cuba-memorys vs filesystem

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

	cuba-memorys by LeandroPG19	filesystem by modelcontextprotocol
Stars	★ 22	★ 85,748
30d uses	—	—
Score	45	77
Official	—	✓
Categories	Knowledge GraphAI / LLM ToolsDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Rust	TypeScript
Last commit	this month	this month

cuba-memorys · Summary

A sophisticated MCP server providing AI agents with persistent memory using knowledge graphs, neuroscience-inspired algorithms, and anti-hallucination techniques.

filesystem · Summary

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

cuba-memorys · Use cases

Long-term memory for AI coding assistants that persists across sessions
Knowledge management systems with semantic relationships and contradiction detection
AI agents requiring context-aware memory and prospective triggers

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

cuba-memorys · Install

Recommended Installation (PyPI)

pip install cuba-memorys

Claude Desktop Configuration

Add to Claude Desktop config:

{
  "mcpServers": {
    "cuba-memorys": {
      "command": "cuba-memorys"
    }
  }
}

Auto-provisioned Setup

No configuration required - the server automatically provisions a PostgreSQL database via Docker on first run. Docker must be installed and running.

Custom PostgreSQL Setup

If you already have PostgreSQL with pgvector:

{
  "mcpServers": {
    "cuba-memorys": {
      "command": "cuba-memorys",
      "env": {
        "DATABASE_URL": "postgresql://user:pass@localhost:5432/brain"
      }
    }
  }
}

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.