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    font-weight: 100;
    font-style: normal;
  }
  
  body, p, span, a, li, language-* {
    font-family: 'Helvetica Thin', Arial, sans-serif;
    font-weight: 100;
  }
  
  h1, h2, h3, h4, h5, h6 {
    font-family: 'Helvetica Thin', Arial, sans-serif;
    font-weight: 100;
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  .topbar   -cta-button {
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  .topbarCtaButton a {
    background-color: #753fcc; /* Button background color */
    color: #ffffff !important; /* Button text color */
    border: none;
    padding: 10px 20px;
    border-radius: 4px;
    text-decoration: none;
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// Analytics initialization
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})(); 

Configure Agent Command

Usage

Options

Basic Configuration

Advanced Configuration with Options

Examples

Response

Notes

Configure advanced settings for an AI Agent

Configure Agent

xpander.ai

globe-pointer

code

code-simple

slack

discord

book

terminal

note

Welcome to xpander.ai

Quickstart

Learn how to import and reuse existing AI agents in your projects

Import Existing Agents

Learn how to use the AI Agent Builder to create and customize AI agents

Using the AI Agent Builder

Learn how to manage state for individual AI agents

Single Agent State Management

Learn how to manage collaboration between multiple AI agents

Multi-Agent Collaboration

Manage user interactions and session state in AI agent applications

User Sessions

Practical examples of state management in AI agents

State Management Examples

Learn how to add a provider to your application

Add a Provider

Learn how to authenticate users for secure access to AI agents

Authenticate Users to AI Agents

Practical examples of implementing authentication in AI agents

Authentication Examples

Integrate voice interfaces with your AI agents

Voice APIs

Slack Bots

Build and customize web interfaces for your AI agents

Web User Interface

Learn how to add and configure tools for your AI agents

Add Tools to Agents

Learn how to create custom tools for your AI agents

Create Custom Tools

Learn how to execute and manage tools in AI agents

Run Tools

Learn how to use the xpander SDK for LLM orchestration and function calling

Getting Started with xpander SDK

API reference for the xpander AI SDK function calling capabilities

SDK Function Calling

API reference for implementing and using local functions with the xpander AI SDK

SDK Local Functions

How to run an agent with the xpander AI SDK

Full example

API reference for manually invoking tools with the xpander AI SDK

SDK Manual Tool Invocation

Gets all tools / function calling available for the agent

Get Tools

Invokes a specific tool / function on the xpander.ai agent with given parameters.

Run tool

Command line interface for managing xpander.ai agents and resources

CLI Overview

Login

Logout

Set Engine

Display current engine settings and status

Engine Status

Deploy a local xpander.ai engine using Docker

Deploy Engine

List all registered AI Agents in your organization

List Agents

View detailed information about a specific AI Agent

Agent Details

Get instrumentation code for integrating xpander.ai capabilities into an existing AI Agent

Agent Instrumentation

List Tools

Add Tool

Remove Tool

List all API interfaces available for an AI Agent

List Interfaces

Add and configure an API interface for an AI Agent

Add Interface

Remove a communication interface from an AI Agent

Remove Interface

List all AI Agent Teams in your organization

List Teams

Create Team

Add Agent to Team

Remove Agent from Team

List all organizations available to the user

List Organizations

Switch Organization

View detailed information about an organization

Organization Details

View configuration settings for an AI Agent

View Configuration

Modify configuration settings for an AI Agent

Set Configuration

Learn how to build with xpander.ai through step-by-step tutorials

Tutorials

01 create agent

02 add tools

03 use interfaces

01 multi agent

02 custom tools

03 state management

04 build no code custom gpt agent

Build Better AI Agents with the Agent Graph System and Agentic Interfaces

Design AI agents visually and choose between serverless or custom LLM deployment

Option	Description
`--memory <type>`	Memory type: `ephemeral`, `persistent`, or `distributed`
`--knowledge <source>`	Knowledge base source: `vector-db`, `pinecone`, `custom`
`--llm-key <api_key>`	API key for the LLM service (OpenAI, Anthropic, etc.)
`--options <json>`	Additional configuration options in JSON format

Get Started

Agent Builder

AI State Management

User Authentication

Human Interfaces

Tools

SDK Reference

API Reference

CLI Reference

Tutorials

Configure Agent

Configure Agent Command

Usage

Options

Examples

Basic Configuration

Advanced Configuration with Options

Response

Notes

Get Started

Agent Builder

AI State Management

User Authentication

Human Interfaces

Tools

SDK Reference

API Reference

CLI Reference

Tutorials

​Configure Agent Command

​Usage

​Options

​Examples

​Basic Configuration

​Advanced Configuration with Options

​Response

​Notes

Configure Agent Command

Usage

Options

Examples

Basic Configuration

Advanced Configuration with Options

Response

Notes