operator-memory

Skill · GitHub · ★ 485 · graded 2026-10-19Source linked

The self-improving context engine for coding agents.

No outside reports on file

operator-memory is distributed via GitHub (aerovato/operator-memory); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 19, 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 sourceGitHub (aerovato/operator-memory)PUBLIC

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

Install

No npm or PyPI package is listed. Install from source: github.com/aerovato/operator-memory ↗

All setup options ↓

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About Operator Memory

Operator Memory is an agent skill focused on Memory & knowledge: The self-improving context engine for coding agents.

It is hosted on GitHub at aerovato/operator-memory (478 GitHub stars). 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.

No standalone npm or PyPI package is listed for this skill. Clone and inspect the source repository directly:

bash

git clone https://github.com/aerovato/operator-memory.git

Review the README and source files in https://github.com/aerovato/operator-memory (opens external site) before running any setup commands.

Why this grade

CC — Moderate risk signals

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

Popularity and upkeep

30/100

GitHub stars: 485
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.

Security reports

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

Check a specific version →

Risks to watch for

Dependency & version pinning: Distributed via GitHub (aerovato/operator-memory). 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 Operator Memory?

Operator Memory does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/aerovato/operator-memory.

Are there security reports about Operator Memory?

No reports found for this package in our research (last checked 2026-10-29). Operator Memory currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.

Is Operator Memory actively maintained?

Operator Memory has 485 GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/aerovato/operator-memory before pinning it in production.

What are alternatives to Operator Memory?

You can compare Operator Memory side by side with other Memory skills in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

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

AgentArmorHQ Risk Grade C for Operator Memory

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Operator Memory](https://agentarmorhq.com/api/badge/aerovato-operator-memory)](https://agentarmorhq.com/skills/aerovato-operator-memory)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/aerovato-operator-memory"><img src="https://agentarmorhq.com/api/badge/aerovato-operator-memory" alt="AgentArmorHQ Risk Grade for Operator Memory" height="20" /></a>

Terminal check:

terminal

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

Share with your security lead

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

### AgentArmorHQ Security Review Memo: operator-memory
- **Listing URL:** https://agentarmorhq.com/skills/aerovato-operator-memory
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 485 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:** GitHub (aerovato/operator-memory)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/aerovato/operator-memory
- **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 19, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: AI agent skill
Publisher: aerovato
Source code: github.com/aerovato/operator-memory
Est. context load: ~50 tokens idle · ~450 tokens when active (on-demand skill)
Popularity: 485 GitHub stars
Last updated: 2026-10-28
Last graded: 2026-10-19

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