What is MemoryMesh?
MemoryMesh is a AI tool that Store and query structured data in local knowledge graphs.. It has a Nerq Trust Score of 45/100 (D). 335 GitHub stars. Published by https://github.com/chemiguel23/memorymesh. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 335 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What MemoryMesh Does
MemoryMesh is a mcp_server in the AI tool category. Store and query structured data in local knowledge graphs.. It is published by https://github.com/chemiguel23/memorymesh and has no specified license. With 335 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use MemoryMesh
MemoryMesh is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/chemiguel23/memorymesh |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| 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=memorymesh
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Tencent CloudBase | 47 | 970 |
| Nuxt.js | 47 | 899 |
| Context Portal | 48 | 753 |
| Tapo Smart Home | 47 | 733 |
| QueryWeaver | 47 | 724 |
Frequently Asked Questions
Last updated April 2026. Trust scores based on automated analysis of public data.