Is Mnemon MCP Server safe to use?

Mnemon MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install Mnemon MCP Server?

Mnemon MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Mnemon MCP Server do?

Mnemon MCP Server provides 10 tools: memory_add, memory_search, memory_update, memory_delete, memory_inspect and 5 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Mnemon MCP Server?

Mnemon MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Mnemon MCP Server actively maintained?

Mnemon MCP Server is recently maintained — last commit was 62 days ago. It has 2 GitHub stars.

Mnemon MCP Server

mnemon-mcp

Persistent layered memory for AI agents. SQLite FTS5, fact versioning, zero-cloud.

2 39/wk 10 tools GitHub npm

No known CVEs

No license

Maintained

Last commit 62d ago

Works with most clients

Transport: stdio, sse, http

10 tools · ~500 tok

Grade A · 0.3% of 200K ctx

Edit this pageView history

Data AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mnemon-mcp": {
      "command": "mnemon-mcp"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-nikitacometa-mnemon-mcp)](https://mcppedia.org/s/io-github-nikitacometa-mnemon-mcp)

Read me

What Mnemon MCP Server does

Persistent layered memory for AI agents. Local-first. Zero-cloud. Single SQLite file.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'mnemon-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

82/100across 5 weighted dimensions

How we score →

0255075100

−18

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked mnemon-mcp against OSV.dev.

Inventory

Tools (10)

Click any tool to inspect its schema.

~500 tokens total

Inventory

Resources (4)

stats

Aggregate stats per layer

memory://stats

recent

Memories created/updated in last 24h

memory://recent

layer

All active memories in a layer

memory://layer/{layer}

entity

All active memories about an entity

memory://entity/{name}

Inventory

Prompts (3)

recall

Tell me everything you know about X

context-load

Load relevant context before starting a task

journal

Create a structured journal entry

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Mnemon MCP Server safe to use?: Mnemon MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Mnemon MCP Server?: Mnemon MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Mnemon MCP Server do?: Mnemon MCP Server provides 10 tools: memory_add, memory_search, memory_update, memory_delete, memory_inspect and 5 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Mnemon MCP Server?: Mnemon MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Mnemon MCP Server actively maintained?: Mnemon MCP Server is recently maintained — last commit was 62 days ago. It has 2 GitHub stars.

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Community

Discussion

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Edit this pageView history

Data AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mnemon-mcp": {
      "command": "mnemon-mcp"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-nikitacometa-mnemon-mcp)](https://mcppedia.org/s/io-github-nikitacometa-mnemon-mcp)

Read me

What Mnemon MCP Server does

Persistent layered memory for AI agents. Local-first. Zero-cloud. Single SQLite file.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'mnemon-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

mnemon-mcp

Persistent layered memory for AI agents. Local-first. Zero-cloud. Single SQLite file.

Landing Page · npm · GitHub

Your AI agent forgets everything after each session. Mnemon fixes that.

It gives any MCP-compatible client — OpenClaw, Claude Code, Cursor, Windsurf, or your own — a structured long-term memory backed by a single SQLite database on your machine. No API keys, no cloud, no telemetry. Just npm install and your agent remembers.

Why Layered Memory?

Flat key-value stores treat "what happened yesterday" the same as "never commit without tests." That's wrong — different kinds of knowledge have different lifetimes and access patterns.

Mnemon organizes memories into four layers:

Layer	What it stores	How it's accessed	Lifetime
Episodic	Events, sessions, journal entries	By date or period	Decays (30-day half-life)
Semantic	Facts, preferences, relationships	By topic or entity	Stable
Procedural	Rules, workflows, conventions	Loaded at startup	Rarely changes
Resource	Reference material, book notes	On demand	Decays slowly (90 days)

A journal entry from last Tuesday and a coding rule that never changes live in different layers — because they should.

Quick Start

Install

npm install -g mnemon-mcp

Or from source:

git clone https://github.com/nikitacometa/mnemon-mcp.git
cd mnemon-mcp && npm install && npm run build

Configure Your MCP Client

OpenClaw

openclaw mcp register mnemon-mcp --command="mnemon-mcp"

Or add to ~/.openclaw/mcp_config.json:

{
  "mnemon-mcp": {
    "command": "mnemon-mcp"
  }
}

Claude Code

Add to ~/.claude/mcp.json:

{
  "mcpServers": {
    "mnemon-mcp": {
      "command": "mnemon-mcp"
    }
  }
}

Cursor / Windsurf / Other MCP clients

Add to your client's MCP config:

{
  "mcpServers": {
    "mnemon-mcp": {
      "command": "mnemon-mcp"
    }
  }
}

Running from source?

Use the full path to the compiled entry point:

{
  "mnemon-mcp": {
    "command": "node",
    "args": ["/absolute/path/to/mnemon-mcp/dist/index.js"]
  }
}

Verify

echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | mnemon-mcp

You should see 10 tools in the response. The database (~/.mnemon-mcp/memory.db) is created automatically on first run.

That's it. Your agent now has persistent memory.

What It Can Do

10 MCP Tools

Tool	What it does
`memory_add`	Store a memory with layer, entity, confidence, importance, and optional TTL
`memory_search`	Full-text or exact search with filters by layer, entity, date, scope, confidence
`memory_update`	Update in-place or create a versioned replacement (superseding chain)
`memory_delete`	Delete a memory; re-activates its predecessor if any
`memory_inspect`	Get la

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

82/100across 5 weighted dimensions

How we score →

0255075100

−18

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked mnemon-mcp against OSV.dev.

Inventory

Tools (10)

Click any tool to inspect its schema.

~500 tokens total

Inventory

Resources (4)

stats

Aggregate stats per layer

memory://stats

recent

Memories created/updated in last 24h

memory://recent

layer

All active memories in a layer

memory://layer/{layer}

entity

All active memories about an entity

memory://entity/{name}

Inventory

Prompts (3)

recall

Tell me everything you know about X

context-load

Load relevant context before starting a task

journal

Create a structured journal entry

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Mnemon MCP Server safe to use?: Mnemon MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Mnemon MCP Server?: Mnemon MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Mnemon MCP Server do?: Mnemon MCP Server provides 10 tools: memory_add, memory_search, memory_update, memory_delete, memory_inspect and 5 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Mnemon MCP Server?: Mnemon MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Mnemon MCP Server actively maintained?: Mnemon MCP Server is recently maintained — last commit was 62 days ago. It has 2 GitHub stars.