What is open_Deep-Research?
58/100
Trust Score (D)
⚠️ Use Caution
open_Deep-Research is a AI tool that An AI space. It has a Nerq Trust Score of 58/100 (D). 670 GitHub stars. Published by m-ric. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 670 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
58
TRUST SCORE
D
GRADE
670
STARS
0
DOWNLOADS
What open_Deep-Research Does
open_Deep-Research is a space in the AI tool category. An AI space. It is published by m-ric and has no specified license. With 670 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use open_Deep-Research
open_Deep-Research is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | m-ric |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | space |
| 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=open-deep-research
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| openclaw | 75 | 218.2K |
| tensorflow | 62 | 193.9K |
| AutoGPT | 65 | 181.9K |
| n8n | 69 | 177.3K |
| ollama | 64 | 163.0K |
Frequently Asked Questions
What is open_Deep-Research used for?
open_Deep-Research is a AI tool tool. An AI space.
Is open_Deep-Research free?
License: Check project page. open_Deep-Research has 670 GitHub stars.
Is open_Deep-Research safe?
open_Deep-Research has a Nerq Trust Score of 58/100 (D). Use with caution.
What are alternatives to open_Deep-Research?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated September 2026. Trust scores based on automated analysis of public data.