Alaya Memory Engine

by SecurityRonin

275 downloads

Not rated

GitHub

About

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.

Details

Author: SecurityRonin
Downloads: 275
Categories: Knowledge Base, AI

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Alaya Memory Engine

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

A local memory engine for AI agents. 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.

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

Local SQLite, zero config. Install: npx alaya-mcp

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Install

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