YourMemory vs Shodh Memory

In-depth architectural comparison of the YourMemory 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 YourMemory 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: Ebbinghaus forgetting-curve memory decay and pruning, Hybrid retrieval combining BM25, vector embeddings, and entity graph, Consolidation of related facts into summaries to reduce bloat.

Explore YourMemory 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: API Key required (Free / Open Source).
• You have access to required keys: SHODH_API_KEY, SHODH_CONFIG_PATH, SHODH_DATA_DIR.
• Primary tools included: Zero LLM calls for storing or recalling memories, Hebbian learning with memory strengthening and decay, Local semantic search using MiniLM embeddings.

Feature & Specification Comparison

Specification	YourMemory sachitrafa Knowledge & Memory	Shodh Memory varun29ankuS Knowledge & Memory
Summary	Persistent memory for AI agents with Ebbinghaus forgetting-curve decay, hybrid BM25+vector retrieval, and entity graph for multi-hop reasoning. Memories auto-prune by importance and recall rate. Built-in browser dashboard, multi-agent support, and yourmemory ask for zero-API-call local queries. pip install yourmemory	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": {
    "sachitrafa-yourmemory": {
      "command": "uvx",
      "args": [
        "yourmemory"
      ]
    }
  }
}

{
  "mcpServers": {
    "varun29ankus-shodh-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@shodh/memory-mcp"
      ],
      "env": {
        "SHODH_API_KEY": "YOUR_SHODH_API_KEY_HERE",
        "SHODH_CONFIG_PATH": "YOUR_SHODH_CONFIG_PATH_HERE",
        "SHODH_DATA_DIR": "YOUR_SHODH_DATA_DIR_HERE"
      }
    }
  }
}

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