Hister: A private search engine for the pages you visit and the files you keep

Your browser history and local files are now searchable with full-text indexing on your own server.

Hister has been released as an open-source project, offering a private, self-hosted search engine for personal data. Developed by asciimoo and hosted on GitHub, Hister allows users to index and search the content of web pages they visit and local files they store. It features full-text indexing, enabling searches through a web interface, terminal, or AI assistants connected via MCP. The tool supports automatic browser indexing through extensions for Firefox and Chrome, and can also import existing browser history and local directories. Hister emphasizes privacy with no telemetry and no mandatory cloud services, with data stored locally on the user's server. Optional semantic search capabilities can be configured by connecting to a chosen embeddings endpoint.

The release of Hister as an open-source project signifies a growing demand for privacy-focused tools that grant users complete control over their data. By enabling local indexing of web pages and files, Hister directly addresses concerns about data harvesting by traditional search engines and cloud services, positioning itself as a valuable asset for individuals and organizations prioritizing digital autonomy. Its flexible architecture, supporting web, terminal, and AI assistant interfaces, further enhances its utility across diverse user needs and workflows.

For users concerned about the proliferation of personal data online, Hister offers a tangible solution for reclaiming search capabilities without compromising privacy. The ability to integrate with external AI assistants via MCP is particularly noteworthy, suggesting potential for more sophisticated, privacy-preserving personal knowledge management systems. Future developments may focus on expanding integration options and enhancing the semantic search capabilities, further blurring the lines between personal data organization and intelligent information retrieval.