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Create your agent

new-agent.sh
xpander agent new --name "state-full-agent" --framework agno --folder .
This creates a serverless backend instance with base template files:
  • Dockerfile - Container configuration
  • requirements.txt - Python dependencies
  • xpander_handler.py - Agent Event Listener
  • .env - API key and agent ID configuration
The serverless agent is immediately available for testing:
invoke-agent.sh
xpander agent invoke "state-full-agent" "hi"
Or use the Web UI at https://app.xpander.ai/agents/agent-id

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Write the agent code

The default serverless agent uses a basic template. Create myAgent.py to customize behavior:
myAgent.py
from dotenv import load_dotenv
load_dotenv()

from agno.agent import Agent
from xpander_sdk import Backend

class MyAgent(Agent):
    def __init__(self, **kwargs):
        agent_backend = Backend()
        super().__init__(**agent_backend.get_args(), **kwargs)

    def local_test(self):
        self.print_response("How many people live in Canada?")
        self.print_response("And what's their favorite food?")

myAgent = MyAgent()
myAgent.local_test()
The Backend instance includes a PostgreSQL database with read/write permissions, system prompt, model settings, and Tools/MCP integrations. When loaded into Agno, it automatically creates the database schema. All settings can be overridden in code using the override parameter:
# Override model example
backend = Backend()
agent = Agent(**backend.get_args(override={
    'model': Ollama(id="gpt-oss:20b")
}))
Create a virtual environment, install dependencies, export your API key and run the Agent.
1

Setup environment

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
export OPENAI_API_KEY="your-key"
2

Run locally

python myAgent.py

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Output

The agent remembers the conversation context between questions:
Stateful Agent Output
Access your PostgreSQL database with myAgent.storage.db_url or view all messages using get_messages_for_session().

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Deploy Updates

After testing, update xpander_handler.py to use your MyAgent instance instead of the default agno_agent object. Example:
xpander_handler.py
from myAgent import MyAgent

@on_task
async def my_agent_handler(task: Task):
    backend = Backend(configuration=task.configuration)
    agno_args = await backend.aget_args(task=task)
    
    my_agent = MyAgent(**agno_args)
    result = await my_agent.arun(message=task.to_message())
    
    task.result = result.content
    return task
And deploy your custom version: 
xpander agent deploy
This replaces the serverless agent with your dedicated container. Traffic routes through xpander_handler.py.