Deploying Agno Agents to Production as a REST API with HiveGate

Running an Agno agent in a script takes only a few lines of Python, but serving it to thousands of users requires an HTTP endpoint, per-user conversations, persistent history, API keys, and containerized deployment. The article presents HiveGate, an MIT-licensed FastAPI service built on Agno, as a way to handle these needs. It contrasts HiveGate with Agno's own AgentOS, which suits agents defined in code, while HiveGate targets agents acting in users' Google or Microsoft accounts and agents managed as data via an API. Agents are created with a POST request, with the template stored as a versioned prompt in Postgres that can be updated without redeploying. Chat requests require user and session identifiers, which tie into Agno's Postgres-backed history and per-user memory.