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r3

npm version npm downloads License: MIT

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.

Memory persisting across two separate server processes

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 Redisredis-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

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