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io.github.IgorGanapolsky/rlhf-feedback-loop

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Publisher-provided description

RLHF feedback loop for AI agents. Capture signals, promote memories, block mistakes, export DPO.

Summary by lookupd

Captures agent feedback signals, promotes useful memories, blocks repeated mistakes, and exports preference data for DPO training.

Install

Claude Code, npm package (stdio)

claude mcp add rlhf-feedback-loop -- npx -y rlhf-feedback-loop

Codex, npm package (stdio)

codex mcp add rlhf-feedback-loop -- npx -y rlhf-feedback-loop

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "rlhf-feedback-loop": {
      "command": "npx",
      "args": [
        "-y",
        "rlhf-feedback-loop"
      ]
    }
  }
}

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