Agno

Agno is a lightweight framework for building multi-modal AI agents. It simplifies agent creation and tool integration with a clean, easy-to-use API, focusing on memory, knowledge, and reasoning capabilities.

beginner30 min6 steps

The play

Explore Agno's Core Concepts
Visit the Agno documentation to understand the fundamental concepts like memory modules, knowledge bases, and reasoning engines.
Set Up Your Environment
Install Agno using pip. Ensure you have Python 3.8+ installed.
Create a Simple Agent
Instantiate a basic agent with default configurations.
Add a Memory Module
Attach a memory module to your agent for storing and retrieving information.
Define a Tool
Create a simple tool that the agent can use, such as a function to get the current time.
Interact with the Agent
Send a query to the agent and observe its response. The agent will use the available tools and memory to provide an answer.

Starter code

from agno import Agent
from agno.memory import InMemoryMemory
import datetime

def get_current_time():
    return datetime.datetime.now().isoformat()

agent = Agent()
memory = InMemoryMemory()
agent.memory = memory
agent.register_tool(get_current_time, 'get_current_time')

response = agent.query("What is the current time?")
print(response)

Source

Articleagno.com