r3

Name: r3
Author: n3wth

by n3wthversion 1.3.2i★ –iRuns on your computer

Registry nameio.github.n3wth/r3

Install

Overview

Description from the maker (original English)

Local Redis memory MCP for AI apps with hybrid caching and optional Mem0 cloud backup.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: MEM0_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: MEM0_API_KEY, REDIS_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "r3": {
      "command": "npx",
      "args": [
        "-y",
        "@n3wth/r3"
      ],
      "env": {
        "MEM0_API_KEY": "your-value",
        "REDIS_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add r3 --env MEM0_API_KEY=your-value --env REDIS_URL=your-value -- npx -y @n3wth/r3

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "r3": {
      "command": "npx",
      "args": [
        "-y",
        "@n3wth/r3"
      ],
      "env": {
        "MEM0_API_KEY": "your-value",
        "REDIS_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "r3": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@n3wth/r3"
      ],
      "env": {
        "MEM0_API_KEY": "your-value",
        "REDIS_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

MEM0_API_KEY secret env
Optional Mem0 API key for cloud backup (get free at mem0.ai).
REDIS_URL env
Redis connection URL. Uses embedded Redis if unset.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account n3wth, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7270 servers in this category
Published to the registry more recently than 40% of the other 7270 servers in this category
Basic checks equal to or better than 100% of the other 7270 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is r3 safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: MEM0_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.3.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

r3

Persistent memory for MCP clients (Claude Desktop, Claude Code, Cursor) that runs entirely on your machine, with no accounts, no API keys, and no cloud service required to start.

Quick start

npx @n3wth/r3

That single command starts an MCP server backed by an embedded Redis instance and a local vector index. There is no separate database to install and no signup step.

How it works

MCP client (Claude Desktop / Claude Code / Cursor)

| v r3 MCP server (stdio) | +----+-----------------------+ | | embedded Redis vectra local index (redis-memory-server, (on-disk vector store auto-downloaded binary, for semantic search, no external service) no external service) | +--- optional ---> Mem0 cloud API (MEM0_API_KEY) cross-device sync, off by default

Embedded Redis — redis-memory-server downloads and manages a local Redis binary for you. It stores memory content and metadata. If it cannot start, r3 falls back to an in-process store.
vectra — a local, file-backed vector index used for semantic search. No network calls, no external vector database.
Mem0 (optional) — if MEM0_API_KEY is set, r3 also syncs to Mem0's cloud API so memories can follow you across machines. Without a key, nothing leaves your machine.

MCP client configuration

Claude Desktop

Edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):

"mcpServers": { "r3": { "command": "npx", "args": ["@n3wth/r3"] } } }

Claude Code

claude mcp add r3 "npx @n3wth/r3"

Cursor

Add to .cursor/mcp.json in your project (or the global Cursor MCP config):

"mcpServers": { "r3": { "command": "npx", "args": ["@n3wth/r3"] } } }

Restart the client after editing config. In a new conversation:

You: Remember that I prefer TypeScript and dark mode.

AI: I'll remember that.

[new conversation]

You: What are my preferences? AI: You prefer TypeScript and dark mode.

Tools

Tool	Description
`add_memory`	Store content with optional metadata and priority
`search_memory`	Query memories using semantic or keyword search
`get_all_memories`	List stored memories with pagination
`get_memory`	Retrieve a specific memory by ID
`update_memory`	Modify existing memory content or metadata
`delete_memory`	Remove a memory
`deduplicate_memories`	Find and merge duplicate memories
`cache_stats`	Report cache hit rate and storage stats
`sync_status`	Report Mem0 cloud sync status
`optimize_cache`	Run cache maintenance
`import_memories`	Bulk import memories

Enhanced mode (default, INTELLIGENCE_MODE=enhanced) adds:

Tool	Description
`extract_entities`	Extract named entities from text
`get_knowledge_graph`	Return the entity/relationship graph
`find_connections`	Find entities connected to a given entity

Configuration

Environment variables, all optional:

Variable	Description	Default
`REDIS_URL`	Use an external Redis instead of the embedded one	embedded server
`MEM0_API_KEY`	Enables Mem0 cloud sync	unset (local only)
`MEM0_USER_ID`	Namespace for memories	`default`
`INTELLIGENCE_MODE`	`enhanced` or `basic`	`enhanced`

Example with cloud sync enabled:

"mcpServers": { "r3": { "command": "npx", "args": ["@n3wth/r3"], "env": { "MEM0_API_KEY": "mem0_..." } } } }

Comparison

	r3	mem0 (OSS)	zep
Runs fully local with zero config	yes (embedded Redis + vectra)	requires a Postgres/vector DB you configure	requires a Postgres instance you configure
Needs an API key to try it	no	no (self-hosted) / yes (cloud)	yes (cloud), or self-hosted setup
Optional cloud sync	yes, via Mem0	n/a (is the cloud option)	yes

This table only reflects setup requirements observed in each project's own documentation, not benchmark performance or feature completeness. Verify against current upstream docs before relying on it.

Known issues

See LAUNCH_AUDIT.md for current limitations, including a native module build failure on some macOS setups.

Documentation

Full documentation at r3.n3wth.com.

License

MIT

r3

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

r3

Quick start

How it works

MCP client configuration

Claude Desktop

Claude Code

Cursor

Tools

Configuration

Comparison

Known issues

Documentation

License