Agno

Founded by Ashpreet Bedi in 2024

Build and run secure multi-agent AI systems inside your own cloud

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Agno to build, deploy, and manage AI agent systems using an open-source Python framework paired with a self-hosted operating layer called AgentOS. It gives you 50+ API endpoints, session and memory management, role-based access control, audit logs, human-in-the-loop approval flows, and a web console to monitor agents. Agents run in your own cloud (AWS, GCP, Railway), so your data never leaves your environment. It supports 30+ model providers and works with frameworks like LangGraph and Claude Agent SDK.

What Agno does

Create AI agents with memory and persistent session state using PythonSet up role-based access control so different users see only their agent dataConnect agents to 30+ LLM providers without changing core agent logicStream agent responses to a frontend via SSE endpointsConfigure human approval steps before agents execute sensitive actionsExport agent traces to existing observability toolsManage and label user memories through a built-in memory manager UIDeploy AgentOS to AWS or GCP using standard container deployment patternsRuns entirely in your own cloud with no data leaving your environment50+ built-in API endpoints for agents, sessions, memory, and traces available immediatelySupports 30+ model providers behind a single unified API surfaceHuman-in-the-loop approval flows and admin guardrails built into the runtimeJWT-based role-based access control with per-user and per-request isolationWeb console to monitor live agent sessions, edit memories, and manage knowledgeWorks with external agent frameworks like LangGraph, DSPy, and Claude Agent SDKStateless horizontally scalable architecture that fits existing cloud deployment patterns