xpander.ai is the AI Agent platform that accelerates developer experience for building, testing and deploying AI agents. It allows developers to design AI Agent behaviors, and invoke them with an SDK. The SDK can be used with popular AI frameworks such as SmolAgents and LangGraph, as well as with LLM provider SDKs such as OpenAI, Anthropic, Gemini while maintaining flexibility and avoiding vendor lock-in.

The platform handles the complex infrastructure needed for managing thousands of AI Agent to user interactions, maintaining complex AI agent states via the state machine, and orchestrating multi-step agent workflows. This comprehensive approach lets developers focus exclusively on agent logic rather than worrying about underlying infrastructure concerns.

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Core design principles:

  1. Focus on agent logic, not infrastructure: The xpander engine handles complex state management, scaling, and deployment concerns so you can focus on what your AI agents do.

  2. Framework and provider independence: Build once and deploy with any LLM provider or agent framework without rewriting your code.

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Platform Value Propositions

✅ Unified state management — Built-in memory objects make agents stateful, with thread support across frameworks.

✅ Agent-to-Tools — Instantly convert any REST API using Xpander’s tool generator and use it as a standalone MCP or agent function.

✅ Out-of-the-box Agent-to-Agent protocol — Complete orchestration rules between agents with no additional coding.

✅ LLM-agnostic — Compatible with OpenAI, Bedrock, Anthropic, and more LLM providers.

✅ Framework-agnostic — Works seamlessly across LangChain, LlamaIndex, HuggingFace, CrewAI, and other agent frameworks.

✅ Human interfaces out-of-the-box — REST API, Web UI, MCP, and Webhook support included.

✅ Runs anywhere — Deploy on managed runtime or your own infrastructure.

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Key Platform Features

Agentic Interfaces

Equip your AI Agents with pre-built connectors to SaaS systems, or generate your own connectors by supplying API documentation.

Agent Graph System

Control autonomous AI agents with precise boundaries and predictable behavior patterns.

State Management

Scale AI state machines horizontally to handle thousands of concurrent users across different frameworks and LLM providers.

Agent triggering

Trigger your AI Agents from Human interfaces like Slack, Teams and Web UIs, or programmatically from other AI Agents, MCP, Rest API with zero configuration.

Framework Flexibility

Switch between different agent frameworks (SmolAgents, LangGraph) without rewriting your agent logic.

Provider Independence

Avoid vendor lock-in by easily switching between LLM providers (OpenAI, Anthropic, Gemini).

On-Premises Deployment

Run the entire platform within your organization’s VPC for complete data control and security compliance.

Here’s a glance of how quickly you can design your first AI Agent. Move to the Quickstart section to start building.

Example scenario: Build an AI agent that retrieves top AI news from Hacker News.

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Model & Framework Flexibility

xpander.ai is completely model-agnostic and framework-agnostic, giving you maximum flexibility in how you build and deploy your AI agents:

  • No-Code Option: The xpander Workbench lets you create fully functional agents without writing a single line of code. This is a great starting point for early prototyping, before moving to production-grade AI Agents that you deploy in your CI/CD process.

  • Any LLM Model: Use OpenAI, Anthropic Claude, Google Gemini, or other LLM providers based on your specific needs and preferences.

  • Any Agent Framework: Seamlessly integrate with popular agent frameworks like LangGraph or HuggingFace’s Smoleagents while leveraging xpander’s enhanced capabilities.

For more advanced code-based implementations after creating your agent in the platform: