Screenpipe vs TMCRA Agent Memory

In-depth architectural comparison of the Screenpipe and TMCRA Agent 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 Screenpipe 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 Screenpipe Details

T

Choose TMCRA Agent Memory 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).
• Primary tools included: tmcra_memory_control, tmcra_feedback, tmcra_recall.

Explore TMCRA Agent Memory Details

Feature & Specification Comparison

Specification	Screenpipe Knowledge & Memory	T TMCRA Agent Memory Knowledge & Memory
Summary	Local-first workflow memory for AI agents. screenpipe lets MCP clients search selected screen, audio, app, and meeting context and turn real work into cited notes, SOPs, workflow reports, and automation candidates.	Role-aware Agent memory with cross-session recall, durable writes, and multi-Agent project scope.
Category & Scope	Knowledge & Memory	Knowledge & Memory

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": {
    "screenpipe": {
      "command": "npx",
      "args": [
        "-y",
        "screenpipe"
      ]
    }
  }
}

{
  "mcpServers": {
    "tmcra-agent-memory": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

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