Atlaso Labs MCP vs Savantis Memory

In-depth architectural comparison of the Atlaso Labs MCP and Savantis 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.

Which MCP Server Should You Choose?

Choose Atlaso Labs MCP 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 Atlaso Labs MCP Details

S

Choose Savantis 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 Savantis Memory Details

Feature & Specification Comparison

Specification	Atlaso Labs MCP Knowledge & Memory	S Savantis Memory Knowledge & Memory
Summary	AI memory layer — one shared, persistent memory across every AI tool you connect.	One user-owned memory shared across AI assistants: recall, spaces, and confirmed references.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

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).

{
  "mcpServers": {
    "mcp-3": {
      "url": "https://mcp.atlaso.ai/mcp"
    }
  }
}

{
  "mcpServers": {
    "savantis-memory": {
      "url": "https://www.savantisai.com/connectors"
    }
  }
}

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