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MahoRAGa

Persistent graph-powered memory for AI agents using Kuzu embedded database.

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About

Persistent graph-powered memory for AI agents using Kuzu embedded database.

Example tools

Illustrative tool names — the actual tool set is defined by the server at runtime.

query
Run a read-only SQL query
list_tables
List tables in the connected database
describe_table
Return column info for a table

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Frequently Asked Questions

Common questions about MahoRAGa.

What is MahoRAGa used for?
MahoRAGa provides persistent, graph-powered memory for AI agents. It leverages the Kuzu embedded database to store and manage agent memories, enabling rich, interconnected data representations for AI applications.
How can I integrate MahoRAGa with an MCP client like Claude Desktop?
MahoRAGa uses stdio for transport, meaning it communicates via standard input/output. You would typically configure your MCP client to launch the MahoRAGa executable and interact with its standard streams, but specific client integration steps depend on the client's MCP plugin system.
Does MahoRAGa require API keys or other credentials?
No, MahoRAGa uses 'none' for its authentication type. It does not require API keys, OAuth, or other external credentials for operation.
What database technology does MahoRAGa utilize?
MahoRAGa uses the Kuzu embedded database for its persistent storage. Kuzu is a high-performance graph database optimized for analytical workloads, providing the underlying structure for MahoRAGa's graph-powered memory.
Are there any specific prerequisites or limitations for using MahoRAGa?
MahoRAGa is designed for persistent memory with AI agents. A potential limitation is scalability for extremely large-scale, distributed AI systems; performance may depend on the Kuzu database's embedded environment and resource availability.
What is the licensing model for MahoRAGa?
MahoRAGa's licensing details are typically found within its repository or documentation. As an open-source project, it will likely adhere to a common open-source license, but you should consult the project's GitHub repository for definitive information.

Install MahoRAGa

Claude Desktop

Add this to claude_desktop_config.json.

{
  "mcpServers": {
    "mahoraga": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mahoraga"
      ]
    }
  }
}

Cursor

Add this to ~/.cursor/mcp.json.

{
  "mcpServers": {
    "mahoraga": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mahoraga"
      ]
    }
  }
}

VS Code

Add this to your workspace settings.json.

{
  "mcp.servers": {
    "mahoraga": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mahoraga"
      ]
    }
  }
}

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