Agno
High-performance multimodal AI agent framework with native memory and speed
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.
Install the framework via pip: `pip install agno`.
Define an Agent with your preferred LLM (OpenAI, Anthropic, Groq, Ollama) and tools.
Attach PgVector or local SQLite storage to give your agent long-term memory and knowledge RAG.
Run the agent interactively in the CLI or serve it as a FastAPI web application with one line of code.
Deploy to the Agno Cloud dashboard for continuous telemetry, tracing, and multi-user sessions.
Capabilities & Features
Common Use Cases
autonomous-agents
multi-agent-teams
multimodal-ai
rag-chatbots
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.
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
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
Alternatives
View allLangChain
Build context-aware reasoning applications
The most popular framework for developing applications powered by large language models, including agents and RAG.
AutoGen
Microsoft multi-agent framework
AutoGen is a framework developed by Microsoft for building multi-agent conversational systems. It enables multiple agents to collaborate and solve tasks through conversation.
Browser Use
Open-source web browsing AI agent for Python & LangChain
Browser Use is an open-source Python library that connects LLMs to browser automation pipelines, enabling AI agents to navigate websites, interact with dynamic DOM elements, bypass multi-step forms, and extract structured data autonomously. Built on top of Playwright and LangChain, it provides vision-augmented element detection and deterministic state tracking. Unlike traditional headless scrapers, Browser Use feeds DOM tree snapshots and viewport screenshots to multimodal models like Claude 3.7 Sonnet or GPT-4o, allowing agents to understand complex UI layouts, handle popups, solve interactive workflows, and execute sequential tasks in plain English.
CopilotKit
Open-source copilot & in-app AI agent framework for React
CopilotKit is an open-source framework designed to help frontend developers build and embed contextual AI copilots and autonomous agents directly inside React and Next.js applications. Instead of building isolated chatbot sidebars that have no awareness of your application's state, CopilotKit connects the LLM directly to your frontend components, state stores, and backend APIs. With CopilotKit, applications gain two-way interaction with AI: users can ask questions in natural language, and the AI agent can read current component state, trigger actions across the UI (such as updating tables, filtering views, or submitting forms), and stream live generative UI widgets directly into the workspace. It natively supports popular LLMs, LangChain, and LangGraph multi-agent backends.
Anthropic Console
Enterprise-grade AI for developers
The developer gateway to Claude models, offering advanced controls like prompt caching and Artifacts rendering via API.
Open Interpreter
Open-source natural language interface for local computer control and code execution
Open Interpreter is an open-source framework that allows Large Language Models to execute Python, JavaScript, Bash, and AppleScript code locally on your computer. Through a simple terminal interface or desktop GUI, Open Interpreter grants AI models full computer agency to analyze local datasets, control browser windows, edit video files, and automate system tasks with full user permissions. Unlike sandboxed cloud code interpreters, Open Interpreter runs directly on your machine with unrestricted access to your local files, installed packages, and terminal commands.
Compare Agno with Alternatives
Side-by-side feature, pricing, and pros & cons breakdowns
Featured in In-Depth Guides & Comparisons
Read our hands-on technical evaluations and workflow guides mentioning Agno

