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Installation

Introduction

Simplify Test Case Management with AgentQ's Powerful AI.

Streamline your testing with AI-driven test case creation and boost efficiency.


Key Features

AI-Powered Automation - Leverage AI for test case generation and analysis
Project Management - Organize tests into projects and test runs
API Integration - Connect with 3rd-party tools via API
On-Premise Ready - Self-hosted solution with Docker support


Installation with Docker

Get started with AgentQ Lite in seconds using Docker:

Preparation (Prerequisite)

  1. Make sure you already install Docker (latest version recommended) & PostgreSQL (version 17 recommended)

  2. Create new database with name : agentq_opensource

CREATE DATABASE agentq_opensource;
  1. Pull the latest version agentq image
# Pull the latest version
docker pull agentqai/agentq-lite:latest
  1. Run the agentq image
# Run the container
docker run -d -p 80:80 \
-e DB_HOST=host.docker.internal or localhost or your_IP \
-e DB_PORT=5432 \
-e DB_USERNAME=your_db_user \
-e DB_PASSWORD=your_db_password \
-e DB_DATABASE=agentq_opensource \
--name agentq \
agentqai/agentq-lite:latest

Getting Started

Access the AgentQ

Access the web interface at:
http://localhost:80 (after Docker installation)

login agentq.id

Credential (default)

  • Email
admin@agentq.id
  • Password
agentq

How to Use

Projects

  • Create projects to group related test cases
  • Set project-specific configurations

Test Cases

  • Design manual or AI-generated test cases
  • Add steps, expected results, and tags

Test Runs

  • Execute test cases in batches
  • Track pass/fail status and metrics

API Key Setup

  1. Go to Settings > API Keys
  2. Paste your key from agentq.id
  3. Save to activate AI features

Get Your API Key

To unlock AI features:

  1. Sign up and sign in at agentq.id
login agentq.id
  1. Navigate to API Keys in your dashboard
  2. Copy your unique key
api key

3rd-Party Integrations

Connect with:

  • Confluence (Atlassian)

Need Help?