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turbovault vs memory

Side-by-side comparison to help you pick between these two MCP servers.

turbovault
by Epistates
memory
by modelcontextprotocol
Stars★ 126★ 85,748
30d uses
Score5077
Official
Categories
Knowledge GraphProductivityDeveloper Tools
Knowledge GraphAI / LLM ToolsProductivity
LanguageRustTypeScript
Last commit1 mo agothis month

turbovault · Summary

Rust SDK and MCP server that transforms Obsidian vaults into intelligent knowledge systems with 47 specialized tools.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

turbovault · Use cases

  • Transform an Obsidian vault into an AI-powered knowledge system with search, link analysis, and relationship discovery
  • Build custom applications that consume and analyze markdown directories with high-performance Rust SDK
  • Manage multiple vaults dynamically with instant context switching and atomic batch operations

memory · Use cases

  • Personalizing AI assistant interactions by remembering user preferences, history, and relationships
  • Building context-aware chat applications that maintain conversation history
  • Creating knowledge bases that persist across AI model sessions

turbovault · Install

Install TurboVault using Cargo:

# Minimal install (7.0 MB, STDIO only)
cargo install turbovault

# With HTTP server (~8.2 MB)
cargo install turbovault --features http

# With all cross-platform transports (~8.8 MB)
cargo install turbovault --features full

For Claude Desktop, add to ~/.config/claude/claude_desktop_config.json:

{
  "mcpServers": {
    "turbovault": {
      "command": "/path/to/turbovault",
      "args": ["--vault", "/path/to/your/vault", "--profile", "production"]
    }
  }
}

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.