nokenamental is a AI tool that The AI Mental Wellness Companion provides daily emotional support, journaling prompts, and mood tracking tools using a conversational LLM trained in cognitive behavioral frameworks. Its context protoc. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x8ee5c70b143c3c7b5389195c86cc3b988f6104f1. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Nokenamental Does
Nokenamental is a agent in the AI tool category. The AI Mental Wellness Companion provides daily emotional support, journaling prompts, and mood tracking tools using a conversational LLM trained in cognitive behavioral frameworks. Its context protocol ensures encrypted journaling storage, mood trend analytics, and private session memory. This supp. It is published by 0x8ee5c70b143c3c7b5389195c86cc3b988f6104f1 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Nokenamental
Nokenamental is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x8ee5c70b143c3c7b5389195c86cc3b988f6104f1 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=nokenamental
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.