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Memento MCP server

by runmemento.com·com.runmemento/memento·v0.9.2·24 stars
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Local-first, LLM-agnostic memory layer for AI assistants.

C65/100grade C
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Safety scan
C65/100

full report

Adoption
Growing

24 stars75 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Memento tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

2 medium
  • Code scan11 source files scanned15/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 133 days ago8/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace7/10

Findings (2)

  • mediumnpm install lifecycle script presentinstall.script
  • mediumnpm install lifecycle script presentinstall.script
    package.json: …ildinfo", "test": "vitest run", "postinstall": "node ./scripts/postinstall.mjs" } }…
Overall 65/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Memento compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
65/100
higher than 25% of 4,460 AI and agents servers
GitHub stars
24
more than 90% of 2,711 AI and agents servers
Downloads a week
75
more than 56% of 1,538 AI and agents servers with a package

Install Memento in Claude Code, Cursor or VS Code

Runs npx -y @psraghuveer/memento on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add memento -- npx -y @psraghuveer/memento
Add to Cursor

What the publisher says

From the Memento repository's README, as published. We do not edit it. Read it on GitHub

A local-first, LLM-agnostic memory layer for AI assistants runmemento.com

Every AI session starts the same way: re-explaining your preferences, your project's conventions, the decisions you made last week, the dead-ends to avoid. Each tool solves this in its own siloed way (CLAUDE.md, .cursorrules, copilot-instructions.md, ChatGPT Memory) — but you, the human, are the one constant. Your memory shouldn't fragment across vendors.

Memento is one place where that memory lives. It runs an MCP server over a local SQLite file, so any MCP-capable AI assistant — Claude Desktop, Claude Code, Cursor, GitHub Copilot, Cline, OpenCode, Aider, a research bot, a custom agent — can read and write durable, structured memory about you, your work, and your decisions. Local-first, no outbound network calls by default, no vendor lock-in.

A fresh chat with no prior context — Memento supplies the memory of what was decided last week.

Quickstart

Three steps from zero to a working memory layer:

1. Run init (interactive on a TTY)

npx @psraghuveer/memento init

Creates the database under the XDG default ($XDGDATAHOME/memento/memento.db, typically ~/.local/share/memento/memento.db on POSIX), runs migrations, and — on a TTY — walks you through four one-keystroke setup questions:

  • Your preferred name. Stored as the user.preferredName config key so memories read "Raghu prefers …" instead of "The user prefers …".
  • Install the bundled skill? One y/N. Copies skills/memento/ into ~/.claude/skills/ for clients that load Anthropic-format skills.
  • Seed with a starter pack? Pick one of four bundled packs (engineering-simplicity, pragmatic-programmer, twelve-factor-app, google-sre) so your store has useful memories on day one. Skip to start empty.
  • Auto-install the persona snippet? Detects AI clients on your machine and writes a marker-wrapped block to each one's user-scope custom-instructions file (~/.claude/CLAUDE.md for Claude Code, ~/.config/opencode/AGENTS.md for OpenCode, ~/Documents/Cline/Rules/memento.md for Cline). Idempotent and removable. UI-only clients (Cowork, Claude Desktop, Claude Chat, Cursor User Rules) get printed paste instructions instead.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Memento: common questions

Is Memento MCP server safe?
With care: it is graded C, so read the findings first (65/100). Read the Memento safety report
How do I install Memento?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Memento need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is Memento maintained?
The last commit was 171 days ago (2026-05-17). The latest release is v0.9.2.
What can I use instead of Memento?
Servers from other publishers that do the same job: Agent Recall MCP server, Basic Memory MCP server and agent-device MCP server.
How does Memento compare with other AI and agents MCP servers?
safety score 65/100 (higher than 25% of 4,460 AI and agents servers); github stars 24 (more than 90% of 2,711 AI and agents servers); downloads a week 75 (more than 56% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to Memento

Same job from other publishers: the closest match first, then the best rated.

  • Agent Recall
    Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
    A
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • agent-device
    Open source device layer for AI agents: control mobile, web, TV, and desktop apps over MCP
    A
  • HOL Guard
    Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
    A
  • Agent-Native Chat
    Minimal chat-first app with durable threads, actions, and the app-agent loop
    A