What is the key difference between Adrkit decision memory and Velocirag?

Adrkit decision memory belongs to the Knowledge & Memory category with local stdio execution, while Velocirag belongs to the Knowledge & Memory category with local stdio execution.

How do I install Adrkit decision memory or Velocirag 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 Adrkit decision memory and Velocirag free or paid?

Adrkit decision memory operates under a Free / Open Source model (No auth required). Velocirag operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Adrkit decision memory lists 0 tools with 0 views and 0 GitHub stars. Velocirag lists 0 tools with 0 views and 10 GitHub stars.

Can I use both Adrkit decision memory and Velocirag 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.

How do I install Adrkit decision memory or Velocirag in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Adrkit decision memory and Velocirag free to use, or do they require API keys?

Adrkit decision memory is listed under a Free / Open Source model with No auth required . Velocirag operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Adrkit decision memory and Velocirag at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both adrkit-decision-memory and velocirag as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Adrkit decision memory has a Quality Score of 28 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Velocirag holds a Quality Score of 39 /100 ( Fair ) with 0 views, 0 installs, and 10 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Adrkit decision memory vs Velocirag

In-depth architectural comparison of the Adrkit decision memory and Velocirag 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

Adrkit decision memory

Knowledge & Memory · Local stdio

Quality: 28/100 (Emerging) | Auth: No auth required

Velocirag

Knowledge & Memory · Local stdio

Quality: 39/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Adrkit decision memory if you need specialized Knowledge & Memory tools running via a local process. Choose Velocirag 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 Adrkit decision memory 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 Adrkit decision memory Details

Choose Velocirag 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 Velocirag Details

Feature & Specification Comparison

Specification	A Adrkit decision memory Knowledge & Memory	V Velocirag Knowledge & Memory
Summary	Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.	Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Adrkit decision memory Tools (0)

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

Velocirag 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).

Adrkit decision memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "adrkit-decision-memory": {
      "command": "npx",
      "args": [
        "-y",
        "adrkit-decision-memory"
      ]
    }
  }
}

Velocirag Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

Adrkit decision memory is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Velocirag belongs to Knowledge & Memory using local stdio subprocess. Select Adrkit decision memory when you need capabilities focused on knowledge & memory and Velocirag when you require tools for knowledge & memory.

More alternatives to Adrkit decision memory More alternatives to Velocirag Knowledge & Memory category hub