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Semantic Memory

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Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding in

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Описание

Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding intelligence over time.

README

SEMANTIC MEMORY MCP Server for AI Agents

License: MIT Node.js Redis OpenAI

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

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

from github.com/Sceat/semantic-memory-mcp

Установить Semantic Memory в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install semantic-memory-mcp

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add semantic-memory-mcp -- npx -y semantic-memory-mcp

FAQ

Semantic Memory MCP бесплатный?

Да, Semantic Memory MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Semantic Memory?

Нет, Semantic Memory работает без API-ключей и переменных окружения.

Semantic Memory — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Semantic Memory в Claude Desktop, Claude Code или Cursor?

Открой Semantic Memory на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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