Hister Gives AI Assistants Private Search Access to Your Local Browsing Data

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Hister is a personal search engine that indexes web pages and local files as users browse, storing all data locally on the user's own machine. It now supports the Model Context Protocol (MCP), allowing AI coding assistants to query a user's private index rather than relying solely on broad training data. Through MCP integration, users can prompt their AI assistant to retrieve specific articles, documentation, or research they previously browsed, with results grounded in their own history. The tool can also index project documentation recursively, making it useful for querying internal wikis, private APIs, or older libraries. Because all indexed data remains local, Hister positions itself as a privacy-respecting layer of personal context for AI assistants.

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