What is the key difference between Kawa Code and Memory?

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

How do I install Kawa Code or Memory 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 Kawa Code and Memory free or paid?

Kawa Code operates under a Free / Open Source model (No auth required). Memory operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Kawa Code lists 0 tools with 0 views and 0 GitHub stars. Memory lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Kawa Code and Memory 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.

How do I install Kawa Code or Memory in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Kawa Code and Memory free to use, or do they require API keys?

Kawa Code is listed under a Free / Open Source model with No auth required . Memory operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Kawa Code and Memory at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both kawa-code and memory-4 as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Kawa Code has a Quality Score of 40 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Memory holds a Quality Score of 44 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Kawa Code vs Memory

In-depth architectural comparison of the Kawa Code and Memory 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

Kawa Code

Knowledge & Memory · Local stdio

Quality: 40/100 (Fair) | Auth: No auth required

Memory

Knowledge & Memory · Remote HTTP/SSE

Quality: 44/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Kawa Code if you need specialized Knowledge & Memory tools running via a local process. Choose Memory 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 Kawa Code 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 Kawa Code Details

Choose Memory 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 Memory Details

Feature & Specification Comparison

Specification	K Kawa Code Knowledge & Memory	M Memory Knowledge & Memory
Summary	Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.	Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Kawa Code Tools (0)

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

Memory 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).

Kawa Code Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "kawa-code": {
      "command": "npx",
      "args": [
        "-y",
        "@kawacode/mcp"
      ]
    }
  }
}

Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "memory-4": {
      "url": "https://leapmemory.com"
    }
  }
}

Frequently Asked Questions

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

More alternatives to Kawa Code More alternatives to Memory Knowledge & Memory category hub