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R3 (Recall)

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An intelligent memory MCP server that provides AI applications with semantic search, entity extraction, and knowledge graph capabilities using local Redis cachi

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About

An intelligent memory MCP server that provides AI applications with semantic search, entity extraction, and knowledge graph capabilities using local Redis caching and optional cloud sync. It enables LLMs to store and retrieve long-term context across sessions with high-performance multi-tier storage.

README

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 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

from github.com/n3wth/r3

Install R3 (Recall) in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install r3-recall

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add r3-recall --env CACHE_STRATEGY="" --env MAX_CONNECTIONS="" --env MEM0_API_KEY="" --env MEM0_USER_ID="" --env REDIS_URL="" -- npx -y @n3wth/r3

Step-by-step: how to install R3 (Recall)

FAQ

Is R3 (Recall) MCP free?

Yes, R3 (Recall) MCP is free — one-click install via Unyly at no cost.

Does R3 (Recall) need an API key?

Yes, it requires environment variables: CACHE_STRATEGY, MAX_CONNECTIONS, MEM0_API_KEY, MEM0_USER_ID, REDIS_URL. Unyly injects them into the config during install.

Is R3 (Recall) hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install R3 (Recall) in Claude Desktop, Claude Code or Cursor?

Open R3 (Recall) on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

Changes

Versions and requested access over time.

  • New version published
  • New version published
  • New version published
  • New version published
  • New version published
  • New version published
  • New version published
  • New version published

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