What is the key difference between Adaptive Recall and Memora?

Adaptive Recall 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 Adaptive Recall 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 Adaptive Recall and Memora free or paid?

Adaptive Recall 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?

Adaptive Recall 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 Adaptive Recall 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 Adaptive Recall 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 Adaptive Recall and Memora free to use, or do they require API keys?

Adaptive Recall 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 Adaptive Recall and Memora at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both adaptive-recall 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, Adaptive Recall has a Quality Score of 29 /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

Adaptive Recall vs Memora

In-depth architectural comparison of the Adaptive Recall 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

Adaptive Recall

Knowledge & Memory · Local stdio

Quality: 29/100 (Emerging) | Auth: No auth required

Memora

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Adaptive Recall 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 Adaptive Recall 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 Adaptive Recall 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	A Adaptive Recall Knowledge & Memory	Memora agentic-mcp-tools Knowledge & Memory
Summary	Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.	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

Adaptive Recall 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).

Adaptive Recall Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "adaptive-recall": {
      "command": "npx",
      "args": [
        "-y",
        "adaptive-recall"
      ]
    }
  }
}

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

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

More alternatives to Adaptive Recall More alternatives to Memora Knowledge & Memory category hub