Agno (formerly Phidata)

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

Freemium· Framework free/OSS; AgentOS paid (see pricing page)AgentsMulti-model

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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