BanditDB vs Cathedral — Persistent Memory for AI Agents

In-depth architectural comparison of the BanditDB and Cathedral — Persistent Memory for AI Agents 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?

B

Choose BanditDB 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 BanditDB Details

Choose Cathedral — Persistent Memory for AI Agents 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 Cathedral — Persistent Memory for AI Agents Details

Feature & Specification Comparison

Specification	B BanditDB Knowledge & Memory	Cathedral — Persistent Memory for AI Agents Knowledge & Memory
Summary	Persistent decision memory for agents — learns which action works in which context	Persistent memory and drift detection for AI agents across session restarts.
Category & Scope	Knowledge & Memory	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": {
    "banditdb": {
      "command": "uvx",
      "args": [
        "banditdb-python"
      ]
    }
  }
}

{
  "mcpServers": {
    "cathedral-persistent-memory-for-ai-agents": {
      "command": "uvx",
      "args": [
        "cathedral-mcp"
      ]
    }
  }
}

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