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Let’s build an agent that can answer questions about Agno, remembers previous conversations, and runs as a production API — all in about 20 lines. Save the following code as agno_assist.py:
agno_assist.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.anthropic import Claude
from agno.os import AgentOS
from agno.tools.mcp import MCPTools

agno_assist = Agent(
    name="Agno Assist",
    model=Claude(id="claude-sonnet-4-5"),
    db=SqliteDb(db_file="agno.db"),                     # session storage
    tools=[MCPTools(url="https://docs.agno.com/mcp")],  # Agno docs via MCP
    add_datetime_to_context=True,
    add_history_to_context=True,                         # include past runs
    num_history_runs=3,                                  # last 3 conversations
    markdown=True,
)

# Serve via AgentOS → streaming, auth, session isolation, API endpoints
agent_os = AgentOS(agents=[agno_assist])
app = agent_os.get_app()
That’s it. This gives you streaming responses, per-user session isolation, and a full API — no extra configuration.

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Run your AgentOS

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Install dependencies

uv pip install -U 'agno[os]' anthropic mcp
3

Export your Anthropic API key

export ANTHROPIC_API_KEY=sk-***
4

Run your AgentOS

fastapi dev agno_assist.py
This starts your AgentOS at http://localhost:8000. View the auto-generated API docs at http://localhost:8000/docs. You can add your own routes, middleware, or any FastAPI feature on top.

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Connect to the AgentOS UI

The AgentOS UI connects directly to your runtime, letting you monitor, manage, and test your agents.
  1. Open os.agno.com and sign in.
  2. Click “Add new OS” in the top navigation.
  3. Select “Local” to connect to a local AgentOS.
  4. Enter your endpoint URL (default: http://localhost:8000).
  5. Name it something like “Development OS”.
  6. Click “Connect”.
Once connected, you’ll see your OS with a live status indicator.

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Chat with your Agent

Go to Chat in the sidebar, select your Agent, and ask “What is Agno?” — the agent will pull from the Agno docs MCP server to answer.
Click Sessions in the sidebar to view your Agent’s conversations. Data is stored in your local database — no third-party tracing required.

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