Memex vs Engram Mcp

In-depth architectural comparison of the Memex and Engram 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?

Choose Memex 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: DB_MAX_POOL_SIZE.
• Primary tools included: Semantic vector search with recency decay re-ranking, Local ONNX embedding model (BAAI/bge-small-en-v1.5) for zero API cost, PostgreSQL 16 with pgvector and ivfflat index for efficient vector queries.

Explore Memex Details

Choose Engram 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: ENGRAM_DB, ENGRAM_EMBEDDING_URL.

Feature & Specification Comparison

Specification	Memex ayushagrawal288 Knowledge & Memory	Engram Mcp Cartisien Knowledge & Memory
Summary	Production-grade persistent memory service for AI agents. Semantic search with recency decay (configurable α blend), local ONNX embeddings (zero API cost), background memory summarisation, and Prometheus/Grafana observability. docker compose up — no cloud dependencies.	Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, and stats tools. Works with Claude Desktop, Cursor, and any MCP client.
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": {
    "ayushagrawal288-memex": {
      "command": "npx",
      "args": [
        "-y",
        "ayushagrawal288-memex"
      ],
      "env": {
        "DB_MAX_POOL_SIZE": "YOUR_DB_MAX_POOL_SIZE_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "cartisien-engram-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "cartisien-engram-mcp"
      ],
      "env": {
        "ENGRAM_DB": "YOUR_ENGRAM_DB_HERE",
        "ENGRAM_EMBEDDING_URL": "YOUR_ENGRAM_EMBEDDING_URL_HERE"
      }
    }
  }
}

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