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rlm-claude vs filesystem

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

rlm-claude
by EncrEor
filesystem
by modelcontextprotocol
Stars★ 35★ 85,748
30d uses
Score4677
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit2 mo agothis month

rlm-claude · Summary

RLM is an MCP server providing persistent memory for Claude Code with auto-save, semantic search, and multi-project organization.

filesystem · Summary

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

rlm-claude · Use cases

  • Maintaining long-term project context across multiple Claude Code sessions
  • Preserving critical decisions and architectural choices throughout development
  • Searching through historical conversations using semantic and fuzzy matching

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

rlm-claude · Install

Installation

Via PyPI (recommended)

pip install mcp-rlm-server[all]

Via uv

uv tool install mcp-rlm-server[all] --python 3.12

Configure Claude Code

Add to your Claude Code configuration:

{
  "mcpServers": {
    "rlm": {
      "command": "python",
      "args": ["-m", "mcp_server.server"]
    }
  }
}

Then restart Claude Code and start using the 14 available RLM tools.

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.