Alaya Memory Engine

Name: Alaya Memory Engine
Author: SecurityRonin

@SecurityRonin

About Alaya Memory Engine

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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from Alaya Memory Engine

What tools does Alaya Memory Engine provide?

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

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.

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.

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.

What transport or authentication does the server use?

—

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