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io.github.ragbase/ragbase-shield

io.github.ragbase/ragbase-shield

Official
by ragbase

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    • F
      license
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      quality
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      Enables Claude to work on documents containing personal data by pseudonymizing names, addresses, IBANs, health data and other GDPR categories locally before they are sent, then restoring the real values on your own machine. Supports Word, Excel, PowerPoint, PDF, CSV, Markdown, e-mail and other formats with consistent pseudonyms per project and no data leaving the computer.
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    • A
      license
      A
      quality
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      maintenance
      Privacy layer for healthcare AI agents. Pseudonymises patient identifiers (NHS numbers, names, dates of birth, addresses; UK and US) into labelled tokens locally before text reaches an agent, then restores the originals afterwards, keeping the token map out of agent context.
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    • A
      license
      A
      quality
      D
      maintenance
      Provides local anonymization of Czech legal documents by replacing sensitive entities with pseudonyms to ensure privacy during LLM interactions. It allows users to safely process documents like contracts and judgments by keeping original data offline and facilitating local deanonymization.
      5
      5
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables irreversible anonymisation of documents and spreadsheets (PDF, Word, PowerPoint, HTML, Excel, CSV) into consistent pseudonymised Markdown before they reach an AI, keeping names, national IDs, bank details and contact data unrecoverable. Runs as a free online HTTP endpoint needing no key, or locally with the full engine bundled so nothing leaves the machine.
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to browse and read files from allowlisted folders while names, IDs, contacts, and secrets are replaced with consistent tokens locally before the agent ever sees them. The agent's final answer can then be restored to the original values locally, with no write tools and no file contents leaving the machine.
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      license
      B
      quality
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      Enables local grammar-preserving masking of sensitive content, entities, and code identifiers into synthetic tokens before sending prompts to LLMs, then restores the original text and symbols from responses using session-scoped in-memory mappings.
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      2
      Apache 2.0