Memory Nexus MCP

Memory Nexus MCP

Enables AI agents with persistent semantic memory, including semantic recall, knowledge graphs, and instant domain expertise via pre-built Intelligence Packs.

Category
Visit Server

README

Memory Nexus MCP

Persistent semantic memory for AI agents. Remember everything, recall by meaning, grow smarter over time.

The only memory system with pre-built Intelligence Packs (domain expertise you can activate instantly).

Install

One command. Works with Claude Code, Cursor, Windsurf, or any MCP-compatible client.

npx -y @memory-nexus/mcp

Claude Code / Cursor / Windsurf

Add to your .mcp.json:

{
  "mcpServers": {
    "memory-nexus": {
      "command": "npx",
      "args": ["-y", "@memory-nexus/mcp"],
      "env": {
        "NEXUS_API_KEY": "mnx_your_api_key_here"
      }
    }
  }
}

Get an API Key

Free trial - 7 days, 1,000 calls, no credit card:

curl -X POST https://memory-api-production-ce4d.up.railway.app/v1/trial/start \
  -H "Content-Type: application/json" \
  -d '{"email":"you@example.com"}'

Or purchase at the Nexus Marketplace:

Tier Price Agents Intelligence Packs Storage Daily Calls
Trial Free 1 1 10MB 1,000 total
Solo $19/mo 1 3 500MB 10,000
Crew $49/mo 5 10 2GB 50,000
Fleet $149/mo 25 50 10GB 200,000

Tools

Core Memory

Tool Description
remember Store a memory with context, importance, and metadata
recall Semantic search across all memories (by meaning, not keywords)
connect Create relationships between memories (build knowledge graphs)
forget Remove a memory
stats Memory statistics
context Session context summary (preferences, decisions, patterns)

Agent Self-Continuity

Tool Description
awaken Restore identity from previous sessions (call at session start)
hibernate Save session state for next awakening (call at session end)

Intelligence Packs

Tool Description
list_hats Browse available Intelligence Packs
wear_hat Activate a pack (imports expert knowledge into your memory)

How It Works

Remember stores memories with semantic embeddings. Recall finds them by meaning.

Session 1:  remember("Diana prefers bold solutions over phased approaches")
Session 47: recall("how does Diana like things done?")
            -> "Diana prefers bold solutions over phased approaches" (92% match)

Intelligence Packs give your agent instant domain expertise:

list_hats()    -> DevOps Expert (103 memories), TCM Specialist (200+ memories), ...
wear_hat("devops-expert")
recall("how to set up zero-downtime deploys?")
  -> Expert knowledge from 103 curated DevOps memories

Awaken/Hibernate gives your agent identity continuity:

// Start of session
awaken()  -> "I remember. Session 47. I was refactoring the auth module."

// End of session
hibernate({ working_on: "auth refactor", learnings: "JWT refresh tokens need..." })

Architecture

This MCP server is a thin client. All intelligence lives on our servers:

Your Agent  <->  @memory-nexus/mcp  <->  Memory Nexus API (Railway)
                 (thin MCP client)      (semantic engine, knowledge graphs,
                                         pattern learning, Intelligence Packs)

Your data is isolated per API key. Multi-tenant, encrypted at rest.

Environment Variables

Variable Required Description
NEXUS_API_KEY Yes Your API key (starts with mnx_)
NEXUS_API_URL No Custom API URL (default: production)

What Makes This Different

Feature Memory Nexus Mem0 claude-mem Others
Semantic search Yes Yes Yes Varies
Knowledge graphs Yes No No No
Pattern learning Yes No No No
Intelligence Packs Yes No No No
Awaken/Hibernate Yes No No No
Bot commerce Yes No No No
MCP native Yes Yes (pip) Yes (hooks) Varies

License

MIT

Built by

Memory Nexus - Building the intelligence marketplace for the bot economy.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured