StudioMeyer Memory: Long-Term Memory for Claude — 53 Tools, Installed in One Minute

Claude forgets everything. Every new session starts from zero -- no knowledge from yesterday, no memory of your project, no learning curve. For a one-off conversation, that's fine. For a business using AI daily, it's a real problem.

StudioMeyer Memory is an MCP server that gives Claude long-term memory. Not a plugin, not a workaround -- a proper memory system with a knowledge graph, session tracking, and automatic knowledge linking. Installed in under a minute.

What exactly does StudioMeyer Memory do?

Imagine Claude remembering every project, every decision, and every insight from previous conversations. That's what Memory does. The system stores knowledge in two categories -- just like the human brain:

• Episodic memory: What happened? Errors, incidents, specific situations
• Semantic memory: What is true? Facts, architectures, business rules

In your next conversation, Claude automatically loads the relevant context. You don't have to repeat anything.

53 Tools in 10 Categories

Memory isn't a single tool -- it's an entire system:

• Session management: Start, end, reload context, proactive suggestions
• Store knowledge: Learnings with automatic duplicate detection, decisions with reasoning
• Knowledge graph: Link entities (customers, projects, tools) with observations and relationships
• Intelligent search: Four search layers (semantic, fuzzy, full-text, substring) find even vague queries
• Analysis: Knowledge profile, reflection, export, self-improvement
• Maintenance: Detect contradictions, clean up duplicates, archive outdated knowledge

Installation: Under One Minute

Option 1: Hosted (recommended for beginners)

Add this URL in Claude Desktop or Cursor:

https://memory.studiomeyer.io/mcp

OAuth login in the browser, done. No database, no Docker, no server setup.

Option 2: Self-hosted

git clone https://github.com/madetocreate/mcp-nex.git
cd mcp-nex && npm install
cp .env.example .env  # Add DATABASE_URL
npm run build && npx mcp-nex-init

Then configure in Claude Desktop:

{
  "mcpServers": {
    "memory": {
      "command": "node",
      "args": ["/path/to/mcp-nex/dist/server.js"],
      "env": { "DATABASE_URL": "postgresql://..." }
    }
  }
}

Both options work with Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, and Zed.

What you can actually do with it

For consultants and freelancers

You work on five projects at once. Without Memory, you explain the tech stack, client requirements, and past decisions to Claude every time. With Memory:

"Open the Mueller GmbH project. What's the latest status?"

Claude loads the entire context: architecture, open tasks, last decisions. Context switching in under a minute instead of ten.

For small agencies

Your marketing agent doesn't know what the sales agent learned. Content gets repeated. With Memory, agents share a common knowledge base -- without data flowing uncontrolled. Each agent has its own scope, but access to shared insights.

For business owners in daily operations

You regularly ask Claude about product details, competitor info, or customer history. Without Memory, every conversation starts from scratch. With Memory, Claude becomes your company's institutional memory:

• "What do we know about Competitor X?"
• "What pricing decision did we make?"
• "Show me all learnings about onboarding."

How the search works

Memory uses four search layers that are combined:

1. Semantic search (pgvector) -- Finds similar concepts, even with different phrasing
2. Fuzzy search (Trigram) -- Handles typos and imprecise terms
3. Full-text search -- Classic keyword search for German and English content
4. Substring search -- Finds partial terms as a fallback

The result: You can ask vaguely ("that thing with the SSL certificate") and still get the right answer.

How Memory compares to alternatives

There are now several AI memory solutions. Here's the honest comparison:

The key difference: Memory operations are database queries, not LLM calls. This makes true lifetime pricing possible -- without hidden token costs.

Import: Bring your existing AI knowledge

If you already use ChatGPT, Claude, Gemini, Copilot, or Perplexity: Memory can import your existing chat history. The system automatically extracts entities, learnings, and decisions from your conversations.

You don't start from zero -- you start with your accumulated knowledge.

Privacy and hosting

• SaaS version: Supabase Pro, EU Frankfurt (Germany), GDPR-compliant
• Self-hosted: Your own PostgreSQL database, data never leaves your infrastructure
• Encryption: AES-256-GCM for sensitive data
• Tenant isolation: Row Level Security at database level -- your data is physically separated
• Secret scanner: 27 patterns detect API keys, passwords, and DB URLs before they're stored

Tips for getting started

1. Start with the free version. 53 tools, knowledge graph included -- enough for most use cases.
2. Import your chat history. Especially if you've been using ChatGPT or Claude for months -- there's valuable knowledge in those conversations.
3. Use the knowledge graph for clients. Create an entity for each client -- with observations that accumulate over time.
4. Let Claude work proactively. The nex_proactive tool automatically shows you stale learnings, open decisions, and knowledge gaps.
5. Export regularly. Memory offers full export in Markdown, JSON, or text -- your data belongs to you.

Pricing

All tiers include all 53 tools and the knowledge graph.

At StudioMeyer, we use Memory ourselves -- daily, across over 680 sessions. The system isn't a concept -- it's a tool proven in daily practice. If you'd like to see how Memory can improve your AI workflow, try the free version or get in touch.

memory.studiomeyer.io