What is the key difference between Remembra and Memora?

Remembra 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 Remembra 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 Remembra and Memora free or paid?

Remembra operates under a Free / Open Source 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?

Remembra lists 6 tools with 2 views and 15 GitHub stars. Memora lists 6 tools with 2 views and 719 GitHub stars.

Can I use both Remembra 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

Remembra vs Memora

In-depth architectural comparison of the Remembra 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

Remembra

Knowledge & Memory · Local stdio

Quality: 52/100 (Good) | Auth: API Key required

Memora

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Remembra 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 Remembra when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: REMEMBRA_URL, REMEMBRA_USER_ID, REMEMBRA_ASYNC_ENRICHMENT.
Primary tools included: Entity resolution and graph-aware memory recall, PII detection and AES-256-GCM encryption at rest, Verbatim source record preservation with metadata linking.

Explore Remembra 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	Remembra remembra-ai Knowledge & Memory	Memora agentic-mcp-tools Knowledge & Memory
Summary	Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted.	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

Remembra Tools (6)

Entity resolution and graph-aware memory recall

PII detection and AES-256-GCM encryption at rest

Verbatim source record preservation with metadata linking

Hallucination flagging for unverifiable facts

Hybrid semantic search with fast embedding caching

Multi-tenant remote MCP server with API key authentication

Memora Tools (6)

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).

Remembra Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "remembra-ai-remembra": {
      "command": "uvx",
      "args": [
        "remembra"
      ],
      "env": {
        "REMEMBRA_URL": "YOUR_REMEMBRA_URL_HERE",
        "REMEMBRA_USER_ID": "YOUR_REMEMBRA_USER_ID_HERE",
        "REMEMBRA_ASYNC_ENRICHMENT": "YOUR_REMEMBRA_ASYNC_ENRICHMENT_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

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

More alternatives to Remembra More alternatives to Memora Knowledge & Memory category hub Canonical compare URL