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. 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:

  1. Answering a returning client. The agent can check what was agreed before, rather than asking the client to repeat it.
  2. Drafting a reply in your voice. It can use your previous emails and documents as context, so a draft sounds like your team, not like a template.
  3. Finding the right document fast. Instead of opening ten files, you ask the agent to find the relevant section and summarise it for the task at hand.

A simple workflow a small team can copy

  1. Add the documents you actually reuse: service descriptions, FAQs, past quotes, and onboarding notes.
  2. When a client email arrives, ask aiFetchly to draft a reply using that knowledge base, and review the draft before sending.
  3. After the job is done, add the final version and any new client preference to the knowledge base, so the next reply is better.

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.

Watch it in action

This short demo shows the local knowledge base / private memory in aiFetchly:
https://www.youtube.com/watch?v=FTGsQ27HsfA

Pricing, honestly

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.

Try it, and tell us what is missing

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