How do I use Semantic Memory MCP?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Semantic Memory MCP Store that I prefer concise code reviews." That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Semantic Memory MCP

by Sceat

Overview Schema Source Related Servers Discussions Admin

JavaScript

Remote

Semantic memory for AI agents. Store patterns, search by meaning, remember forever.

📖 For LLMs: See ARCHITECTURE.md for detailed implementation & TESTING.md for tool reference

What This Does

Give your AI agents a brain that learns and remembers:

🧠 Semantic Search: Find patterns by meaning, not keywords
💾 Three Memory Types: Semantic (forever), Episodic (90 days), Procedural (forever)
📈 Intelligence Compounds: Learn from every task, recall before you act
🔄 Auto-Consolidation: Promotes validated patterns automatically

Related MCP server: BuildAutomata Memory MCP Server

Quick Start

Install

claude mcp add memory -- npx -y github:Sceat/semantic-memory-mcp

Then configure environment variables in ~/.claude.json:

{
  "mcpServers": {
    "memory": {
      "env": {
        "REDIS_URL": "redis://localhost:6379/0",
        "OPENAI_API_KEY": "your-openai-key-here"
      }
    }
  }
}

Use

Six tools available immediately:

store_pattern - Save what you learned
search_patterns - Find similar patterns
set_reminder - Never forget important details
check_reminders - Get context before tasks
consolidate_memories - Promote validated patterns
health_check - Verify system status

How It Works

┌─────────────────────────────────────────────────────┐
│                                                     │
│   Before Task: Query memory for similar patterns   │
│                Check reminders for this task type   │
│                                                     │
│   During Task: Execute with learned context        │
│                                                     │
│   After Task:  Store what you learned              │
│                Set reminders for next time          │
│                                                     │
│   Result: Intelligence compounds over time          │
│                                                     │
└─────────────────────────────────────────────────────┘

Local Development

If you want to develop or modify the server:

git clone https://github.com/Sceat/semantic-memory-mcp.git
cd semantic-memory-mcp
npm install

Then add to your Claude Code config:

{
  "mcpServers": {
    "memory": {
      "command": "node",
      "args": ["/path/to/semantic-memory-mcp/src/index.js"],
      "env": {
        "REDIS_URL": "redis://localhost:6379/0",
        "OPENAI_API_KEY": "your-openai-key-here"
      }
    }
  }
}

Requirements

Node.js ≥ 18
Redis 7.2+ with RediSearch module
OpenAI API key
Claude Code

License

MIT

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Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

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