What is the difference between the Agno framework and AgentOS?

The Agno framework is an open-source Python library for building agents, while AgentOS is a runtime that manages production plumbing such as REST endpoints, authentication, and monitoring. AgentOS runs inside your own VPC rather than as a hosted SaaS.

Does Agno support multiple LLM providers?

Yes, the framework supports over 30 model providers. This allows you to swap between models like Claude, GPT, Gemini, or open-weights without rewriting your agent logic.

Is Agno compatible with other agent frameworks?

Agno interoperates with LangGraph, DSPy, and the Claude Agent SDK. This allows teams to adopt it as a runtime layer without abandoning existing agent code.

What are the pricing options for Agno?

The framework is free and open source. AgentOS offers a Pro plan at $150 per month and an Enterprise plan with pricing available on the site. A free tier is also listed.

Who should avoid using Agno?

It is not recommended for TypeScript shops, hobbyists experimenting with single chatbots, or teams requiring a fully hosted SaaS platform with zero operational responsibility.

Agno (formerly Phidata)

Open-source Python framework for building multi-agent systems, paired with a production runtime that ships in your own cloud.

Freemium· Free: Free · Pro: $150/mo · Enterprise: ?AgentsMulti-model7.2 / 10

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In short

Agno provides a Python framework for building AI agents and AgentOS, a production runtime that handles infrastructure like auth and audit logs. It is best for engineering teams shipping production agents who want to run their stack inside their own VPC.

Best for

Pick Agno if you're a Python engineering team shipping production agents and want a batteries-included runtime you can run inside your own VPC.

Skip if

Skip it if you're a TypeScript shop, a hobbyist experimenting with a single chatbot, or you need a fully hosted SaaS agent platform with zero ops.

Agno (the rebrand of Phidata) is a Python framework for building AI agents plus AgentOS, a runtime that handles the boring production plumbing: 50+ REST endpoints for runs/sessions/memory/knowledge, auth, RBAC, audit logs, approval workflows, and a web console for monitoring. The framework has crossed 40K GitHub stars and supports 30+ model providers, so you can swap Claude, GPT, Gemini, or open-weights without rewriting agent logic.

It's aimed at engineering teams who are tired of hand-rolling FastAPI wrappers, Postgres session stores, and vector DB glue every time they ship an agent. AgentOS is private-by-default: it runs inside your VPC rather than as a hosted SaaS, which matters if you're pushing sensitive data through tool calls. The framework is free and open source; AgentOS pricing is on the site but geared toward teams, not hobbyists.

Agno interoperates with LangGraph, DSPy, and the Claude Agent SDK, so it's less of a lock-in play than a runtime layer you can adopt without abandoning existing agent code. The pitch versus LangChain/LangGraph is speed of setup and a saner mental model — users repeatedly cite "easier to use" in testimonials.

Editor's take

Agno is one of the more credible LangChain alternatives — the framework is genuinely pleasant, and AgentOS solves the real problem (production infra) rather than adding another abstraction layer. The rebrand from Phidata is recent, so expect some stale links, but the project itself is very much alive and well-funded.

— The AI Tool Bible editorial team

Pros

✅ Open-source framework with 40K+ GitHub stars and active community
✅ Supports 30+ model providers, so no lock-in to one LLM vendor
✅ AgentOS runs in your own cloud — good for regulated data
✅ Interops with LangGraph, DSPy, and Claude Agent SDK
✅ Ships auth, RBAC, audit logs, and approval workflows out of the box

Cons

⚠️ AgentOS is proprietary despite the open-source framework
⚠️ Python-only — no first-class TypeScript/Node story
⚠️ Younger project than LangChain; smaller docs surface area
⚠️ Self-hosting AgentOS still means you own the infra

Frequently asked

What is the difference between the Agno framework and AgentOS?: The Agno framework is an open-source Python library for building agents, while AgentOS is a runtime that manages production plumbing such as REST endpoints, authentication, and monitoring. AgentOS runs inside your own VPC rather than as a hosted SaaS.
Does Agno support multiple LLM providers?: Yes, the framework supports over 30 model providers. This allows you to swap between models like Claude, GPT, Gemini, or open-weights without rewriting your agent logic.
Is Agno compatible with other agent frameworks?: Agno interoperates with LangGraph, DSPy, and the Claude Agent SDK. This allows teams to adopt it as a runtime layer without abandoning existing agent code.
What are the pricing options for Agno?: The framework is free and open source. AgentOS offers a Pro plan at $150 per month and an Enterprise plan with pricing available on the site. A free tier is also listed.
Who should avoid using Agno?: It is not recommended for TypeScript shops, hobbyists experimenting with single chatbots, or teams requiring a fully hosted SaaS platform with zero operational responsibility.