An open-source platform to build, ship and monitor agentic systems. Choose any Model. ‍ Turn any LLM into an Agent. Add knowledge. ‍ Provide domain-specific information to your Agents. Built-in memory. Enable long-term personalized, conversations. Add tools. Enable Agents to integrate and interact with external systems.

Agno is a lightweight framework for building Agents with memory, knowledge, tools and reasoning. Use Agno to build Reasoning Agents, Multimodal Agents, Teams of Agents and Agentic Workflows. Here’s an Agent that writes a financial report by reasoning through each step:

We're excited to introduce Agno - the fastest framework for building multi-modal Agents. Why Agno? Agno (ἁγνὸ) means pure in Greek, reflecting our design principles: - Simplicity: No graphs, chains, or convoluted patterns – just pure Python. - Uncompromising Performance: Blazing-fast Agents with a minimal memory footprint.

Agno is simple, fast and model-agnostic. Here are the key features: Lightning Fast: Agents instantiate 10,000x faster than LangGraph and use 50x less memory (see performance). Reasoning Agents: Build best in class reasoning agents using Reasoning Models, Reasoning Tools or our custom CoT+Tool-use approach.

Mar 14, 2025 · In this guide, we’ll turbocharge your setup with uv, then craft an Agno agent that evolves from a chatty newbie to a memory-savvy, Retrieval-Augmented Generation (RAG) maestro, powered by tools like LanceDB and DuckDuckGo.

Give LLMs superpowers like memory, knowledge, tools and reasoning. A modern chat interface for AI agents built with Next.js, Tailwind CSS, and TypeScript. Loading… Add memory, knowledge and tools to LLMs. Agno has 37 repositories available. Follow their code on GitHub.

Build real-world applications with Agno. Explore Agent concepts with detailed examples. Explore different models with Agno.

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Agno is a lightweight framework for building multi-modal Agents.

Apr 1, 2025 · Earlier this year, Phidata rebranded to Agno - the fastest library for building Multimodal Agents. Agno is now battle-tested, quietly handling millions of requests across hundreds of agentic systems in production.