What is the key difference between Agentage Memory and Gnosem?

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

How do I install Agentage Memory or Gnosem 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 Agentage Memory and Gnosem free or paid?

Agentage Memory operates under a Free / Open Source model (No auth required). Gnosem operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Agentage Memory lists 0 tools with 0 views and 0 GitHub stars. Gnosem lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Agentage Memory and Gnosem 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 Agentage Memory or Gnosem 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 Agentage Memory and Gnosem free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both agentage-memory and gnosem 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, Agentage Memory has a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Gnosem holds a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Agentage Memory vs Gnosem

In-depth architectural comparison of the Agentage Memory and Gnosem 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

Agentage Memory

Knowledge & Memory · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Gnosem

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Agentage Memory if you need specialized Knowledge & Memory tools running via a hosted cloud SSE transport. Choose Gnosem if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Agentage 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 Agentage Memory Details

Choose Gnosem 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 Gnosem Details

Feature & Specification Comparison

Specification	A Agentage Memory Knowledge & Memory	G Gnosem Knowledge & Memory
Summary	One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.	Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Agentage Memory Tools (0)

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

Gnosem 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).

Agentage Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "agentage-memory": {
      "url": "https://agentage.io"
    }
  }
}

Gnosem Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Agentage Memory More alternatives to Gnosem Knowledge & Memory category hub