agno-agi/agno

Agno is a framework for turning AI agents into production-grade services that real users can interact with. The problem it solves is the gap between building a prototype AI agent that works in a script or notebook and deploying that agent as a reliable service with authentication, session management, monitoring, and access controls. Most AI agent frameworks focus on the agent logic itself but leave the infrastructure question unanswered. The way Agno works is through three layers. The SDK provides the building blocks to define agents with memory, knowledge bases, tool integrations, and guardrails. The Runtime wraps any agent, whether built with the Agno SDK, LangGraph, DSPy, or other frameworks, into a FastAPI backend that handles streaming responses, user sessions, cron scheduling, and human-in-the-loop approval flows. A web-based control plane called AgentOS lets you chat with your agents, inspect traces, view run history, and manage sessions from a browser interface. The key concept is that the same wrapping pattern works across multiple frameworks: you define your agent in whatever framework you prefer, hand it to Agno's runtime, and get a production API with over 50 endpoints, JWT authentication, multi-tenant isolation, and OpenTelemetry tracing. You would use Agno if you are building an AI agent application that needs to serve real users rather than just running in a development script, and you want the infrastructure concerns handled for you instead of building them from scratch. The tech stack is Python with FastAPI as the serving layer, SQLite or other databases for session and trace storage, and Docker or any container host for deployment.