mem0-mcp-selfhosted vs filesystem

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

	mem0-mcp-selfhosted by elvismdev	filesystem by modelcontextprotocol
Stars	★ 84	★ 85,748
30d uses	—	—
Score	48	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsKnowledge Graph	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	2 mo ago	this month

mem0-mcp-selfhosted · Summary

A self-hosted mem0 MCP server that integrates with Qdrant, Neo4j, and Ollama for persistent memory management with Claude Code.

filesystem · Summary

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

mem0-mcp-selfhosted · Use cases

Persistent memory management for long-running coding sessions across project contexts
Knowledge graph-based entity relationship tracking for complex systems
Local-first AI applications with no cloud dependencies using Ollama as the LLM backend

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

mem0-mcp-selfhosted · Install

# Add globally with default Anthropic provider
claude mcp add --scope user --transport stdio mem0 \
  --env MEM0_USER_ID=your-user-id \
  -- uvx --from git+https://github.com/elvismdev/mem0-mcp-selfhosted.git mem0-mcp-selfhosted

# Add with fully local Ollama configuration
claude mcp add --scope user --transport stdio mem0 \
  --env MEM0_PROVIDER=ollama \
  --env MEM0_LLM_MODEL=qwen3:14b \
  --env MEM0_USER_ID=your-user-id \
  -- uvx --from git+https://github.com/elvismdev/mem0-mcp-selfhosted.git mem0-mcp-selfhosted

# For project-specific setup, create .mcp.json
{
  "mcpServers": {
    "mem0": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/elvismdev/mem0-mcp-selfhosted.git", "mem0-mcp-selfhosted"],
      "env": {
        "MEM0_PROVIDER": "ollama",
        "MEM0_LLM_MODEL": "qwen3:14b",
        "MEM0_USER_ID": "your-user-id"
      }
    }
  }
}

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.