Agno
Build lightning-fast, multi-modal Reasoning Agents.
2025-04-08

Agno is a lightweight library for building Reasoning Agents with memory, knowledge, tools and native multi-modal support.
Agno is a lightweight, high-performance library designed for building reasoning agents with multi-modal capabilities. It enables the creation of autonomous agents equipped with memory, domain knowledge, and tool integration, allowing them to dynamically adapt their approach based on context. Key features include lightning-fast agent instantiation (10,000x faster than alternatives) and low memory usage (50x more efficient). Agno supports text, image, audio, and video natively, and its model-agnostic design ensures compatibility with any provider. Developers can build single agents, multi-agent teams, or complex workflows with structured outputs and real-time monitoring. The library excels in performance-critical applications, making it ideal for scalable AI solutions. Examples include financial analysis, web research, and knowledge retrieval, all while maintaining flexibility and speed.
Open Source
Artificial Intelligence
GitHub
Development