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    1. Home
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    3. NVIDIA-labs Object Oriented Agents (NOOA)
    NVIDIA-labs Object Oriented Agents (NOOA) icon

    NVIDIA-labs Object Oriented Agents (NOOA)

    Agent Frameworks

    A model-agnostic Python framework for building AI agents as typed Python classes where methods, docstrings and type annotations define behavior.

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    At a Glance

    Pricing
    Open Source

    NOOA core Python framework released under the Apache License 2.0; free to use, modify and distribute.

    Engagement

    Available On

    Web
    API
    SDK
    CLI

    Resources

    WebsiteDocsllms.txt

    Topics

    Agent FrameworksAI Development LibrariesAgent Harness

    Alternatives

    Moltspec-ptcOpenHarness
    Developer
    NVIDIA-NeMo

    Listed Oct 2026

    About NVIDIA-labs Object Oriented Agents (NOOA)

    NVIDIA-labs Object Oriented Agents (NOOA) is a model-agnostic Python framework from NVIDIA for building AI agents as ordinary Python classes. State, capabilities, prompts and typed interfaces are expressed in a single class. The repository's latest listed release is v0.0.10, and the project is released under Apache 2.0.

    What It Is

    NOOA is an agent development framework that offers an object-oriented alternative to frameworks that treat prompts, tools, callbacks and workflows as separate abstractions. An agent is a Python object: fields hold typed state, methods are capabilities, docstrings act as prompts, and type annotations serve as contracts. The project describes itself as research software.

    How Agents Work

    • A method with a ... body becomes a generation method that an LLM-driven strategy implements at runtime. A method with a real body remains deterministic Python.
    • The model acts by writing Python in a Jupyter-style REPL with access to self, imports and helpers. Python methods and type annotations supply the callable interfaces, reducing the need for separate tool-schema definitions.
    • Typed input and output come with auto-retry, live-object arguments are passed by reference, and model-callable context and event APIs are provided.
    • Every LLM call, code execution and method invocation is traced by default, with parent-child spans preserved. A trace viewer runs locally through the nooa start-dev command.

    Setup Path

    The core package installs with uv or pip (nooa). Models are selected through a client registry that works with LiteLLM-supported hosted or local models, with examples for Anthropic, OpenAI, Ollama and vLLM. Optional packages add a CLI with trace viewer and eval runner, an Agent Client Protocol coding agent for hosts such as Zed, a long-term memory subsystem, and a benchmark runner. Notebook tutorials, an examples catalog, a framework tour and a paper with SWE-bench Verified and Terminal-Bench 2.0 results accompany the repository.

    Safety Considerations

    Agents can be configured to execute LLM-generated code. NOOA applies AST checks and module deny-lists, but the README states these are defense-in-depth guardrails, not a containment boundary. It recommends running such agents inside OS-level isolation like a container, VM or NVIDIA OpenShell.

    NVIDIA-labs Object Oriented Agents (NOOA) - 1

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    Pricing

    OPEN SOURCE

    Open Source (Apache 2.0)

    NOOA core Python framework released under the Apache License 2.0; free to use, modify and distribute.

    • Apache License 2.0 (OSI-approved)
    • Model-agnostic Python agent framework
    • Supports hosted or local LiteLLM-supported models (model/inference costs are external)

    Capabilities

    Key Features

    • Agents defined as Python classes with typed state and methods
    • LLM-driven generation methods using `...` bodies
    • Code-as-action execution in a Jupyter-style REPL
    • Typed input/output with auto-retry
    • Live-object arguments passed by reference
    • Default tracing with local trace viewer
    • Model-agnostic via LiteLLM-supported models
    • Optional CLI, ACP, memory and benchmark packages
    • Notebook tutorials and examples catalog

    Integrations

    LiteLLM
    Anthropic
    OpenAI
    Ollama
    vLLM
    Agent Client Protocol
    Zed
    NVIDIA OpenShell
    MCP
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    NVIDIA-NeMo

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    WebsiteGitHub
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