Agno
High-performance framework for building and running agents
Agno is profiled here as a Agentic Capabilities tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Agno, formerly Phidata and created by Ashpreet Bedi, is an open-source Python framework for building multi-agent systems and running them in production. It centers on a lightweight Agent class with memory, knowledge, and tools, and pairs it with AgentOS, a FastAPI-based runtime that handles sessions, storage, and monitoring. Agno is built for fast agent creation and low memory overhead so a service can spin up many concurrent agents, and it stays model-agnostic across providers under the MPL-2.0 license.
Key Capabilities:
A lightweight Agent class with memory, knowledge, and tool use
AgentOS, a FastAPI runtime for sessions, storage, and monitoring
Teams and workflows for coordinating multiple agents on a task
Multimodal support across text, image, and audio inputs
Agentic retrieval that triggers knowledge lookups from agent reasoning
Model-agnostic integration across major LLM providers
Alternative tools
- Composio
Tool integration and managed auth layer for AI agents
- smolagents
Lightweight agent library built around code-writing agents
- Browser Use
Connect AI agents to the browser for web tasks
- Letta
Build stateful agents with long-term memory
- OpenAI Agents SDK
Lightweight framework for building multi-agent workflows
- Microsoft Agent Framework
Microsoft's unified SDK for agents and multi-agent workflows