Agno is an agent platform that runs in your own cloud and covers the full lifecycle of building, serving and managing AI agents. The Agno SDK offers three patterns, agents, teams and workflows, with more than 100 toolkits plus memory, knowledge, guardrails and human-in-the-loop steps. AgentOS is the runtime that turns agents into an API with durable execution, request isolation and audit logs, and the control plane shows traces, sessions, evaluations and usage metrics. The Free plan costs $0 with unlimited usage, and Pro is $150 per month for a live AgentOS connection.
Its audience is software engineers and technical teams that want to ship agents without stitching together their own infrastructure: startups building product copilots, enterprises running support or research agents, and platform groups needing governance, role-based access and approvals. Teams can use the Agno SDK or another framework such as LangGraph, choose any model provider, and keep data inside their own environment. Enterprise buyers get end-user audit logs, custom RBAC and a support SLA.
Example deployments shown include a support agent that answers tickets from product docs and order history, a sales agent that finds prospects and drafts outreach, a deep research team that fans questions out to analyst agents, and an invoice workflow with an approval gate. Agents can be served inside a product over REST, exposed through MCP to AI apps, or connected to Slack, WhatsApp and Discord. Setup can begin with a single prompt handed to a coding agent, and a live demo environment lets visitors explore before committing. Deployment targets include Docker, AWS, Google Cloud, Railway and Fly.io.
