WFGY

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    "@type": "SoftwareApplication",
    "@id": "https://agentsignals.ai/agents/wfgy",
    "name": "WFGY",
    "description": "WFGY 2.0 is a semantic reasoning engine based on the MIT license, specifically designed for large language models (LLMs). It addresses drift, collapse, and 'ghost matching' issues in RAG (Retrieval-Augmented Generation) and OCR (Optical Character Recognition) through symbolic overlay and logical patching techniques. The tool supports automatic startup and offers two modes: OneLine and Flagship. For researchers and developers exploring semantic RAG or hallucination mitigation techniques, WFGY 2.0 is a tool worth trying.",
    "url": "https://agentsignals.ai/agents/wfgy",
    "applicationCategory": "开发工具",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/onestardao/WFGY",
    "installUrl": "https://github.com/onestardao/WFGY",
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      "price": "0",
      "priceCurrency": "USD",
      "description": "免费",
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    },
    "featureList": [
      "Fix drift, crashes, and 'ghost matches' in RAG and OCR",
      "Enhance model performance with symbol overlay and logic patch techniques",
      "Support auto-start"
    ],
    "datePublished": "2025-12-05T17:16:48.93479+00:00",
    "dateModified": "2025-12-19T05:07:48.735812+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
      "url": "https://agentsignals.ai"
    }
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    "@type": "FAQPage",
    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is WFGY?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "WFGY 2.0 is a semantic reasoning engine for large language models, designed to address RAG and OCR drift, crashes, and \"ghost matching\" issues."
        }
      },
      {
        "@type": "Question",
        "name": "What features does WFGY offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Fix drift, crashes, and 'ghost matches' in RAG and OCR, Enhance model performance with symbol overlay and logic patch techniques, Support auto-start"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for WFGY?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Improve semantic understanding and generation capabilities of large language models, Enhance accuracy and stability of OCR systems, Research and develop semantic RAG and hallucination mitigation techniques"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of WFGY?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "有效解决技术难题, 开源许可，便于定制和扩展, 支持多种操作模式"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of WFGY?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "可能需要较高的技术背景来充分利用其功能, 特定场景下的适用性需进一步验证"
        }
      }
    ]
  }
]