Agent Fleet O vs Memory

In-depth architectural comparison of the Agent Fleet O and Memory 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.

Which MCP Server Should You Choose?

Choose Agent Fleet O when:

• You need dedicated capabilities in the Other Tools and Integrations domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: API Key required (Free / Open Source).
• Primary tools included: MCP access over stdio and HTTP/SSE, Visual DAG workflow builder, Multi-agent crews and experiment lifecycles.

Explore Agent Fleet O Details

Choose Memory when:

• You need dedicated capabilities in the Other Tools and Integrations domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: Knowledge graph-based data storage, Persistent memory for LLMs, Reference implementation for MCP SDK usage.

Explore Memory Details

Feature & Specification Comparison

Specification	Agent Fleet O escapeboy Other Tools and Integrations	Memory VerifiedOther Tools and Integrations
Summary	AI Agent Mission Control with 200+ MCP tools. Manage agents, experiments, workflows, crews, skills, and more via stdio + HTTP/SSE. Self-hosted, open-source (AGPL-3.0). Remote server: https://fleetq.net/mcp	Knowledge graph-based persistent memory system.
Category & Scope

Tools & Capabilities Breakdown

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).

{
  "mcpServers": {
    "escapeboy-agent-fleet-o": {
      "url": "https://fleetq.net/mcp"
    }
  }
}

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

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