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Builder infrastructure

Agno

Build, run, and manage agent platforms.

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Agno is a developer SDK and runtime for building agent platforms: the SDK builds agents, teams, and workflows with memory, knowledge, guardrails, and 100+ integrations; AgentOS runs them in production as a stateless FastAPI backend deployed to the developer's own cloud; a Control Plane UI monitors and manages the running system.

Vendor's own claim

What Agno is

Vendor's own claim

Agno is a code-first framework for teams building their own agent platforms rather than a hosted, no-code agent product. Developers use the Agno SDK to define agents/teams/workflows, deploy them via AgentOS (a FastAPI application they run in their own cloud environment of choice), and monitor the result through Agno's Control Plane UI.

What it can do

Vendor's own claim
  • SDK for building agents, teams, and workflows with memory, knowledge, and guardrails
  • 100+ integrations, including third-party memory providers like Memori
  • AgentOS: a stateless, secure FastAPI backend for running agent platforms in production
  • Control Plane UI for monitoring and managing running agents
  • Approval workflows: human-in-the-loop approve/reject/audit of tool executions requiring authorization
  • Deployment guidance for Railway, Docker, AWS, Fly, GCP, Kubernetes, Azure, Render, and Modal

Who it is for

Our read

Engineering teams building custom, production-grade agent platforms who want a code-first SDK plus a self-hosted runtime (AgentOS) rather than a fully managed, no-code agent builder.

When to choose something else

Our read

Agno requires deploying and operating your own FastAPI backend (AgentOS) on one of the listed cloud providers (Railway, Docker, AWS, Fly, GCP, Kubernetes, Azure, Render, Modal); no hosted/managed SaaS option or pricing page was found in the retrieved pages. Non-technical teams or teams wanting a no-code, fully hosted agent builder with vendor-run infrastructure are working against how the product is documented, not with it.

Implementation considerations

Our read

Setup assessment: custom

Getting started involves choosing a cloud provider, deploying AgentOS as a FastAPI application, and wiring up the SDK for agents/teams/workflows - the docs themselves suggest handing a coding agent the setup task rather than a guided in-browser flow.

Prerequisites

  • A supported cloud environment (Railway, Docker, AWS, Fly, GCP, Kubernetes, Azure, Render, or Modal)
  • For memory integrations like Memori: additional Python packages (memori, sqlalchemy, python-dotenv) and a model provider API key

Verify before you adopt it

  • Published pricing was not available in the reviewed source set; confirm current commercial terms with the vendor.