Graph-Mem

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

Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.

No outside reports on file

Graph-Mem is distributed via PyPI (graphmem-mcp); review its source code, dependencies, and requested permissions before use.

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

Was this verdict for Graph-Mem helpful?

What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachLocal or standard API callsLOW
  • CredentialsNo API token requiredLOW
  • Package sourcePyPI (graphmem-mcp)PUBLIC

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

Install

uvx graphmem-mcp

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-24.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Graph-Mem

Graph-Mem is an MCP server focused on Web & browsing and Memory & knowledge: Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.

It is published on PyPI as graphmem-mcp and hosted on GitHub at Sathvik-1007/GraphMem-MCP. Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

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

PyPI command

uvx graphmem-mcp

PyPI (pip) command

pip install graphmem-mcp

MCP client config

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

json
{
  "mcpServers": {
    "graphmem-mcp": {
      "command": "uvx",
      "args": [
        "graphmem-mcp"
      ]
    }
  }
}

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

4/100
Listing last refreshed
2026-10-28

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

Risks to watch for

  • Dependency & version pinning: Distributed via PyPI (graphmem-mcp). 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 Graph-Mem?

Run uvx graphmem-mcp (or pip install graphmem-mcp) 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. Full setup docs and environment variables are in github.com/Sathvik-1007/GraphMem-MCP.

Are there security reports about Graph-Mem?

No reports found for this package in our research (last checked 2026-10-30). Graph-Mem currently holds Grade D (High 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 Graph-Mem actively maintained?

We do not have star or download counts on file for Graph-Mem yet (listing refreshed 2026-10-28). Check the commit history and open issues at github.com/Sathvik-1007/GraphMem-MCP before relying on it.

What are alternatives to Graph-Mem?

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

README badge and team notes

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

AgentArmorHQ Risk Grade D for Graph-Mem

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Graph-Mem](https://agentarmorhq.com/api/badge/sathvik-1007-graphmem-mcp)](https://agentarmorhq.com/skills/sathvik-1007-graphmem-mcp)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/sathvik-1007-graphmem-mcp"><img src="https://agentarmorhq.com/api/badge/sathvik-1007-graphmem-mcp" alt="AgentArmorHQ Risk Grade for Graph-Mem" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "sathvik-1007-graphmem-mcp"

Share with your security lead

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

### AgentArmorHQ Security Review Memo: Graph-Mem
- **Listing URL:** https://agentarmorhq.com/skills/sathvik-1007-graphmem-mcp
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0

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

#### Recommended Hardened Setup
- **Command:** `uvx graphmem-mcp`
- **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
Publisher
Sathvik-1007
Source code
github.com/Sathvik-1007/GraphMem-MCP
Install command
pip install graphmem-mcp
Est. context load
~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
Last updated
2026-10-28
Last graded
2026-10-24

Community

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