Agno

Agno is a high-performance, open-source framework designed for building sophisticated AI agents with memory, knowledge, tools, and reasoning capabilities. Originally known as Phidata, Agno has been re-engineered from the ground up to create a lightweight yet powerful platform for developing model-agnostic agentic systems that can be deployed at scale.

The framework stands out for its exceptional performance metrics, instantiating agents in approximately 2 microseconds (claimed to be 10,000 times faster than alternatives like LangGraph) while using minimal memory resources. This focus on efficiency makes Agno particularly well-suited for production environments where resource utilization and response times are critical factors.

A key philosophy behind Agno is simplicity in implementation. The framework uses pure Python without complex graphs, chains, or convoluted patterns, making it accessible to developers with varying levels of expertise. Despite this simplicity, Agno supports sophisticated agent capabilities including reasoning as a first-class citizen, with multiple approaches like Reasoning Models, ReasoningTools, and custom Chain-of-Thought + Tool-use methodologies.

Agno's model-agnostic design is central to its value proposition, providing a unified interface to over 23 model providers from commercial options like OpenAI and Anthropic to open-source models via Ollama, Together, and Anyscale. This flexibility prevents vendor lock-in and allows developers to choose the most appropriate models for their specific use cases.

The framework supports natively multi-modal agents that can process and generate text, images, audio, and video. It also features an advanced multi-agent architecture with three operational modes: route, collaborate, and coordinate, enabling complex agent interactions and workflows.

For knowledge management, Agno integrates with more than 20 vector databases, allowing agents to leverage domain-specific information efficiently. The platform also provides built-in support for long-term memory and session storage, structured outputs, and comprehensive monitoring capabilities through its web interface.

Beyond the core framework, Agno offers a complete platform for building, shipping, and monitoring agentic systems, including workspaces that provide the necessary infrastructure components like databases, vector storage, and APIs to take projects from development to production rapidly.

The company offers both open-source and commercial versions of the platform, with free access for students, educators, and early-stage startups, making advanced AI agent development accessible to a broad range of users while providing enhanced features and support for enterprise customers.