AI & Memory MCP Server

MemoryMesh

Name: MemoryMesh
Author: CheMiguel23

Enhanced graph-based memory with a focus on AI role-play and story generation

Scan flagged something by CheMiguel23336MITTypeScriptIntermediatestdio

View on GitHub Install Guide

Install

No auto-install command available for this server.

Check the GitHub repository for setup instructions

Safety Report

67% Scan flagged something

Scanned 5 months ago

4 passed 1 warnings 1 failed

Security

Authentication

details

No authentication mechanism detected in source code

Fail

CORS Policy

details

stdio transport — CORS not applicable

N/A

Rate Limiting

details

No rate limiting mechanism detected

Info

Known CVEs

details

No known CVEs in dependencies

Pass

Code Quality

Dependency Audit

details

No known vulnerable dependencies detected

Pass

Dangerous Patterns

details

No dangerous code patterns detected

Pass

License

details

License: MIT

Pass

Community

Maintenance Status

details

Last commit 6 months ago

Warning

Learn about our security methodology →

Frequently Asked Questions

What is MemoryMesh?

Enhanced graph-based memory with a focus on AI role-play and story generation

Is MemoryMesh safe to use?

We cannot tell you that, and nobody scanning at this scale can. What we did in March 2026 was shallow-clone MemoryMesh and run five keyword searches over its source: auth identifiers, CORS configuration, rate-limit identifiers, the dependency manifest against a hardcoded list of 18 known-vulnerable packages, and unguarded eval/exec calls. At least one matched — the specific finding is in the scan report on this page. A text search cannot follow a variable, judge intent, or tell you what a server does once it is running, so "nothing matched" is not "safe". What the scan does and does not cover is written out at /mcp/security.

What are alternatives to MemoryMesh?

Similar MCP servers include Context7, Cognee, Hindsight. Each serves a similar purpose but may differ in features, language, and compatibility.