Quickstart | Agno

This guide walks through the basics of building Agents with Agno. Each example builds on the previous one, from a simple agent with tools to multi-agent teams and workflows.

#	Example	What You'll Learn
01	Agent with Tools	Give an agent tools to fetch real-time data
02	Agent with Structured Output	Request structured output and check the parsed type
03	Agent with Typed Input and Output	Validate inputs and check parsed output types
04	Agent with Storage	Persist conversations across runs with session management
05	Agent with Memory	Remember user preferences across sessions
06	Agent with State Management	Track, modify, and persist structured state
07	Agentic Search over Knowledge	Load documents into a knowledge base and search with hybrid search
08	Agent with Learning	Save and search reusable learnings across users
09	Agent with Guardrails	Add input validation, PII detection, and prompt injection checks
10	Human in the Loop	Require user confirmation before executing tools
11	Multi-Agent Team	Coordinate multiple agents by organizing them into a team
12	Sequential Workflow	Sequentially execute agents, teams, and functions in a pipeline
13	Agent OS	Start the API/runtime and connect it to the AgentOS control plane