Smara vs Cogmemai MCP

In-depth architectural comparison of the Smara and Cogmemai 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 Smara 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).
• Primary tools included: store_memory, search_memories, get_user_context.

Explore Smara Details

Choose Cogmemai MCP when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Freemium).
• You have access to required keys: COGMEMAI_API_KEY.
• Primary tools included: preflight, save_memory, recall_memories.

Explore Cogmemai MCP Details

Feature & Specification Comparison

Specification	S Smara Knowledge & Memory	Cogmemai MCP hifriendbot Knowledge & Memory
Summary	Persistent cross-platform memory for AI agents with Ebbinghaus decay scoring.	Persistent cognitive memory for Claude Code. Cloud-first with semantic search, AI-powered extraction, and project scoping. Zero local databases.
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": {
    "smara": {
      "command": "npx",
      "args": [
        "-y",
        "@smara/mcp-server"
      ]
    }
  }
}

{
  "mcpServers": {
    "hifriendbot-cogmemai-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "cogmemai-mcp"
      ],
      "env": {
        "COGMEMAI_API_KEY": "YOUR_COGMEMAI_API_KEY_HERE"
      }
    }
  }
}

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