memorymesh

MCP server · PyPI · graded 2026-10-24Source linked

Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.

No outside reports on file

memorymesh reads local files; restrict its folder reach, network access, and credentials before installing.

Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesReads local filesNOTED
Command executionNo shell command runner notedLOW
Network reachLocal or standard API callsLOW
CredentialsNo API token requiredLOW
Package sourcePyPI (memorymesh)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

uvx memorymesh

All setup options ↓

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About Memorymesh

Memorymesh is an MCP server focused on Data & databases and Memory & knowledge: Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.

It is published on PyPI as memorymesh. Based on its public metadata, its operational scope includes: reads local files.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

PyPI command

uvx memorymesh

PyPI (pip) command

pip install memorymesh

MCP client config

For Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json).

json

{
  "mcpServers": {
    "memorymesh": {
      "command": "uvx",
      "args": [
        "memorymesh"
      ]
    }
  }
}

Why this grade

FF — Many risk signals

Signal-based grade (0/7 points): no public source code found. This reflects adoption and transparency, not a code review.

Popularity and upkeep

4/100

Listing last refreshed: 2026-10-24

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

Local file read access: Reads local documents or database files. Point it only at the specific files needed for the task so sensitive workspace files remain out of reach.
Dependency & version pinning: Distributed via PyPI (memorymesh). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Memorymesh?

Run uvx memorymesh (or pip install memorymesh) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page.

Are there security reports about Memorymesh?

No reports found for this package in our research (last checked 2026-10-29). Memorymesh currently holds Grade F (Many risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is Memorymesh actively maintained?

We do not have star or download counts on file for Memorymesh yet (listing refreshed 2026-10-24). Check the commit history and open issues before relying on it.

What are alternatives to Memorymesh?

You can compare Memorymesh side by side with other SQLite, Memory MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

Maintain or use Memorymesh? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade F for Memorymesh

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Memorymesh](https://agentarmorhq.com/api/badge/memorymesh)](https://agentarmorhq.com/skills/memorymesh)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/memorymesh"><img src="https://agentarmorhq.com/api/badge/memorymesh" alt="AgentArmorHQ Risk Grade for Memorymesh" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "memorymesh"

Share with your security lead

Need sign-off to use memorymesh? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: memorymesh
- **Listing URL:** https://agentarmorhq.com/skills/memorymesh
- **Type:** App connector
- **Risk Grade:** Grade F (Many risk signals)
- **Outside Security Advisories on File:** 0

#### Permission & Blast-Radius Signals
- **Local files:** Reads local files
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** PyPI (memorymesh)

#### Recommended Hardened Setup
- **Command:** `uvx memorymesh`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Install command: pip install memorymesh
Est. context load: ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
Last updated: 2026-10-24
Last graded: 2026-10-24

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