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Alaya Memory Engine MCP Server

@SecurityRonin

基本信息

分类

记忆与知识

传输方式

stdio

作者

SecurityRonin

提交者

Albert Hui

关于 Alaya Memory Engine MCP Server

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.

Alaya Memory Engine MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Alaya Memory Engine MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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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