What is the key difference between Thronglets and Memfleet?

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

How do I install Thronglets or Memfleet 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 Thronglets and Memfleet free or paid?

Thronglets operates under a Free / Open Source model (No auth required). Memfleet operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Thronglets lists 0 tools with 0 views and 0 GitHub stars. Memfleet lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Thronglets and Memfleet 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 Thronglets or Memfleet 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 Thronglets and Memfleet free to use, or do they require API keys?

Thronglets is listed under a Free / Open Source model with No auth required . Memfleet 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 Thronglets and Memfleet at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both thronglets and memfleet 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, Thronglets has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Memfleet holds a Quality Score of 44 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Thronglets vs Memfleet

In-depth architectural comparison of the Thronglets and Memfleet 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

Thronglets

Knowledge & Memory · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Memfleet

Knowledge & Memory · Remote HTTP/SSE

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

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

Choose Memfleet 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 Memfleet Details

Feature & Specification Comparison

Specification	T Thronglets Knowledge & Memory	M Memfleet Knowledge & Memory
Summary	P2P shared memory substrate for AI agents — stigmergic knowledge network via libp2p	Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Thronglets Tools (0)

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

Memfleet 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).

Thronglets Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "thronglets": {
      "command": "npx",
      "args": [
        "-y",
        "thronglets"
      ]
    }
  }
}

Memfleet Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "memfleet": {
      "url": "https://memfleet.com"
    }
  }
}

Frequently Asked Questions

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

More alternatives to Thronglets More alternatives to Memfleet Knowledge & Memory category hub Canonical compare URL

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