Adaptive Recall vs Kairn

In-depth architectural comparison of the Adaptive Recall and Kairn 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 Adaptive Recall when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Adaptive Recall Details

Choose Kairn 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 Kairn Details

Feature & Specification Comparison

Specification	Adaptive Recall Knowledge & Memory	Kairn Knowledge & Memory
Summary	Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.	Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

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": {
    "adaptive-recall": {
      "url": "https://YOUR_SERVER_URL/mcp"
    }
  }
}

{
  "mcpServers": {
    "kairn": {
      "command": "uvx",
      "args": [
        "kairn-ai"
      ]
    }
  }
}

Related MCP Server Comparisons