Shadowgraph vs Superlocalmemory

In-depth architectural comparison of the Shadowgraph and Superlocalmemory 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 Shadowgraph 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).

Explore Shadowgraph Details

S

Choose Superlocalmemory 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).

Explore Superlocalmemory Details

Feature & Specification Comparison

Specification	Shadowgraph LiLara-AI Knowledge & Memory	S Superlocalmemory Knowledge & Memory
Summary	Technical Preview / Early Access. Local-first decision memory for AI agents that stores choices, rejected alternatives and their reasons, failed attempts, outcomes, provenance, and caller-invoked review conditions in a local file. Stdio MCP server; install from GitHub with Node.js 20+.	Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.
Category & Scope	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": {
    "lilara-ai-shadowgraph": {
      "command": "npx",
      "args": [
        "-y",
        "lilara-ai-shadowgraph"
      ]
    }
  }
}

{
  "mcpServers": {
    "superlocalmemory": {
      "command": "uvx",
      "args": [
        "superlocalmemory"
      ]
    }
  }
}

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