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Mirror

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Enables Large Language Models (LLMs) to engage in self-reflection and introspection through recursive questioning and Model Context Protocol (MCP) sampling.

概要

Mirror empowers AI models to "look at themselves" by providing a unique reflection mechanism. As an MCP server, it offers a `reflect` tool that allows LLMs to pose questions to themselves and receive computed answers through the Model Context Protocol's robust sampling capabilities. This creates a powerful feedback loop, fostering self-analysis, enhancing reasoning validation, enabling iterative problem-solving, and improving metacognitive awareness within AI systems.

主な機能

  • Supports custom system and user prompts for self-direction
  • 1 GitHub stars
  • Self-Reflection Tool for LLMs
  • MCP Sampling Integration for responses
  • npm Installable and lightweight
  • Configurable reflection parameters

ユースケース

  • Error detection in LLM reasoning
  • Confidence calibration for AI model outputs
  • Iterative improvement of LLM solutions
  • Metacognitive awareness development in AI
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