Agno: EASILY Build Agents with Memory, Knowledge, Tools & Reasoning! (Opensource)
Updated: March 9, 2025
Summary
Agno, formerly known as fi Datawell, is an open-source framework designed for constructing AI agents with advanced memory knowledge. The framework emphasizes simplicity through the use of pure Python, high performance with low memory usage, and versatility to support any model as a foundation for AI agents. With its recent upgrade, Agno has surpassed its competitors by being 5,000 times faster and utilizing significantly less memory. Users are guided on how to get started with Agno, including accessing the repository, utilizing built-in memory tools and storage capabilities, and setting it up locally by installing necessary tools like Git and following the documentation for building various types of agents.
Introduction to Agno Framework
Agno, previously known as fi Datawell, has undergone a rebranding and significant upgrade. It is an open-source framework for building AI agents with high-performance memory knowledge.
Core Principles of Agno
Agno is built on three core principles: simplicity with pure Python, uncompromising performance with low memory footprint, and true agnosticism allowing any model to be the foundation for AI agents.
Optimization and Performance
With the new upgrade, Agno now outperforms other frameworks, being 5,000 times faster and using significantly less memory. The focus is on reducing memory usage while maintaining high performance.
Getting Started with Agno
Guidance on how to start with Agno, including accessing the repository, examples, and building agents using built-in memory tools and storage capabilities.
Setting Up Agno
Instructions on setting up Agno locally, including installing necessary tools like Git, cloning the repository, and utilizing the Agno documentation for building different types of agents.
FAQ
Q: What is Agno?
A: Agno, previously known as fi Datawell, is an open-source framework for building AI agents with high-performance memory knowledge.
Q: What are the core principles on which Agno is built?
A: Agno is built on three core principles: simplicity with pure Python, uncompromising performance with low memory footprint, and true agnosticism allowing any model to be the foundation for AI agents.
Q: How does the new upgrade of Agno compare to other frameworks?
A: With the new upgrade, Agno now outperforms other frameworks, being 5,000 times faster and using significantly less memory.
Q: What is the focus of the upgrade on Agno?
A: The focus of the upgrade is on reducing memory usage while maintaining high performance.
Q: What guidance is provided for starting with Agno?
A: Guidance on how to start with Agno includes accessing the repository, examples, and building agents using built-in memory tools and storage capabilities.
Q: What are the instructions for setting up Agno locally?
A: Instructions for setting up Agno locally include installing necessary tools like Git, cloning the repository, and utilizing the Agno documentation for building different types of agents.
Get your own AI Agent Today
Thousands of businesses worldwide are using Chaindesk Generative
AI platform.
Don't get left behind - start building your
own custom AI chatbot now!