​
Quickstart Guide

This guide will help you get ChatterMate up and running quickly using our CLI tool. The fastest way to get ChatterMate running is with our CLI tool:
1

Install CLI

Install the ChatterMate CLI globally:
npm install -g chattermate-cli
2

Create Project

Initialize a new ChatterMate project:
chattermate init my-chattermate-project
cd my-chattermate-project
3

Start Services

Start all services with Docker:
chattermate start
4

Access Dashboard

Open your browser and visit:
  • Frontend Dashboard: http://localhost/
  • Backend API: http://localhost:8000
  • API Documentation: http://localhost:8000/docs

​
CLI Commands

chattermate init <project-name>    # Initialize a new project
chattermate reset                  # Reset and cleanup project

​
Manual Installation

If you prefer to set up ChatterMate manually or need custom configuration:

​
Backend Setup

# Clone the repository
git clone https://github.com/chattermate/chattermate
cd chattermate/backend

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Copy and configure environment variables
cp .env.example .env
# Edit .env file with your configurations

​
Frontend Setup

# Navigate to frontend directory
cd frontend

# Install dependencies
npm install

# Copy and configure environment variables
cp .env.example .env
# Edit .env file with your configurations

​
Database Setup

1

Create Database

Create a PostgreSQL database and enable the vector extension:
CREATE DATABASE chattermate;
\c chattermate
CREATE EXTENSION vector;
2

Run Migrations

Apply the database migrations:
alembic upgrade head

​
Running the Application

# Start the backend server
uvicorn app.main:app --reload --port 8000

​
Verify Installation

  1. Open your browser and navigate to http://localhost:8000/docs to view the API documentation
  2. Visit http://localhost/ to access the web interface (CLI) or http://localhost:3000 (manual setup)
  3. Try sending a test message in the chat widget

​
Next Steps

Setup Organization

Setup new organization

Configure AI

Configure AI provider

Customize AI Agent

Customizing AI agent

Knowledge Base

Adding knowledge to AI agent

Testing

Testing AI agent

Widget Integration

Adding chat widget to the website

Human Agents

Adding Human Agent

Roles & Permissions

Managing Roles and Permission

Chat Management

Managing Customer chat and Taking over chat