What is the key difference between DeepMem and Memorix?

DeepMem belongs to the Knowledge & Memory category with local stdio execution, while Memorix belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install DeepMem or Memorix in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are DeepMem and Memorix free or paid?

DeepMem operates under a Free / Open Source model (No auth required). Memorix operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

DeepMem lists 0 tools with 0 views and 113 GitHub stars. Memorix lists 0 tools with 1 views and 728 GitHub stars.

Can I use both DeepMem and Memorix together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

DeepMem vs Memorix

In-depth architectural comparison of the DeepMem and Memorix MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

DeepMem

Knowledge & Memory · Local stdio

Quality: 41/100 (Fair) | Auth: No auth required

Memorix

Knowledge & Memory · Remote HTTP/SSE

Quality: 47/100 (Fair) | Auth: No auth required

Verdict Summary: Choose DeepMem if you need specialized Knowledge & Memory tools running via a local process. Choose Memorix if your workspace requires Knowledge & Memory integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose DeepMem when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore DeepMem Details

Choose Memorix when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Memorix Details

Feature & Specification Comparison

Specification	DeepMem Knowledge & Memory	Memorix Knowledge & Memory
Summary	Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.	Local-first persistent project memory for AI coding agents across MCP clients and sessions.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

DeepMem Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Memorix Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

DeepMem Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "deepmem": {
      "command": "uvx",
      "args": [
        "deepmem-client"
      ]
    }
  }
}

Memorix Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "memorix": {
      "url": "https://raw.githubusercontent.com/AVIDS2/memorix/main/assets/readme-hero.svg"
    }
  }
}

Frequently Asked Questions

DeepMem is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Memorix belongs to Knowledge & Memory using remote streaming HTTP/SSE transport. Select DeepMem when you need capabilities focused on knowledge & memory and Memorix when you require tools for knowledge & memory.

More alternatives to DeepMem More alternatives to Memorix Knowledge & Memory category hub