What is the key difference between Adaptive Recall and Perenna?

Adaptive Recall belongs to the Knowledge & Memory category with cloud HTTP/SSE execution, while Perenna belongs to the Knowledge & Memory category with local stdio execution.

How do I install Adaptive Recall or Perenna in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Adaptive Recall and Perenna free or paid?

Adaptive Recall operates under a Free / Open Source model (No auth required). Perenna operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Adaptive Recall lists 0 tools with 0 views and 4 GitHub stars. Perenna lists 0 tools with 1 views and 40 GitHub stars.

Can I use both Adaptive Recall and Perenna together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Adaptive Recall vs Perenna

In-depth architectural comparison of the Adaptive Recall and Perenna 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.

At a Glance & Executive Verdict

Adaptive Recall

Knowledge & Memory · Remote HTTP/SSE

Quality: 37/100 (Fair) | Auth: No auth required

Perenna

Knowledge & Memory · Local stdio

Quality: 45/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Adaptive Recall if you need specialized Knowledge & Memory tools running via a hosted cloud SSE transport. Choose Perenna if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

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 Perenna 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 Perenna Details

Feature & Specification Comparison

Specification	Adaptive Recall Knowledge & Memory	P Perenna Knowledge & Memory
Summary	Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.	A lightweight, Git-backed permanent memory for AI agents.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Adaptive Recall Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Perenna Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

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).

Adaptive Recall Configuration

mcpServers (Claude Desktop / Cursor)

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

Perenna Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "perenna": {
      "command": "uvx",
      "args": [
        "vexor"
      ]
    }
  }
}

Frequently Asked Questions

Adaptive Recall is categorized under Knowledge & Memory and uses a remote streaming HTTP/SSE transport. In contrast, Perenna belongs to Knowledge & Memory using local stdio subprocess. Select Adaptive Recall when you need capabilities focused on knowledge & memory and Perenna when you require tools for knowledge & memory.

More alternatives to Adaptive Recall More alternatives to Perenna Knowledge & Memory category hub