Waggle MCP vs Shodh Memory

In-depth architectural comparison of the Waggle MCP and Shodh 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 Waggle 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).
• You have access to required keys: WAGGLE_MODEL, PYTHONUTF8.
• Primary tools included: observe_conversation, query_graph, prime_context.

Explore Waggle MCP Details

Choose Shodh 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).
• Primary tools included: remember, recall, recall_by_tags.

Feature & Specification Comparison

Specification	Waggle MCP Abhigyan-Shekhar Knowledge & Memory	Shodh Memory varun29ankuS Knowledge & Memory
Summary	Persistent graph memory for AI agents. Drop a conversation turn in via observeconversation() and facts are auto-extracted, stored as typed graph nodes with local semantic embeddings (no API key). Supports temporal queries ("what did we decide last week?"), conflict detection, and context priming. One-command setup with waggle-mcp init. SQLite locally, Neo4j in production.	Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single 15MB binary, runs offline on edge devices.
Category & Scope

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": {
    "abhigyan-shekhar-waggle-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "abhigyan-shekhar-waggle-mcp"
      ],
      "env": {
        "WAGGLE_MODEL": "YOUR_WAGGLE_MODEL_HERE",
        "PYTHONUTF8": "YOUR_PYTHONUTF8_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "varun29ankus-shodh-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@shodh/memory-mcp"
      ]
    }
  }
}

Related MCP Server Comparisons