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Agno

Agno combines an open-source Python agent framework with AgentOS for deploying, governing, monitoring, and scaling multi-agent systems in a team's own cloud.

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Agno AgentOS architecture for operating multi-agent systems in a private cloud

Product overview

What is Agno?

Agno is a platform for engineering teams that build and operate AI agents. It combines an open-source Python agent framework with AgentOS, a production runtime and control plane for multi-agent systems. Teams can run agents built with Agno, Claude Agent SDK, LangGraph, DSPy, or their own framework while keeping the runtime, usage data, logs, traces, memory, knowledge, sessions, and user data in their own cloud.

AgentOS supplies the infrastructure around agent code: APIs and an MCP server, durable execution, persistence, streaming, background work, resume support, authentication, role-based access control, user and request isolation, approval flows, audit logs, monitoring, and a web console. It presents more than 50 endpoints and supports over 30 model providers through a common operating surface.

The control plane lets engineers chat with agents, inspect traces and sessions, manage memory and knowledge, and evaluate accuracy, reliability, and performance. AgentOS can run on AWS, GCP, Railway, or in an air-gapped environment and is designed as a stateless application that scales horizontally.

Core Features

  • Agent framework: Provides an open-source Python framework for creating agents, teams, tools, and workflows.
  • AgentOS runtime: Adds durable execution, persistence, streaming, background tasks, and resume behavior.
  • APIs and MCP: Exposes runs, sessions, memory, knowledge, and traces through more than 50 endpoints.
  • Governance controls: Includes guardrails, human approvals, JWT-based RBAC, audit logs, and post-execution hooks.
  • Operational visibility: Offers tracing, session monitoring, memory and knowledge management, and agent evaluations.
  • Bring-your-own-cloud deployment: Runs in AWS, GCP, Railway, or air-gapped infrastructure while keeping operational data in the customer's environment.

Use Cases

  • Private agent platforms: Companies deploy an internal multi-agent runtime without sending operational data to an external control plane.
  • Productionizing agent prototypes: Engineering teams add authentication, persistence, monitoring, approvals, and scaling to existing agents.
  • Framework-independent operations: Teams manage agents built with Agno or other supported frameworks through one runtime.
  • Agent evaluation and debugging: Operators inspect traces, sessions, memory, knowledge, accuracy, reliability, and performance.

Frequently Asked Questions

What are Agno's main products?

Agno offers an open-source Python Agent Framework and AgentOS, a production runtime and control plane.

Must agents be built with the Agno framework?

No. The website says AgentOS can run agents made with Agno, Claude Agent SDK, LangGraph, DSPy, or homegrown systems.

Where can AgentOS run?

The website lists AWS, GCP, Railway, and completely air-gapped deployments.

Does data stay in the customer's cloud?

Yes. Agno states that usage, logs, metrics, traces, memory, knowledge, sessions, and user data remain in the customer's environment.

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