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Agno
Agent AI

Agno

High-performance multimodal AI agent framework with native memory and speed

4.9
freemiumintermediateFeaturedTrendingVerifiedSince 2025-10
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About Agno

Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory, knowledge retrieval, and multimodal reasoning capabilities. It is designed to replace bloated agent frameworks with a pure, pythonic developer experience. Agno agents operate up to 10x faster than legacy orchestration libraries by eliminating unnecessary abstractions. With built-in support for vector databases (PgVector, Qdrant, Pinecone), structured output schemas, and agent-to-agent delegating protocols, developers can build complex autonomous assistants with under 20 lines of clean code.

The framework includes first-class multimodal tools allowing agents to analyze images, process video streams, execute code in secure sandboxes, and query SQL databases. Agno agents natively persist session state and user memory in PostgreSQL, making stateful conversations effortless across web sessions. Agno is fully open-source with extensive documentation, offering enterprise-ready middleware for authentication, telemetry, and rate limiting.

How It Works
1

Install the framework via pip: `pip install agno`.

2

Define an Agent with your preferred LLM (OpenAI, Anthropic, Groq, Ollama) and tools.

3

Attach PgVector or local SQLite storage to give your agent long-term memory and knowledge RAG.

4

Run the agent interactively in the CLI or serve it as a FastAPI web application with one line of code.

5

Deploy to the Agno Cloud dashboard for continuous telemetry, tracing, and multi-user sessions.

Platforms
WebAPIlinuxmacoswindows
Best For
Developersai-engineersdata-scientistsstartups
Categories
Screenshot
Agno screenshot

Capabilities & Features

Free Tier
API Access
Open Source
Works Offline
Customizable
Multimodal
Voice Input
Image Input
Image Output
Video Input
Audio Output
File Upload
Web Search
Code Execution
Plugins
Memory
Collaboration
Self-Hostable
No Signup RequiredVideo OutputWhite LabelBrowser Extension

Common Use Cases

1

autonomous-agents

2

multi-agent-teams

3

multimodal-ai

4

rag-chatbots

5

automated-coding

Frequently Asked Questions

What is Agno and what happened to Phidata?

Agno is the next-generation evolution of Phidata, rebuilt from the ground up for extreme speed, multimodal agent workflows, and native enterprise memory persistence.

Is Agno free and open source?

Yes, Agno is 100% open source and free to use in commercial and personal applications.

Which LLMs does Agno support?

Agno supports all major foundation model providers including OpenAI, Anthropic, Gemini, Groq, Mistral, and local models via Ollama.

Pricing Modelfreemium

Free Plan

100% free open-source framework with unlimited local agent execution

Paid Plan

Agno Cloud from $29/mo for managed agent deployment, monitoring, and team workspaces

Get Started

Direct link · Verified & reader-supported

Pros & Cons

Up to 10x faster execution speed compared to legacy agent libraries

Clean, pythonic syntax with zero unnecessary framework bloat

Native multimodal support for images, video, and audio reasoning

Built-in PostgreSQL memory persistence and vector RAG integration

Completely open source with active developer community

Primary ecosystem focused on Python (TypeScript SDK in early development)

Migration required for legacy Phidata v1 codebases

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