MCP Catalogs
Home

mcp-openmemory vs ultimate_mcp_server

Side-by-side comparison to help you pick between these two MCP servers.

mcp-openmemory
by baryhuang
ultimate_mcp_server
by Dicklesworthstone
Stars★ 72★ 149
30d uses
Score4385
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
AI / LLM ToolsBrowser AutomationFile System
LanguageJavaScriptPython
Last commit12 mo ago2 mo ago

mcp-openmemory · Summary

MCP server enabling Claude to remember conversations and learn over time with SQLite storage.

ultimate_mcp_server · Summary

Comprehensive MCP server providing dozens of capabilities for AI agents including LLM delegation, browser automation, document processing, and cognitive memory systems.

mcp-openmemory · Use cases

  • Personalized AI assistants that remember user preferences and conversation history
  • Continuous learning applications that build context over multiple sessions
  • Project-specific memory management for different work contexts

ultimate_mcp_server · Use cases

  • Complex document processing and analysis with OCR and structured data extraction
  • Web automation and research across multiple sites with browser control
  • Cost-optimized AI workflows through intelligent task delegation between models

mcp-openmemory · Install

Installation

  1. Install Node.js if not already installed
  2. Add to Claude Desktop configuration:
{
  "mcpServers": {
    "mcp-openmemory": {
      "command": "npx",
      "args": [
        "@peakmojo/mcp-openmemory@latest"
      ],
      "env": {
        "MEMORY_DB_PATH": "/path/to/your/persistent/memory.sqlite"
      }
    }
  }
}
  1. Restart Claude Desktop

ultimate_mcp_server · Install

Installation

  1. Clone the repository:
git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server
  1. Install dependencies:
pip install -e .
  1. For Claude Desktop integration, add to your claude_desktop_config.json:
{
  "mcpServers": {
    "ultimate-mcp": {
      "command": "python",
      "args": ["-m", "ultimate_mcp_server"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}
  1. Run the server:
python -m ultimate_mcp_server
Comparison generated from public README + GitHub signals. Last updated automatically.