What is the key difference between NVIDIA NemoClaw CKG and Memora?

NVIDIA NemoClaw CKG belongs to the Knowledge & Memory category with local stdio execution, while Memora belongs to the Knowledge & Memory category with local stdio execution.

How do I install NVIDIA NemoClaw CKG or Memora 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 NVIDIA NemoClaw CKG and Memora free or paid?

NVIDIA NemoClaw CKG operates under a Free / Open Source model (No auth required). Memora operates under a BYOK (Pay Provider Direct) model (API Key required).

Which MCP server has more tools and community activity?

NVIDIA NemoClaw CKG lists 0 tools with 0 views and 0 GitHub stars. Memora lists 6 tools with 2 views and 633 GitHub stars.

Can I use both NVIDIA NemoClaw CKG and Memora 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 NVIDIA NemoClaw CKG or Memora 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 NVIDIA NemoClaw CKG and Memora free to use, or do they require API keys?

NVIDIA NemoClaw CKG is listed under a Free / Open Source model with No auth required . Memora operates under a BYOK (Pay Provider Direct) model with API Key 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 NVIDIA NemoClaw CKG and Memora at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both nvidia-nemoclaw-ckg and agentic-mcp-tools-memora 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, NVIDIA NemoClaw CKG has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Memora holds a Quality Score of 63 /100 ( Good ) with 2 views, 0 installs, and 633 GitHub stars.

Side-by-Side Model Context Protocol Comparison

NVIDIA NemoClaw CKG vs Memora

In-depth architectural comparison of the NVIDIA NemoClaw CKG and Memora 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

NVIDIA NemoClaw CKG

Knowledge & Memory · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Memora

Knowledge & Memory · Local stdio

Quality: 63/100 (Good) | Auth: API Key required

Verdict Summary: Choose NVIDIA NemoClaw CKG if you need specialized Knowledge & Memory tools running via a local process. Choose Memora 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 NVIDIA NemoClaw CKG 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 NVIDIA NemoClaw CKG Details

Choose Memora when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: MEMORA_DB_PATH, MEMORA_STORAGE_URI, CLOUDFLARE_API_TOKEN, AWS_PROFILE, AWS_ENDPOINT_URL, MEMORA_CLOUD_ENCRYPT, MEMORA_ALLOW_ANY_TAG, MEMORA_GRAPH_PORT.
Primary tools included: Persistent storage with SQLite or cloud sync (S3, R2, D1), Hierarchical memory organization with sections and subsections, Semantic search using TF-IDF, sentence-transformers, and OpenAI embeddings.

Feature & Specification Comparison

Specification	N NVIDIA NemoClaw CKG Knowledge & Memory	Memora agentic-mcp-tools Knowledge & Memory
Summary	NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.	Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.
Category & Scope	Knowledge & Memory	Knowledge & Memory

Tools & Capabilities Breakdown

NVIDIA NemoClaw CKG Tools (0)

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

Memora Tools (6)

Persistent storage with SQLite or cloud sync (S3, R2, D1)

Hierarchical memory organization with sections and subsections

Semantic search using TF-IDF, sentence-transformers, and OpenAI embeddings

Knowledge graph visualization with Mermaid and live graph server

Memory linking with typed edges and AI-powered deduplication

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).

NVIDIA NemoClaw CKG Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "nvidia-nemoclaw-ckg": {
      "command": "npx",
      "args": [
        "-y",
        "nvidia-nemoclaw-ckg"
      ]
    }
  }
}

Memora Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "agentic-mcp-tools-memora": {
      "command": "npx",
      "args": [
        "-y",
        "wrangler"
      ],
      "env": {
        "MEMORA_DB_PATH": "YOUR_MEMORA_DB_PATH_HERE",
        "MEMORA_STORAGE_URI": "YOUR_MEMORA_STORAGE_URI_HERE",
        "CLOUDFLARE_API_TOKEN": "YOUR_CLOUDFLARE_API_TOKEN_HERE",
        "AWS_PROFILE": "YOUR_AWS_PROFILE_HERE",
        "AWS_ENDPOINT_URL": "YOUR_AWS_ENDPOINT_URL_HERE",
        "MEMORA_CLOUD_ENCRYPT": "YOUR_MEMORA_CLOUD_ENCRYPT_HERE",
        "MEMORA_ALLOW_ANY_TAG": "YOUR_MEMORA_ALLOW_ANY_TAG_HERE",
        "MEMORA_GRAPH_PORT": "YOUR_MEMORA_GRAPH_PORT_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

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