What is the key difference between Central Intelligence and Memora?

Central Intelligence 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 Central Intelligence 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 Central Intelligence and Memora free or paid?

Central Intelligence operates under a Freemium 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?

Central Intelligence lists 6 tools with 2 views and 3 GitHub stars. Memora lists 6 tools with 2 views and 724 GitHub stars.

Can I use both Central Intelligence 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

Central Intelligence vs Memora

In-depth architectural comparison of the Central Intelligence 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

Central Intelligence

Knowledge & Memory · Local stdio

Quality: 49/100 (Fair) | Auth: API Key required

Memora

Knowledge & Memory · Local stdio

Quality: 49/100 (Fair) | Auth: API Key required

Verdict Summary: Choose Central Intelligence 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 Central Intelligence when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: CI_API_KEY.
Primary tools included: Five MCP tools: remember, recall, context, forget, share, Semantic search via vector embeddings, Agent, user, and organization scoped memory.

Explore Central Intelligence 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: .

Feature & Specification Comparison

Specification	Central Intelligence AlekseiMarchenko Knowledge & Memory	Memora agentic-mcp-tools Knowledge & Memory
Summary	Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.	Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.
Category & Scope

Tools & Capabilities Breakdown

Central Intelligence Tools (6)

Five MCP tools: remember, recall, context, forget, share

Semantic search via vector embeddings

Agent, user, and organization scoped memory

Verbatim memory retrieval without rewriting

Cross-tool memory integration with AI coding platforms

Open-source with Apache 2.0 license

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).

Central Intelligence Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "alekseimarchenko-central-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "central-intelligence-local"
      ],
      "env": {
        "CI_API_KEY": "YOUR_CI_API_KEY_HERE"
      }
    }
  }
}

Memora Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "agentic-mcp-tools-memora": {
      "command": "npx",
      "args": [
        "-y",
        "agentic-mcp-tools-memora"
      ],
      "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

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

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