mneme

Skill · PyPI · ★ 29 · graded 2026-10-24Source linked

Architectural drift prevention for the agentic AI SDLC.

No outside reports on file

mneme is distributed via PyPI (mneme-hq); 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.

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What it can access

Local filesNo local folder access notedLOW
Command executionRuns shell or system commandsREVIEW
Network reachConnects to outside service APINOTED
CredentialsNo API token requiredLOW
Package sourcePyPI (mneme-hq)PUBLIC

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

Install

uvx mneme-hq

All setup options ↓

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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: C (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 Mneme

Mneme is an agent skill focused on General: Architectural drift prevention for the agentic AI SDLC.

It is published on PyPI as mneme-hq and hosted on GitHub at MnemeHQ/mneme (28 GitHub stars, 687 PyPI downloads). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

Check these steps against the project’s own instructions before running anything.

Run the PyPI package mneme-hq in an isolated environment:

bash

uvx mneme-hq

See https://github.com/MnemeHQ/mneme (opens external site) for required environment variables.

Why this grade

CC — Moderate risk signals

Signal-based grade (2/7 points): listed in several sources, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

40/100

GitHub stars: 29
PyPI downloads: 687
Listing last refreshed: 2026-10-30

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 (mneme-hq). 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 Mneme?

Run uvx mneme-hq (or pip install mneme-hq) in your terminal. Full setup docs and environment variables are in github.com/MnemeHQ/mneme.

Are there security reports about Mneme?

No reports found for this package in our research (last checked 2026-10-30). Mneme currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.

Is Mneme actively maintained?

Mneme has 29 GitHub stars and 687 PyPI downloads. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/MnemeHQ/mneme before pinning it in production.

What are alternatives to Mneme?

Compare Mneme side by side with similar skills in the Related tools section on this page, or browse all skills on AgentArmorHQ.

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

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Mneme](https://agentarmorhq.com/api/badge/mnemehq-mneme)](https://agentarmorhq.com/skills/mnemehq-mneme)

HTML embed:

html

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

Terminal check:

terminal

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

Share with your security lead

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

### AgentArmorHQ Security Review Memo: mneme
- **Listing URL:** https://agentarmorhq.com/skills/mnemehq-mneme
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 29 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** PyPI (mneme-hq)

#### Recommended Hardened Setup
- **Command:** `uvx mneme-hq`
- **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: AI agent skill
Publisher: MnemeHQ
Source code: github.com/MnemeHQ/mneme
Install command: pip install mneme-hq
Est. context load: ~50 tokens idle · ~450 tokens when active (on-demand skill)
Popularity: 29 GitHub stars, 687 PyPI downloads
Last updated: 2026-10-30
Last graded: 2026-10-24

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