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mengram vs filesystem

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

mengram
by alibaizhanov
filesystem
by modelcontextprotocol
Stars★ 167★ 85,748
30d uses
Score4877
Official
Categories
AI / LLM ToolsDeveloper ToolsKnowledge Graph
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last committhis monththis month

mengram · Summary

Mengram is a human-like memory system for AI agents with semantic, episodic & procedural memory that learns from failures.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

mengram · Use cases

  • Enhancing AI agent memory with contextual recall across conversations
  • Automating workflow evolution based on past failures
  • Building personalized cognitive profiles for LLMs

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

mengram · Install

Install Mengram MCP server using npm or pip:

npm install mengram-ai
# or
pip install mengram-ai

Configure Claude Desktop by adding this to your config.json:

{
  "mcpServers": {
    "mengram": {
      "command": "mengram",
      "args": ["server", "--cloud"],
      "env": { "MENGRAM_API_KEY": "om-..." }
    }
  }
}

Get your free API key at https://mengram.io/#signup

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.