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mneme

Skill · GitHub · ★ 7 · graded 2026-10-19Source linked

Persistent long-term memory for Claude Code agents — SQLite + FTS5 + sqlite-vec + RRF hybrid recall over MCP, with Chinese tokenization. Local-first, graceful degradation.

No outside reports on file

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

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 filesReads local filesNOTED
  • Command executionNo shell command runner notedLOW
  • Network reachLocal or standard API callsLOW
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (AgentGameLab/mneme)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/AgentGameLab/mneme ↗

All setup options ↓

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About Mneme

Mneme is an agent skill focused on Developer tools and Data & databases: Persistent long-term memory for Claude Code agents — SQLite + FTS5 + sqlite-vec + RRF hybrid recall over MCP, with Chinese tokenization. Local-first, graceful degradation.

It is hosted on GitHub at AgentGameLab/mneme (7 GitHub stars). 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.

No npm or PyPI package is listed for this agent skill. Source code and setup steps: github.com/AgentGameLab/mneme.

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

12/100
GitHub stars
7
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

  • 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 GitHub (AgentGameLab/mneme). 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?

Mneme does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/AgentGameLab/mneme.

Are there security reports about Mneme?

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

Mneme has 7 GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/AgentGameLab/mneme before pinning it in production.

What are alternatives to Mneme?

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

README badge and team notes

Maintain or use Mneme? 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 Mneme

GitHub README Markdown:

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

HTML embed:

html
<a href="https://agentarmorhq.com/skills/agentgamelab-mneme"><img src="https://agentarmorhq.com/api/badge/agentgamelab-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 "agentgamelab-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/agentgamelab-mneme
- **Type:** AI agent skill
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 7 GitHub stars

#### 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:** GitHub (AgentGameLab/mneme)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/AgentGameLab/mneme
- **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
AgentGameLab
Source code
github.com/AgentGameLab/mneme
Est. context load
~68 tokens idle · ~1.2k tokens when active (on-demand skill)
Popularity
7 GitHub stars
Last updated
2026-10-28
Last graded
2026-10-19

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