Agno is a lightweight library for building Reasoning Agents with memory, knowledge, tools and native multi-modal support.
Features
Lightning Fast
Agents instantiate up to 10,000 times faster and use significantly less memory than comparable tools, making it highly efficient even at scale.
Model Agnostic
It allows the use of any AI model from any provider, ensuring there is no lock-in to specific technologies.
Multi-Agent Teams
Capable of building teams of agents with industry-leading multi-agent architecture modes like 'route', 'collaborate', and 'coordinate'.
Natively Multi-Modal
Supports text, image, audio, and video mediums, providing versatility in handling and processing varied data sets.
Structured Outputs
Provides first-class support for structured outputs, enhancing data organization and retrieval.
Long-term Memory
Built-in support for long-term memory enables agents to store and recall information for complex problem-solving.