
Agno
Open-source Python framework and runtime for building and deploying AI agents.
About Agno
Agno is an open-source Python framework for building AI agents, paired with AgentOS, a runtime for deploying and managing multi-agent systems in production. Rather than relying on graphs or chains, it takes a plain-Python approach: developers assemble agents from modules for memory, knowledge retrieval, and tool use, then swap in different language models, databases, or vector stores without rewriting application code. The framework is aimed at engineering teams that want to own their agent infrastructure instead of depending on a third-party hosted service. AgentOS adds over 50 API endpoints covering runs, sessions, memory, knowledge, and traces, along with a web console for monitoring agents in production. It supports more than 30 model providers and works alongside other agent frameworks such as LangGraph and the Claude SDK rather than requiring a full rewrite. Production features include stateless execution, per-session isolation, JWT-based role-based access control, approval flows, audit logs, and guardrails for governance. Agno can be deployed to any cloud environment, including airgapped setups, and connects to messaging channels like Slack, Telegram, and WhatsApp, as well as MCP servers. It offers both a free open-source framework and a paid AgentOS runtime. One limitation is that much of the governance and monitoring tooling sits behind the commercial AgentOS product rather than the open-source core.
At a glance
- Platforms
- Web, API
- API
- Available
- Integrations
- Slack, Telegram, WhatsApp
- Last verified
- July 2026
Who It's For
- •AI developers and engineers.
- •Research institutions working on multi-agent systems.
- •Startups and companies building AI products.
- •Educational institutions and students learning AI development.
- •Organizations seeking scalable, customizable AI agents.
How It Works
- 1Supports any language model from any provider, enabling model-agnostic development.
- 2Build high-performance agents with built-in memory, knowledge, and reasoning.
- 3Deploy agents to cloud or your own infrastructure for scalability.
- 4Monitor and optimize agent performance using integrated tools.
- 5Supports integration with multiple databases and vector stores for knowledge management.
How to Use Agno
- 1Sign up and access the Agno platform or download the open-source framework.
- 2Create your agents using the provided tools and templates.
- 3Configure models, knowledge bases, and external tool integrations.
- 4Deploy your agents on cloud or private infrastructure.
- 5Use the monitoring dashboard to track performance and make improvements.
Key Features
- •Multi-agent orchestration
- •Memory and knowledge retrieval
- •50+ API endpoints
- •Web console for monitoring agents
- •Support for 30+ model providers
- •Role-based access control
- •Audit logs and guardrails
Use Cases
- •Building production multi-agent AI systems
- •Deploying agents with memory and knowledge retrieval
- •Monitoring and governing agent behavior in enterprises
Pros & Cons
Advantages
- •Supports any model and infrastructure, ensuring flexibility.
- •Open source and free for startups, students, and educators.
- •Designed for performance, scale, and future-proofing.
- •Rich features for building, deploying, and monitoring agents.
Disadvantages
- •May require technical expertise to maximize use.
- •Complex setup for beginners without prior AI experience.
- •Limited visual or low-code interface based on available info.
Alternatives
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Frequently Asked Questions
What is Agno?
Agno is an open-source Python framework for building AI agents, paired with AgentOS, a runtime for deploying and managing multi-agent systems in production. Rather than relying on graphs or chains, it takes a plain-Python approach: developers assemble agents from modules for memory, knowledge retrieval, and tool use, then swap in different language models, databases, or vector stores without rewriting application code.
How much does Agno cost?
Agno uses custom pricing — contact the vendor for a quote.
Is Agno free?
Agno is a paid tool and does not offer a free plan.
What are the best Agno alternatives?
Popular Agno alternatives include LangChain, LangGraph, CrewAI.
What is Agno used for?
Agno is commonly used for Building production multi-agent AI systems, Deploying agents with memory and knowledge retrieval, Monitoring and governing agent behavior in enterprises.
Does Agno have an API?
Yes, Agno offers an API for developers.
What platforms does Agno support?
Agno is available on Web, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.