What is AIDeepinApp?
73/100
Trust Score (B)
✅ Safe
AIDeepinApp is a coding that Complete AI Agent DePIN Application with Llama 3.5 - Open Source. It has a Nerq Trust Score of 73/100 (B). 0 GitHub stars. Published by Omasx. Last analyzed May 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
73
TRUST SCORE
B
GRADE
0
STARS
0
DOWNLOADS
What AIDeepinApp Does
AIDeepinApp is a agent in the coding category. Complete AI Agent DePIN Application with Llama 3.5 - Open Source. It is published by Omasx and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use AIDeepinApp
AIDeepinApp is well-suited for production use given its strong trust score and active community.
Details
| Author | Omasx |
|---|---|
| Category | coding |
| License | MIT |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=aideepinapp
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 63 | 181.9K |
| ollama | 58 | 163.0K |
| langchain | 71 | 127.8K |
| system-prompts-and-models-of-ai-tools | 56 | 115.3K |
| opencode | 64 | 108.1K |
Frequently Asked Questions
What is AIDeepinApp used for?
AIDeepinApp is a coding tool. Complete AI Agent DePIN Application with Llama 3.5 - Open Source.
Is AIDeepinApp free?
License: MIT. AIDeepinApp has 0 GitHub stars.
Is AIDeepinApp safe?
AIDeepinApp has a Nerq Trust Score of 73/100 (B). Safe for production use.
What are alternatives to AIDeepinApp?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated May 2026. Trust scores based on automated analysis of public data.