What is the key difference between Memory OS AI and Sverklo?

Memory OS AI belongs to the Knowledge & Memory category with local stdio execution, while Sverklo belongs to the Knowledge & Memory category with local stdio execution.

How do I install Memory OS AI or Sverklo 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 Memory OS AI and Sverklo free or paid?

Memory OS AI operates under a Free / Open Source model (No auth required). Sverklo operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Memory OS AI lists 0 tools with 0 views and 3 GitHub stars. Sverklo lists 0 tools with 0 views and 79 GitHub stars.

Can I use both Memory OS AI and Sverklo 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

Memory OS AI vs Sverklo

In-depth architectural comparison of the Memory OS AI and Sverklo 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

Memory OS AI

Knowledge & Memory · Local stdio

Quality: 36/100 (Fair) | Auth: No auth required

Sverklo

Knowledge & Memory · Local stdio

Quality: 49/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Memory OS AI if you need specialized Knowledge & Memory tools running via a local process. Choose Sverklo 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 Memory OS AI 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 Memory OS AI Details

Choose Sverklo 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 Sverklo Details

Feature & Specification Comparison

Specification	M Memory OS AI Knowledge & Memory	S Sverklo Knowledge & Memory
Summary	Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking	Local-first MCP code intelligence: 37 tools — hybrid search, blast-radius, diff review, memory.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Memory OS AI Tools (0)

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

Sverklo 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).

Memory OS AI Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "memory-os-ai": {
      "command": "uvx",
      "args": [
        "memory-os-ai"
      ]
    }
  }
}

Sverklo Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

Memory OS AI is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Sverklo belongs to Knowledge & Memory using local stdio subprocess. Select Memory OS AI when you need capabilities focused on knowledge & memory and Sverklo when you require tools for knowledge & memory.

More alternatives to Memory OS AI More alternatives to Sverklo Knowledge & Memory category hub