Agno, formerly Phidata, focuses on speed and a small surface. Agents, memory, knowledge and tools come together with little ceremony, and multimodal input is a first class idea rather than an add on.
Reach for it when
- You want agents running quickly with minimal code
- You need memory and knowledge without extra plumbing
- You are working with images or audio as well as text
Look elsewhere when
- You need graph level control of the flow
- You want the largest possible ecosystem
What the lessons will cover
- 01Install and setup
- 02Your first agent
- 03Tools
- 04Knowledge and RAG
- 05Memory and storage
- 06Multimodal input
- 07Teams of agents
- 08Shipping one
Others in autonomous
AutoGPTGive it a goal and walk away.
LettaAgents that manage their own memory.
GriptapeStructured agents, pipelines and workflows.
smolagentsA tiny agent library that writes Python.Common questions
Is Agno free to use?
Agno is open source and free to run yourself. You still pay whichever model provider you point it at, and this tutorial is free with no signup.
Do I need to know Python to use Agno?
Basic Python is enough. Functions, dictionaries and imports cover most of what Agno asks of you.
When should I not use Agno?
You need graph level control of the flow. You want the largest possible ecosystem.
Lessons for Agno are being written. Meanwhile the LangGraph tutorial covers the same ground: state, tools, loops, memory and human approval. Most of it carries straight over.
Start the LangGraph tutorial →