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AtlasRepo

Building a local Knowledge Library into a desktop AI agent (aiFetchly)

Description and use

aiFetchly enables a local desktop AI agent that uses RAG to draft emails and reports grounded in your documents, eliminating manual copy‑paste.

Problem

Generic chatbots cannot access a company’s proprietary documents (brochures, pricing PDFs, support FAQs) without manual pasting, limiting grounded content creation.

Outcome

aiFetchly enables automated, document‑grounded content creation on local desktops, eliminating manual copy‑paste and improving accuracy and efficiency for outreach and marketing tasks.

Workflow

  • 1. Install aiFetchly on the desktop (Windows, macOS, or Linux).
  • 2. Add desired documents (PDF, Word, HTML) to the local Knowledge Library via the GUI or command line.
  • 3. Configure RAG settings to index the library for quick retrieval.
  • 4. Use the AI agent to draft emails, reports, or marketing content; the agent pulls relevant information from the indexed documents.
  • 5. Optionally integrate with lead research, Local Business Finder, SMTP outreach, and scheduled workflows for automated outreach.
  • 6. Manage permission‑gated tools, plugins, MCP, and subagents to keep automation reviewable.

Evidence

aiFetchly is an open‑source desktop AI agent with a local Knowledge Library that uses RAG so drafts and answers can pull from your own documents (PDF, Word, HTML) on Windows, macOS, and Linux.

Source

Grounded email and report drafts from your files

Source

  • Record date: 2026-09-18T12:15:32.030Z