What is the key difference between AiAkiv Memory and Arc?

AiAkiv Memory belongs to the Knowledge & Memory category with cloud HTTP/SSE execution, while Arc belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install AiAkiv Memory or Arc 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 AiAkiv Memory and Arc free or paid?

AiAkiv Memory operates under a Free / Open Source model (No auth required). Arc operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

AiAkiv Memory lists 0 tools with 0 views and 0 GitHub stars. Arc lists 0 tools with 0 views and 0 GitHub stars.

Can I use both AiAkiv Memory and Arc 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 AiAkiv Memory or Arc 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 AiAkiv Memory and Arc free to use, or do they require API keys?

AiAkiv Memory is listed under a Free / Open Source model with No auth required . Arc operates under a Free / Open Source model with No auth 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 AiAkiv Memory and Arc at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both aiakiv-memory and arc 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, AiAkiv Memory has a Quality Score of 40 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Arc holds a Quality Score of 30 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

AiAkiv Memory vs Arc

In-depth architectural comparison of the AiAkiv Memory and Arc 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

AiAkiv Memory

Knowledge & Memory · Remote HTTP/SSE

Quality: 40/100 (Fair) | Auth: No auth required

Arc

Knowledge & Memory · Remote HTTP/SSE

Quality: 30/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose AiAkiv Memory if you need specialized Knowledge & Memory tools running via a hosted cloud SSE transport. Choose Arc if your workspace requires Knowledge & Memory integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose AiAkiv Memory when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore AiAkiv Memory Details

Choose Arc when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Arc Details

Feature & Specification Comparison

Specification	AiAkiv Memory Knowledge & Memory	A Arc Knowledge & Memory
Summary	Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.	Local coordination hub for coding agents: durable shared memory, tasks, and handoffs. Desktop app.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

AiAkiv Memory Tools (0)

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

Arc Tools (0)

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

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).

AiAkiv Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "aiakiv-memory": {
      "url": "https://aiakiv.com"
    }
  }
}

Arc Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "arc": {
      "url": "https://megastructure.ai/arc"
    }
  }
}

Frequently Asked Questions

AiAkiv Memory is categorized under Knowledge & Memory and uses a remote streaming HTTP/SSE transport. In contrast, Arc belongs to Knowledge & Memory using remote streaming HTTP/SSE transport. Select AiAkiv Memory when you need capabilities focused on knowledge & memory and Arc when you require tools for knowledge & memory.

More alternatives to AiAkiv Memory More alternatives to Arc Knowledge & Memory category hub

Related MCP Server Comparisons

Popular comparisons with AiAkiv Memory

Popular comparisons with Arc

Arc vs Moxie Docs MCP