What is the key difference between Cognee and Memora?

Cognee 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 Cognee 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 Cognee and Memora free or paid?

Cognee operates under a BYOK (Pay Provider Direct) model (API Key required). Memora operates under a BYOK (Pay Provider Direct) model (API Key required).

Which MCP server has more tools and community activity?

Cognee lists 6 tools with 3 views and 30,641 GitHub stars. Memora lists 6 tools with 2 views and 719 GitHub stars.

Can I use both Cognee 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.

Side-by-Side Model Context Protocol Comparison

Cognee vs Memora

In-depth architectural comparison of the Cognee 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

Cognee

Knowledge & Memory · Local stdio

Quality: 57/100 (Good) | Auth: API Key required

Memora

Knowledge & Memory · Local stdio

Quality: 56/100 (Good) | Auth: API Key required

Verdict Summary: Choose Cognee 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 Cognee 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: LLM_API_KEY.
Primary tools included: Persistent and session-scoped memory, Graph, vector, and code-aware retrieval, Text and code ingestion.

Explore Cognee 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.

Feature & Specification Comparison

Specification	Cognee topoteretes Knowledge & Memory	Memora agentic-mcp-tools Knowledge & Memory
Summary	Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources	Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.
Category & Scope	Knowledge & Memory

Tools & Capabilities Breakdown

Cognee Tools (6)

Persistent and session-scoped memory

Graph, vector, and code-aware retrieval

Text and code ingestion

Automatic search-strategy routing

Custom data models and ontologies

Memory improvement and deletion operations

Memora Tools (6)

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

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).

Cognee Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "topoteretes-cognee": {
      "command": "uvx",
      "args": [
        "cognee"
      ],
      "env": {
        "LLM_API_KEY": "YOUR_LLM_API_KEY_HERE"
      }
    }
  }
}

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

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

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