Hmem — Humanlike Memory for AI Agents vs Pg Aiguide

In-depth architectural comparison of the Hmem — Humanlike Memory for AI Agents and Pg Aiguide 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 Hmem — Humanlike Memory for AI Agents when:

• You need dedicated capabilities in the Databases domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: read_memory, write_memory, append_memory.

Explore Hmem — Humanlike Memory for AI Agents Details

Choose Pg Aiguide when:

• You need dedicated capabilities in the Databases domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Pg Aiguide Details

Feature & Specification Comparison

Specification	Hmem — Humanlike Memory for AI Agents Databases	Pg Aiguide Databases
Summary	Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.	Comprehensive PostgreSQL documentation and best practices, including ecosystem tools
Category & Scope	Databases	Databases

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": {
    "hmem-humanlike-memory-for-ai-agents": {
      "command": "npx",
      "args": [
        "-y",
        "hmem"
      ]
    }
  }
}

{
  "mcpServers": {
    "pg-aiguide": {
      "url": "https://mcp.tigerdata.com/docs"
    }
  }
}

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