How To Use NVIDIA NOOA: Python AI Agents Guide

Wondering how to use NVIDIA NOOA? The quick version is just below: NVIDIA’s new open-source framework turns an entire AI agent into a single Python class, and you can have your first one running minutes after pip install nooa. Here’s my full walkthrough, based on the official repo.

What NVIDIA NOOA actually is

NOOA — NVIDIA Object-Oriented Agents — is NVIDIA Labs’ answer to the mess that agent frameworks have become. Instead of chaining YAML, prompt files and callback spaghetti, NOOA says: an agent is a Python class. Per the official GitHub README (NVIDIA-NeMo/labs-OO-Agents, checked 30 August 2026), it’s “a model-agnostic Python framework designed to support reliable AI agent development” where fields are state, methods are capabilities, docstrings are prompts, and type annotations are contracts.

It ships under Apache 2.0, and NVIDIA has published it alongside a research paper (arXiv 2607.20709), notebook tutorials and a framework tour in the repo. The project is genuinely open — licence file and third-party notices included — and it’s part of NVIDIA’s push to share open agent tooling rather than lock it to their own stack.

How to use NVIDIA NOOA: install and first agent

Installation is one line:

pip install nooa
# optional extras:
pip install "nooa[cli,memory]"

Extras also exist as standalone packages — nooa-cli, nooa-acp, nooa-memory and nooa-bench — so you only pull what you use. Then you define an agent the NOOA way. This structure is straight from the README’s pattern:

class SupportAgent(Agent):
    """You are a careful support agent."""   # class docstring = system prompt
    order_db: OrderDB                        # typed field = state

    def is_refund_eligible(self, order: Order) -> bool:
        return order.delivered               # real body = deterministic Python

    async def triage(self, message: str, order: Order) -> Ticket:
        """Classify the message and open the right ticket."""
        ...                                  # ... body = the LLM implements this

That last method is the trick. Because its body is literally ..., NOOA hands it to an LLM-driven loop at runtime: the docstring is the prompt, the signature is the contract, and the runtime enforces that whatever comes back actually is a Ticket. Everything else is ordinary, testable Python. That split — deterministic where you can, agentic where you must — is what makes NOOA agents debuggable in a way most frameworks aren’t.

How to use NVIDIA NOOA with Claude, GPT or Ollama

NOOA is model-agnostic by design. It routes through LiteLLM-supported backends via its registry API, which in practice means you can point the same agent class at Claude, GPT, a local model served by Ollama, or your own vLLM instance — without touching the agent’s logic. That’s the right architecture: write the class once, swap the brain underneath as models improve or budgets change.

My recommended pattern: develop against a cheap local Ollama model so the loop costs nothing while you iterate, then switch the registry to a frontier model for production runs where output quality pays. Because the type contracts don’t change, the swap is one configuration line, not a rewrite.

How NOOA stacks up against other agent frameworks

Framework	Shape	Licence	Best for
NVIDIA NOOA	One Python class per agent, typed contracts	Apache 2.0	Python teams who want testable agents
Apodex FrontierAgent	Config-driven open framework	Open source	Multi-agent orchestration
CLI harnesses (OpenClaw-style)	Terminal agent + tools	Open source	Hands-on coding sessions

NVIDIA also publishes benchmark results for NOOA-built agents on suites like SWE-bench Verified and Terminal-Bench 2.0 in its paper and README.

Worth knowing before you commit: NOOA is young. The repo’s tags are still v0.0.x, so expect breaking changes between releases and pin your version in production. If you want a second opinion on your agent stack before you build, book a free SEO strategy session — or compare notes with the 3,700+ builders inside the AI Profit Boardroom.

The bottom line on how to use NVIDIA NOOA

NOOA is the most Pythonic take on agents I’ve seen: pip install nooa, one class, typed contracts, any LiteLLM backend. It’s free, Apache 2.0, and the deterministic-versus-agentic method split solves the debuggability problem that kills most agent projects. It’s also early-stage software — pin versions, keep humans reviewing anything that touches production. If you write Python and you’re building agents for real workflows, this one deserves an afternoon of your time.

FAQ: how to use NVIDIA NOOA

What is NVIDIA NOOA in one sentence?

NOOA (NVIDIA Object-Oriented Agents) is an open-source, model-agnostic Python framework from NVIDIA Labs where an entire AI agent is one Python class — fields are state, methods are capabilities, docstrings are prompts, and type annotations are enforced contracts.

How do I install NOOA?

Run pip install nooa. Optional extras come via pip install nooa[cli,memory], or as separate packages: nooa-cli, nooa-acp, nooa-memory and nooa-bench, per the official GitHub README.

Is NVIDIA NOOA free?

Yes — NOOA is open source under the Apache 2.0 licence. You pay nothing for the framework itself; your only cost is whichever LLM you connect it to (and that can be a free local model via Ollama).

Which models work with NOOA?

NOOA is model-agnostic and routes through LiteLLM-supported backends, so Claude, GPT, local Ollama models and self-hosted vLLM instances all work via its registry API.

What makes a NOOA method ‘agentic’?

Any method whose body is just ... becomes an agentic method: the LLM-driven loop implements it at runtime, guided by the docstring and constrained by the type annotations. Methods with real Python bodies stay deterministic code.

Is NOOA good for SEO automation?

Yes, if you like Python. Typed inputs and outputs make agents debuggable, which matters when an agent is publishing content or touching live sites. I cover agent-driven SEO systems like this inside the AI Profit Boardroom, with templates and four live calls a week.

Related reading

• Apodex FrontierAgent: Open-Source Agent Framework Guide
• Hermes Agent Architecture
• Prime Agent AI: Full Guide

Last updated August 2026. This is the living guide to how to use NVIDIA NOOA — it gets updated as the tools change.