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.
Your documents stay local-first. Instead of pasting client history into a generic chatbot every time, the agent can refer to the material you have already given it: your services, your pricing notes, your past proposals, and the way you usually answer common questions.
That matters most for three everyday jobs:
The point is not to remove the human. It is to remove the repeated searching and retyping, so the human can focus on the decision, the tone, and the relationship.
This short demo shows the local knowledge base / private memory in aiFetchly:
https://www.youtube.com/watch?v=FTGsQ27HsfA aiFetchly has a free Community plan, plus Go at $5/month, Plus at $10/month, and Pro at $30/month. The AI Content Assistant is a Plus-only feature. Start with Community if you want to test the local knowledge base on your own documents first.
If you run a small team, what client knowledge do you wish your tools remembered? Pricing exceptions? Preferred contact styles? Past project details? I would love to hear which documents you would put in a private memory first — and what would make you trust it enough to use it every day.
Learn more: [https://www.aifetchly.com](https://www.aifetchly.com)