final polishing of FinditAgent, a Windows tool which allows AI agents to research large collections of local files without vector database (more like grep on steroids, for almost any file-format) - and without giving the AI any access to local file systems.

The user may ask any question, the AI will create the search strategy and queries, FinditAgent will act as a kind of Archivar, doing the searches and sending only results or utf8-excerpts to the AI. The tool offers predefined connections to the api of most cloud models - or to local running AI via ollama.

I have developed the underlying search engine for more than 30 years, now added the agent integration. It's now available on GitHub, free for private and experimental use. At this point I'm mainly polishing the documentation and testing how reliably it works on archives other than my own.

https://github.com/MHoub/Findit-Agent-Frontend

Its a one click windows install and I am very interested in hearing from people who work with large, messy document collections.