Agno is an AI agent framework and high-performance runtime for multi-agent systems that runs in your cloud. It enables developers to build, run, and manage secure multi-agent systems with built-in security and control.
Agno is an all-in-one agent platform designed for building, running, and managing secure multi-agent systems within your own cloud environment. It offers an open-source Python framework for creating self-learning agents with memory, knowledge, and guardrails, compatible with any model and database. The platform includes AgentOS, a high-performance runtime that turns agents into production services, allowing for deployment anywhere. Agno also features a built-in control plane for chat, tracing, and monitoring, ensuring data privacy by keeping all information within your system. With robust security features like JWT, RBAC, and request-level isolation, Agno prioritizes privacy and security by design, making it ideal for teams shipping production-ready AI solutions.
Best used for
Ideal for developers and data scientists who need to build, deploy, and manage secure multi-agent systems, and monitor agent performance. Especially valuable for teams requiring a private, scalable, and production-ready AI agent infrastructure that runs within their own cloud.
Common actions
build AI agents
deploy multi-agent systems
manage AI agent performance
secure AI applications
monitor agent interactions
AI workflow automationAI agent developmentopensource ai agents
Not publicly disclosed. Check phidata.com for current pricing.
FAQs
What is AgentOS and how does it differ from the Agent Framework?
The Agent Framework is an open-source Python framework for building individual AI agents with memory, knowledge, and tools. AgentOS is the high-performance runtime and operating system that turns these agents, teams of agents, and workflows into scalable, production-ready infrastructure that runs in your cloud.
Does Agno keep my data private?
Yes, Agno is designed to be private by default. Your AgentOS runs entirely within your cloud environment, meaning all usage data, logs, metrics, traces, memory, knowledge, sessions, and user data remain under your control and do not leave your system.
What are the performance benefits of using Agno?
Agno boasts significantly faster agent instantiation and lower memory footprint compared to other frameworks. For example, it's up to 529 times faster than Langgraph for instantiation and has a 24 times lower memory footprint, leading to more efficient and scalable multi-agent systems.
What is included in Agno's free plan?
The Free plan allows you to build multi-agent systems and run them using the AgentOS Control Plane locally. It includes features like chatting with agents, session monitoring, knowledge/memory management, system evaluations, and access to pre-built codebases and community support.
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