xpander.ai is a backend-as-a-service platform designed specifically for building, deploying, and managing AI agents. It provides a complete AI agent backend including runtime, memory, knowledge bases, tools integration, and scaling capabilities, aiming to simplify AI agent development and operation in production environments.

What types of AI agents can I build with xpander.ai?

You can build various types of AI agents including Onboarding Assistants to guide new employees, IT Support Bots for password resets and system status checks, Customer Service Agents to handle support tickets and escalate issues, Sales Assistants for lead qualification and CRM updates, and DevOps Helpers for deployment monitoring and diagnostics. Also, you can embed xpander as an AI backend for your custom applications, integrating with any Python framework like LangChain or AutoGen.

How do I get started with xpander.ai?

You can start by creating or selecting an existing agent using the web-based Workbench or the CLI tool. Setup involves configuring the runtime environment, AI models, tools, instructions, and knowledge bases. Code can be downloaded and customized locally. The platform supports both UI-based and CLI workflows for flexibility.

What AI models does xpander.ai support?

xpander.ai allows configuration of AI models including popular large language models (LLMs) like OpenAI’s GPT-4o by default. You can add pre-configured models or bring your own API keys for models you prefer to use.

Can xpander.ai agents access external data?

Yes, xpander.ai supports integration with many external tools and connectors, enabling agents to automate tasks, access external data sources, create workflows, and generate content. For example, integration with the Bright Data connector allows agents to perform real-time web scraping and data retrieval without coding.

What development frameworks does xpander.ai support?

xpander.ai is framework-agnostic and supports integration with Python agent frameworks such as LangChain, CrewAI, and AutoGen. This lets developers build AI agent frontends they control while xpander handles AI processing, memory, and scaling.

How does xpander.ai handle agent memory and state?

xpander.ai provides built-in state management that ensures agents are fault-tolerant and can maintain persistent memory across sessions. This allows agents to resume interrupted tasks, learn over time, and deliver personalized experiences.

Can I deploy xpander.ai agents on my own infrastructure?

Yes, agents can be deployed either on the xpander.ai cloud platform or on your own Kubernetes cluster, giving you control over security, observability, and scaling.

What tools and APIs are available?

xpander.ai includes a repository of pre-built MCP (multi-channel processing) tools and supports custom tools via decorators like `@register_tool`. You can add API integrations, external connectors, and business logic within your agent code. The platform provides SDKs and CLI commands to manage agents programmatically.

Is there support for building and managing multiple versions and testing?

Yes, xpander.ai supports spinning up new versions, sandbox testing, rolling back releases, and includes CI/CD pipelines specifically for AI agents to streamline the development lifecycle.

What pricing plans does xpander.ai offer?

Pricing details describe plans such as a Database Q&A Agent at $10/month, with considerations for usage quotas like average question volume. For detailed pricing and plan selection, xpander.ai provides documentation and sales contact.

Where can I find more help or contact support?

For support and inquiries, xpander.ai provides contact options including demos and email. Documentation and community resources are also available online.

xpander.ai

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xpander.ai simplifies building and deploying AI agents. It handles all the complex technical backend tasks, like server management, agent memory, and tool connections. Developers can focus on the agent's core purpose, speeding up development and getting AI agents live quickly in applications like Slack or on your website.

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Overview Features Use Cases FAQ Integrations Pricing

About xpander.ai

Who It's For

This tool is for developers and businesses building AI agents. It helps create smart bots for customer service, IT, or sales. If you want to deploy agents fast without complex tech setup, this platform simplifies the process for individuals and large organizations alike.

What You Get

You receive a complete backend for your AI agents. This includes built-in memory for conversations, access to external tools, and scalable user support. Easily deploy agents to Slack, Teams, or your website, with straightforward testing and updates.

How It Works

Start by choosing an agent template or building your own. The platform handles all hidden technology, ensuring agents run smoothly. It manages AI models, collects user input, and maintains agent memory. Deploy agents easily using simple commands, either on the cloud or your own servers.

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Features & Capabilities

⚙️ Agent Development & Operations

Invisible Agent Infrastructure

Eliminates the need to manage underlying infrastructure for AI agents.

Rapid Development Lifecycle

Enables building, deploying, testing, and releasing new agent versions quickly.

CI/CD & Versioning

Provides built-in continuous integration, deployment, and rollback support for agents.

Framework-Agnostic Support

Allows agents to run on any AI framework, with pre-configured environments.

🧠 Core Agent Intelligence & Management

AI State Management

Orchestrates complex tasks with built-in fault tolerance, resumability, and memory across sessions.

Extensive Tooling & Connectors

Accesses over 2000 pre-built tools and allows creation of custom tools for private APIs.

Multiple AI Runtime Support

Integrates with various AI model providers like OpenAI, Agno, and Anthropic.

Centralized Agent Control

Provides a single platform to invoke, reuse, and extend agents with tools, runtime, and memory.

🔗 Integration & User Experience

Unified Event Streaming

Consolidates AI-ready events from various sources like Slack, web UIs, and webhooks.

Multi-Channel Deployment

Deploys agents to Slack, Teams, or custom web interfaces with built-in features.

Built-in Access Control & Auth

Manages natural authentication and organization-wide access for deployed agents.

Agent Graph System

Offers a unique system for agent orchestration with implicit control flows and customizable FSMs.

Use Cases

Accelerating AI Agent Development and Deployment

Developers and platform owners face significant overhead in building, testing, and deploying AI agents due to complex infrastructure, versioning, and scaling challenges. xpander.ai provides a robust backend-as-a-service with built-in CI/CD, testing environments, and invisible infrastructure management, enabling a 90% faster development lifecycle and allowing teams to focus purely on business logic.

B2B SaaS, Enterprise ITFor: Software Developers, AI Engineers, Platform Owners, DevOps Teams

Deploying Intelligent Conversational AI Across Enterprise Channels

Organizations struggle to deploy intelligent, stateful AI agents across various user touchpoints like Slack, Teams, and web interfaces, often facing issues with integration, memory management, and access control. xpander.ai simplifies this by providing a unified platform with built-in human-machine interfaces, natural authentication, persistent memory, and multi-channel event streaming, enabling seamless and personalized user interactions.

Customer Service, Enterprise Communications, IT Services, Human ResourcesFor: Product Managers, IT Leaders, Customer Experience Teams, HR Leaders

Automating Complex Business Workflows with Autonomous Agents

Enterprises require intelligent automation for multi-step, decision-heavy business processes that integrate with numerous external systems and demand high reliability. xpander.ai offers an advanced agent graph system, a vast tool repository with 2000+ connectors, and robust AI state management, enabling the creation of fault-tolerant, resumable, and observable autonomous agents that streamline intricate workflows.

Enterprise Automation, Financial Services, Logistics, Data & AnalyticsFor: Automation Engineers, Solutions Architects, Business Process Owners, Data Scientists

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