ContextQMD
Back to Agno

Agno Overview

cookbook/00_quickstart/data/agno_overview.md

2.8.21.6 KB
Original Source

Agno Overview

Agno is a framework and runtime for building, running, and managing agent platforms.

The Stack

  • Agno SDK: Define agents, teams, workflows, tools, knowledge, memory, and learning in Python.
  • AgentOS runtime: Serve those components through production APIs with sessions, streaming, tracing, and human approval.
  • AgentOS UI: Connect to an AgentOS endpoint to chat with components and inspect sessions, traces, knowledge, memory, and learning.

Agno is model-agnostic. An agent combines a model with instructions, tools, and optional context such as knowledge or memory.

Minimal Tool-Using Agent

python
from agno.agent import Agent
from agno.models.google import Gemini
from agno.tools.yfinance import YFinanceTools

agent = Agent(
    model=Gemini(id="gemini-3.6-flash"),
    tools=[YFinanceTools()],
)

agent.print_response("What's AAPL's current price?", stream=True)

Choosing a Building Block

  • Start with an Agent for one coherent job.
  • Use a Team when independent specialists or perspectives improve the result enough to justify extra latency and cost.
  • Use a Workflow when steps must execute in an explicit, repeatable order.
  • Use AgentOS to run and inspect the complete system.

Data Ownership

Agno applications can keep sessions, memory, knowledge, and traces in databases the application owner controls. Production deployments should use appropriate authentication, authorization, tenant isolation, and durable storage.

Where to Go Next