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Alaya Memory Engine MCP Server

@SecurityRonin

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

SecurityRonin

投稿者

Albert Hui

Alaya Memory Engine MCP Server について

A local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools.

#memory#knowledge-graph#mcp#mcp-server#ai#agent#sqlite#local

Alaya Memory Engine MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "alaya": {
      "command": "npx",
      "args": [
        "-y",
        "alaya-mcp"
      ]
    }
  }
}

Alaya Memory Engine MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Alaya Memory Engine?

Alaya Memory Engine is a local memory server for AI agents. It stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle (strengthening, transformation, forgetting), and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. It is designed for developers who want their AI agents to have persistent, evolving memory.

How to use Alaya Memory Engine?

Install the server via npx alaya-memory-engine (zero configuration required) and configure your MCP client to connect to it. The server exposes 10 MCP tools: remember, recall, learn, status, knowledge, preferences, categories, neighbors, maintain, and purge.

Key features of Alaya Memory Engine

  • Stores conversation episodes for long-term memory
  • Consolidates knowledge via strengthening, transformation, and forgetting
  • Builds a personal knowledge graph from interactions
  • Discovers emergent categories, preferences, and semantic recall
  • Runs fully local with SQLite and no external configuration
  • Provides 10 dedicated MCP tools for memory management

Use cases of Alaya Memory Engine

  • Giving conversational AI agents persistent, personalized memory
  • Building a self‑updating knowledge base from user interactions
  • Learning and adapting to user preferences over time
  • Enabling semantic recall of past episodes and relationships

よくある質問

1

What tools does Alaya Memory Engine provide?

It provides 10 MCP tools: `remember`, `recall`, `learn`, `status`, `knowledge`, `preferences`, `categories`, `neighbors`, `maintain`, and `purge`.

2

Does Alaya Memory Engine require a cloud service or external API?

No. It runs entirely locally using SQLite with zero configuration. No external services or API keys are needed.

3

How is knowledge organized and retrieved?

Knowledge is stored as a personal knowledge graph with emergent categories, preferences, and semantic recall. The `recall` tool retrieves relevant memories based on the learned graph structure.

4

What makes Alaya Memory Engine different from a simple database or file storage?

It uses a neuroscience‑inspired lifecycle that strengthens important memories, transforms related knowledge, and forgets irrelevant information over time, mimicking human memory processes rather than simple storage.

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