What is Backend for AI Agents?

xpander.ai offers Backend-as-a-Service infrastructure for autonomous agents: memory, tools, multi-user state, various agent triggering options (MCP, A2A, API, Web interfaces), storage, agent-to-agent messaging — designed to support any agent framework and SDK

Platform Components

xpander.ai provides a comprehensive set of technical components to power your AI agents from development to production:

Quick Demo

Getting started

Build AI agents faster by focusing exclusively on agent logic rather than infrastructure

# Get your agent
agent = xpander.agents.get(agent_id=os.getenv("XPANDER_AGENT_ID"))

# Manage AI state with a single API (is_finished)
while not agent.is_finished():
    # Get LLM response
    response = llm_provider.chat.completions.create(
        model="function-call-model",
        messages=agent.messages,  # Auto-translate messages object between frameworks
        tools=agent.get_tools(),  # Auto-translate tools object between frameworks
    )

    # Extract tool calls from the AI response
    tool_calls = XpanderClient.extract_tool_calls(
        llm_response=response.model_dump()
    )

    # Securely run the AI choices in xpander cloud after validating generated payloads
    # Auto-enforce API Rules and dependencies
    agent.run_tools(tool_calls=tool_calls)

# Asynchronously load the agent result for long-running multi-step tasks
task_result = agent.retrieve_execution_result()