Disclosure: I'm a member of the aiFetchly team. This post introduces our open-source, local-first desktop AI agent, aiFetchly ( https://www.aifetchly.com ), and explains one practical use case for small teams.

Small teams often know their clients well, but that knowledge lives in scattered places: old emails, PDFs, proposals, meeting notes, and price lists. When a new enquiry arrives, someone has to search through all of it before they can reply properly. That is slow, and it is easy to miss a detail a client already shared.

A local knowledge base changes that workflow. With aiFetchly, a team can build a business knowledge base from its own documents and let the agent use that private memory when it works on client tasks.

What "private memory" means here

Your documents stay local-first.…