What is genai-stack?
56/100
Trust Score (D)
⚠️ Use Caution
genai-stack is a AI tool that Langchain + Docker + Neo4j + Ollama. It has a Nerq Trust Score of 56/100 (D). 5.2K GitHub stars. Published by Unknown. Last analyzed November 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 5.2K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
56
TRUST SCORE
D
GRADE
5.2K
STARS
0
DOWNLOADS
What genai-stack Does
genai-stack is a tool in the AI tool category. Langchain + Docker + Neo4j + Ollama. It is published by an independent developer and has no specified license. With 5.2K GitHub stars and 0 downloads, it has a large and active community of users and contributors.
Who Should Use genai-stack
genai-stack is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | tool |
| 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=docker-genai-stack
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| openclaw | 75 | 218.2K |
| stable-diffusion-webui | 55 | 160.7K |
| prompts.chat | 55 | 145.8K |
| generative-ai-for-beginners | 62 | 106.7K |
| ComfyUI | 62 | 103.7K |
Frequently Asked Questions
What is genai-stack used for?
genai-stack is a AI tool tool. Langchain + Docker + Neo4j + Ollama.
Is genai-stack free?
License: Check project page. genai-stack has 5.2K GitHub stars.
Is genai-stack safe?
genai-stack has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to genai-stack?
Top alternatives: openclaw, stable-diffusion-webui, prompts.chat. See full comparison.
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Last updated November 2026. Trust scores based on automated analysis of public data.