SMRITI Memory vs Vector Knowledge Graph MCP

In-depth architectural comparison of the SMRITI Memory and Vector Knowledge Graph MCP 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?

S

Choose SMRITI Memory 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 SMRITI Memory Details

Choose Vector Knowledge Graph MCP 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 Vector Knowledge Graph MCP Details

Feature & Specification Comparison

Specification	S SMRITI Memory Knowledge & Memory	Vector Knowledge Graph MCP Knowledge & Memory
Summary	Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.	AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node
Category & Scope	Knowledge & Memory	Knowledge & Memory

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": {
    "smriti-memory-2": {
      "command": "uvx",
      "args": [
        "smriti-memcore"
      ]
    }
  }
}

{
  "mcpServers": {
    "vector-knowledge-graph-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest"
      ]
    }
  }
}

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